Fake News & Misinformation Research
Selected publications on fake news detection, misinformation, and news credibility. Each entry links to a PDF (or DOI) and an expandable BibTeX citation.
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Is Less Really More? Fake News Detection with Limited Information
JournalACM SIGKDD Explorations Newsletter, 27(1), July 2025, pp. 20–31
DOIBibTeX
@article{cao2025less, author = {Cao, Zhaoyang and Nguyen, John and Zafarani, Reza}, title = {Is Less Really More? Fake News Detection with Limited Information}, journal = {ACM SIGKDD Explorations Newsletter}, volume = {27}, number = {1}, pages = {20--31}, year = {2025}, doi = {10.1145/3748239.3748243} } -
Unmasking AI-Generated Fake News Across Multiple Domains
PreprintPreprints, May 2024
DOIBibTeX
@article{nanabala2024unmasking, author = {Nanabala, Chiradeep and Mohan, Chilukuri K. and Zafarani, Reza}, title = {Unmasking AI-Generated Fake News Across Multiple Domains}, year = {2024}, note = {Preprints}, doi = {10.20944/preprints202405.0686.v1} } -
Linguistic-style-aware Neural Networks for Fake News Detection
PreprintarXiv:2301.02792
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“This is Fake! Shared it by Mistake”: Assessing the Intent of Fake News Spreaders
ConferenceProceedings of the ACM Web Conference 2022 (WWW ’22)
PDF
arXivBibTeX
@inproceedings{zhou2022intent, author = {Zhou, Xinyi and Shu, Kai and Phoha, Vir V. and Liu, Huan and Zafarani, Reza}, title = {{This is Fake! Shared it by Mistake}: Assessing the Intent of Fake News Spreaders}, booktitle = {Proceedings of the ACM Web Conference 2022 (WWW '22)}, year = {2022} } -
From Fake News to #FakeNews: Mining Direct and Indirect Relationships among Hashtags for Fake News Detection
PreprintarXiv:2211.11113
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CHECKED: Chinese COVID-19 Fake News Dataset
JournalSocial Network Analysis and Mining (SNAM), 2021
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SAFE: Similarity-Aware Multi-Modal Fake News Detection
ConferenceAdvances in Knowledge Discovery and Data Mining (PAKDD 2020), Springer, pp. 354–367
PDF
DOIBibTeX
@inproceedings{zhou2020safe, author = {Zhou, Xinyi and Wu, Jindi and Zafarani, Reza}, title = {SAFE: Similarity-Aware Multi-Modal Fake News Detection}, booktitle = {Advances in Knowledge Discovery and Data Mining (PAKDD 2020)}, series = {Lecture Notes in Computer Science}, publisher = {Springer}, pages = {354--367}, year = {2020}, doi = {10.1007/978-3-030-47436-2_27} } -
Fake News Early Detection: A Theory-driven Model
JournalACM Transactions on Digital Threats: Research and Practice (DTRAP), 2020
PDF
DOIBibTeX
@article{zhou2020early, author = {Zhou, Xinyi and Jain, Atishay and Phoha, Vir V. and Zafarani, Reza}, title = {Fake News Early Detection: A Theory-driven Model}, journal = {Digital Threats: Research and Practice}, volume = {1}, number = {2}, year = {2020}, publisher = {Association for Computing Machinery}, doi = {10.1145/3377478} } -
A Survey of Fake News: Fundamental Theories, Detection Methods, and Opportunities
JournalACM Computing Surveys (CSUR), 53(5), Article 109, Sep. 2020, 40 pages
PDF
DOIBibTeX
@article{zhou2020survey, author = {Zhou, Xinyi and Zafarani, Reza}, title = {A Survey of Fake News: Fundamental Theories, Detection Methods, and Opportunities}, journal = {ACM Computing Surveys}, volume = {53}, number = {5}, articleno = {109}, numpages = {40}, year = {2020}, doi = {10.1145/3395046} } -
ReCOVery: A Multimodal Repository for COVID-19 News Credibility Research
Conference29th ACM Int’l Conf. on Information & Knowledge Management (CIKM 2020), pp. 3205–3212
PDF
DOIBibTeX
@inproceedings{zhou2020recovery, author = {Zhou, Xinyi and Mulay, Apurva and Ferrara, Emilio and Zafarani, Reza}, title = {ReCOVery: A Multimodal Repository for COVID-19 News Credibility Research}, booktitle = {Proceedings of the 29th ACM International Conference on Information \& Knowledge Management (CIKM '20)}, pages = {3205--3212}, year = {2020}, doi = {10.1145/3340531.3412880} } -
Credibility-based Fake News Detection
Book ChapterDisinformation, Misinformation and Fake News in Social Media (eds. K. Shu, S. Wang, D. Lee, H. Liu), Springer, 2020
PDF
arXivBibTeX
@incollection{sitaula2020credibility, author = {Sitaula, Niraj and Mohan, Chilukuri K. and Grygiel, Jennifer and Zhou, Xinyi and Zafarani, Reza}, title = {Credibility-based Fake News Detection}, booktitle = {Disinformation, Misinformation, and Fake News in Social Media}, editor = {Shu, Kai and Wang, Suhang and Lee, Dongwon and Liu, Huan}, publisher = {Springer}, year = {2020} } -
Network-based Fake News Detection: A Pattern-driven Approach
JournalACM SIGKDD Explorations Newsletter, 21(2), Dec. 2019, pp. 48–60
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The Role of User Profiles for Fake News Detection
ConferenceIEEE/ACM Int’l Conf. on Advances in Social Networks Analysis and Mining (ASONAM 2019), pp. 436–439
PDF
DOIBibTeX
@inproceedings{shu2019role, author = {Shu, Kai and Zhou, Xinyi and Wang, Suhang and Zafarani, Reza and Liu, Huan}, title = {The Role of User Profiles for Fake News Detection}, booktitle = {Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM '19)}, pages = {436--439}, year = {2019}, doi = {10.1145/3341161.3342927} } -
Fake News Detection: An Interdisciplinary Research
ConferenceCompanion Proceedings of The 2019 World Wide Web Conference (WWW ’19)
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Fake News: Fundamental Theories, Detection Strategies and Challenges
TutorialTwelfth ACM Int’l Conf. on Web Search and Data Mining (WSDM 2019), pp. 836–837
PDF
Slides
DOIBibTeX
@inproceedings{zhou2019wsdm, author = {Zhou, Xinyi and Zafarani, Reza and Shu, Kai and Liu, Huan}, title = {Fake News: Fundamental Theories, Detection Strategies and Challenges}, booktitle = {Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining (WSDM '19)}, pages = {836--837}, year = {2019}, doi = {10.1145/3289600.3291382} } -
Fake News Research: Theories, Detection Strategies, and Open Problems
Tutorial25th ACM SIGKDD Int’l Conf. on Knowledge Discovery & Data Mining (KDD 2019), pp. 3207–3208
PDF
Slides
DOIBibTeX
@inproceedings{zafarani2019fake, author = {Zafarani, Reza and Zhou, Xinyi and Shu, Kai and Liu, Huan}, title = {Fake News Research: Theories, Detection Strategies, and Open Problems}, booktitle = {Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery \& Data Mining (KDD '19)}, pages = {3207--3208}, year = {2019}, doi = {10.1145/3292500.3332287} }
