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The internet promised to democratize access to knowledge and make the world more open and understanding.
Modularity and community structure in networks
Newman, M. E · 2006
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Fast unfolding of communities in large networks
Blondel, V. D., Guillaume, J.-L., Lambiotte, R., and Lefebvre, E · 2008
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Gephi: an open source software for exploring and manipulating networks
Bastian, M., Heymann, S., and Jacomy, M · 2009
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Misinformation and its correction: Continued influence and successful debiasing
Lewandowsky, S., Ecker, U. K., Seifert, C. M., Schwarz, N., and Cook, J · 2012
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Newspapers and the long-term implications of hyperlinking
Weber, M. S · 2012
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The hockey stick and the climate wars: Dispatches from the front lines
Mann, M. E · 2013
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Belief echoes: The persistent effects of corrected misinformation
Thorson, E · 2016
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Debunking: A meta-analysis of the psychological efficacy of messages countering misinformation
Chan, M.-p. S., Jones, C. R., Hall Jamieson, K., and Albarracín, D · 2017
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https://www.dailymail.co.uk/news/article-4593286/The-man-millions-Twitter-bot-Trump-followers.html, 2017
Dailymail · 2017
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Beyond misinformation: Understanding and coping with the "post-truth" era
Lewandowsky, S., Ecker, U. K., and Cook, J · 2017
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Detect rumors in microblog posts using propagation structure via kernel learning
Ma, J., Gao, W., and Wong, K.-F · 2017
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CSI: A hybrid deep model for fake news detection
Ruchansky, N., Seo, S., and Liu, Y · 2017
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Detecting fake news in social media networks
Aldwairi, M., and Alwahedi, A · 2018
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Detecting fake news with machine learning method
Aphiwongsophon, S., and Chongstitvatana, P · 2018
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Deep learning algorithms for detecting fake news in online text
Girgis, S., Amer, E., and Gadallah, M · 2018
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Deepfake video detection using recurrent neural networks
Güera, D., and Delp, E. J · 2018
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A retrospective analysis of the fake news challenge stance detection task
Hanselowski, A., PVS, A., Schiller, B., Caspelherr, F., Chaudhuri, D., Meyer, C. M., and Gurevych, I · 2018
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Multi-source multi-class fake news detection
Karimi, H., Roy, P., Saba-Sadiya, S., and Tang, J · 2018
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Exposing deepfake videos by detecting face warping artifacts
Li, Y., and Lyu, S · 2018
Cited alongside, same era.
Early detection of fake news on social media through propagation path classification with recurrent and convolutional networks
Liu, Y., and Wu, Y.-F · 2018
Cited alongside, same era.
Anatomy of an online misinformation network
Shao, C., Hui, P.-M., Wang, L., Jiang, X., Flammini, A., Menczer, F., and Ciampaglia, G. L · 2018
Cited alongside, same era.
Understanding user profiles on social media for fake news detection
Shu, K., Wang, S., and Liu, H · 2018
Cited alongside, same era.
Fake news detection in social networks via crowd signals
Tschiatschek, S., Singla, A., Gomez Rodriguez, M., Merchant, A., and Krause, A · 2018
Cited alongside, same era.
The spread of true and false news online
A Longitudinal Analysis of YouTube’s Promotion of Conspiracy Videos
Faddoul, M., Chaslot, G., and Farid, H · 2020
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https://healthfeedback.org/claimreview/listicle-of-facts-about-covid-19-contains-numerous-inaccurate-and-misleading-claims/, 2020
Feedback, H · 2020
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Identifying disinformation websites using infrastructure features
Hounsel, A., Holland, J., Kaiser, B., Borgolte, K., Feamster, N., and Mayer, J · 2020
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https://www.insider.com/conspiracy-theory-wikispooks-huge-traffic-increase-coronavirus-data-2020-6, 2020
Insider · 2020
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More than 1 in 3 Americans believe a ‘deep state’ is working to undermine Trump
Ipsos · 2020
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alphaXiv searches the wider corpus for related work and actual follow-ups.
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Vosoughi, S., Roy, D., and Aral, S · 2018
Cited alongside, same era.
Protecting world leaders against deep fakes
Agarwal, S., Farid, H., Gu, Y., He, M., Nagano, K., and Li, H · 2019
Cited alongside, same era.
https://www.engadget.com/2019-11-11-google-political-ads-polls-email-collection.html, 2019
Engadget · 2019
Cited alongside, same era.
Exploiting visual artifacts to expose deepfakes and face manipulations
Matern, F., Riess, C., and Stamminger, M · 2019
Cited alongside, same era.
Supervised learning for fake news detection
Reis, J. C., Correia, A., Murai, F., Veloso, A., and Benevenuto, F · 2019
Cited alongside, same era.
Detecting fake news on social media
Shu, K., and Liu, H · 2019
Cited alongside, same era.
Beyond news contents: The role of social context for fake news detection
Shu, K., Wang, S., and Liu, H · 2019
Cited alongside, same era.
Leadstories · 2020
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Celeb-df: A large-scale challenging dataset for deepfake forensics
Li, Y., Yang, X., Sun, P., Qi, H., and Lyu, S · 2020
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Examining the Global Spread of COVID-19 Misinformation
Nightingale, S., and Farid, H · 2020
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Intermedia reliance and sustainability of emergent media: A large-scale analysis of american news outlets’ external linking behaviors
Pak, C., Cotter, K., and DeCook, J · 2020
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https://www.politifact.com/factchecks/2020/jul/28/stella-immanuel/dont-fall-video-hydroxychloroquine-not-covid-19-cu/, 2020
Politifact · 2020
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The difference between what Republicans and Democrats believe to be true about COVID-19
Sanders, L · 2020
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https://www.journalism.org/2021/01/12/news-use-across-social-media-platforms-in-2020/, 2020
Shearer, E., and Gottfried, J · 2020
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https://www.nytimes.com/2020/07/28/us/politics/russia-disinformation-coronavirus.html, 2020
Times, T. N. Y · 2020
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Massive facebook study on users’ doubt in vaccines finds a small group appears to play a big role in pushing the skepticism
Dwoskin, E · 2021
Closest in time.
A benchmark study of machine learning models for online fake news detection
Khan, J. Y., Khondaker, M. T. I., Afroz, S., Uddin, G., and Iqbal, A · 2021
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"down the rabbit hole" of vaccine misinformation on youtube: Network exposure study
Tang, L., Fujimoto, K., Amith, M. T., Cunningham, R., Costantini, R. A., York, F., Xiong, G., Boom, J. A., and Tao, C · 2021
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https://en.wikipedia.org/wiki/Natural_News, 2021
Wikipedia · 2021
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