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Recent years have witnessed the proliferation of offensive content online such as fake news, propaganda, misinformation, and disinformation.
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Verifying multimedia use at MediaEval 2016
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A survey on truth discovery
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Detecting rumors from microblogs with recurrent neural networks
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Hateful symbols or hateful people? predictive features for hate speech detection on Twitter
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Multimodal detection of fake social media use through a fusion of classification and pairwise ranking systems
Taruna Agrawal, Rahul Gupta, and Shrikanth Narayanan. 2017 · 2017
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Automated hate speech detection and the problem of offensive language
Thomas Davidson, Dana Warmsley, Michael Macy, and Ingmar Weber. 2017 · 2017
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Rumor detection over varying time windows
Sejeong Kwon, Meeyoung Cha, and Kyomin Jung. 2017 · 2017
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Beyond misinformation: Understanding and coping with the “post-truth” era
Stephan Lewandowsky, Ullrich K.H. Ecker, and John Cook. 2017 · 2017
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Temporal localization of audio events for conflict monitoring in social media
Junwei Liang, Lu Jiang, and Alexander G. Hauptmann. 2017 · 2017
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Detect rumors in microblog posts using propagation structure via kernel learning
Jing Ma, Wei Gao, and Kam-Fai Wong. 2017 · 2017
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Truth of varying shades: Analyzing language in fake news and political fact-checking
Hannah Rashkin, Eunsol Choi, Jin Yea Jang, Svitlana Volkova, and Yejin Choi. 2017 · 2017
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How journalists verify user-generated content during terrorist crises. analyzing twitter communication during the brussels attacks
Adrian Rauchfleisch, Xenia Artho, Julia Metag, Senja Post, and Mike S. Schäfer. 2017 · 2017
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Fake news detection on social media: A data mining perspective
Kai Shu, Amy Sliva, Suhang Wang, Jiliang Tang, and Huan Liu. 2017 · 2017
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Rumor gauge: Predicting the veracity of rumors on Twitter
Soroush Vosoughi, Mostafa ‘Neo’ Mohsenvand, and Deb Roy. 2017 · 2017
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Understanding abuse: A typology of abusive language detection subtasks
Zeerak Waseem, Thomas Davidson, Dana Warmsley, and Ingmar Weber. 2017 · 2017
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Integrating stance detection and fact checking in a unified corpus
Ramy Baly, Mitra Mohtarami, James Glass, Lluís Màrquez, Alessandro Moschitti, and Preslav Nakov. 2018b · 2018
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Fake news and alternative facts: Information literacy in a post-truth era
Nicole A Cooke. 2018 · 2018
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Cyberbullying detection in social networks using deep learning based models; a reproducibility study
Maral Dadvar and Kai Eckert. 2018 · 2018
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A survey on automatic detection of hate speech in text
Paula Fortuna and Sérgio Nunes. 2018 · 2018
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Semi-supervised content-based detection of misinformation via tensor embeddings
Gisel Bastidas Guacho, Sara Abdali, Neil Shah, and Evangelos E. Papalexakis. 2018 · 2018
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UKP-athene: Multi-sentence textual entailment for claim verification
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The ps-battles dataset-an image collection for image manipulation detection
Silvan Heller, Luca Rossetto, and Heiko Schuldt. 2018 · 2018
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Weakly supervised learning for fake news detection on twitter
Stefan Helmstetter and Heiko Paulheim. 2018 · 2018
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Journalism, fake news & disinformation: handbook for journalism education and training
Cherilyn Ireton and Julie Posetti. 2018 · 2018
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A deep learning approach for multimodal deception detection
Gangeshwar Krishnamurthy, Navonil Majumder, Soujanya Poria, and Erik Cambria. 2018 · 2018
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False information on web and social media: A survey
Srijan Kumar and Neil Shah. 2018 · 2018
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Early detection of fake news on social media through propagation path classification with recurrent and convolutional networks
Yang Liu and Yi-fang Brook Wu. 2018 · 2018
Cited alongside, same era.
How memes are being weaponized for political propaganda
Deidre Olsen. 2018 · 2018
Cited alongside, same era.
Hierarchical CVAE for fine-grained hate speech classification
Jing Qian, Mai ElSherief, Elizabeth Belding, and William Yang Wang. 2018 · 2018
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Characterizing and detecting hateful users on Twitter
Manoel Ribeiro, Pedro Calais, Yuri Santos, Virgílio Almeida, and Wagner Meira Jr. 2018 · 2018
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The spread of low-credibility content by social bots
Chengcheng Shao, Giovanni Luca Ciampaglia, Onur Varol, Kai-Cheng Yang, Alessandro Flammini, and Filippo Menczer. 2018 · 2018
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See no evil, hear no evil: Audio-visual-textual cyberbullying detection
Exploring hate speech detection in multimodal publications
Raul Gomez, Jaume Gibert, Lluis Gomez, and Dimosthenis Karatzas. 2020 · 2020
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A picture paints a thousand lies? the effects and mechanisms of multimodal disinformation and rebuttals disseminated via social media
Michael Hameleers, Thomas E. Powell, Toni G.L.A. Van Der Meer, and Lieke Bos. 2020 · 2020
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Deep learning for misinformation detection on online social networks: a survey and new perspectives
Md Rafiqul Islam, Shaowu Liu, Xianzhi Wang, and Guandong Xu. 2020 · 2020
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Multi-modal component embedding for fake news detection
SeongKu Kang, Junyoung Hwang, and Hwanjo Yu. 2020 · 2020
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The hateful memes challenge: Detecting hate speech in multimodal memes
Douwe Kiela, Hamed Firooz, Aravind Mohan, Vedanuj Goswami, Amanpreet Singh, Pratik Ringshia, and Davide Testuggine. 2020 · 2020
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alphaXiv searches the wider corpus for related work and actual follow-ups.
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Devin Soni and Vivek K Singh. 2018 · 2018
Cited alongside, same era.
Automated fact checking: Task formulations, methods and future directions
James Thorne and Andreas Vlachos. 2018 · 2018
Cited alongside, same era.
The rise of guardians: Fact-checking URL recommendation to combat fake news
Nguyen Vo and Kyumin Lee. 2018 · 2018
Cited alongside, same era.
EANN: event adversarial neural networks for multi-modal fake news detection
Yaqing Wang, Fenglong Ma, Zhiwei Jin, Ye Yuan, Guangxu Xun, Kishlay Jha, Lu Su, and Jing Gao. 2018 · 2018
Cited alongside, same era.
TI-CNN: Convolutional neural networks for fake news detection
Yang Yang, Lei Zheng, Jiawei Zhang, Qingcai Cui, Zhoujun Li, and Philip S Yu. 2018 · 2018
Cited alongside, same era.
On the origins of memes by means of fringe web communities
Savvas Zannettou, Tristan Caulfield, Jeremy Blackburn, Emiliano De Cristofaro, Michael Sirivianos, Gianluca Stringhini, and Guillermo Suarez-Tangil. 2018 · 2018
Cited alongside, same era.
Fauxbuster: A content-free fauxtography detector using social media comments
Daniel Yue Zhang, Lanyu Shang, Biao Geng, Shuyue Lai, Ke Li, Hongmin Zhu, Md. Tanvir Al Amin, and Dong Wang. 2018 · 2018
Cited alongside, same era.
Fakeddit: A new multimodal benchmark dataset for fine-grained fake news detection
Kai Nakamura, Sharon Levy, and William Yang Wang. 2020 · 2020
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Fact-checking, fake news, propaganda, and media bias: Truth seeking in the post-truth era
Preslav Nakov and Giovanni Da San Martino. 2020 · 2020
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FANG: leveraging social context for fake news detection using graph representation
Van-Hoang Nguyen, Kazunari Sugiyama, Preslav Nakov, and Min-Yen Kan. 2020 · 2020
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Charting the landscape of online cryptocurrency manipulation
Leonardo Nizzoli, Serena Tardelli, Marco Avvenuti, Stefano Cresci, Maurizio Tesconi, and Emilio Ferrara. 2020 · 2020
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Automated fact-checking of claims from Wikipedia
Aalok Sathe, Salar Ather, Tuan Manh Le, Nathan Perry, and Joonsuk Park. 2020 · 2020
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Multimodal deception detection using real-life trial data
Umut Mehmet Sen, Veronica Perez-Rosas, Berrin Yanikoglu, Mohamed Abouelenien, Mihai Burzo, and Rada Mihalcea. 2020 · 2020
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That is a known lie: Detecting previously fact-checked claims
Shaden Shaar, Nikolay Babulkov, Giovanni Da San Martino, and Preslav Nakov. 2020 · 2020
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Hierarchical propagation networks for fake news detection: Investigation and exploitation
Kai Shu, Deepak Mahudeswaran, Suhang Wang, and Huan Liu. 2020 · 2020
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Multi-modal cyberbullying detection on social networks
Kaige Wang, Qingyu Xiong, Chao Wu, Min Gao, and Yang Yu. 2020 · 2020
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Who’s in the gang? revealing coordinating communities in social media
Derek Weber and Frank Neumann. 2020 · 2020
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How to fight an infodemic
John Zarocostas. 2020 · 2020
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SAFE: Similarity-aware multi-modal fake news detection
Xinyi Zhou, Jindi Wu, and Reza Zafarani. 2020 · 2020
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A survey of fake news: Fundamental theories, detection methods, and opportunities
Xinyi Zhou and Reza Zafarani. 2020 · 2020
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Fighting the COVID-19 infodemic: Modeling the perspective of journalists, fact-checkers, social media platforms, policy makers, and the society
Firoj Alam, Shaden Shaar, Fahim Dalvi, Hassan Sajjad, Alex Nikolov, Hamdy Mubarak, Giovanni Da San Martino, Ahmed Abdelali, Nadir Durrani, Kareem Darwish, Abdulaziz Al-Homaid, Wajdi Zaghouani, Tommaso Caselli, Gijs Danoe, Friso Stolk, Britt Bruntink, and Preslav Nakov. 2021 · 2021
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Heu emotion: a large-scale database for multimodal emotion recognition in the wild
Jing Chen, Chenhui Wang, Kejun Wang, Chaoqun Yin, Cong Zhao, Tao Xu, Xinyi Zhang, Ziqiang Huang, Meichen Liu, and Tao Yang. 2021 · 2021
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Australian code of practice on disinformation and misinformation
Digital Industry Group Inc DIGI. 2021 · 2021
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Task 6 at SemEval-2021: Detection of persuasion techniques in texts and images
Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar, Firoj Alam, Fabrizio Silvestri, Hamed Firooz, Preslav Nakov, and Giovanni Da San Martino. 2021b · 2021
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How well do hate speech, toxicity, abusive and offensive language classification models generalize across datasets?
Paula Fortuna, Juan Soler-Company, and Leo Wanner. 2021 · 2021
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Claim matching beyond English to scale global fact-checking
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Uncovering coordinated networks on social media: Methods and case studies
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Cross-SEAN: A cross-stitch semi-supervised neural attention model for covid-19 fake news detection
William Scott Paka, Rachit Bansal, Abhay Kaushik, Shubhashis Sengupta, and Tanmoy Chakraborty. 2021 · 2021
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Fighting an infodemic: Covid-19 fake news dataset
Parth Patwa, Shivam Sharma, Srinivas Pykl, Vineeth Guptha, Gitanjali Kumari, Md Shad Akhtar, Asif Ekbal, Amitava Das, and Tanmoy Chakraborty. 2021 · 2021
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Topic-aware evidence reasoning and stance-aware aggregation for fact verification
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The CLEF-2022 CheckThat! Lab on fighting the covid-19 infodemic and fake news detection
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