CATCH-ME if you RAG: a dataset of Contextually Annotated multi-Turn Counterspeech against Hate and Misinformation Exchanges

Genoveffa Martone; Helena Bonaldi; Marco Guerini

REVIEW 2 major objections 1 minor 300 references

CATCH-ME if you RAG: a dataset of Contextually Annotated multi-Turn Counterspeech against Hate and Misinformation Exchanges

T0 review · 2 major / 1 minor · reviewed 2026-06-26 · grok-4.3

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Pith's one-line read A new expert-curated multilingual dataset supplies the first large-scale multi-turn counterspeech dialogues against overlapping hate and misinformation, with span annotations for RAG systems.

desk verdict This paper releases a new multilingual multi-turn counterspeech dataset with RAG annotations for the hate-misinfo overlap, filling a documented gap but resting on unshown curation details. read the letter →

arxiv 2606.20369 v1 pith:BFR5XZ4G submitted 2026-06-18 cs.CL

Helena Bonaldi , Genoveffa Martone , Marco Guerini This is my paper · ORCID

classification cs.CL

keywords counterspeechhatespeechmisinformationmultilingualdatasetmulti-turndialoguesRAGannotationsexpert-curated

verification ladder T0 review T1 audit T2 compute T3 formal

The pith

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The reading

The paper introduces the first large-scale, expert-curated, multilingual dataset of multi-turn dialogues that address the intersection of hate speech and misinformation. Prior work has handled these problems separately and mostly in single-turn English, while zero-shot language models tend to produce repetitive or vague counterspeech. The new resource anchors dialogues in verified external sources such as fact-checking articles and NGO reports, and adds document- and chunk-level span annotations. It covers five languages and hate directed at seven marginalized groups. The dataset is designed to support training and evaluation of models that generate more persuasive and factually grounded counterspeech.

What carries the argument

The CATCH-ME dataset of expert-curated multi-turn dialogues with document- and chunk-level span annotations anchored in verified external knowledge sources.

What would settle it

A controlled comparison in which models fine-tuned on this dataset show no reduction in repetitiveness or vagueness, and no gain in factual grounding, relative to zero-shot baselines or existing single-turn English datasets.

Watch

Extended reading notes

Core claim

The paper introduces CATCH-ME, the first large-scale, expert-curated, multilingual dataset of dialogues tackling the intersection of hate and misinformation. The dialogues are multi-turn, span five languages, target seven marginalized groups, are grounded in fact-checking articles and NGO reports, and include document- and chunk-level span annotations, making the resource directly applicable for RAG systems. This fills the gap left by scarce existing counterspeech datasets that are limited to single-turn English dialogues.

Load-bearing premise

Expert-curated multi-turn dialogues accurately capture real-life interactions at the hate-misinformation overlap and that such examples are required to steer models away from repetitive or vague outputs.

Editorial extensions

If this is right

Models trained on the dataset can produce counterspeech that is more persuasive and factually grounded than zero-shot outputs.
The span annotations enable direct integration into RAG pipelines for retrieval-based generation.
The resource supports evaluation across five languages and seven targeted groups.
It provides training data for multi-turn rather than single-turn interactions.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

The dataset could be used to test whether counterspeech quality improves when models retrieve from the provided fact-check anchors versus unguided generation.
Similar annotation schemes might be applied to other overlapping online harms such as conspiracy theories paired with targeted abuse.
Platform moderation tools could incorporate retrieval from the dataset to suggest responses in live multi-turn exchanges.

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Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit.

Desk Editor's Note

read the letter

The main thing here is a dataset release: CATCH-ME gives multi-turn dialogues in five languages, aimed at seven marginalized groups, with span annotations tying responses to fact-checking articles and NGO reports.

It does address a real limitation in the literature. Existing counterspeech resources are mostly single-turn and English-only, so the shift to multilingual and multi-turn plus explicit RAG links is a practical step for people training models that need factual grounding.

The expert curation and the decision to anchor everything in verified external sources are clear positives on paper. If the full text shows consistent annotation guidelines and reasonable scale, this could become a usable resource for moderation work.

The soft spot is the construction process. The abstract claims the dialogues tackle real overlaps, but there is no mention of how the multi-turn structure was built or checked against actual online exchanges. Expert-written examples can differ from organic ones in escalation patterns and response style, and without that validation the transfer to deployed RAG systems stays uncertain. Dataset size, inter-annotator numbers, and quality checks are also missing from the summary, so those need to be in the full version.

This is for researchers building or evaluating counterspeech systems that incorporate retrieval. A reader who needs training data in this narrow intersection would get direct value from the resource if the methodology holds.

It should go to peer review so the curation and validation steps can be examined.

Referee Report

2 major / 1 minor

Summary. The paper introduces CATCH-ME, claimed to be the first large-scale expert-curated multilingual dataset of multi-turn dialogues addressing counterspeech at the intersection of hate speech and misinformation. Dialogues are anchored in verified external knowledge (fact-checking articles and NGO reports) with document- and chunk-level span annotations for direct use in RAG systems, covering five languages and seven marginalized groups.

Significance. If the curation methodology, factual grounding, and annotations are rigorously documented and validated, the dataset would address a clear gap in existing counterspeech resources, which are described as limited to single-turn English dialogues. This could support improved training of models for persuasive, factually grounded responses in multi-turn settings.

major comments (2)

[Dataset construction] Dataset construction section: The paper provides no description of the method used to derive or validate the multi-turn dialogue structures against observed real-world interaction data, which is load-bearing for the central claim that the resource enables training of models that transfer to real exchanges at the hate-misinformation overlap.
[Abstract] Abstract and introduction: The claim of being the 'first' large-scale expert-curated multilingual multi-turn dataset at this intersection requires an explicit, exhaustive comparison table against prior counterspeech datasets; without it the novelty assertion cannot be evaluated.

minor comments (1)

[Abstract] Abstract: The statement that zero-shot models 'frequently generate repetitive and vague responses' is presented without supporting citations or pilot experiments.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for their detailed and constructive feedback. We address each major comment below and will revise the manuscript accordingly to strengthen the presentation of our contributions.

read point-by-point responses

Referee: [Dataset construction] Dataset construction section: The paper provides no description of the method used to derive or validate the multi-turn dialogue structures against observed real-world interaction data, which is load-bearing for the central claim that the resource enables training of models that transfer to real exchanges at the hate-misinformation overlap.

Authors: We agree that additional detail on dialogue construction is warranted. The multi-turn structures were designed by the expert curators (including representatives from fact-checking organizations and NGOs with direct experience in counterspeech) to reflect recurring patterns in real-world online exchanges at the hate-misinformation intersection. In the revised manuscript we will expand the Dataset Construction section with a dedicated subsection describing the iterative expert-driven process used to build the dialogues, including how turn-taking, escalation, and factual rebuttal sequences were modeled on observed interaction dynamics. This will clarify the basis for the transfer claim while remaining transparent that the dialogues are expert-synthesized rather than directly extracted from a scraped corpus. revision: yes
Referee: [Abstract] Abstract and introduction: The claim of being the 'first' large-scale expert-curated multilingual multi-turn dataset at this intersection requires an explicit, exhaustive comparison table against prior counterspeech datasets; without it the novelty assertion cannot be evaluated.

Authors: We accept this point. The revised manuscript will include a new comparison table (placed in the Introduction or a dedicated Related Work subsection) that systematically contrasts CATCH-ME with all prior counterspeech datasets on dimensions including language coverage, number of turns, expert curation, factual grounding via external verified sources, span-level annotations, target groups, and scale. This table will make the novelty claim directly evaluable. revision: yes

Circularity Check

0 steps flagged · score 0.0 of 10

Dataset release paper with no derivation chain or self-referential predictions

full rationale

The paper introduces a new multilingual multi-turn counterspeech dataset with span annotations for RAG use. It contains no equations, fitted parameters, uniqueness theorems, or predictions derived from prior results. The central contribution is the resource itself (expert curation of dialogues anchored in external fact-checks), which does not reduce to any input by construction. No self-citation load-bearing steps or ansatz smuggling appear in the provided text. This matches the default non-circular case for dataset papers.

Assumptions & free parameters 0 free parameters · 0 assumptions · 0 invented entities

The paper's contribution is the creation and annotation of a new dataset. No free parameters are fitted, no axioms are invoked beyond standard NLP practices, and no new entities are invented. The central claim rests on the assertion of expert curation and factual grounding, details of which are not provided in the abstract.

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Cite this review

Pith. "Pith review of CATCH-ME if you RAG: a dataset of Contextually Annotated multi-Turn Counterspeech against Hate and Misinformation Exchanges." pith.science (2026). https://pith.science/paper/BFR5XZ4G

@misc{pith2026260620369,
  author       = {Pith},
  title        = {Pith review of: CATCH-ME if you RAG: a dataset of Contextually Annotated multi-Turn Counterspeech against Hate and Misinformation Exchanges},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/BFR5XZ4G}},
  note         = {Machine review of arXiv:2606.20369}
}

read the original abstract

Online hate speech and misinformation frequently overlap, yet NLP research has mainly treated them in isolation. While LLMs represent a scalable solution for assisting humans in the generation of counterspeech for both threats, zero-shot models frequently generate repetitive and vague responses, underscoring the need for high-quality examples to steer model generation. However, existing counterspeech datasets against the overlap of hate and misinformation are scarce and limited to single-turn English dialogues, while real-life interactions span across multiple turns and languages. To bridge this gap, we introduce the first large-scale, expert-curated, multilingual dataset of dialogues tackling the intersection of hate and misinformation. To ensure factual grounding, the dialogues are also anchored in verified external knowledge (i.e., fact-checking articles and NGO reports) and include document- and chunk-level span annotations, making it directly applicable for RAG systems. Covering five languages and targeting hate directed at seven marginalized groups, this novel resource enables the training and evaluation of more persuasive, factually grounded counterspeech models.

Figures

Figures reproduced from arXiv: 2606.20369 by the authors.

**Figure 2.** Guidelines for selecting articles with potential to fuel hate and discrimination. [PITH_FULL_IMAGE:figures/full_fig_p016_2.png] view at source ↗

Discussion (0). Continue with ORCID to comment.

Reference graph

Works this paper leans on

300 extracted references · 71 canonical work pages

[1]

Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists

Attanasio, Giuseppe and Nozza, Debora and Hovy, Dirk and Baralis, Elena. Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists. Findings of the Association for Computational Linguistics: ACL 2022. 2022. doi:10.18653/v1/2022.findings-acl.88

work page doi:10.18653/v1/2022.findings-acl.88 2022
[2]

2022 , month =

Simone Fontana , title =. 2022 , month =

2022
[3]

2022 , month =

The Associated Press , title =. 2022 , month =

2022
[4]

Proceedings of the First Workshop on Multilingual Counterspeech Generation , pages=

Trenteam at multilingual counterspeech generation: Multilingual passage re-ranking approaches for knowledge-driven counterspeech generation against hate , author=. Proceedings of the First Workshop on Multilingual Counterspeech Generation , pages=
[5]

2026 , eprint=

Assisted Counterspeech Writing at the Crossroads of Hate Speech and Misinformation , author=. 2026 , eprint=

2026
[6]

Proceedings of the 58th annual meeting of the association for computational linguistics , pages=

Unsupervised cross-lingual representation learning at scale , author=. Proceedings of the 58th annual meeting of the association for computational linguistics , pages=
[7]

Proceedings of the 18th conference of the european chapter of the association for computational linguistics: system demonstrations , pages=

Ragas: Automated evaluation of retrieval augmented generation , author=. Proceedings of the 18th conference of the european chapter of the association for computational linguistics: system demonstrations , pages=
[8]

Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models , author=. arXiv preprint arXiv:2506.05176 , year=

work page Pith review arXiv

Show all 300 references

[9]

arXiv preprint arXiv:2407.15831 , year=

NV-Retriever: Improving text embedding models with effective hard-negative mining , author=. arXiv preprint arXiv:2407.15831 , year=
[10]

Advances in neural information processing systems , volume=

Qlora: Efficient finetuning of quantized llms , author=. Advances in neural information processing systems , volume=
[11]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing , pages=

Conqrr: Conversational query rewriting for retrieval with reinforcement learning , author=. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing , pages=

2022
[12]

arXiv preprint arXiv:2407.21783 , year=

The llama 3 herd of models , author=. arXiv preprint arXiv:2407.21783 , year=

arXiv
[13]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages=

Segment any text: A universal approach for robust, efficient and adaptable sentence segmentation , author=. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages=

2024
[14]

Findings of the Association for Computational Linguistics: EMNLP 2023 , pages=

Enhancing conversational search: Large language model-aided informative query rewriting , author=. Findings of the Association for Computational Linguistics: EMNLP 2023 , pages=

2023
[15]

2024 , month = jul # " 18", howpublished =

2024
[16]

1995 , publisher=

Okapi at TREC-3 , author=. 1995 , publisher=

1995
[17]

2024 , eprint=

BGE M3-Embedding: Multi-Lingual, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation , author=. 2024 , eprint=

2024
[18]

2023 , eprint=

Making Large Language Models A Better Foundation For Dense Retrieval , author=. 2023 , eprint=

2023
[19]

arXiv preprint arXiv:2308.11596 , year=

Seamlessm4t: Massively multilingual & multimodal machine translation , author=. arXiv preprint arXiv:2308.11596 , year=
[20]

Department of Peace Operations (DPO)

A conceptual analysis of the overlaps and differences between hate speech, misinformation and disinformation , author=. Department of Peace Operations (DPO). Office of the Special Adviser on the Prevention of Genocide (OSAPG). United Nations , year=
[21]

new media & society , volume=

Global misinformation trends: Commonalities and differences in topics, sources of falsehoods, and deception strategies across eight countries , author=. new media & society , volume=. 2025 , publisher=

2025
[22]

, author=

The proof and measurement of association between two things. , author=. 1961 , publisher=

1961
[23]

Biochemia medica , volume=

Interrater reliability: the kappa statistic , author=. Biochemia medica , volume=. 2012 , publisher=

2012
[24]

, author=

A new readability yardstick. , author=. Journal of applied psychology , volume=. 1948 , publisher=

1948
[25]

Derivation of new readability formulas (automated readability index, fog count and flesch reading ease formula) for navy enlisted personnel , author=
[26]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=

End-to-end multimodal fact-checking and explanation generation: A challenging dataset and models , author=. Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=
[27]

Accountable and Explainable Methods for Complex Reasoning over Text , pages=

Generating fact checking explanations , author=. Accountable and Explainable Methods for Complex Reasoning over Text , pages=. 2024 , publisher=

2024
[28]

Understanding Counterspeech for Online Harm Mitigation

Chung, Yi-Ling and Abercrombie, Gavin and Enock, Florence and Bright, Jonathan and Rieser, Verena. Understanding Counterspeech for Online Harm Mitigation. Northern European Journal of Language Technology. 2024. doi:10.3384/nejlt.2000-1533.2024.5203

2024 doi
[29]

NLP for Counterspeech against Hate and Misinformation ( CSHAM )

Russo, Daniel and Bonaldi, Helena and Chung, Yi-Ling and Abercrombie, Gavin and Guerini, Marco. NLP for Counterspeech against Hate and Misinformation ( CSHAM ). Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 5: Tutorial Abstract...

2025 doi
[30]

Proceedings of the twelfth ACM international conference on web search and data mining , pages=

Exfakt: A framework for explaining facts over knowledge graphs and text , author=. Proceedings of the twelfth ACM international conference on web search and data mining , pages=
[31]

on the impact of pre-aggregation on the evaluation of highly subjective tasks , author=

It’s the end of the gold standard as we know it. on the impact of pre-aggregation on the evaluation of highly subjective tasks , author=. CEUR workshop proceedings , volume=. 2020 , organization=

2020
[32]

2022 , publisher=

Digital work in the planetary market , author=. 2022 , publisher=

2022
[33]

2020 , publisher=

Behind the screen: Content moderation in the shadows of social media , author=. 2020 , publisher=

2020
[34]

The Risk of Racial Bias in Hate Speech Detection

Sap, Maarten and Card, Dallas and Gabriel, Saadia and Choi, Yejin and Smith, Noah A. The Risk of Racial Bias in Hate Speech Detection. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. 2019. doi:10.18653/v1/P19-1163

2019 doi
[35]

Proceedings of the third workshop on abusive language online , year=

Challenges and frontiers in abusive content detection , author=. Proceedings of the third workshop on abusive language online , year=
[36]

A systematic review of hate speech automatic detection using natural language processing , journal =

Md Saroar Jahan and Mourad Oussalah , keywords =. A systematic review of hate speech automatic detection using natural language processing , journal =. 2023 , issn =. doi:https://doi.org/10.1016/j.neucom.2023.126232 , url =

2023 doi
[37]

Is Attention Interpretable?

Serrano, Sofia and Smith, Noah A. Is Attention Interpretable?. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. 2019. doi:10.18653/v1/P19-1282

2019 doi
[38]

A ttention is not E xplanation

Jain, Sarthak and Wallace, Byron C. A ttention is not E xplanation. Proceedings of the 2019 Conference of the North A merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers). 2019. doi:10.18653/v1/N19-1357

2019 doi
[39]

RU 22 F act: Optimizing Evidence for Multilingual Explainable Fact-Checking on R ussia- U kraine Conflict

Zeng, Yirong and Ding, Xiao and Zhao, Yi and Li, Xiangyu and Zhang, Jie and Yao, Chao and Liu, Ting and Qin, Bing. RU 22 F act: Optimizing Evidence for Multilingual Explainable Fact-Checking on R ussia- U kraine Conflict. Proceedings of the 2024 Joint International Conference ...

2024
[40]

Proceedings of the 18th International Natural Language Generation Conference , pages=

Face the Facts! Evaluating RAG-based Pipelines for Professional Fact-Checking , author=. Proceedings of the 18th International Natural Language Generation Conference , pages=
[41]

Proceedings of the 2020 Truth and Trust Online (TTO 2020) , pages=

e-fever: Explanations and summaries for automated fact checking , author=. Proceedings of the 2020 Truth and Trust Online (TTO 2020) , pages=. 2020 , publisher=

2020
[42]

Findings of the Association for Computational Linguistics: ACL 2025 , pages=

EuroVerdict: A Multilingual Dataset for Verdict Generation Against Misinformation , author=. Findings of the Association for Computational Linguistics: ACL 2025 , pages=

2025
[43]

D e C lar E : Debunking Fake News and False Claims using Evidence-Aware Deep Learning

Popat, Kashyap and Mukherjee, Subhabrata and Yates, Andrew and Weikum, Gerhard. D e C lar E : Debunking Fake News and False Claims using Evidence-Aware Deep Learning. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. 2018. doi:10.18653/v1/D18-1003

2018 doi
[44]

Proceedings of the 1st Workshop on CounterSpeech for Online Abuse (CS4OA) , pages=

From generic to personalized: Investigating strategies for generating targeted counter narratives against hate speech , author=. Proceedings of the 1st Workshop on CounterSpeech for Online Abuse (CS4OA) , pages=
[45]

arXiv preprint arXiv:2303.08774 , year=

Gpt-4 technical report , author=. arXiv preprint arXiv:2303.08774 , year=

arXiv
[46]

arXiv preprint arXiv:1609.07843 , year=

Pointer sentinel mixture models , author=. arXiv preprint arXiv:1609.07843 , year=

arXiv
[47]

N ewsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies

Grusky, Max and Naaman, Mor and Artzi, Yoav. N ewsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies. Proceedings of the 2018 Conference of the North A merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volum...

2018 doi
[48]

Towards Knowledge-Grounded Counter Narrative Generation for Hate Speech

Chung, Yi-Ling and Tekiro g lu, Serra Sinem and Guerini, Marco. Towards Knowledge-Grounded Counter Narrative Generation for Hate Speech. Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. 2021. doi:10.18653/v1/2021.findings-acl.79

2021 doi
[49]

Procesamiento del lenguaje natural , volume=

Automatic counter-narrative generation for hate speech in spanish , author=. Procesamiento del lenguaje natural , volume=
[50]

Generating Counter Narratives against Online Hate Speech: Data and Strategies

Tekiro g lu, Serra Sinem and Chung, Yi-Ling and Guerini, Marco. Generating Counter Narratives against Online Hate Speech: Data and Strategies. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. 2020. doi:10.18653/v1/2020.acl-main.110

2020 doi
[51]

A Benchmark Dataset for Learning to Intervene in Online Hate Speech

Qian, Jing and Bethke, Anna and Liu, Yinyin and Belding, Elizabeth and Wang, William Yang. A Benchmark Dataset for Learning to Intervene in Online Hate Speech. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Join...

2019 doi
[52]

Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Pinpointing fine-grained relationships between hateful tweets and replies , author=. Proceedings of the AAAI Conference on Artificial Intelligence , volume=
[53]

Countering Misinformation via Emotional Response Generation

Russo, Daniel and Kaszefski-Yaschuk, Shane and Staiano, Jacopo and Guerini, Marco. Countering Misinformation via Emotional Response Generation. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. 2023. doi:10.18653/v1/2023.emnlp-main.703

2023 doi
[54]

This is fake news

“This is fake news”: Investigating the role of conformity to other users’ views when commenting on and spreading disinformation in social media , author=. Computers in Human Behavior , volume=. 2019 , publisher=

2019
[55]

Political Behavior , volume=

When corrections fail: The persistence of political misperceptions , author=. Political Behavior , volume=. 2010 , publisher=

2010
[56]

2018 , school=

(Dis) continuing the continued influence effect of misinformation , author=. 2018 , school=

2018
[57]

, author=

Fear, misinformation, and innumerates: how the Wakefield paper, the press, and advocacy groups damaged the public health. , author=. Vaccine , volume=
[58]

The lancet , volume=

RETRACTED: Ileal-lymphoid-nodular hyperplasia, non-specific colitis, and pervasive developmental disorder in children , author=. The lancet , volume=. 1998 , publisher=

1998
[59]

Memory & cognition , volume=

Explicit warnings reduce but do not eliminate the continued influence of misinformation , author=. Memory & cognition , volume=. 2010 , publisher=

2010
[60]

Studies in Communication and Media , number=

Countering misinformation: Strategies, challenges, and uncertainties , author=. Studies in Communication and Media , number=. 2019 , publisher=

2019
[61]

Proceedings of the 15th ACM Web Science Conference 2023 , pages=

Characterizing and predicting social correction on twitter , author=. Proceedings of the 15th ACM Web Science Conference 2023 , pages=

2023
[62]

2014 , publisher=

How people read on the web: The eyetracking evidence , author=. 2014 , publisher=

2014
[63]

``Liar, Liar Pants on Fire'': A New Benchmark Dataset for Fake News Detection

Wang, William Yang. ``Liar, Liar Pants on Fire'': A New Benchmark Dataset for Fake News Detection. Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). 2017. doi:10.18653/v1/P17-2067

2017 doi
[64]

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Language-aware truth assessment of fact candidates , author=. Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=
[65]

Management science , volume=

The implied truth effect: Attaching warnings to a subset of fake news headlines increases perceived accuracy of headlines without warnings , author=. Management science , volume=. 2020 , publisher=

2020
[66]

Proceedings of the International AAAI Conference on Web and Social Media , volume=

Do explanations increase the effectiveness of AI-crowd generated fake news warnings? , author=. Proceedings of the International AAAI Conference on Web and Social Media , volume=
[67]

30th USENIX Security Symposium (USENIX Security 21) , pages=

Adapting security warnings to counter online disinformation , author=. 30th USENIX Security Symposium (USENIX Security 21) , pages=
[68]

Computers & security , volume=

Misinformation warnings: Twitter’s soft moderation effects on COVID-19 vaccine belief echoes , author=. Computers & security , volume=. 2022 , publisher=

2022
[69]

Transactions of the Association for Computational Linguistics , volume=

A survey on automated fact-checking , author=. Transactions of the Association for Computational Linguistics , volume=. 2022 , publisher=

2022
[70]

Communication Research Reports , volume=

Playing nice: Modeling civility in online political discussions , author=. Communication Research Reports , volume=. 2015 , publisher=

2015
[71]

Personality and Social Psychology Bulletin , volume=

Further progress in understanding the effects of derogatory ethnic labels: The role of preexisting attitudes toward the targeted group , author=. Personality and Social Psychology Bulletin , volume=. 1996 , publisher=

1996
[72]

Proceedings of the international AAAI conference on web and social media , volume=

If you have a reliable source, say something: effects of correction comments on covid-19 misinformation , author=. Proceedings of the international AAAI conference on web and social media , volume=
[73]

Frontiers in Psychology , volume=

Changing conspiracy beliefs through rationality and ridiculing , author=. Frontiers in Psychology , volume=. 2016 , publisher=

2016
[74]

American politics research , volume=

Debating the truth: The impact of fact-checking during electoral debates , author=. American politics research , volume=. 2017 , publisher=

2017
[75]

2015 , publisher=

Hate speech law: A philosophical examination , author=. 2015 , publisher=

2015
[76]

Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems , pages=

Counterspeakers’ perspectives: Unveiling barriers and ai needs in the fight against online hate , author=. Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems , pages=

2024
[77]

IEEE INFOCOM 2021-IEEE conference on computer communications , pages=

Setting the record straighter on shadow banning , author=. IEEE INFOCOM 2021-IEEE conference on computer communications , pages=. 2021 , organization=

2021
[78]

Proceedings of the ACM on human-computer interaction , volume=

You can't stay here: The efficacy of reddit's 2015 ban examined through hate speech , author=. Proceedings of the ACM on human-computer interaction , volume=. 2017 , publisher=

2015
[79]

PNAS nexus , volume=

Deplatforming did not decrease Parler users’ activity on fringe social media , author=. PNAS nexus , volume=. 2023 , publisher=

2023
[80]

Internet Policy Review , volume=

Expanding the debate about content moderation: Scholarly research agendas for the coming policy debates , author=. Internet Policy Review , volume=. 2020 , publisher=

2020
[81]

arXiv preprint arXiv:2404.08110 , year=

Toxic Synergy Between Hate Speech and Fake News Exposure , author=. arXiv preprint arXiv:2404.08110 , year=
[82]

Psychological science in the public interest , volume=

Misinformation and its correction: Continued influence and successful debiasing , author=. Psychological science in the public interest , volume=. 2012 , publisher=

2012
[83]

Naive realism

Actual versus assumed differences in construal:" Naive realism" in intergroup perception and conflict. , author=. Journal of personality and social psychology , volume=. 1995 , publisher=

1995
[84]

The Routledge companion to media disinformation and populism , pages=

Global responses to misinformation and populism , author=. The Routledge companion to media disinformation and populism , pages=. 2021 , publisher=

2021
[85]

NIM Marketing Intelligence Review , volume=

How truthiness, fake news and post-fact endanger brands and what to do about it , author=. NIM Marketing Intelligence Review , volume=. 2018 , publisher=

2018
[86]

International Journal of Environmental Research and Public Health , volume=

The determinants of panic buying during COVID-19 , author=. International Journal of Environmental Research and Public Health , volume=. 2021 , publisher=

2021
[87]

post-truth

Beyond misinformation: Understanding and coping with the “post-truth” era , author=. Journal of applied research in memory and cognition , volume=. 2017 , publisher=

2017
[88]

Communication Research , volume=

Credibility perceptions and detection accuracy of fake news headlines on social media: Effects of truth-bias and endorsement cues , author=. Communication Research , volume=. 2022 , publisher=

2022
[89]

Perspectives on Psychological Science , volume=

(Why) is misinformation a problem? , author=. Perspectives on Psychological Science , volume=. 2023 , publisher=

2023
[90]

science , volume=

The spread of true and false news online , author=. science , volume=. 2018 , publisher=

2018
[91]

Personality and Social Psychology Review , volume=

The truth about the truth: A meta-analytic review of the truth effect , author=. Personality and Social Psychology Review , volume=. 2010 , publisher=

2010
[92]

Psychonomic bulletin & review , volume=

Repetition increases perceived truth equally for plausible and implausible statements , author=. Psychonomic bulletin & review , volume=. 2019 , publisher=

2019
[93]

Heuristics and biases: The psychology of intuitive judgment , volume=

Representativeness revisited: Attribute substitution in intuitive judgment , author=. Heuristics and biases: The psychology of intuitive judgment , volume=
[94]

Nature , volume=

Shifting attention to accuracy can reduce misinformation online , author=. Nature , volume=. 2021 , publisher=

2021
[95]

Journal of Economic perspectives , volume=

Cognitive reflection and decision making , author=. Journal of Economic perspectives , volume=. 2005 , publisher=

2005
[96]

Cognition , volume=

Lazy, not biased: Susceptibility to partisan fake news is better explained by lack of reasoning than by motivated reasoning , author=. Cognition , volume=. 2019 , publisher=

2019
[97]

Social Issues and Policy Review , volume=

Political psychology in the digital (mis) information age: A model of news belief and sharing , author=. Social Issues and Policy Review , volume=. 2021 , publisher=

2021
[98]

Harvard Kennedy School Misinformation Review , volume=

A survey of expert views on misinformation: Definitions, determinants, solutions, and future of the field , author=. Harvard Kennedy School Misinformation Review , volume=. 2023 , publisher=

2023
[99]

Information Systems Frontiers , volume=

A confirmation bias view on social media induced polarisation during Covid-19 , author=. Information Systems Frontiers , volume=. 2024 , publisher=

2024
[100]

Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing , pages=

Keeping up with the tweet-dashians: The impact of'official'accounts on online rumoring , author=. Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing , pages=
[101]

Nature communications , volume=

The spread of low-credibility content by social bots , author=. Nature communications , volume=. 2018 , publisher=

2018
[102]

2022 , publisher=

Research note: Fighting misinformation or fighting for information? , author=. 2022 , publisher=

2022
[103]

2025 , publisher=

Tecnopanico: media digitali tra ragionevoli cautele e paure ingiustificate , author=. 2025 , publisher=

2025
[104]

Social media and democracy: The state of the field, prospects for reform , volume=

Misinformation, disinformation, and online propaganda , author=. Social media and democracy: The state of the field, prospects for reform , volume=
[105]

The Palgrave handbook of global political psychology , pages=

Group-focused enmity: Prevalence, correlations and causes of prejudices in Europe , author=. The Palgrave handbook of global political psychology , pages=. 2014 , publisher=

2014
[106]

Diogenes , volume=

The power of visual material: Persuasion, emotion and identification , author=. Diogenes , volume=. 2008 , publisher=

2008
[107]

Organizational behavior and human decision processes , volume=

Knowledge transfer between groups via personnel rotation: Effects of social identity and knowledge quality , author=. Organizational behavior and human decision processes , volume=. 2005 , publisher=

2005
[108]

Dangerous Speech Project

Benesch, Susan and Ruths, Derek and P Dillon, Kelly and Mohammad Saleem, Haji and Wright, Lucas , Date-Added =. Dangerous Speech Project. Available at: https://dangerousspeech.org/counterspeech-on-twitter-a-field- study/ , Title =
[109]

Political Behavior , volume=

Tweetment effects on the tweeted: Experimentally reducing racist harassment , author=. Political Behavior , volume=. 2017 , publisher=

2017
[110]

Social Science Computer Review , volume=

Countering hate speech on Facebook: The case of the Roma minority in Slovakia , author=. Social Science Computer Review , volume=. 2020 , publisher=

2020
[111]

Counterspeech 2000: A new look at the old remedy for bad speech , author=. BYU L. Rev. , pages=. 2000 , publisher=

2000
[112]

66th ica annual conference, at fukuoka, japan , pages=

Governing hate speech by means of counterspeech on Facebook , author=. 66th ica annual conference, at fukuoka, japan , pages=
[113]

European Journal of Social Psychology , volume=

Descriptive norms, prescriptive norms, and social control: An intercultural comparison of people's reactions to uncivil behaviors , author=. European Journal of Social Psychology , volume=. 2010 , publisher=

2010
[114]

British Journal of Social Psychology , volume=

A quarter century of system justification theory: Questions, answers, criticisms, and societal applications , author=. British Journal of Social Psychology , volume=. 2019 , publisher=

2019
[115]

Aggressive behavior , volume=

Exposure to hate speech increases prejudice through desensitization , author=. Aggressive behavior , volume=. 2018 , publisher=

2018
[116]

Journal of experimental social psychology , volume=

The effect of video game violence on physiological desensitization to real-life violence , author=. Journal of experimental social psychology , volume=. 2007 , publisher=

2007
[117]

Neurobiology of learning and memory , volume=

Habituation revisited: an updated and revised description of the behavioral characteristics of habituation , author=. Neurobiology of learning and memory , volume=. 2009 , publisher=

2009
[118]

1954 , publisher=

The nature of prejudice , author=. 1954 , publisher=

1954
[119]

Social Media+ Society , volume=

Assessing the extent and types of hate speech in fringe communities: A case study of alt-right communities on 8chan, 4chan, and Reddit , author=. Social Media+ Society , volume=. 2021 , publisher=

2021
[120]

Soul of society: A focus on the lives of children & youth , pages=

Exposure to online hate among young social media users , author=. Soul of society: A focus on the lives of children & youth , pages=. 2014 , publisher=

2014
[121]

Journal of Social issues , volume=

The syndrome of group-focused enmity: The interrelation of prejudices tested with multiple cross-sectional and panel data , author=. Journal of Social issues , volume=. 2008 , publisher=

2008
[122]

Romanian Journal of Communication and Public Relations , volume=

Hate speech in social media and its effects on the LGBT community: A review of the current research , author=. Romanian Journal of Communication and Public Relations , volume=
[123]

Systematic review , author=

Internet, social media and online hate speech. Systematic review , author=. Aggression and violent behavior , volume=. 2021 , publisher=

2021
[124]

The dynamic effects of derogatory language on intergroup relations and political radicalization , author=

Hate speech epidemic. The dynamic effects of derogatory language on intergroup relations and political radicalization , author=. Political Psychology , volume=. 2020 , publisher=

2020
[125]

International journal of environmental research and public health , volume=

Associations between bystanders and perpetrators of online hate: The moderating role of toxic online disinhibition , author=. International journal of environmental research and public health , volume=. 2018 , publisher=

2018
[126]

How severity of hate speech, number of bystanders, and prior reactions of others affect bystanders’ intention to counterargue against hate speech on Facebook , author=

Perceiving threat and feeling responsible. How severity of hate speech, number of bystanders, and prior reactions of others affect bystanders’ intention to counterargue against hate speech on Facebook , author=. SCM Studies in Communication and Media , volume=. 2018 , publisher=

2018
[127]

Crime Science , volume=

Online hate speech victimization: consequences for victims’ feelings of insecurity , author=. Crime Science , volume=. 2024 , publisher=

2024
[128]

Deviant Behavior , volume=

Hate knows no boundaries: Online hate in six nations , author=. Deviant Behavior , volume=. 2021 , publisher=

2021
[129]

arXiv preprint arXiv:1701.08118 , year=

Measuring the reliability of hate speech annotations: The case of the european refugee crisis , author=. arXiv preprint arXiv:1701.08118 , year=

arXiv
[130]

Cyberpsychology: Journal of Psychosocial Research on Cyberspace , volume=

Tackling hate speech online: The effect of counter-speech on subsequent bystander behavioral intentions , author=. Cyberpsychology: Journal of Psychosocial Research on Cyberspace , volume=
[131]

Multilingual and Multi-Aspect Hate Speech Analysis

Ousidhoum, Nedjma and Lin, Zizheng and Zhang, Hongming and Song, Yangqiu and Yeung, Dit-Yan. Multilingual and Multi-Aspect Hate Speech Analysis. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on...

2019 doi
[132]

Proceedings of the NAACL student research workshop , pages=

Hateful symbols or hateful people? predictive features for hate speech detection on twitter , author=. Proceedings of the NAACL student research workshop , pages=
[133]

Ceur workshop proceedings , volume=

Hate speech annotation: Analysis of an italian twitter corpus , author=. Ceur workshop proceedings , volume=. 2017 , organization=

2017
[134]

Weigh Your Own Words: Improving Hate Speech Counter Narrative Generation via Attention Regularization

Bonaldi, Helena and Attanasio, Giuseppe and Nozza, Debora and Guerini, Marco. Weigh Your Own Words: Improving Hate Speech Counter Narrative Generation via Attention Regularization. Proceedings of the 1st Workshop on CounterSpeech for Online Abuse (CS4OA). 2023

2023
[135]

arXiv preprint arXiv:2310.02095 , year=

A survey on the role of crowds in combating online misinformation: Annotators, evaluators, and creators , author=. arXiv preprint arXiv:2310.02095 , year=
[136]

arXiv preprint arXiv:2308.01263 , year=

Xstest: A test suite for identifying exaggerated safety behaviours in large language models , author=. arXiv preprint arXiv:2308.01263 , year=

arXiv
[137]

arXiv preprint arXiv:2112.00861 , year=

A general language assistant as a laboratory for alignment , author=. arXiv preprint arXiv:2112.00861 , year=

arXiv
[138]

arXiv preprint arXiv:2311.08370 , year=

SimpleSafetyTests: a Test Suite for Identifying Critical Safety Risks in Large Language Models , author=. arXiv preprint arXiv:2311.08370 , year=
[139]

Proceedings of ACL-IJCNLP 2015 System Demonstrations , pages=

End-to-end argument generation system in debating , author=. Proceedings of ACL-IJCNLP 2015 System Demonstrations , pages=

2015
[140]

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Retrieval of the best counterargument without prior topic knowledge , author=. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=
[141]

B asque and S panish Counter Narrative Generation: Data Creation and Evaluation

Bengoetxea, Jaione and Chung, Yi-Ling and Guerini, Marco and Agerri, Rodrigo. B asque and S panish Counter Narrative Generation: Data Creation and Evaluation. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation...

2024
[142]

Journal of English for Academic Purposes , author =

Assessing the quality of arguments in students' persuasive writing:. Journal of English for Academic Purposes , author =. 2015 , keywords =. doi:10.1016/j.jeap.2014.11.006 , abstract =

2015 doi
[143]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=

Argue with Me Tersely: Towards Sentence-Level Counter-Argument Generation , author=. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=

2023
[144]

arXiv preprint arXiv:2209.07858 , year=

Red teaming language models to reduce harms: Methods, scaling behaviors, and lessons learned , author=. arXiv preprint arXiv:2209.07858 , year=

arXiv
[145]

arXiv preprint arXiv:2212.08073 , year=

Constitutional ai: Harmlessness from ai feedback , author=. arXiv preprint arXiv:2212.08073 , year=

arXiv
[146]

arXiv preprint arXiv:2303.18223 , volume=

A survey of large language models , author=. arXiv preprint arXiv:2303.18223 , volume=

arXiv
[147]

arXiv preprint arXiv:2204.05862 , year=

Training a helpful and harmless assistant with reinforcement learning from human feedback , author=. arXiv preprint arXiv:2204.05862 , year=

arXiv
[148]

arXiv preprint arXiv:1705.09899 , year=

Understanding abuse: A typology of abusive language detection subtasks , author=. arXiv preprint arXiv:1705.09899 , year=

arXiv
[149]

Jiang, Albert Q. and Sablayrolles, Alexandre and Mensch, Arthur and Bamford, Chris and Chaplot, Devendra Singh and Casas, Diego de las and Bressand, Florian and Lengyel, Gianna and Lample, Guillaume and Saulnier, Lucile and Lavaud, Lélio Renard and Lachaux, Marie-Anne and Stoc...

doi arXiv
[150]

Proceedings of the 10th ACM Conference on Web Science , pages =

Saha, Koustuv and Chandrasekharan, Eshwar and De Choudhury, Munmun , title =. Proceedings of the 10th ACM Conference on Web Science , pages =. 2019 , isbn =. doi:10.1145/3292522.3326032 , abstract =

2019 doi
[151]

Social media and democracy: The state of the field, prospects for reform , pages=

Online hate speech , author=. Social media and democracy: The state of the field, prospects for reform , pages=. 2020 , publisher=

2020
[152]

Available at SSRN 4245211 , year=

Why They Do It: Counterspeech Theories of Change , author=. Available at SSRN 4245211 , year=
[153]

Oxford studies in experimental philosophy , volume=

Carving up the social world with generics , author=. Oxford studies in experimental philosophy , volume=. 2014 , publisher=

2014
[154]

Tworek , title =

Marjorie Rhodes and Sarah-Jane Leslie and Christina M. Tworek , title =. Proceedings of the National Academy of Sciences , volume =. 2012 , doi =. https://www.pnas.org/doi/pdf/10.1073/pnas.1208951109 , abstract =

2012 doi
[155]

Symposium of the Austrian HCI and Usability Engineering Group , pages=

Construction and evaluation of a user experience questionnaire , author=. Symposium of the Austrian HCI and Usability Engineering Group , pages=. 2008 , organization=

2008
[156]

Reflections , volume=

Countering violent extremism through media and communication strategies , author=. Reflections , volume=
[157]

Introduction to information retrieval , author=
[158]

arXiv preprint arXiv:2302.04166 , year=

GPTScore: Evaluate as You Desire , author=. arXiv preprint arXiv:2302.04166 , year=

arXiv
[159]

2022 , note=

Perspective. 2022 , note=

2022
[160]

EMNLP 2018 , pages=

GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding , author=. EMNLP 2018 , pages=

2018
[161]

Advances in neural information processing systems , volume=

Superglue: A stickier benchmark for general-purpose language understanding systems , author=. Advances in neural information processing systems , volume=
[162]

arXiv preprint arXiv:2310.06825 , year=

Mistral 7B , author=. arXiv preprint arXiv:2310.06825 , year=

arXiv
[163]

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Investigating the sources of linguistic alignment in conversation , author=. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=
[164]

Proceedings of the first workshop on fact extraction and verification (FEVER) , pages=

Where is your evidence: Improving fact-checking by justification modeling , author=. Proceedings of the first workshop on fact extraction and verification (FEVER) , pages=
[165]

Transactions of the Association for Computational Linguistics , volume =

Russo, Daniel and Tekiroğlu, Serra Sinem and Guerini, Marco , title = ". Transactions of the Association for Computational Linguistics , volume =. 2023 , month =. doi:10.1162/tacl_a_00601 , url =

2023 doi
[166]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , year=

Selfcheckgpt: Zero-resource black-box hallucination detection for generative large language models , author=. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , year=

2023
[167]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , year=

Beyond Denouncing Hate: Strategies for Countering Implied Biases and Stereotypes in Language , author=. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , year=

2023
[168]

Hashimoto , title =

Rohan Taori and Ishaan Gulrajani and Tianyi Zhang and Yann Dubois and Xuechen Li and Carlos Guestrin and Percy Liang and Tatsunori B. Hashimoto , title =. GitHub repository , howpublished =. 2023 , publisher =

2023
[169]

Proceedings of the Second Workshop on NLP for Positive Impact (NLP4PI)

Towards countering essentialism through social bias reasoning , author=. Proceedings of the Second Workshop on NLP for Positive Impact (NLP4PI). 2022

2022
[170]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Paradetox: Detoxification with parallel data , author=. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=
[171]

, author=

A systematic review of Hate Speech automatic detection using Natural Language Processing. , author=. Neurocomputing , pages=. 2023 , publisher=

2023
[172]

Proceedings of the 13th international workshop on semantic evaluation , pages=

Semeval-2019 task 5: Multilingual detection of hate speech against immigrants and women in twitter , author=. Proceedings of the 13th international workshop on semantic evaluation , pages=

2019
[173]

arXiv , pages=

GPT-4 technical report , author=. arXiv , pages=
[174]

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) , pages=

FEVER: a Large-scale Dataset for Fact Extraction and VERification , author=. Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) , pages=

2018
[175]

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , pages=

Bot-adversarial dialogue for safe conversational agents , author=. Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , pages=

2021
[176]

Dangerous speech project , year=

Considerations for successful counterspeech , author=. Dangerous speech project , year=
[177]

arXiv preprint arXiv:2308.16705 , year=

CReHate: Cross-cultural Re-annotation of English Hate Speech Dataset , author=. arXiv preprint arXiv:2308.16705 , year=
[178]

4REAL 2018 Workshop on Replicability and Reproducibility of Research Results in Science and Technology of Language , pages=

Examining a hate speech corpus for hate speech detection and popularity prediction , author=. 4REAL 2018 Workshop on Replicability and Reproducibility of Research Results in Science and Technology of Language , pages=

2018
[179]

arXiv preprint arXiv:2310.05650 , year=

RAUCG: Retrieval-Augmented Unsupervised Counter Narrative Generation for Hate Speech , author=. arXiv preprint arXiv:2310.05650 , year=
[180]

International journal of surgery , volume=

Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement , author=. International journal of surgery , volume=. 2010 , publisher=

2010
[181]

Aggression and violent behavior , volume=

The affinity between online and offline anti-Muslim hate crime: Dynamics and impacts , author=. Aggression and violent behavior , volume=. 2016 , publisher=

2016
[182]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets , author=. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=
[183]

arXiv preprint arXiv:2112.08674 , year=

Reframing human-ai collaboration for generating free-text explanations , author=. arXiv preprint arXiv:2112.08674 , year=
[184]

arXiv preprint arXiv:2202.05144 , year=

InPars: Data Augmentation for Information Retrieval using Large Language Models , author=. arXiv preprint arXiv:2202.05144 , year=
[185]

Conversational dialogue systems for the next decade , pages=

Toxicbot: A conversational agent to fight online hate speech , author=. Conversational dialogue systems for the next decade , pages=. 2021 , publisher=

2021
[186]

arXiv preprint arXiv:2205.06905 , year=

Perspectives on Incorporating Expert Feedback into Model Updates , author=. arXiv preprint arXiv:2205.06905 , year=
[187]

arXiv preprint arXiv:2302.00083 , year=

In-context retrieval-augmented language models , author=. arXiv preprint arXiv:2302.00083 , year=
[188]

Advances in Neural Information Processing Systems , volume=

Retrieval-augmented generation for knowledge-intensive nlp tasks , author=. Advances in Neural Information Processing Systems , volume=
[189]

arXiv preprint arXiv:2201.05955 , year=

Wanli: Worker and ai collaboration for natural language inference dataset creation , author=. arXiv preprint arXiv:2201.05955 , year=
[190]

Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 , pages=

Generate, Prune, Select: A Pipeline for Counterspeech Generation against Online Hate Speech , author=. Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 , pages=

2021
[191]

Proceedings of the AAAI Conference on Artificial Intelligence , volume=

HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection , author=. Proceedings of the AAAI Conference on Artificial Intelligence , volume=
[192]

12th ACM Conference on Web Science , pages=

Deephate: Hate speech detection via multi-faceted text representations , author=. 12th ACM Conference on Web Science , pages=
[193]

Proceedings of the Third Workshop on Abusive Language Online , pages=

Racial Bias in Hate Speech and Abusive Language Detection Datasets , author=. Proceedings of the Third Workshop on Abusive Language Online , pages=
[194]

New Media & Society , volume=

Censored, suspended, shadowbanned: User interpretations of content moderation on social media platforms , author=. New Media & Society , volume=. 2018 , publisher=

2018
[195]

Like Trainer, Like Bot? Inheritance of Bias in Algorithmic Content Moderation

Binns, Reuben and Veale, Michael and Van Kleek, Max and Shadbolt, Nigel. Like Trainer, Like Bot? Inheritance of Bias in Algorithmic Content Moderation. Social Informatics. 2017

2017
[196]

SocialNLP 2020 , pages=

Demoting Racial Bias in Hate Speech Detection , author=. SocialNLP 2020 , pages=

2020
[197]

Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics , pages=

Argument Generation with Retrieval, Planning, and Realization , author=. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics , pages=
[198]

Fortifying Toxic Speech Detectors Against Veiled Toxicity

Han, Xiaochuang and Tsvetkov, Yulia. Fortifying Toxic Speech Detectors Against Veiled Toxicity. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2020. doi:10.18653/v1/2020.emnlp-main.622

2020 doi
[199]

Science China Technological Sciences , pages=

Pre-trained models for natural language processing: A survey , author=. Science China Technological Sciences , pages=. 2020 , publisher=

2020
[200]

arXiv preprint arXiv:1702.08138 , year=

Deceiving google's perspective api built for detecting toxic comments , author=. arXiv preprint arXiv:1702.08138 , year=

arXiv
[201]

2020 IEEE Winter Conference on Applications of Computer Vision (WACV) , pages=

Exploring Hate Speech Detection in Multimodal Publications , author=. 2020 IEEE Winter Conference on Applications of Computer Vision (WACV) , pages=. 2020 , organization=

2020
[202]

Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017 , pages=

Detecting Online Hate Speech Using Context Aware Models , author=. Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017 , pages=

2017
[203]

Corpus pragmatics: international journal of corpus linguistics and pragmatics , volume=

The SFU Opinion and Comments Corpus: A Corpus for the Analysis of Online News Comments , author=. Corpus pragmatics: international journal of corpus linguistics and pragmatics , volume=
[204]

Advances in Neural Information Processing Systems , volume=

The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes , author=. Advances in Neural Information Processing Systems , volume=
[205]

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Cross-domain text classification with multiple domains and disparate label sets , author=. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=
[206]

arXiv preprint arXiv:1907.11692 , year=

RoBERTa: A Robustly Optimized BERT Pretraining Approach , author=. arXiv preprint arXiv:1907.11692 , year=

1907 arXiv
[207]

XLNet: Generalized Autoregressive Pretraining for Language Understanding , author=
[208]

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Universal Language Model Fine-tuning for Text Classification , author=. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=
[209]

, author=

Exploring the limits of transfer learning with a unified text-to-text transformer. , author=. J. Mach. Learn. Res. , volume=
[210]

Information Sciences , volume=

YAKE! Keyword extraction from single documents using multiple local features , author=. Information Sciences , volume=. 2020 , publisher=

2020
[211]

Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing-Volume Part I , pages=

Unsupervised feature adaptation for cross-domain NLP with an application to compositionality grading , author=. Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing-Volume Part I , pages=
[212]

arXiv e-prints , pages=

Recipes for Safety in Open-domain Chatbots , author=. arXiv e-prints , pages=
[213]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages=

Explainable Automated Fact-Checking for Public Health Claims , author=. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages=

2020
[214]

Information , volume=

Generating fluent fact checking explanations with unsupervised post-editing , author=. Information , volume=. 2022 , publisher=

2022
[215]

OpenAI blog , volume=

Language models are unsupervised multitask learners , author=. OpenAI blog , volume=
[216]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , pages=

Generating Fact Checking Explanations , author=. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , pages=
[217]

Transactions of the Association for Computational Linguistics , volume=

Leveraging pre-trained checkpoints for sequence generation tasks , author=. Transactions of the Association for Computational Linguistics , volume=. 2020 , publisher=

2020
[218]

Proceedings of the ACM Web Conference 2023 , pages=

Reinforcement learning-based counter-misinformation response generation: a case study of COVID-19 vaccine misinformation , author=. Proceedings of the ACM Web Conference 2023 , pages=

2023
[219]

This is Fake News

" This is Fake News": Characterizing the Spontaneous Debunking from Twitter Users to COVID-19 False Information , author=. Proceedings of the International AAAI Conference on Web and Social Media , volume=
[220]

Health communication , volume=

See something, say something: Correction of global health misinformation on social media , author=. Health communication , volume=. 2018 , publisher=

2018
[221]

Proceedings of the 15th ACM Web Science Conference 2023 , pages=

Characterizing and Predicting Social Correction on Twitter , author=. Proceedings of the 15th ACM Web Science Conference 2023 , pages=

2023
[222]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

SaFeRDialogues: Taking Feedback Gracefully after Conversational Safety Failures , author=. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=
[223]

Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 , pages=

Counter-argument generation by attacking weak premises , author=. Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 , pages=

2021
[224]

Sentence-Level Content Planning and Style Specification for Neural Text Generation , author=. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) , pages=

2019
[225]

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics , pages=

Conclusion-based Counter-Argument Generation , author=. Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics , pages=
[226]

Chakravarthi, Bharathi Raja , booktitle=. Hope
[227]

The Woman Worked as a Babysitter: On Biases in Language Generation , author=. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) , pages=

2019
[228]

Proceedings of the 57th annual meeting of the association for computational linguistics , pages=

The risk of racial bias in hate speech detection , author=. Proceedings of the 57th annual meeting of the association for computational linguistics , pages=
[229]

PloS one , volume=

Hate speech detection: Challenges and solutions , author=. PloS one , volume=. 2019 , publisher=

2019
[230]

arXiv preprint arXiv:1503.03909 , year=

Detection of cyberbullying incidents on the instagram social network , author=. arXiv preprint arXiv:1503.03909 , year=

arXiv
[231]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings , pages=

RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models , author=. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings , pages=

2020
[232]

arXiv preprint arXiv:1910.00292 , year=

Generalization in generation: A closer look at exposure bias , author=. arXiv preprint arXiv:1910.00292 , year=

1910
[233]

Cyberpsychology, Behavior, and Social Networking , volume=

Combating weight-based cyberbullying on Facebook with the dissenter effect , author=. Cyberpsychology, Behavior, and Social Networking , volume=. 2014 , publisher=

2014
[234]

Children and Youth Services Review , volume=

Cyber-bystanding in context: A review of the literature on witnesses' responses to cyberbullying , author=. Children and Youth Services Review , volume=. 2016 , publisher=

2016
[235]

arXiv preprint arXiv:1705.04304 , year=

A deep reinforced model for abstractive summarization , author=. arXiv preprint arXiv:1705.04304 , year=

arXiv
[236]

and Zipser, David , journal=

Williams, Ronald J. and Zipser, David , journal=. A Learning Algorithm for Continually Running Fully Recurrent Neural Networks , year=
[237]

Overfitting

Webb, Geoffrey I. Overfitting. Encyclopedia of Machine Learning. 2010. doi:10.1007/978-0-387-30164-8_623

2010 doi
[238]

A Comparative Evaluation Methodology for

Hastie, Helen F and Belz, Anja , booktitle=. A Comparative Evaluation Methodology for
[239]

Text summarization branches out , pages=

Rouge: A package for automatic evaluation of summaries , author=. Text summarization branches out , pages=
[240]

arXiv preprint arXiv:2304.14767 , year=

Dissecting recall of factual associations in auto-regressive language models , author=. arXiv preprint arXiv:2304.14767 , year=
[241]

Advances in Neural Information Processing Systems , editor=

A Contrastive Framework for Neural Text Generation , author=. Advances in Neural Information Processing Systems , editor=. 2022 , url=

2022
[242]

Advances in Neural Information Processing Systems , volume=

Training language models to follow instructions with human feedback , author=. Advances in Neural Information Processing Systems , volume=
[243]

Advances in Neural Information Processing Systems , volume=

How should pre-trained language models be fine-tuned towards adversarial robustness? , author=. Advances in Neural Information Processing Systems , volume=
[244]

International Conference on Learning Representations , year=

Better Fine-Tuning by Reducing Representational Collapse , author=. International Conference on Learning Representations , year=
[245]

Proceedings of the 15th European Workshop on Natural Language Generation (ENLG) , pages=

A snapshot of NLG evaluation practices 2005-2014 , author=. Proceedings of the 15th European Workshop on Natural Language Generation (ENLG) , pages=

2005
[246]

2017 Conference on Empirical Methods in Natural Language Processing , pages=

Why We Need New Evaluation Metrics for NLG , author=. 2017 Conference on Empirical Methods in Natural Language Processing , pages=. 2017 , organization=

2017
[247]

Comparing automatic and human evaluation of

Belz, Anja and Reiter, Ehud , booktitle=. Comparing automatic and human evaluation of
[248]

arXiv preprint arXiv:2005.05402 , year=

Mart: Memory-augmented recurrent transformer for coherent video paragraph captioning , author=. arXiv preprint arXiv:2005.05402 , year=

2005
[249]

arXiv preprint arXiv:2004.14530 , year=

Stay hungry, stay focused: Generating informative and specific questions in information-seeking conversations , author=. arXiv preprint arXiv:2004.14530 , year=

2004
[250]

Consistency of a Recurrent Language Model With Respect to Incomplete Decoding

Welleck, Sean and Kulikov, Ilia and Kim, Jaedeok and Pang, Richard Yuanzhe and Cho, Kyunghyun. Consistency of a Recurrent Language Model With Respect to Incomplete Decoding. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2020. d...

2020 doi
[251]

Findings of the Association for Computational Linguistics: ACL 2022 , pages=

Using Pre-Trained Language Models for Producing Counter Narratives Against Hate Speech: a Comparative Study , author=. Findings of the Association for Computational Linguistics: ACL 2022 , pages=

2022
[252]

Human-in-the-Loop for Data Collection: a Multi-Target Counter Narrative Dataset to Fight Online Hate Speech , author=. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Proces...
[253]

Liu , title =

Colin Raffel and Noam Shazeer and Adam Roberts and Katherine Lee and Sharan Narang and Michael Matena and Yanqi Zhou and Wei Li and Peter J. Liu , title =. Journal of Machine Learning Research , year =
[254]

BART : Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Lewis, Mike and Liu, Yinhan and Goyal, Naman and Ghazvininejad, Marjan and Mohamed, Abdelrahman and Levy, Omer and Stoyanov, Veselin and Zettlemoyer, Luke. BART : Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension. Proce...

2020
[255]

arXiv preprint arXiv:2102.04130 , year=

How True is GPT-2? An Empirical Analysis of Intersectional Occupational Biases , author=. arXiv preprint arXiv:2102.04130 , year=
[256]

arXiv preprint arXiv:1910.08684 , year=

Sticking to the facts: Confident decoding for faithful data-to-text generation , author=. arXiv preprint arXiv:1910.08684 , year=

1910
[257]

Demarginalizing the intersection of race and sex: A black feminist critique of antidiscrimination doctrine, feminist theory and antiracist politics , author=. u. Chi. Legal f. , pages=. 1989 , publisher=

1989
[258]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing , pages=

Human-Machine Collaboration Approaches to Build a Dialogue Dataset for Hate Speech Countering , author=. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing , pages=

2022
[259]

arXiv preprint arXiv:2004.14253 , year=

Geppetto carves italian into a language model , author=. arXiv preprint arXiv:2004.14253 , year=

2004
[260]

Proceedings of the Seventh Italian Conference on Computational Linguistics CLiC-it , year=

Italian Counter Narrative Generation to Fight Online Hate Speech , author=. Proceedings of the Seventh Italian Conference on Computational Linguistics CLiC-it , year=
[261]

How to successfully recycle English GPT-2 to make models for other languages , author=

As good as new. How to successfully recycle English GPT-2 to make models for other languages , author=. arXiv preprint arXiv:2012.05628 , year=

2012
[262]

Computational Linguistics , volume=

A survey of answer extraction techniques in factoid question answering , author=. Computational Linguistics , volume=
[263]

Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics: HLT-NAACL 2004 , pages=

Automatic question answering: Beyond the factoid , author=. Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics: HLT-NAACL 2004 , pages=

2004
[264]

Soviet physics doklady , volume=

Binary codes capable of correcting deletions, insertions, and reversals , author=. Soviet physics doklady , volume=. 1966 , organization=

1966
[265]

Distribution de la flore alpine dans le bassin des Dranses et dans quelques r

Jaccard, Paul , journal=. Distribution de la flore alpine dans le bassin des Dranses et dans quelques r
[266]

arXiv preprint arXiv:1906.11313 , year=

Determining relative argument specificity and stance for complex argumentative structures , author=. arXiv preprint arXiv:1906.11313 , year=

1906
[267]

arXiv preprint arXiv:2010.03369 , year=

Toward Stance-based Personas for Opinionated Dialogues , author=. arXiv preprint arXiv:2010.03369 , year=

2010
[268]

United Nations Strategy and Plan of Action of Hate Speech , Author =
[269]

arXiv preprint arXiv:2005.14165 , year=

Language models are few-shot learners , author=. arXiv preprint arXiv:2005.14165 , year=

2005 arXiv
[270]

Transactions of the Association for Computational Linguistics , volume=

Enriching word vectors with subword information , author=. Transactions of the Association for Computational Linguistics , volume=. 2017 , publisher=

2017
[271]

arXiv preprint arXiv:1301.3781 , year=

Efficient estimation of word representations in vector space , author=. arXiv preprint arXiv:1301.3781 , year=

arXiv
[272]

BERT has a Mouth, and It Must Speak: BERT as a M arkov Random Field Language Model

Wang, Alex and Cho, Kyunghyun. BERT has a Mouth, and It Must Speak: BERT as a M arkov Random Field Language Model. Proceedings of the Workshop on Methods for Optimizing and Evaluating Neural Language Generation. 2019. doi:10.18653/v1/W19-2304

2019 doi
[273]

DIALOGPT : Large-Scale Generative Pre-training for Conversational Response Generation

Zhang, Yizhe and Sun, Siqi and Galley, Michel and Chen, Yen-Chun and Brockett, Chris and Gao, Xiang and Gao, Jianfeng and Liu, Jingjing and Dolan, Bill. DIALOGPT : Large-Scale Generative Pre-training for Conversational Response Generation. Proceedings of the 58th Annual Meetin...

2020
[274]

arXiv preprint arXiv:2004.14911 , year=

Recipes for Adapting Pre-trained Monolingual and Multilingual Models to Machine Translation , author=. arXiv preprint arXiv:2004.14911 , year=

2004
[275]

arXiv preprint arXiv:2002.06823 , year=

Incorporating bert into neural machine translation , author=. arXiv preprint arXiv:2002.06823 , year=

2002
[276]

Transactions of the Association for Computational Linguistics , volume=

Multilingual denoising pre-training for neural machine translation , author=. Transactions of the Association for Computational Linguistics , volume=. 2020 , publisher=

2020
[277]

Proceedings of the thirteenth international conference on artificial intelligence and statistics , pages=

Why does unsupervised pre-training help deep learning? , author=. Proceedings of the thirteenth international conference on artificial intelligence and statistics , pages=. 2010 , organization=

2010
[278]

2019 , publisher=

Hatred behind the screens: A report on the rise of online hate speech , author=. 2019 , publisher=

2019
[279]

Improving language understanding by generative pre-training , author=
[280]

S. J. IEEE Transactions on Knowledge and Data Engineering , title=. 2010 , volume=

2010
[281]

Journal of Artificial Intelligence Research , volume=

Confronting abusive language online: A survey from the ethical and human rights perspective , author=. Journal of Artificial Intelligence Research , volume=
[282]

Proceedings of the third workshop on abusive language online , pages=

Challenges and frontiers in abusive content detection , author=. Proceedings of the third workshop on abusive language online , pages=
[283]

Language Resources and Evaluation , pages=

Resources and benchmark corpora for hate speech detection: a systematic review , author=. Language Resources and Evaluation , pages=. 2020 , publisher=

2020
[284]

Plos one , volume=

Directions in abusive language training data, a systematic review: Garbage in, garbage out , author=. Plos one , volume=. 2020 , publisher=

2020
[285]

arXiv preprint arXiv:2012.10289 , year=

HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection , author=. arXiv preprint arXiv:2012.10289 , year=

2012
[286]

Proceedings of association for machine translation in the Americas , volume=

A study of translation edit rate with targeted human annotation , author=. Proceedings of association for machine translation in the Americas , volume=. 2006 , organization=

2006
[287]

Cyberpsychology & behavior , volume=

The online disinhibition effect , author=. Cyberpsychology & behavior , volume=. 2004 , publisher=

2004
[288]

Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack , author=. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) , pages=

2019
[289]

arXiv preprint arXiv:2012.15761 , year=

Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection , author=. arXiv preprint arXiv:2012.15761 , year=

2012
[290]

arXiv preprint arXiv:2003.02245 , year=

Data Augmentation using Pre-trained Transformer Models , author=. arXiv preprint arXiv:2003.02245 , year=

2003
[291]

Advances in Neural Information Processing Systems , pages=

Defending against neural fake news , author=. Advances in Neural Information Processing Systems , pages=. 2019 , url=

2019
[292]

Release Strategies and the Social Impacts of Language Models , journal =

Irene Solaiman and Miles Brundage and Jack Clark and Amanda Askell and Ariel Herbert. Release Strategies and the Social Impacts of Language Models , journal =. 2019 , url =

2019
[293]

Transactions of the Association for Computational Linguistics , volume =

Eric Wallace and Pedro Rodriguez and Shi Feng and Ikuya Yamada and Jordan Boyd-Graber , title =. Transactions of the Association for Computational Linguistics , volume =. 2019 , keywords =

2019
[294]

Proceedings of the Eighth Workshop on Statistical Machine Translation , pages=

Coping with the subjectivity of human judgements in MT quality estimation , author=. Proceedings of the Eighth Workshop on Statistical Machine Translation , pages=
[295]

Proceedings of the Second Joint EM+/CNGL Workshop Bringing MT to the User: Research on Integrating MT in the Translation Industry (JEC 10) , pages=

Estimating machine translation post-editing effort with HTER , author=. Proceedings of the Second Joint EM+/CNGL Workshop Bringing MT to the User: Research on Integrating MT in the Translation Industry (JEC 10) , pages=
[296]

A Just and Comprehensive Strategy for Using

Jurgens, David and Hemphill, Libby and Chandrasekharan, Eshwar , booktitle=. A Just and Comprehensive Strategy for Using
[297]

, author=

SentiGAN: Generating Sentimental Texts via Mixture Adversarial Networks. , author=. IJCAI , pages=
[298]

Proceedings of the First Workshop on NLP for Conversational AI , pages=

Augmenting Neural Response Generation with Context-Aware Topical Attention , author=. Proceedings of the First Workshop on NLP for Conversational AI , pages=
[299]

Journal of child language , volume=

Type/token ratios: What do they really tell us? , author=. Journal of child language , volume=. 1987 , publisher=

1987
[300]

Ohchr expert workshops on the prohibition of incitement to national, racial or religious hatred

Bielefeldt, Heiner and La Rue, Frank and Muigai, Githu. Ohchr expert workshops on the prohibition of incitement to national, racial or religious hatred. Expert workshop on the Americas. 2011

2011

Pith tools

Reviewed June 26, 2026 · model on record in the stance chip above.

[1] [1]

Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists

Attanasio, Giuseppe and Nozza, Debora and Hovy, Dirk and Baralis, Elena. Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists. Findings of the Association for Computational Linguistics: ACL 2022. 2022. doi:10.18653/v1/2022.findings-acl.88

work page doi:10.18653/v1/2022.findings-acl.88 2022

[2] [2]

2022 , month =

Simone Fontana , title =. 2022 , month =

2022

[3] [3]

2022 , month =

The Associated Press , title =. 2022 , month =

2022

[4] [4]

Proceedings of the First Workshop on Multilingual Counterspeech Generation , pages=

Trenteam at multilingual counterspeech generation: Multilingual passage re-ranking approaches for knowledge-driven counterspeech generation against hate , author=. Proceedings of the First Workshop on Multilingual Counterspeech Generation , pages=

[5] [5]

2026 , eprint=

Assisted Counterspeech Writing at the Crossroads of Hate Speech and Misinformation , author=. 2026 , eprint=

2026

[6] [6]

Proceedings of the 58th annual meeting of the association for computational linguistics , pages=

Unsupervised cross-lingual representation learning at scale , author=. Proceedings of the 58th annual meeting of the association for computational linguistics , pages=

[7] [7]

Proceedings of the 18th conference of the european chapter of the association for computational linguistics: system demonstrations , pages=

Ragas: Automated evaluation of retrieval augmented generation , author=. Proceedings of the 18th conference of the european chapter of the association for computational linguistics: system demonstrations , pages=

[8] [8]

Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models , author=. arXiv preprint arXiv:2506.05176 , year=

work page Pith review arXiv