Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data | Paper Citation Record

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This paper cites International Journal of Data Science and Analytics 13, 335–362 (2022) https://doi.org/10.1007/s41060-021-00302-z.

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data International Journal of Data Science and Analytics 13, 335–362 (2022) https://doi.org/10.1007/s41060-021-00302-z

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This paper cites Knowledge- Based Systems 294, 111715 (2024).

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data Knowledge- Based Systems 294, 111715 (2024)

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This paper cites Nature (2024).

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data Nature (2024)

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This paper cites ACM Transactions on Intelligent Systems and Technology (TIST) 10(3), 1–42 (2019).

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data ACM Transactions on Intelligent Systems and Technology (TIST) 10(3), 1–42 (2019)

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This paper cites Multimedia Tools and Appli- cations 80(8), 11765–11788 (2021) https://doi.org/10.1007/s11042-020-10183-2.

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data Multimedia Tools and Appli- cations 80(8), 11765–11788 (2021) https://doi.org/10.1007/s11042-020-10183-2

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This paper cites Big data 8(3), 171–188 (2020).

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data Big data 8(3), 171–188 (2020)

Reference 7

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This paper cites In: Rogers, A., Boyd-Graber, J., Okazaki, N.

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data In: Rogers, A., Boyd-Graber, J., Okazaki, N

Reference 8

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This paper cites A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity.

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity

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This paper cites "Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection.

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data "Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection

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This paper cites In: Webber, B., Cohn, T., He, Y., Liu, Y.

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data In: Webber, B., Cohn, T., He, Y., Liu, Y

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This paper cites In: Proceedings of the International AAAI Conference on Web and Social Media, vol.

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data In: Proceedings of the International AAAI Conference on Web and Social Media, vol

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This paper cites r/Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detection.

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data r/Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detection

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Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data MM-COVID: A Multilingual and Multimodal Data Repository for Combating COVID-19 Disinformation

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This paper cites In: Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP, pp.

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data In: Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP, pp

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This paper cites ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks.

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks

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This paper cites Large Language Models for Data Annotation and Synthesis: A Survey.

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data Large Language Models for Data Annotation and Synthesis: A Survey

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Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators

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Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data Mistral 7B

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Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data https://openai.com/

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This paper cites International Journal of Multimedia Information Retrieval 12(2), 28 (2023).

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data International Journal of Multimedia Information Retrieval 12(2), 28 (2023)

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This paper cites In: Douligeris, C., Karagian- nis, D., Apostolou, D.

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data In: Douligeris, C., Karagian- nis, D., Apostolou, D

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This paper cites In: 2022 Interna- tional Conference on Informatics Electrical and Electronics (ICIEE), pp.

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data In: 2022 Interna- tional Conference on Informatics Electrical and Electronics (ICIEE), pp

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This paper cites ACM Computing Surveys 53 (2020) https://doi.

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data ACM Computing Surveys 53 (2020) https://doi

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Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data Journal of economic perspectives 31(2), 211–236 (2017)

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Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data In: Goyal, D., Kumar, A., Piuri, V., Paprzycki, M

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Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data In: 2022 13th International Conference on Computing Communication and Net- working Technologies (ICCCNT), pp

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Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data In: H¨ urriyeto˘ glu, A

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This paper cites Scientific reports11(1), 23705 (2021).

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data Scientific reports11(1), 23705 (2021)

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This paper cites In: 2019 IEEE International Conference on Big Data (big Data), pp.

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data In: 2019 IEEE International Conference on Big Data (big Data), pp

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Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data In: 2019 IEEE International Conference on Data Mining (ICDM), pp

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This paper cites Heliyon9(10) (2023) https://doi.org/10.1016/j.heliyon.2023.e20382.

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data Heliyon9(10) (2023) https://doi.org/10.1016/j.heliyon.2023.e20382

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Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data Expert Systems with Applications 158, 113503 (2020)

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Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data Unresolved cited work

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Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data Electronics 10 (2021) https://doi.org/10.3390/ electronics10111348

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Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data Multimedia Tools and Applications 82 (2022) https://doi.org/10.1007/s11042-022-12668-8

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This paper cites Complex & Intelligent Systems 9 (2023) https://doi.org/ 10.1007/s40747-023-01098-0.

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data Complex & Intelligent Systems 9 (2023) https://doi.org/ 10.1007/s40747-023-01098-0

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Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data Information Systems Frontiers26(2), 443–458 (2024)

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Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data IEEE Access 9, 162122–162146 (2021)

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Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data Mathematics 10(4), 569 (2022)

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Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data In: CEUR Workshop Proc, vol

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Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data Mathematics 11(3), 508 (2023)

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This paper cites In: 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), pp.

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data In: 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), pp

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Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data harmful speech

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Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data Information Processing & Management 58(1), 102390 (2021)

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Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data Systems 11(9), 458 (2023)

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Observation ead7a60b-8fa1-46bc-a52c-a961e9ee9b1f · outbound

This paper cites Applied Soft Computing 139, 110235 (2023).

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data Applied Soft Computing 139, 110235 (2023)

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:26:43.295327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 24afa37f-45e0-4a93-bf75-aea8610a0b3c · outbound

This paper cites IEEE Access 11, 125861–125873 (2023).

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data IEEE Access 11, 125861–125873 (2023)

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:26:43.280621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 397d34bc-3128-4998-ab70-0039204c6a31 · outbound

This paper cites CONTAIN: A Community-based Algorithm for Network Immunization.

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data CONTAIN: A Community-based Algorithm for Network Immunization

Reference 52

Resolution: metadata mismatch; local_arxiv, observed 2026-08-11T12:26:42.688296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 54976de4-acf0-468f-9d3e-62c51a28b5cc · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineering (2024).

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data IEEE Transactions on Knowledge and Data Engineering (2024)

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:26:43.265665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 26743297-4597-4502-877f-f5c7ca596ea4 · outbound

This paper cites International Journal of Data Science and Analytics 13(4), 335–362 (2022).

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data International Journal of Data Science and Analytics 13(4), 335–362 (2022)

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:26:43.250871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 346d5bb4-d325-4a61-9fdd-249509982e37 · outbound

This paper cites Social Network Analysis and Mining 13(1), 30 (2023) https://doi.org/10.1007/s13278-023-01028-5.

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data Social Network Analysis and Mining 13(1), 30 (2023) https://doi.org/10.1007/s13278-023-01028-5

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-11T12:26:42.095603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 114d7c8d-f800-4323-a319-f8bf85f16083 · outbound

This paper cites A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity.

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-11T12:26:42.100327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 737fe538-fb8b-42f9-a300-61c56c2a6943 · outbound

This paper cites The PS-Battles Dataset - an Image Collection for Image Manipulation Detection.

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data The PS-Battles Dataset - an Image Collection for Image Manipulation Detection

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-11T12:26:42.105164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e013f6f4-5146-4c16-bed8-31d77710a224 · outbound

This paper cites In: 2023 International Conference on Data Security and Privacy Protection (DSPP), pp.

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data In: 2023 International Conference on Data Security and Privacy Protection (DSPP), pp

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:26:43.235679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c750a9a1-2513-4eb8-88e5-3ac51a0f3014 · outbound

This paper cites IEEE Transactions on Computational Social Systems 8(4), 881–893 (2021).

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data IEEE Transactions on Computational Social Systems 8(4), 881–893 (2021)

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:26:43.217973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c3f6d272-f64d-4f06-b1d7-d9c84566b816 · outbound

This paper cites Frontiers in Communication 6, 661801 (2021).

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data Frontiers in Communication 6, 661801 (2021)

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:26:43.200683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 01378402-ff94-4c4c-8739-519ffdf5e2ba · outbound

This paper cites In: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp.

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data In: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:26:43.185550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 84e6313d-e978-4ba7-87d3-7fdf2f0f3600 · outbound

This paper cites Combating Misinformation in the Age of LLMs: Opportunities and Challenges.

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data Combating Misinformation in the Age of LLMs: Opportunities and Challenges

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-11T12:26:42.128602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2f9ad78-917e-4d26-8107-8ef8017ee4d4 · outbound

This paper cites A Comparative Study of Offline Models and Online LLMs in Fake News Detection.

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data A Comparative Study of Offline Models and Online LLMs in Fake News Detection

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-11T12:26:42.133625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ef898aa-a50f-48ad-ab61-ddd268994181 · outbound

This paper cites In: 2023 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), pp.

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data In: 2023 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), pp

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:26:43.170094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b5b49dfb-7968-48db-875b-7fc41fbd698a · outbound

This paper cites LEMMA: Towards LVLM-Enhanced Multimodal Misinformation Detection with External Knowledge Augmentation.

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data LEMMA: Towards LVLM-Enhanced Multimodal Misinformation Detection with External Knowledge Augmentation

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-11T12:26:42.143199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eaca524f-1400-4e04-9ee9-866d28576b30 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:26:43.155224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 35510c5d-6e68-4dfc-ba37-0330eda4a7f5 · outbound

This paper cites Scientific Reports 13(1), 8591 (2023).

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data Scientific Reports 13(1), 8591 (2023)

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:26:43.139987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c945f417-4f85-4a84-a81a-6f495ab09356 · outbound

This paper cites Science 363(6425), 374–378 (2019).

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data Science 363(6425), 374–378 (2019)

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-11T12:26:42.158422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 512df24c-e24e-4b8b-bd5d-04e4e9b4b307 · outbound

This paper cites Knowledge-Based Systems 274, 110642 (2023) https: //doi.org/10.1016/j.knosys.2023.110642.

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data Knowledge-Based Systems 274, 110642 (2023) https: //doi.org/10.1016/j.knosys.2023.110642

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-11T12:26:42.163107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c29feef3-ad71-49d4-9cef-33fca48d9e77 · outbound

This paper cites MEGAnno+: A Human-LLM Collaborative Annotation System.

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data MEGAnno+: A Human-LLM Collaborative Annotation System

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-11T12:26:42.167797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74397fc7-1ca6-4a23-baef-7a69fad1f9cd · outbound

This paper cites AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotators.

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotators

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-11T12:26:42.172670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2712624-9be4-43cf-8d21-fbf7e5d3c50c · outbound

This paper cites Addison-Wesley Professional, ??? (2023).

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data Addison-Wesley Professional, ??? (2023)

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:26:43.114793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 757c467c-88b4-4cbc-a7d7-1f3fa0880d20 · outbound

This paper cites https://openai.com/index/gpt-4/.

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data https://openai.com/index/gpt-4/

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:26:43.099308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 43d068bd-c41e-4f69-aaaa-a88c3467b54b · outbound

This paper cites A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT.

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-11T12:26:42.187481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca319c73-4dc2-40ae-b086-4315dbc35572 · outbound

This paper cites Nature Machine Intelligence 5(3), 220–235 (2023).

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data Nature Machine Intelligence 5(3), 220–235 (2023)

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:26:43.083995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3712c303-b66c-48c4-86ad-3f08a474fbe6 · outbound

This paper cites Advances in Neural Information Processing Systems 36 (2024).

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data Advances in Neural Information Processing Systems 36 (2024)

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-11T12:26:42.197482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6ac694d-870d-4cb6-85c2-b560c9e240d3 · outbound

This paper cites an unresolved cited work.

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data Unresolved cited work

Reference 77

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:26:43.058838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 10f3d50b-588e-4337-8c29-a29ba9401793 · outbound

This paper cites an unresolved cited work.

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data Unresolved cited work

Reference 78

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:26:43.043546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 531b234b-5e34-4ef9-a1b3-3e4c9470775f · outbound

This paper cites Journal of artificial intelligence research 16, 321–357 (2002).

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data Journal of artificial intelligence research 16, 321–357 (2002)

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-11T12:26:42.211601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bac65861-b0c3-431d-ab52-bce700a56f3b · outbound

This paper cites A Survey on Evaluation of Large Language Models.

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data A Survey on Evaluation of Large Language Models

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-11T12:26:42.216276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e3fde82-4600-4116-8a37-93a3e4a627ba · outbound

This paper cites Expert Systems with Applications 237, 121542 (2024).

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data Expert Systems with Applications 237, 121542 (2024)

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:26:43.018074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bab567c5-1a34-47c0-98cb-f222c1f017aa · outbound

This paper cites In: Sil, A., Lin, X.V.

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data In: Sil, A., Lin, X.V

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-11T12:26:42.226105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad87eabe-941e-4b88-9194-2cb0bb968a11 · outbound

This paper cites an unresolved cited work.

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data Unresolved cited work

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-11T12:26:42.231082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5697eb25-600d-4ac1-9c9a-b32373af8d7b · outbound

This paper cites In: Proceedings of The 18th Linguistic Annotation Workshop (LA W-XVIII), pp.

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data In: Proceedings of The 18th Linguistic Annotation Workshop (LA W-XVIII), pp

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:26:42.992974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers