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With the rapid increase in access to internet and the subsequent growth in the population of online social media users, the quality of information posted, disseminated and consumed via these platforms is an issue of growing concern.
Patterns of Prejudice 41
Bale, J.M.: Political paranoia v. political realism: On distinguishing between bogus conspiracy theories and genuine conspiratorial politics · 2007
Earlier work this paper cites.
Political Behavior 32
Nyhan, B., Reifler, J.: When corrections fail: The persistence of political misperceptions · 2010
Earlier work this paper cites.
In: Proceedings of the 20th international conference on World wide web, pp. 665–674 (2011)
Budak, C., Agrawal, D., El Abbadi, A.: Limiting the spread of misinformation in social networks · 2011
Earlier work this paper cites.
arXiv preprint arXiv:1107.4557 (2011)
Ott, M., Choi, Y., Cardie, C., Hancock, J.T.: Finding deceptive opinion spam by any stretch of the imagination · 2011
Earlier work this paper cites.
In: Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pp. 171–175 (2012)
Feng, S., Banerjee, R., Choi, Y.: Syntactic stylometry for deception detection · 2012
Earlier work this paper cites.
In: Proceedings of the 4th Annual ACM Web Science Conference, pp. 213–222 (2012)
Nguyen, N.P., Yan, G., Thai, M.T., Eidenbenz, S.: Containment of misinformation spread in online social networks · 2012
Earlier work this paper cites.
Journal of pragmatics 59
Metzger, M.J., Flanagin, A.J.: Credibility and trust of information in online environments: The use of cognitive heuristics · 2013
Earlier work this paper cites.
Human-centric Computing and Information Sciences 4
Kumar, K.K., Geethakumari, G.: Detecting misinformation in online social networks using cognitive psychology · 2014
Earlier work this paper cites.
In: 2014 IEEE Joint Intelligence and Security Informatics Conference, pp. 68–74. IEEE (2014)
Luo, C., Cui, K., Zheng, X., Zeng, D.: Time critical disinformation influence minimization in online social networks · 2014
Earlier work this paper cites.
In: Proceedings of the ACL 2014 Workshop on Language Technologies and Computational Social Science, pp. 18–22 (2014)
Vlachos, A., Riedel, S.: Fact checking: Task definition and dataset construction · 2014
Earlier work this paper cites.
PloS one 10
Ciampaglia, G.L., Shiralkar, P., Rocha, L.M., Bollen, J., Menczer, F., Flammini, A.: Computational fact checking from knowledge networks · 2015
Earlier work this paper cites.
Emerging trends in the social and behavioral sciences: An interdisciplinary, searchable, and linkable resource pp. 1–17 (2015)
Cook, J., Ecker, U., Lewandowsky, S.: Misinformation and how to correct it · 2015
Earlier work this paper cites.
Facebook newsroom 15
Mosseri, A.: News feed fyi: Addressing hoaxes and fake news · 2016
Earlier work this paper cites.
Political Communication 33
Thorson, E.: Belief echoes: The persistent effects of corrected misinformation · 2016
Earlier work this paper cites.
Journal of economic perspectives 31
Allcott, H., Gentzkow, M.: Social media and fake news in the 2016 election · 2017
Earlier work this paper cites.
Media Asia 44
Ecker, U.K.: Why rebuttals may not work: the psychology of misinformation · 2017
Earlier work this paper cites.
arXiv preprint arXiv:1710.00341 (2017)
Karadzhov, G., Nakov, P., Màrquez, L., Barrón-Cedeño, A., Koychev, I.: Fully automated fact checking using external sources · 2017
Earlier work this paper cites.
Facebook Newsroom (2017)
Lyons, T.: News feed fyi: Replacing disputed flags with related articles · 2017
Earlier work this paper cites.
Dual process theory 2
Pennycook, G.: A perspective on the theoretical foundation of dual process models · 2017
Earlier work this paper cites.
In: HCOMP, pp. 157–166 (2017)
Sameki, M., Zhang, T., Ding, L., Betke, M., Gurari, D.: Crowd-o-meter: Predicting if a person is vulnerable to believe political claims · 2017
Earlier work this paper cites.
In: Proceedings of the First Workshop on Fact Extraction and VERification (FEVER), pp. 10–15 (2018)
Asr, F.T., Taboada, M.: The data challenge in misinformation detection: Source reputation vs. content veracity · 2018
Earlier work this paper cites.
In: 2018 22nd Conference of Open Innovations Association (FRUCT), pp. 272–279. IEEE (2018)
Della Vedova, M.L., Tacchini, E., Moret, S., Ballarin, G., DiPierro, M., de Alfaro, L.: Automatic online fake news detection combining content and social signals · 2018
Earlier work this paper cites.
Graves, D.: Understanding the promise and limits of automated fact-checking (2018)
2018
Earlier work this paper cites.
National Endowment for Democracy (2018)
Jackson, D.: Issue brief: How disinformation impacts politics and publics · 2018
Earlier work this paper cites.
In: Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, pp. 324–332 (2018)
Kim, J., Tabibian, B., Oh, A., Schölkopf, B., Gomez-Rodriguez, M.: Leveraging the crowd to detect and reduce the spread of fake news and misinformation · 2018
Earlier work this paper cites.
arXiv preprint arXiv:1803.00344 (2018)
Krishnamurthy, G., Majumder, N., Poria, S., Cambria, E.: A deep learning approach for multimodal deception detection · 2018
Earlier work this paper cites.
In: Thirty-Second AAAI Conference on Artificial Intelligence (2018)
Liu, Y., Wu, Y.F.B.: Early detection of fake news on social media through propagation path classification with recurrent and convolutional networks · 2018
Earlier work this paper cites.
In: IJCAI, vol. 18, pp. 3834–3840 (2018)
Qian, F., Gong, C., Sharma, K., Liu, Y.: Neural user response generator: Fake news detection with collective user intelligence · 2018
Earlier work this paper cites.
In: 2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), pp. 430–435. IEEE (2018)
Shu, K., Wang, S., Liu, H.: Understanding user profiles on social media for fake news detection · 2018
Earlier work this paper cites.
Princeton University Press (2018)
Sunstein, C.R.: # Republic: Divided democracy in the age of social media · 2018
Earlier work this paper cites.
In: Advances in neural information processing systems, pp. 341–351 (2018)
Tong, A., Du, D.Z., Wu, W.: On misinformation containment in online social networks · 2018
Earlier work this paper cites.
In: Companion Proceedings of the The Web Conference 2018, pp. 517–524 (2018)
Tschiatschek, S., Singla, A., Gomez Rodriguez, M., Merchant, A., Krause, A.: Fake news detection in social networks via crowd signals · 2018
Earlier work this paper cites.
Science 359
Vosoughi, S., Roy, D., Aral, S.: The spread of true and false news online · 2018
Earlier work this paper cites.
In: Proceedings of the 24th acm sigkdd international conference on knowledge discovery & data mining, pp. 849–857 (2018)
Wang, Y., Ma, F., Jin, Z., Yuan, Y., Xun, G., Jha, K., Su, L., Gao, J.: Eann: Event adversarial neural networks for multi-modal fake news detection · 2018
Earlier work this paper cites.
In: Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, pp. 41–48 (2019)
Cui, L., Wang, S., Lee, D.: Same: sentiment-aware multi-modal embedding for detecting fake news · 2019
Earlier work this paper cites.
arXiv preprint arXiv:1905.10412 (2019)
Dhamani, N., Azunre, P., Gleason, J.L., Corcoran, C., Honke, G., Kramer, S., Morgan, J.: Using Deep Networks and Transfer Learning to Address Disinformation · 2019
Cited alongside, same era.
Gangware, C., Nemr, W.: Weapons of mass distraction: Foreign state-sponsored disinformation in the digital age (2019)
2019
Cited alongside, same era.
Computación y Sistemas 23
Janicka, M., Pszona, M., Wawer, A.: Cross-Domain Failures of Fake News Detection · 2019
Cited alongside, same era.
In: The World Wide Web Conference, pp. 2915–2921 (2019)
Khattar, D., Goud, J.S., Gupta, M., Varma, V.: Mvae: Multimodal variational autoencoder for fake news detection · 2019
Cited alongside, same era.
In: International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation, pp. 234–244. Springer (2019)
Rajabi, Z., Shehu, A., Purohit, H.: User behavior modelling for fake information mitigation on social web · 2019
https://www.disinfo.eu/outreach/our-webinars/fight-disinformation-through-gaming-and-education-the-drog-media-literacy-initiative/
Fight disinformation through gaming and education: the drog media literacy initiative · 2020
Closest in time.
https://edition.cnn.com/interactive/2019/05/europe/finland-fake-news-intl/
Finland is winning the war on fake news. what it’s learned may be crucial to western democracy · 2020
Closest in time.
https://www.statista.com/statistics/617136/digital-population-worldwide/
Global digital population as of july 2020 · 2020
Closest in time.
https://www.aarp.org/money/scams-fraud/info-2019/health-insurance.html
Health insurance scams · 2020
Closest in time.
https://www.bbc.com/news/technology-52833706
How Bill Gates became the voodoo doll of Covid conspiracies · 2020
Closest in time.
https://www.weforum.org/agenda/2019/05/how-finland-is-fighting-fake-news-in-the-classroom/
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
In: Proceedings of the 10th ACM Conference on Web Science, pp. 17–26 (2019)
Reis, J.C., Correia, A., Murai, F., Veloso, A., Benevenuto, F.: Explainable machine learning for fake news detection · 2019
Cited alongside, same era.
Palgrave Communications 5
Roozenbeek, J., van der Linden, S.: Fake news game confers psychological resistance against online misinformation · 2019
Cited alongside, same era.
In: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp. 395–405 (2019)
Shu, K., Cui, L., Wang, S., Lee, D., Liu, H.: defend: Explainable fake news detection · 2019
Cited alongside, same era.
Synthesis Lectures on Data Mining and Knowledge Discovery 11
Shu, K., Liu, H.: Detecting fake news on social media · 2019
Cited alongside, same era.
In: Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, pp. 312–320 (2019)
Shu, K., Wang, S., Liu, H.: Beyond news contents: The role of social context for fake news detection · 2019
Cited alongside, same era.
In: 2019 IEEE Fifth International Conference on Multimedia Big Data (BigMM), pp. 39–47. IEEE (2019)
Singhal, S., Shah, R.R., Chakraborty, T., Kumaraguru, P., Satoh, S.: Spotfake: A multi-modal framework for fake news detection · 2019
Cited alongside, same era.
ACM Transactions on the Web (TWEB) 13
Vicario, M.D., Quattrociocchi, W., Scala, A., Zollo, F.: Polarization and fake news: Early warning of potential misinformation targets · 2019
Cited alongside, same era.
How finland is fighting fake news - in the classroom · 2020
Closest in time.
https://www.nytimes.com/2020/05/20/technology/plandemic-movie-youtube-facebook-coronavirus.html
How the ‘Plandemic’ Movie and Its Falsehoods Spread Widely Online · 2020
Closest in time.
https://www.theverge.com/2020/5/12/21254184/how-plandemic-went-viral-facebook-youtube
How the ‘plandemic’ video hoax went viral · 2020
Closest in time.
https://time.com/5362183/the-real-fake-news-crisis/
How your brain tricks you into believing fake news · 2020
Closest in time.
https://qz.com/1533747/in-the-age-of-fake-news-heres-how-schools-are-teaching-kids-to-think-like-fact-checkers/
In the age of fake news, here’s how schools are teaching kids to think like fact-checkers · 2020
Closest in time.
https://en.wikipedia.org/wiki/Internet_troll
Internet troll · 2020
Closest in time.
https://www.the74million.org/article/media-literacy-is-literacy/
‘media literacy is literacy’: Here’s how educators and lawmakers are working to set students up for success online · 2020
Closest in time.
https://www.healthline.com/health-news/no-face-masks-cant-cause-co2-poisoning
No, Face Masks Can’t Cause CO2 Poisoning · 2020
Closest in time.
https://www.usnews.com/news/politics/articles/2019-01-09/study-older-people-are-more-susceptible-to-fake-news-more-likely-to-share-it
Older People More Susceptible to Fake News, More Likely to Share It · 2020
Closest in time.
https://www.zdnet.com/article/openais-dangerous-ai-text-generator-is-out-people-find-gpt-2s-words-convincing/
OpenAI’s ‘dangerous’ AI text generator is out: People find GPT-2’s words ‘convincing’ · 2020
Closest in time.
https://firstdraftnews.org/latest/the-psychology-of-misinformation-why-were-vulnerable/
The psychology of misinformation: Why we’re vulnerable · 2020
Closest in time.
https://www.pbs.org/newshour/education/spread-of-fake-news-prompts-literacy-efforts-in-schools
Spread of fake news prompts literacy efforts in schools · 2020
Closest in time.
https://sheg.stanford.edu/students-civic-online-reasoning
Students’ Civic Online Reasoning · 2020
Closest in time.
https://www.theguardian.com/media/2018/apr/24/eu-to-warn-social-media-firms-over-fake-news-and-data-mining
Tech firms could face new EU regulations over fake news · 2020
Closest in time.
https://techcrunch.com/2017/09/28/tech-giants-pressured-to-auto-flag-illegal-content-in-europe/
Tech giants pressured to auto-flag “illegal” content in europe · 2020
Closest in time.
https://www.technologyreview.com/2020/05/28/1002357/trump-signs-social-media-order-after-twitter-fact-check/
Trump responds to twitter’s fact-check by targeting social-media protections · 2020
Closest in time.
https://techcrunch.com/2019/08/15/us-legislator-david-cicilline-joins-international-push-to-interrogate-platform-power/
US legislator, David Cicilline, joins international push to interrogate platform power · 2020
Closest in time.
https://www.webopedia.com/TERM/F/fake-news.html
Webopedia: Fake news definition · 2020
Closest in time.
https://www.psychologytoday.com/us/blog/raising-humans-in-digital-world/201905/why-are-we-still-falling-fake-news
Why are we still falling for fake news? · 2020
Closest in time.
https://www.nytimes.com/2019/01/19/opinion/sunday/fake-news.html
Why Do People Fall for Fake News? · 2020
Closest in time.
https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200202-sitrep-13-ncov-v3.pdf
World health organization. ”novel coronavirus (2019-nCoV): Situation report - 13.” (2020) · 2020
Closest in time.
Mathematical Problems in Engineering 2020
Guo, M., Xu, Z., Liu, L., Guo, M., Zhang, Y.: An Adaptive Deep Transfer Learning Model for Rumor Detection without Sufficient Identified Rumors · 2020
Closest in time.
Information Sciences 512
Hosni, A.I.E., Li, K., Ahmad, S.: Minimizing rumor influence in multiplex online social networks based on human individual and social behaviors · 2020
Closest in time.
In: 2020 14th International Conference on Ubiquitous Information Management and Communication (IMCOM), pp. 1–6. IEEE (2020)
Kang, S., Hwang, J., Yu, H.: Multi-modal component embedding for fake news detection · 2020
Closest in time.
Management Science (2020)
Pennycook, G., Bear, A., Collins, E.T., Rand, D.G.: The implied truth effect: Attaching warnings to a subset of fake news headlines increases perceived accuracy of headlines without warnings · 2020
Closest in time.
Big Data 8
Shu, K., Mahudeswaran, D., Wang, S., Lee, D., Liu, H.: FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media · 2020
Closest in time.
arXiv preprint arXiv:2004.01732 (2020)
Shu, K., Zheng, G., Li, Y., Mukherjee, S., Awadallah, A.H., Ruston, S., Liu, H.: Leveraging Multi-Source Weak Social Supervision for Early Detection of Fake News · 2020
Closest in time.
Information 11
Tchakounté, F., Faissal, A., Atemkeng, M., Ntyam, A.: A Reliable Weighting Scheme for the Aggregation of Crowd Intelligence to Detect Fake News · 2020
Closest in time.
Digital Threats: Research and Practice 1
Zhou, X., Jain, A., Phoha, V.V., Zafarani, R.: Fake news early detection: A theory-driven model · 2020
Closest in time.
arXiv preprint arXiv:2003.04981 (2020)
Zhou, X., Wu, J., Zafarani, R.: Safe: Similarity-aware multi-modal fake news detection · 2020
Closest in time.