Paper Citation Record · LEDGER

Can NLP Tackle Hate Speech in the Real World? Stakeholder-Informed Feedback and Survey on Counterspeech

As of 7 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 1 inbound Pith citation observation for arXiv:2508.04638.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2508.04638 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:55:12.152499Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-24T01:13:56.198861Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-24T01:15:54.366258Z

Reference resolution

13 of 13 outbound references displayed

verified exact0
verified fuzzy6
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation af367d04-4e3d-4b28-85dd-84c5e88447b4 · outbound

This paper cites In Proceed- ings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 5792–5809, Toronto, Canada.

Can NLP Tackle Hate Speech in the Real World? Stakeholder-Informed Feedback and Survey on Counterspeech In Proceed- ings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 5792–5809, Toronto, Canada

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:55:12.303306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 68887c3e-2718-43e1-ab08-b464ca256313 · outbound

This paper cites CSEval: Towards Automated, Multi-Dimensional, and Reference-Free Counterspeech Evaluation using Auto-Calibrated LLMs.

Can NLP Tackle Hate Speech in the Real World? Stakeholder-Informed Feedback and Survey on Counterspeech CSEval: Towards Automated, Multi-Dimensional, and Reference-Free Counterspeech Evaluation using Auto-Calibrated LLMs

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T23:55:12.234878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9300c002-c3a5-426c-b0e9-ff9304e26dc0 · outbound

This paper cites In Proceedings of the 2022 Conference on Empiri- cal Methods in Natural Language Processing, pages 10818–10833, Abu Dhabi, United Arab Emirates.

Can NLP Tackle Hate Speech in the Real World? Stakeholder-Informed Feedback and Survey on Counterspeech In Proceedings of the 2022 Conference on Empiri- cal Methods in Natural Language Processing, pages 10818–10833, Abu Dhabi, United Arab Emirates

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:55:12.293542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 61e567ee-849c-4417-a9be-95c6a424f391 · outbound

This paper cites Korean Online Hate Speech Dataset for Multilabel Classification: How Can Social Science Improve Dataset on Hate Speech?.

Can NLP Tackle Hate Speech in the Real World? Stakeholder-Informed Feedback and Survey on Counterspeech Korean Online Hate Speech Dataset for Multilabel Classification: How Can Social Science Improve Dataset on Hate Speech?

Reference 8

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T23:55:12.221266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 10a3fda0-e143-4f12-a033-d814e84ac15c · outbound

This paper cites Analyzing the hate and counter speech accounts on Twitter.

Can NLP Tackle Hate Speech in the Real World? Stakeholder-Informed Feedback and Survey on Counterspeech Analyzing the hate and counter speech accounts on Twitter

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T23:55:12.139508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0357108e-589c-4796-a2b7-affd37759038 · outbound

This paper cites Rescuing Counterspeech: A Bridging-Based Approach to Combating Misinformation.

Can NLP Tackle Hate Speech in the Real World? Stakeholder-Informed Feedback and Survey on Counterspeech Rescuing Counterspeech: A Bridging-Based Approach to Combating Misinformation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T23:55:12.142684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 356a0926-3e65-40f6-a0b3-828e8b8aabe2 · outbound

This paper cites Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining.

Can NLP Tackle Hate Speech in the Real World? Stakeholder-Informed Feedback and Survey on Counterspeech Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:55:12.272814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f1263eb3-a4d0-4f13-954b-b6345fe92e88 · outbound

This paper cites Marcus Tomalin and Stefanie Ullmann, editors.

Can NLP Tackle Hate Speech in the Real World? Stakeholder-Informed Feedback and Survey on Counterspeech Marcus Tomalin and Stefanie Ullmann, editors

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:55:12.283032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 15ce4030-c739-42e6-9c8a-ea8b098d9946 · outbound

This paper cites CODEOFCONDUCT at Multilingual Counterspeech Generation: A Context-Aware Model for Robust Counterspeech Generation in Low-Resource Languages.

Can NLP Tackle Hate Speech in the Real World? Stakeholder-Informed Feedback and Survey on Counterspeech CODEOFCONDUCT at Multilingual Counterspeech Generation: A Context-Aware Model for Robust Counterspeech Generation in Low-Resource Languages

Reference 2019

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T23:55:12.248487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c8273a02-9425-4fca-b53b-6e0e3545e19b · outbound

This paper cites In Pro- ceedings of the Fourth Workshop on Online Abuse and Harms, pages 102–112, Online.

Can NLP Tackle Hate Speech in the Real World? Stakeholder-Informed Feedback and Survey on Counterspeech In Pro- ceedings of the Fourth Workshop on Online Abuse and Harms, pages 102–112, Online

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:55:12.312518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5f2d1f9e-b082-497d-b2f9-693ce80242c6 · outbound

This paper cites Counter Hate Speech in Social Media: A Survey.

Can NLP Tackle Hate Speech in the Real World? Stakeholder-Informed Feedback and Survey on Counterspeech Counter Hate Speech in Social Media: A Survey

Reference 2022

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T23:55:12.262236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 151f267e-2e89-4436-8f17-5636bcb24e1a · outbound

This paper cites EPJ Data Science, 12:1.

Can NLP Tackle Hate Speech in the Real World? Stakeholder-Informed Feedback and Survey on Counterspeech EPJ Data Science, 12:1

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:55:12.321769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9f52c7e5-8477-4cba-8984-c5570d50057d · outbound

This paper cites Northeastern Uni at Multilingual Counterspeech Generation: Enhancing Counter Speech Generation with LLM Alignment through Direct Preference Optimization.

Can NLP Tackle Hate Speech in the Real World? Stakeholder-Informed Feedback and Survey on Counterspeech Northeastern Uni at Multilingual Counterspeech Generation: Enhancing Counter Speech Generation with LLM Alignment through Direct Preference Optimization

Reference 2024

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T23:55:12.187414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation fcf5ed53-ef34-4b77-ad77-f317a6ce92b0 · inbound

Assessing How Hate, Counterspeech, and Toxicity Affect Hate Group Newcomers cites this paper.

Assessing How Hate, Counterspeech, and Toxicity Affect Hate Group Newcomers Can NLP Tackle Hate Speech in the Real World? Stakeholder-Informed Feedback and Survey on Counterspeech

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-24T01:15:54.369960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.