This repository contains recent research on fake news. Inspired from other 'awesome' github pages like awesome-deep-learning.
Table of content:
SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours
Verifying Multimedia Use at MediaEval 2015 image-verification-corpus
Kaggle dataset: Getting Real about Fake News
FakeNewsChallenge Fake News Challenge 1
BuzzFeedNews Partisan News Analysis
FakeNewsCorpus FakeNewsCorpus - about 10 million news articles classified using opensources.co types
Wikipedia Fact-Checking Dataset FEVER: a large-scale dataset for Fact Extraction and VERification
Data for politifact.com, also check Liar, Liar Pants on Fire: A New Benchmark Dataset for Fake News Detection
Some websites sharing fake articles: https://gist.github.com/Criipi/a3a7357466821f2ec62ce42b2529394b
2018, Arkaitz Zubiaga, Ahmet Aker, Kalina Bontcheva, Maria Liakata, and Rob Procter. 2018. Detection and Resolution of Rumours in Social Media: A Survey. ACM Comput. Surv. 51, 2, Article 32 (February 2018), 36 pages. DOI: https://doi.org/10.1145/3161603
2018, Jingbo Shang, Jiaming Shen, Tianhang Sun, Xingbang Liu, Anja Gruenheid, Flip Korn, Adam D. Lelkes, Cong Yu, and Jiawei Han. 2018. Investigating Rumor News Using Agreement-Aware Search. In Proceedings of the 27th ACM International Conference on Information and Knowledge Management (CIKM '18). ACM, New York, NY, USA, 2117-2125. DOI: https://doi.org/10.1145/3269206.3272020
2018, Kashyap Popat, Subhabrata Mukherjee, Andrew Yates,Gerhard Weikum, DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning, EMNLP 2018, http://aclweb.org/anthology/D18-1003
2018, Srijan Kumar, Meng Jiang, Taeho Jung, Roger Jie Luo, and Jure Leskovec. 2018. MIS2: Misinformation and Misbehavior Mining on the Web. In Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining (WSDM '18). ACM, New York, NY, USA, 799-800. DOI: https://doi.org/10.1145/3159652.3160597
2018, Shu, K., Bernard, H.R., & Liu, H. (2018). Studying Fake News via Network Analysis: Detection and Mitigation. CoRR, abs/1804.10233.
2018, Vargo, C.J., Guo, L., & Amazeen, M.A. (2018). The agenda-setting power of fake news: A big data analysis of the online media landscape from 2014 to 2016. New Media & Society, 20, 2028-2049.
2018, Yaqing Wang, Fenglong Ma, Zhiwei Jin, Ye Yuan, Guangxu Xun, Kishlay Jha, Lu Su, and Jing Gao. 2018. EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection. In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD '18). ACM, New York, NY, USA, 849-857. (DOI: )[https://doi.org/10.1145/3219819.3219903]
2018, Jooyeon Kim, Behzad Tabibian, Alice Oh, Bernhard Schölkopf, and Manuel Gomez-Rodriguez. 2018. Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation. In Proceedings of WSDM 2018: The Eleventh ACM International Conference on Web Search and Data Mining, Marina Del Rey, Ca, USA, February 5–9, 2018 (WSDM 2018), 9 pages. https://doi.org/10.1145/3159652.3159734
2018, Potthast, Martin, Johannes Kiesel, Kevin Reinartz, Janek Bevendorff, and Benno Stein. "A stylometric inquiry into hyperpartisan and fake news." arXiv preprint arXiv:1702.05638 (2017). ACL 2018
2018, Nguyen Vo, Kyumin Lee, The Rise of Guardians: Fact-checking URL Recommendation to Combat Fake News, SIGIR 2018, https://arxiv.org/pdf/1806.07516.pdf
2018, Yaqing Wang, Fenglong Ma, Zhiwei Jin, Ye Yuan, Guangxu Xun, Kishlay Jha, Lu Su, and Jing Gao. 2018. EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection
2018, Sebastian Tschiatschek, Adish Singla, Manuel Gomez Rodriguez, Arpit Merchant, and Andreas Krause. 2018. Fake News Detection in Social Networks via Crowd Signals. In Companion Proceedings of the The Web Conference 2018 (WWW '18). International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva, Switzerland, 517-524. DOI: https://doi.org/10.1145/3184558.3188722
To appear, 2018, Kumar, Srijan, and Neil Shah. False information on web and social media: A survey arXiv preprint arXiv:1804.08559(2018).
March, 2018, Soroush Vosoughi, Deb Roy, Sinan Aral, The spread of true and false news online
March, 2018, David M. J. Lazer, Matthew A. Baum, Yochai Benkler, Adam J. Berinsky, Kelly M. Greenhill, Filippo Menczer, Miriam J. Metzger, Brendan Nyhan, Gordon Pennycook, David Rothschild, Michael Schudson, Steven A. Sloman, Cass R. Sunstein, Emily A. Thorson, Duncan J. Watts, Jonathan L. Zittrain The science of fake news
Feb, 2018, Liang Wu, Huan Liu Tracing Fake-News Footprints: Characterizing Social Media Messages by How They Propagate
2017, Adam Fourney, Miklos Z. Racz, Gireeja Ranade, Markus Mobius, and Eric Horvitz. 2017. Geographic and Temporal Trends in Fake News Consumption During the 2016 US Presidential Election. In Proceedings of the 2017 ACM on Conference on Information and Knowledge Management (CIKM '17). ACM, New York, NY, USA, 2071-2074. DOI: https://doi.org/10.1145/3132847.3133147
2017, Buntain, Cody, and Jennifer Golbeck. "Automatically Identifying Fake News in Popular Twitter Threads." In Smart Cloud (SmartCloud), 2017 IEEE International Conference on, pp. 208-215. IEEE, 2017.
2017, Volkova, Svitlana, Kyle Shaffer, Jin Yea Jang, and Nathan Hodas. "Separating facts from fiction: Linguistic models to classify suspicious and trusted news posts on twitter." In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), vol. 2, pp. 647-653. 2017
April, 2017, Eugenio Tacchini, Gabriele Ballarin, Marco L. Della Vedova, Stefano Moret, Luca de Alfaro. "Some Like it Hoax: Automated Fake News Detection in Social Networks"
2017, Rashkin, Hannah, Eunsol Choi, Jin Yea Jang, Svitlana Volkova, and Yejin Choi. "Truth of Varying Shades: Analyzing Language in Fake News and Political Fact-Checking." In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, pp. 2921-2927. 2017.
2017, Wang, William Yang. Liar, Liar Pants on Fire: A New Benchmark Dataset for Fake News Detection
2017, Shu, Kai, Amy Sliva, Suhang Wang, Jiliang Tang, and Huan Liu. "Fake News Detection on Social Media: A Data Mining Perspective." ACM SIGKDD Explorations Newsletter 19, no. 1 (2017): 22-36.
2016, Sampson, Justin, Fred Morstatter, Liang Wu, and Huan Liu. "Leveraging the implicit structure within social media for emergent rumor detection." In Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, pp. 2377-2382. ACM, 2016.
2016, Ma, Jing, Wei Gao, Prasenjit Mitra, Sejeong Kwon, Bernard J. Jansen, Kam-Fai Wong, and Meeyoung Cha. "Detecting Rumors from Microblogs with Recurrent Neural Networks." In IJCAI, pp. 3818-3824. 2016.
2016, Kumar, Srijan, Robert West, and Jure Leskovec. "Disinformation on the web: Impact, characteristics, and detection of wikipedia hoaxes." In Proceedings of the 25th International Conference on World Wide Web, pp. 591-602. International World Wide Web Conferences Steering Committee, 2016.
2016, Rubin, Victoria, Niall Conroy, Yimin Chen, and Sarah Cornwell. "Fake news or truth? using satirical cues to detect potentially misleading news." In Proceedings of the Second Workshop on Computational Approaches to Deception Detection, pp. 7-17. 2016.
2015, Liu, Xiaomo, Armineh Nourbakhsh, Quanzhi Li, Rui Fang, and Sameena Shah. "Real-time rumor debunking on twitter." In Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, pp. 1867-1870. ACM, 2015.
2015, Rubin, Victoria L., Yimin Chen, and Niall J. Conroy. "Deception detection for news: three types of fakes." Proceedings of the Association for Information Science and Technology 52, no. 1 (2015): 1-4.
2015, Conroy, Niall J., Victoria L. Rubin, and Yimin Chen. "Automatic deception detection: Methods for finding fake news." Proceedings of the Association for Information Science and Technology 52, no. 1 (2015): 1-4.
2015, Hassan, Naeemul, Chengkai Li, and Mark Tremayne. "Detecting check-worthy factual claims in presidential debates." In Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, pp. 1835-1838. ACM, 2015.
[Pheme Project](https://www.pheme.eu/software-downloads/ [Pheme Project)
Analysis of fake news dataset with Machine Learning
2018, Kiran Garimella et al. Political Discourse on Social Media: Echo Chambers, Gatekeepers, and the Price of Bipartisanship
2018, Glenski, Maria, Tim Weninger, and Svitlana Volkova. "Identifying and Understanding User Reactions to Deceptive and Trusted Social News Sources." arXiv preprint arXiv:1805.12032 (2018).
For Social Media polarization and Echo-chambers, check this github page
For Stance learning, check this github page
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