[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
research-article

The Web of False Information: Rumors, Fake News, Hoaxes, Clickbait, and Various Other Shenanigans

Published: 07 May 2019 Publication History

Abstract

A new era of Information Warfare has arrived. Various actors, including state-sponsored ones, are weaponizing information on Online Social Networks to run false-information campaigns with targeted manipulation of public opinion on specific topics. These false-information campaigns can have dire consequences to the public: mutating their opinions and actions, especially with respect to critical world events like major elections. Evidently, the problem of false information on the Web is a crucial one and needs increased public awareness as well as immediate attention from law enforcement agencies, public institutions, and in particular, the research community.
In this article, we make a step in this direction by providing a typology of the Web’s false-information ecosystem, composed of various types of false-information, actors, and their motives. We report a comprehensive overview of existing research on the false-information ecosystem by identifying several lines of work: (1) how the public perceives false information; (2) understanding the propagation of false information; (3) detecting and containing false information on the Web; and (4) false information on the political stage. In this work, we pay particular attention to political false information as: (1) it can have dire consequences to the community (e.g., when election results are mutated) and (2) previous work shows that this type of false information propagates faster and further when compared to other types of false information. Finally, for each of these lines of work, we report several future research directions that can help us better understand and mitigate the emerging problem of false-information dissemination on the Web.

References

[1]
Amazon. 2005. Amazon Mechanical Turk. Retrieved from https://www.mturk.com/.
[2]
CrowdFlower. 2007. CrowdFlower. Retrieved from https://www.crowdflower.com/.
[3]
Merriam-Webster. 2018. Definition of Half-truth. Retrieved from https://www.merriam-webster.com/dictionary/half-truth.
[4]
Epinions. 1999. Epinions. Retrieved from http://www.epinions.com/.
[5]
Wikipedia. 2018. Extreme Value Theory. Retrieved from https://en.wikipedia.org/wiki/Extreme_value_theory.
[6]
The Guardian. 2016. Facebook’s Failure: Did Fake News and Polarized Politics Get Trump Elected? Retrieved from https://www.theguardian.com/technology/2016/nov/10/facebook-fake-news-election-conspiracy-theories.
[7]
First Draft. 2017. Fake News. It’s Complicated. Retrieved from https://firstdraftnews.com/fake-news-complicated/.
[8]
The Guardian. 2016. False Smartphone Alert of Huge Earthquake Triggers Panic in Japan. Retrieved from https://www.theguardian.com/world/2016/aug/01/false-alert-of-huge-earthquake-triggers-panic-in-japan.
[9]
Venture Beat. 2017. French Fear Putin and Trump Followers are Using 4chan to Disrupt Presidential Election. Retrieved from https://venturebeat.com/2017/05/05/french-fear-putin-and-trump-followers-are-using-4chan-to-disrupt-presidential-election/.
[10]
Wikipedia. 2018. H-index. Retrieved from https://en.wikipedia.org/wiki/H-index.
[11]
Wired. 2018. How ISIS and Russia Won Friends and Manufactured Crowds. Retrieved from https://www.wired.com/story/isis-russia-manufacture-crowds/.
[12]
QZ. 2018. How Russian Trolls’ Support of Third Parties Could Have Cost Hillary Clinton the Election. Retrieved from https://qz.com/1210369/russia-donald-trump-2016-how-russian-trolls-support-of-us-third-parties-may-have-cost-hillary-clinton-the-election/.
[13]
The New York Times. 2018. How Trump Consultants Exploited the Facebook Data of Millions. Retrieved from https://www.nytimes.com/2018/03/17/us/politics/cambridge-analytica-trump-campaign.html.
[14]
Time. 2014. The Origins of Writerly Words. Retrieved from http://time.com/82601/the-origins-of-writerly-words/
[15]
QZ. 2017. People Shared Nearly as Much Fake News as Real News on Twitter During the Election. Retrieved from https://qz.com/1090903/people-shared-nearly-as-much-fake-news-as-real-news-on-twitter-during-the-election/.
[16]
SatireWire. 2018. SatireWire. Retrieved from http://www.satirewire.com/.
[17]
Shuijunwang. 2018. Shuijunwang. Retrieved from http://www.shuijunwang.com.
[18]
Sina. 2018. Sina. Retrieved from http://www.sina.com/.
[19]
Stanford University. 2014. SNAP Datasets. Retrieved from http://snap.stanford.edu/data/.
[20]
Snopes. 2018. Snopes. Retrieved from http://www.snopes.com/.
[21]
Sohu. 2018. Sohu. Retrieved from http://www.sohu.com/.
[22]
The Onion. 2018. The Onion. Retrieved from http://www.theonion.com/.
[23]
Wikipedia. 2018. Useful Idiot Wiki. http://rationalwiki.org/wiki/Useful_idiot.
[24]
The Washington Post. 2016. “We Actually Elected a Meme as President”: How 4chan Celebrated Trump’s Victory. Retrieved from https://www.washingtonpost.com/news/the-intersect/wp/2016/11/09/we-actually-elected-a-meme-as-president-how-4chan-celebrated-trumps-victory/.
[25]
Xinhuanet. 2018. Xinhuanet. Retrieved from http://www.xinhuanet.com/.
[26]
Adperfect. 2017. How fake news is creating profits. Retrieved from http://www.adperfect.com/how-fake-news-is-creating-profits/.
[27]
Sadia Afroz, Michael Brennan, and Rachel Greenstadt. 2012. Detecting hoaxes, frauds, and deception in writing style online. In Proceedings of the SP.
[28]
Samer Al-khateeb and Nitin Agarwal. 2015. Examining botnet behaviors for propaganda dissemination: A case study of ISIL’s beheading videos-based propaganda. In Proceedings of the ICDMW.
[29]
Hunt Allcott and Matthew Gentzkow. 2017. Social Media and Fake News in the 2016 Election. Technical Report. National Bureau of Economic Research.
[30]
Majed AlRubaian, Muhammad Al-Qurishi, Mabrook Al-Rakhami, Sk Md Mizanur Rahman, and Atif Alamri. 2015. A multistage credibility analysis model for microblogs. In Proceedings of the ASONAM.
[31]
Jisun An, Meeyoung Cha, Krishna P. Gummadi, Jon Crowcroft, and Daniele Quercia. 2012. Visualizing media bias through Twitter. In Proceedings of the ICWSM.
[32]
Aris Anagnostopoulos, Alessandro Bessi, Guido Caldarelli, Michela Del Vicario, Fabio Petroni, Antonio Scala, Fabiana Zollo, and Walter Quattrociocchi. 2015. Viral misinformation: The role of homophily and polarization. In WWW (Companion Volume). 355--356.
[33]
Ankesh Anand, Tanmoy Chakraborty, and Noseong Park. 2017. We used neural networks to detect clickbaits: You won’t believe what happened Next! In Proceedings of the ECIR.
[34]
Cynthia Andrews, Elodie Fichet, Yuwei Ding, Emma S. Spiro, and Kate Starbird. 2016. Keeping up with the tweet-dashians: The impact of official accounts on online rumoring. In Proceedings of the CSCW.
[35]
Ahmer Arif, Kelley Shanahan, Fang-Ju Chou, Yoanna Dosouto, Kate Starbird, and Emma S. Spiro. 2016. How information snowballs: Exploring the role of exposure in online rumor propagation. In Proceedings of the CSCW.
[36]
Alessandro Bessi. 2016. On the statistical properties of viral misinformation in online social media. In Physica A: Statistical Mechanics and its Applications. 459--470.
[37]
Alessandro Bessi, Mauro Coletto, George Alexandru Davidescu, Antonio Scala, Guido Caldarelli, and Walter Quattrociocchi. 2015. Science vs conspiracy: Collective narratives in the age of misinformation. In PloS One 10, 2 (2015), e0118093.
[38]
Luís M.A. Bettencourt, Ariel Cintrón-Arias, David I. Kaiser, and Carlos Castillo-Chavez. 2006. The power of a good idea: Quantitative modeling of the spread of ideas from epidemiological models. In Physica A: Statistical Mechanics and its Applications. 513--536.
[39]
Prakhar Biyani, Kostas Tsioutsiouliklis, and John Blackmer. 2016. 8 amazing secrets for getting more clicks: Detecting clickbaits in news streams using article informality. In Proceedings of the 30th AAAI Conference on Artificial Intelligence.
[40]
Leticia Bode and Emily K. Vraga. 2015. In related news, that was wrong: The correction of misinformation through related stories functionality in social media. Journal of Communication 65, 4 (2015), 619--638.
[41]
Christina Boididou, Katerina Andreadou, Symeon Papadopoulos, Duc-Tien Dang-Nguyen, Giulia Boato, Michael Riegler, and Yiannis Kompatsiaris. 2015. Verifying multimedia use at MediaEval 2015. In Proceedings of the MediaEval.
[42]
Christina Boididou, Symeon Papadopoulos, Yiannis Kompatsiaris, Steve Schifferes, and Nic Newman. 2014. Challenges of computational verification in social multimedia. In Proceedings of the WWW.
[43]
Yazan Boshmaf, Ildar Muslukhov, Konstantin Beznosov, and Matei Ripeanu. 2011. The socialbot network: When bots socialize for fame and money. In Proceedings of the ACSAC.
[44]
Paul R. Brewer, Dannagal Goldthwaite Young, and Michelle Morreale. 2013. The impact of real news about “fake news”: Intertextual processes and political satire. International Journal of Public Opinion Research 25, 3 (2013), 323--343.
[45]
Ceren Budak, Divyakant Agrawal, and Amr El Abbadi. 2011. Limiting the spread of misinformation in social networks. In Proceedings of the WWW.
[46]
Ceren Budak, Sharad Goel, and Justin M. Rao. 2016. Fair and balanced? Quantifying media bias through crowdsourced content analysis. In Pub. Op. Quart. 80, S1 (2016), 250--271.
[47]
Cody Buntain and Jennifer Golbeck. 2017. I want to believe: Journalists and crowdsourced accuracy assessments in Twitter. Retrieved from arXiv preprint arXiv:1705.01613.
[48]
Clint Burfoot and Timothy Baldwin. 2009. Automatic satire detection: Are you having a laugh? In Proceedings of the ACL-IJCNLP.
[49]
Judee K. Burgoon, J. P. Blair, Tiantian Qin, and Jay F. Nunamaker Jr. 2003. Detecting deception through linguistic analysis. In Proceedings of the ISI.
[50]
W. Joseph Campbell. 2001. Yellow Journalism: Puncturing the Myths, Defining the Legacies. Greenwood Publishing Group.
[51]
Carlos Castillo, Marcelo Mendoza, and Barbara Poblete. 2011. Information credibility on Twitter. In Proceedings of the WWW.
[52]
Meeyoung Cha, Hamed Haddadi, Fabricio Benevenuto, and P. Krishna Gummadi. 2010. Measuring user influence in Twitter: The million follower fallacy. In Proceedings of the ICWSM.
[53]
Abhijnan Chakraborty, Bhargavi Paranjape, Sourya Kakarla, and Niloy Ganguly. 2016. Stop clickbait: Detecting and preventing clickbaits in online news media. In Proceedings of the ASONAM.
[54]
Cheng Chen, Kui Wu, Venkatesh Srinivasan, and Xudong Zhang. 2013. Battling the internet water army: Detection of hidden paid posters. In Proceedings of the ASONAM.
[55]
Xinran Chen, Sei-Ching Joanna Sin, Yin-Leng Theng, and Chei Sian Lee. 2015. Why do social media users share misinformation? In Proceedings of the 15th ACM/IEEE-CS Joint Conference on Digital Libraries. 111--114.
[56]
Yimin Chen, Niall J Conroy, and Victoria L Rubin. 2015. Misleading online content: Recognizing clickbait as false news. In Proceedings of the WMDD.
[57]
Yoke Yie Chen, Suet-Peng Yong, and Adzlan Ishak. 2014. Email hoax-detection system using levenshtein distance method. In JCP 9, 2 (2014), 441--446.
[58]
Michael Conover, Jacob Ratkiewicz, Matthew R. Francisco, Bruno Gonçalves, Filippo Menczer, and Alessandro Flammini. 2011. Political polarization on Twitter. In Proceedings of the ICWSM.
[59]
Mauro Conti, Daniele Lain, Riccardo Lazzeretti, Giulio Lovisotto, and Walter Quattrociocchi. 2017. It’s always April Fools’ Day! On the difficulty of social network misinformation classification via propagation features. In Proceedings of the IEEE WIFS.
[60]
Anh Dang, Abidalrahman Moh’d, Evangelos Milios, and Rosane Minghim. 2016. What is in a rumour: Combined visual analysis of rumour flow and user activity. In Proceedings of the CGI.
[61]
Anh Dang, Michael Smit, Abidalrahman Moh’d, Rosane Minghim, and Evangelos Milios. 2016. Toward understanding how users respond to rumours in social media. In Proceedings of the ASONAM.
[62]
Michela Del Vicario, Alessandro Bessi, Fabiana Zollo, Fabio Petroni, Antonio Scala, Guido Caldarelli, H. Eugene Stanley, and Walter Quattrociocchi. 2016. The spreading of misinformation online. In Proceedings of the National Academy of Sciences.
[63]
Benjamin Doerr, Mahmoud Fouz, and Tobias Friedrich. 2012. Why rumors spread so quickly in social networks. In Communications of the ACM 55, 6 (2012), 70--75.
[64]
Rob Ennals, Beth Trushkowsky, and John Mark Agosta. 2010. Highlighting disputed claims on the web. In Proceedings of the WWW.
[65]
European Union. 2018. General Data Protection Regulation. Retrieved from https://gdpr-info.eu/.
[66]
Lidan Fan, Zaixin Lu, Weili Wu, Bhavani Thuraisingham, Huan Ma, and Yuanjun Bi. 2013. Least cost rumor blocking in social networks. In Proceedings of the ICDCS.
[67]
Mehrdad Farajtabar, Jiachen Yang, Xiaojing Ye, Huan Xu, Rakshit Trivedi, Elias Khalil, Shuang Li, Le Song, and Hongyuan Zha. 2017. Fake news mitigation via point process based intervention. In Proceedings of the 34th International Conference on Machine Learning. 1097--1106.
[68]
Lauren Feldman. 2011. Partisan differences in opinionated news perceptions: A test of the hostile media effect. Political Behavior 33, 3 (2011), 407--432.
[69]
Mark Fenster. 1999. Conspiracy Theories: Secrecy and Power in American Culture. University of Minnesota Press.
[70]
Emilio Ferrara, Onur Varol, Filippo Menczer, and Alessandro Flammini. 2016. Detection of promoted social media campaigns. In Proceedings of the ICWSM.
[71]
Samantha Finn, Panagiotis Takis Metaxas, and Eni Mustafaraj. 2014. Investigating Rumor Propagation with TwitterTrails. arXiv preprint arXiv:1411.3550.
[72]
Adrien Friggeri, Lada A. Adamic, Dean Eckles, and Justin Cheng. 2014. Rumor cascades. In Proceedings of the ICWSM.
[73]
Georgios Giasemidis, Colin Singleton, Ioannis Agrafiotis, Jason R. C. Nurse, Alan Pilgrim, Chris Willis, and Danica Vukadinovic Greetham. 2016. Determining the veracity of rumours on Twitter. In Proceedings of the SocInfo.
[74]
Jennifer Golbeck and Derek L. Hansen. 2014. A method for computing political preference among Twitter followers. Social Networks 36 (2014), 177--184.
[75]
Aditi Gupta and Ponnurangam Kumaraguru. 2012. Credibility ranking of tweets during high impact events. In Proceedings of the PSOSM.
[76]
Aditi Gupta, Ponnurangam Kumaraguru, Carlos Castillo, and Patrick Meier. 2014. Tweetcred: Real-time credibility assessment of content on Twitter. In Proceedings of the SocInfo.
[77]
Aditi Gupta, Hemank Lamba, and Ponnurangam Kumaraguru. 2013. $1.00 per rt# bostonmarathon# prayforboston: Analyzing fake content on Twitter. In Proceedings of the APWG eCrime researchers summit. 1--12.
[78]
Aditi Gupta, Hemank Lamba, Ponnurangam Kumaraguru, and Anupam Joshi. 2013. Faking Sandy: Characterizing and identifying fake images on Twitter during Hurricane Sandy. In Proceedings of the WWW.
[79]
Sardar Hamidian and Mona T. Diab. 2016. Rumor identification and belief investigation on Twitter. In Proceedings of the NAACL-HLT.
[80]
Jeffrey T. Hancock, Lauren E. Curry, Saurabh Goorha, and Michael Woodworth. 2007. On lying and being lied to: A linguistic analysis of deception in computer-mediated communication. Discourse Processes 45, 1 (2007), 1--23.
[81]
Naeemul Hassan, Afroza Sultana, You Wu, Gensheng Zhang, Chengkai Li, Jun Yang, and Cong Yu. 2014. Data in, fact out: Automated monitoring of facts by FactWatcher. In Proceedings of the VLDB Endowment 7, 13 (2014), 1557--1560.
[82]
Zaobo He, Zhipeng Cai, and Xiaoming Wang. 2015. Modeling propagation dynamics and developing optimized countermeasures for rumor spreading in online social networks. In Proceedings of the ICDCS.
[83]
Simon Hegelich and Dietmar Janetzko. 2016. Are social bots on Twitter political actors? Empirical evidence from a Ukrainian social botnet. In Proceedings of the ICWSM.
[84]
Steven Heller. 2014. Bat Boy, Hillary Clinton’s alien baby, and a tabloid’s glorious legacy. Retrieved from https://www.theatlantic.com/entertainment/archive/2014/10/the-ingenious-sensationalism-of-the-weekly-world-new/381525/.
[85]
Eliot Higgins. 2016. Fake news is spiraling out of control—and it is up to all of us to stop it. Retrieved from https://www.ibtimes.co.uk/fake-news-spiralling-out-control-it-all-us-stop-it-1596911.
[86]
Gabriel Emile Hine, Jeremiah Onaolapo, Emiliano De Cristofaro, Nicolas Kourtellis, Ilias Leontiadis, Riginos Samaras, Gianluca Stringhini, and Jeremy Blackburn. 2017. Kek, cucks, and god emperor Trump: A measurement study of 4chan’s politically incorrect forum and its effects on the web. In Proceedings of the ICWSM.
[87]
Tad Hogg and Kristina Lerman. 2012. Social dynamics of Digg. EPJ Data Sci 1, 1 (2012), 5.
[88]
Benjamin D. Horne and Sibel Adali. 2017. This just in: Fake news packs a lot in title, uses simpler, repetitive content in text body, more similar to satire than real news. In Proceedings of the ICWSM Workshop.
[89]
P. Howard, B. Kollanyi, and S. C. Woolley. 2016. Bots and automation over Twitter during the second US presidential debate. In Data Memo 2016.2. Oxford, UK: Project on Computational Propaganda.
[90]
Philip N. Howard and Bence Kollanyi. 2016. Bots,# StrongerIn, and# Brexit: Computational propaganda during the UK-EU referendum. Retrieved from arXiv preprint arXiv:1606.06356.
[91]
Y. Linlin Huang, Kate Starbird, Mania Orand, Stephanie A. Stanek, and Heather T. Pedersen. 2015. Connected through crisis: Emotional proximity and the spread of misinformation online. In Proceedings of the CSCW.
[92]
Sarah J. Jackson and Brooke Foucault Welles. 2015. Hijacking# myNYPD: Social media dissent and networked counterpublics. Journal of Communication 65, 6 (2015), 932--952.
[93]
Eva Jaho, Efstratios Tzoannos, Aris Papadopoulos, and Nikos Sarris. 2014. Alethiometer: A framework for assessing trustworthiness and content validity in social media. In Proceedings of the WWW.
[94]
Fang Jin, Edward Dougherty, Parang Saraf, Yang Cao, and Naren Ramakrishnan. 2013. Epidemiological modeling of news and rumors on Twitter. In Proceedings of the SNA-KDD.
[95]
Fang Jin, Wei Wang, Liang Zhao, Edward Dougherty, Yang Cao, Chang-Tien Lu, and Naren Ramakrishnan. 2014. Misinformation propagation in the age of Twitter. IEEE Computer 47, 12 (2014), 90--94.
[96]
Zhiwei Jin, Juan Cao, Han Guo, Yongdong Zhang, Yu Wang, and Jiebo Luo. 2017. Rumor detection on Twitter pertaining to the 2016 US presidential election. Retrieved from arXiv preprint arXiv:1701.06250.
[97]
Zhiwei Jin, Juan Cao, Yu-Gang Jiang, and Yongdong Zhang. 2014. News credibility evaluation on microblog with a hierarchical propagation model. In Proceedings of the ICDM.
[98]
Zhiwei Jin, Juan Cao, Jiebo Luo, and Yongdong Zhang. 2016. Image credibility analysis with effective domain transferred deep networks. Retrieved from arXiv preprint arXiv:1611.05328.
[99]
Zhiwei Jin, Juan Cao, Yongdong Zhang, and Jiebo Luo. 2016. News verification by exploiting conflicting social viewpoints in microblogs. In Proceedings of the AAAI.
[100]
Zhiwei Jin, Juan Cao, Yongdong Zhang, Jianshe Zhou, and Qi Tian. 2016. Novel visual and statistical image features for microblogs news verification. IEEE transactions on Multimedia 19, 3 (2016), 598--608.
[101]
Garth S. Jowett and Victoria O’Donnell. 2014. Propaganda 8 Persuasion. Sage.
[102]
Jong-Hyun Kim and Gee-Woo Bock. 2011. A study on the factors affecting the behavior of spreading online rumors: Focusing on the rumor recipient’s emotions. In Proceedings of the PACIS.
[103]
Gary King, Jennifer Pan, and Margaret E. Roberts. 2016. How the Chinese government fabricates social media posts for strategic distraction, not engaged argument. American Political Science Review 111, 3 (2016), 484--501.
[104]
Richard E. Kopp. 1962. Pontryagin maximum principle. Mathematics in Science and Engineering 5 (1962), 255--279.
[105]
Moshe Koppel, Jonathan Schler, and Elisheva Bonchek-Dokow. 2007. Measuring differentiability: Unmasking pseudonymous authors. Journal of Machine Learning Research 8 (2007), 1261--1276.
[106]
Bhushan Kotnis and Joy Kuri. 2014. Cost effective rumor containment in social networks. Retrieved from arXiv preprint arXiv:1403.6315.
[107]
K. P. Krishna Kumar and G. Geethakumari. 2014. Detecting misinformation in online social networks using cognitive psychology. In Proceedings of the HCIS.
[108]
Srijan Kumar and Neil Shah. 2018. False information on web and social media: A survey. Retrieved from arXiv preprint arXiv:1804.08559.
[109]
Srijan Kumar, Robert West, and Jure Leskovec. 2016. Disinformation on the web: Impact, characteristics, and detection of Wikipedia hoaxes. In Proceedings of the WWW.
[110]
Sejeong Kwon, Meeyoung Cha, and Kyomin Jung. 2017. Rumor detection over varying time windows. In PloS One 12, 1 (2017), e0168344.
[111]
Sejeong Kwon, Meeyoung Cha, Kyomin Jung, Wei Chen, and Yajun Wang. 2013. Aspects of rumor spreading on a microblog network. In Proceedings of the International Conference on Social Informatics. 299--308.
[112]
Sejeong Kwon, Meeyoung Cha, Kyomin Jung, Wei Chen, and Yajun Wang. 2013. Prominent features of rumor propagation in online social media. In Proceedings of the ICDM.
[113]
Quoc Le and Tomas Mikolov. 2014. Distributed representations of sentences and documents. In Proceedings of the ICML.
[114]
Seow Ting Lee. 2004. Lying to tell the truth: Journalists and the social context of deception. Mass Communication 8 Society 7, 1 (2004), 97--120.
[115]
Gang Liang, Wenbo He, Chun Xu, Liangyin Chen, and Jinquan Zeng. 2015. Rumor identification in microblogging systems based on users’ behavior. In IEEE Trans. Comput. Soc. Syst. 2, 3 (2015), 99--108.
[116]
Xiaomo Liu, Armineh Nourbakhsh, Quanzhi Li, Rui Fang, and Sameena Shah. 2015. Real-time rumor debunking on Twitter. In Proceedings of the CIKM.
[117]
Jing Ma, Wei Gao, Prasenjit Mitra, Sejeong Kwon, Bernard J. Jansen, Kam-Fai Wong, and Meeyoung Cha. 2016. Detecting rumors from microblogs with recurrent neural networks. In Proceedings of the IJCAI.
[118]
Jing Ma, Wei Gao, Zhongyu Wei, Yueming Lu, and Kam-Fai Wong. 2015. Detect rumors using time series of social context information on microblogging websites. In Proceedings of the CIKM.
[119]
Jiang Ma and Dandan Li. 2016. Rumor spreading in online-offline social networks. In PACIS. 173.
[120]
Cédric Maigrot, Vincent Claveau, Ewa Kijak, and Ronan Sicre. 2016. MediaEval 2016: A multimodal system for the verifying multimedia use task. In Proceedings of the MediaEval.
[121]
Regina Marchi. 2012. With Facebook, blogs, and fake news, teens reject journalistic “objectivity.”
[122]
Drew B. Margolin, Aniko Hannak, and Ingmar Weber. 2018. Political fact-checking on Twitter: When do corrections have an effect? Political Communication 35, 2 (2018), 196--219.
[123]
Richard McCreadie, Craig Macdonald, and Iadh Ounis. 2015. Crowdsourced rumour identification during emergencies. In Proceedings of the WWW.
[124]
Medium. 2018. Different examples of propaganda in social media. Retrieved from https://medium.com/@VasquezNnenna/different-examples-of-propaganda-in-social-media-758fc98d021d.
[125]
Marcelo Mendoza, Barbara Poblete, and Carlos Castillo. 2010. Twitter under crisis: Can we trust what we RT? In Proceedings of the SOMA-KDD.
[126]
Todor Mihaylov, Georgi Georgiev, and Preslav Nakov. 2015. Finding opinion manipulation trolls in news community forums. In Proceedings of the CoNLL.
[127]
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S. Corrado, and Jeff Dean. 2013. Distributed representations of words and phrases and their compositionality. In Proceedings of the NIPS.
[128]
Tanushree Mitra and Eric Gilbert. 2015. CREDBANK: A large-scale social media corpus with associated credibility annotations. In Proceedings of the ICWSM.
[129]
Michael Molloy and Bruce Reed. 1995. A critical point for random graphs with a given degree sequence. In Rand. Struct. 8 Algor. 6, 2--3 (1995), 161--180.
[130]
Meredith Ringel Morris, Scott Counts, Asta Roseway, Aaron Hoff, and Julia Schwarz. 2012. Tweeting is believing?: Understanding microblog credibility perceptions. In Proceedings of the CSCW.
[131]
Akiyo Nadamoto, Mai Miyabe, and Eiji Aramaki. 2013. Analysis of microblog rumors and correction texts for disaster situations. In Proceedings of the iiWAS.
[132]
Kingsley Napley. 2017. The impact of fake news: Politics. Retrieved from https://www.lexology.com/library/detail.aspx?g=6c63091c-e81f-4512-8c47-521eadce65ff.
[133]
Dung T. Nguyen, Nam P. Nguyen, and My T. Thai. 2012. Sources of misinformation in online social networks: Who to suspect? In Proceedings of the MILCOM.
[134]
Nam P. Nguyen, Guanhua Yan, My T. Thai, and Stephan Eidenbenz. 2012. Containment of misinformation spread in online social networks. In Proceedings of the WebSci.
[135]
Onook Oh, Kyounghee Hazel Kwon, and H. Raghav Rao. 2010. An exploration of social media in extreme events: Rumor theory and Twitter during the Haiti earthquake. In Proceedings of the ICIS.
[136]
Pinar Ozturk, Huaye Li, and Yasuaki Sakamoto. 2015. Combating rumor spread on social media: The effectiveness of refutation and warning. In Proceedings of the HICSS.
[137]
Souneil Park, Seungwoo Kang, Sangyoung Chung, and Junehwa Song. 2009. NewsCube: Delivering multiple aspects of news to mitigate media bias. In Proceedings of the CHI.
[138]
Cecilia Pasquini, Carlo Brunetta, Andrea F. Vinci, Valentina Conotter, and Giulia Boato. 2015. Towards the verification of image integrity in online news. In Proceedings of the ICMEW.
[139]
Gordon Pennycook and David G. Rand. 2017. The implied truth effect: Attaching warnings to a subset of fake news stories increases perceived accuracy of stories without warnings. Available at SSRN: https://ssrn.com/abstract=3035384
[140]
Warren A. Peterson and Noel P. Gist. 1951. Rumor and public opinion. In Am. J. Soc. 57, 2 (1951), 159--167.
[141]
Yabin Ping, Zhenfu Cao, and Haojin Zhu. 2014. Sybil-aware least cost rumor blocking in social networks. In Proceedings of the GLOBECOM.
[142]
Peter Pirolli, Evelin Wollny, and Bongwon Suh. 2009. So you know you’re getting the best possible information: A tool that increases Wikipedia credibility. In Proceedings of the CHI. ACM.
[143]
Politifact. 2017. The more outrageous, the better: How clickbait ads make money for fake news sites. Retrieved from http://www.politifact.com/punditfact/article/2017/oct/04/more-outrageous-better-how-clickbait-ads-make-mone/.
[144]
Martin Potthast, Johannes Kiesel, Kevin Reinartz, Janek Bevendorff, and Benno Stein. 2017. A stylometric inquiry into hyperpartisan and fake news. Retrieved from arXiv preprint arXiv:1702.05638.
[145]
Martin Potthast, Sebastian Köpsel, Benno Stein, and Matthias Hagen. 2016. Clickbait detection. In Proceedings of the ECIR.
[146]
Liza Potts and Angela Harrison. 2013. Interfaces as rhetorical constructions: Reddit and 4chan during the Boston Marathon bombings. In Proceedings of the SIGDOC.
[147]
Vahed Qazvinian, Emily Rosengren, Dragomir R. Radev, and Qiaozhu Mei. 2011. Rumor has it: Identifying misinformation in microblogs. In Proceedings of the EMNLP.
[148]
Yumeng Qin, Dominik Wurzer, Victor Lavrenko, and Cunchen Tang. 2016. Spotting rumors via novelty detection. Retrieved from arXiv preprint arXiv:1611.06322.
[149]
Suhas Ranganath, Xia Hu, Jiliang Tang, and Huan Liu. 2016. Understanding and identifying advocates for political campaigns on social media. In Proceedings of the WSDM.
[150]
Jacob Ratkiewicz, Michael Conover, Mark R. Meiss, Bruno Gonçalves, Alessandro Flammini, and Filippo Menczer. 2011. Detecting and tracking political abuse in social media. In Proceedings of the ICWSM.
[151]
Paul Resnick, Samuel Carton, Souneil Park, Yuncheng Shen, and Nicole Zeffer. 2014. Rumorlens: A system for analyzing the impact of rumors and corrections in social media. In Proceedings of the Computational Journalism Conference.
[152]
Alex Hern, Robert Booth, Matthew Weaver, and Shaun Walker. 2017. Russia used hundreds of fake accounts to tweet about Brexit, data shows. Retrieved from https://www.theguardian.com/world/2017/nov/14/how-400-russia-run-fake-accounts-posted-bogus-brexit-tweets.
[153]
Stephen Robertson, Hugo Zaragoza. 2009. The probabilistic relevance framework: BM25 and beyond. In Found. Trends® Inform. Ret. 3, 4 (2009), 333--389.
[154]
Victoria L. Rubin, Niall J. Conroy, and Yimin Chen. 2015. Towards news verification: Deception detection methods for news discourse. In Hawaii International Conference on System Sciences.
[155]
Victoria L. Rubin, Niall J. Conroy, Yimin Chen, and Sarah Cornwell. 2016. Fake news or truth? Using satirical cues to detect potentially misleading news. In Proceedings of the NAACL-HLT.
[156]
Diego Saez-Trumper. 2014. Fake tweet buster: A webtool to identify users promoting fake news on Twitter. In Proceedings of the HT.
[157]
Eunsoo Seo, Prasant Mohapatra, and Tarek Abdelzaher. 2012. Identifying rumors and their sources in social networks. In Proceedings of SPIE Defense, Security, and Sensing.
[158]
Devavrat Shah and Tauhid Zaman. 2011. Rumors in a network: Who’s the culprit? In IEEE Trans. Inform. Theory. 57, 8 (2011), 5163--5181.
[159]
Scott Shane. 2017. The fake Americans Russia created to influence the election. Retrieved from https://www.nytimes.com/2017/09/07/us/politics/russia-facebook-twitter-election.html.
[160]
Chengcheng Shao, Giovanni Luca Ciampaglia, Alessandro Flammini, and Filippo Menczer. 2016. Hoaxy: A platform for tracking online misinformation. In Proceedings of the WWW.
[161]
Jieun Shin, Lian Jian, Kevin Driscoll, and François Bar. 2016. Political rumoring on Twitter during the 2012 US presidential election: Rumor diffusion and correction. In New Media 8 Soc. 19, 8 (2016), 1214--1235.
[162]
Hokky Situngkir. 2011. Spread of hoax in social media. In MPRA Paper 30674. Available at SSRN: https://ssrn.com/abstract=1831202
[163]
Snopes. 2013. Boston Marathon bombing rumors. Retrieved from https://www.snopes.com/fact-check/boston-marathon-bombing-rumors/.
[164]
Snopes. 2017. Adam Sandler death hoax. Retrieved from https://www.snopes.com/fact-check/adam-sandler-death-hoax-2/.
[165]
Peter Snyder, Periwinkle Doerfler, Chris Kanich, and Damon McCoy. 2017. Fifteen minutes of unwanted fame: Detecting and characterizing doxing. In Proceedings of the IMC.
[166]
Emma S. Spiro, Sean Fitzhugh, Jeannette Sutton, Nicole Pierski, Matt Greczek, and Carter T. Butts. 2012. Rumoring during extreme events: A case study of Deepwater Horizon 2010. In Proceedings of the WebSci.
[167]
Kate Starbird. 2017. Examining the alternative media ecosystem through the production of alternative narratives of mass shooting events on Twitter. In Proceedings of the ICWSM.
[168]
Kate Starbird, Jim Maddock, Mania Orand, Peg Achterman, and Robert M. Mason. 2014. Rumors, false flags, and digital vigilantes: Misinformation on Twitter after the 2013 Boston Marathon bombing. In Proceedings of the iConference.
[169]
Kate Starbird, Emma Spiro, Isabelle Edwards, Kaitlyn Zhou, Jim Maddock, and Sindhuja Narasimhan. 2016. Could this be true?: I think so! Expressed uncertainty in online rumoring. In Proceedings of the CHI.
[170]
Eugenio Tacchini, Gabriele Ballarin, Marco L. Della Vedova, Stefano Moret, and Luca de Alfaro. 2017. Some like it hoax: Automated fake news detection in social networks. In Proceedings of the SoGood Workshop.
[171]
Marcella Tambuscio, Giancarlo Ruffo, Alessandro Flammini, and Filippo Menczer. 2015. Fact-checking effect on viral hoaxes: A model of misinformation spread in social networks. In Proceedings of the WWW.
[172]
The Independent. 2017. St Petersburg “troll farm” had 90 dedicated staff working to influence US election campaign. Retrieved from https://ind.pn/2yuCQdy.
[173]
The New Yorker. 2017. How the NRA manipulates gun owners and the media. Retrieved from https://www.newyorker.com/news/news-desk/how-the-nra-manipulates-gun-owners-and-the-media.
[174]
Robert Thomson, Naoya Ito, Hinako Suda, Fangyu Lin, Yafei Liu, Ryo Hayasaka, Ryuzo Isochi, and Zian Wang. 2012. Trusting tweets: The Fukushima disaster and information source credibility on Twitter. In Proceedings of the ISCRAM.
[175]
Graig Timberg. 2017. Spreading fake news becomes standard practice for governments across the world. Retrieved from https://www.washingtonpost.com/news/the-switch/wp/2017/07/17/spreading-fake-news-becomes-standard-practice-for-governments-across-the-world/.
[176]
Guangmo Tong, Weili Wu, Ling Guo, Deying Li, Cong Liu, Bin Liu, and Ding-Zhu Du. 2017. An efficient randomized algorithm for rumor blocking in online social networks. In Proceedings of the INFOCOM.
[177]
Rudra M. Tripathy, Amitabha Bagchi, and Sameep Mehta. 2010. A study of rumor control strategies on social networks. In Proceedings of the CIKM.
[178]
US House of Representatives. 2018. Exposing Russia’s effort to sow discord online: The Internet Research Agency and advertisements. Retrieved from https://democrats-intelligence.house.gov/social-media-content/.
[179]
Svitlana Volkova, Kyle Shaffer, Jin Yea Jang, and Nathan Hodas. 2017. 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), 647--653.
[180]
Soroush Vosoughi and Deb Roy. 2015. A human-machine collaborative system for identifying rumors on Twitter. In Proceedings of the ICDMW.
[181]
Soroush Vosoughi, Deb Roy, and Sinan Aral. 2018. The spread of true and false news online. Science 359, 6380 (2018), 1146--1151.
[182]
Marin Vuković, Krešimir Pripužić, and Hrvoje Belani. 2009. An intelligent automatic hoax detection system. In Proceedings of the KES.
[183]
Biao Wang, Ge Chen, Luoyi Fu, Li Song, Xinbing Wang, and Xue Liu. 2016. DRIMUX: Dynamic rumor influence minimization with user experience in social networks. In Proceedings of the AAAI.
[184]
Nan Wang, Li Yu, Ni Ding, and Dong Yang. 2014. Containment of misinformation propagation in online social networks with given deadline. In Proceedings of the PACIS.
[185]
William Yang Wang. 2017. “Liar, liar pants on fire”: A new benchmark dataset for fake news detection. Retrieved from arXiv preprint arXiv:1705.00648.
[186]
Zhaoxu Wang, Wenxiang Dong, Wenyi Zhang, and Chee Wei Tan. 2014. Rumor source detection with multiple observations: Fundamental limits and algorithms. ACM SIGMETRICS Performance Evaluation Review 42, 1 (2014), 1--13.
[187]
Wikipedia. 2017. Murder of Seth Rich. Retrieved from https://en.wikipedia.org/wiki/Murder_of_Seth_Rich.
[188]
Wikipedia. 2017. Pizzagate conspiracy theory. Retrieved from https://en.wikipedia.org/wiki/Pizzagate_conspiracy_theory.
[189]
Wikipedia. 2018. Sandy Hook Elementary School shooting conspiracy theories. Retrieved from https://en.wikipedia.org/wiki/Sandy_Hook_Elementary_School_shooting_conspiracy_theories.
[190]
Sam Wineburg and Sarah McGrew. 2017. Lateral reading: Reading less and learning more when evaluating digital information. Available at https://ssrn.com/abstract=3048994
[191]
Felix Ming Fai Wong, Chee Wei Tan, Soumya Sen, and Mung Chiang. 2013. Quantifying political leaning from tweets and retweets. In Proceedings of the ICWSM.
[192]
Samuel C. Woolley. 2016. Automating power: Social bot interference in global politics. First Mond. 21, 4 (2016).
[193]
Ke Wu, Song Yang, and Kenny Q. Zhu. 2015. False rumors detection on Sina Weibo by propagation structures. In Proceedings of the ICDE.
[194]
Liang Wu, Jundong Li, Xia Hu, and Huan Liu. 2017. Gleaning wisdom from the past: Early detection of emerging rumors in social media. In Proceedings of the SDM.
[195]
Fan Yang, Yang Liu, Xiaohui Yu, and Min Yang. 2012. Automatic detection of rumor on Sina Weibo. In Proceedings of the KDD.
[196]
Xinxin Yang, Bo-Chiuan Chen, Mrinmoy Maity, and Emilio Ferrara. 2016. Social politics: Agenda setting and political communication on social media. In Proceedings of the SocInfo.
[197]
Xiaofeng Yang, Qian Yang, and Christo Wilson. 2015. Penny for your thoughts: Searching for the 50 cent party on Sina Weibo. In Proceedings of the ICWSM.
[198]
Zhifan Yang, Chao Wang, Fan Zhang, Ying Zhang, and Haiwei Zhang. 2015. Emerging rumor identification for social media with hot topic detection. In Proceedings of the WISA.
[199]
Savvas Zannettou, Barry Bradlyn, Emiliano De Cristofaro, Michael Sirivianos, Gianluca Stringhini, Haewoon Kwak, and Jeremy Blackburn. 2018. What is Gab? A bastion of free speech or an alt-right echo chamber? In Proceedings of the WWW Companion.
[200]
Savvas Zannettou, Tristan Caulfield, Emiliano De Cristofaro, Nicolas Kourtellis, Ilias Leontiadis, Michael Sirivianos, Gianluca Stringhini, and Jeremy Blackburn. 2017. The web centipede: Understanding how web communities influence each other through the lens of mainstream and alternative news sources. In Proceedings of the IMC.
[201]
Savvas Zannettou, Tristan Caulfield, Emiliano De Cristofaro, Michael Sirivianos, Gianluca Stringhini, and Jeremy Blackburn. 2018. Disinformation warfare: Understanding state-sponsored trolls on Twitter and their influence on the web. Retrieved from arXiv preprint arXiv:1801.09288.
[202]
Savvas Zannettou, Sotirios Chatzis, Konstantinos Papadamou, and Michael Sirivianos. 2018. The good, the bad and the bait: Detecting and characterizing clickbait on YouTube. In Proceedings of the IEEE DLS.
[203]
Amy X. Zhang, Aditya Ranganathan, Sarah Emlen Metz, Scott Appling, Connie Moon Sehat, Norman Gilmore, Nick B. Adams, Emmanuel Vincent, Jennifer Lee, Martin Robbins, et al. 2018. A structured response to misinformation: Defining and annotating credibility indicators in news articles. In Proceedings of the Companion of The Web Conference. 603--612.
[204]
Qiao Zhang, Shuiyuan Zhang, Jian Dong, Jinhua Xiong, and Xueqi Cheng. 2015. Automatic detection of rumor on social network. In Proceedings of the NLPCC.
[205]
Zhe Zhao, Paul Resnick, and Qiaozhu Mei. 2015. Enquiring minds: Early detection of rumors in social media from enquiry posts. In Proceedings of the WWW.
[206]
Daniel Xiaodan Zhou, Paul Resnick, and Qiaozhu Mei. 2011. Classifying the political leaning of news articles and users from user votes. In Proceedings of the ICWSM.
[207]
Xing Zhou, Juan Cao, Zhiwei Jin, Fei Xie, Yu Su, Dafeng Chu, Xuehui Cao, and Junqiang Zhang. 2015. Real-time news certification system on Sina Weibo. In Proceedings of the WWW.
[208]
Fabiana Zollo, Alessandro Bessi, Michela Del Vicario, Antonio Scala, Guido Caldarelli, Louis Shekhtman, Shlomo Havlin, and Walter Quattrociocchi. 2017. Debunking in a world of tribes. In PloS One 12, 7 (2017), e0181821.
[209]
Fabiana Zollo, Petra Kralj Novak, Michela Del Vicario, Alessandro Bessi, Igor Mozetič, Antonio Scala, Guido Caldarelli, and Walter Quattrociocchi. 2015. Emotional dynamics in the age of misinformation. In PloS One 10, 9 (2017), e0138740.
[210]
Arkaitz Zubiaga, Maria Liakata, Rob Procter, Kalina Bontcheva, and Peter Tolmie. 2015. Towards detecting rumours in social media. In Proceedings of the AAAIW.
[211]
Arkaitz Zubiaga, Maria Liakata, Rob Procter, Geraldine Wong Sak Hoi, and Peter Tolmie. 2016. Analysing how people orient to and spread rumours in social media by looking at conversational threads. In PloS One 11, 3 (2016), e0150989.

Cited By

View all
  • (2024)Behind Every Good Lie Is a Grain of TruthJournal of Information Policy10.5325/jinfopoli.14.2024.000214Online publication date: 13-Mar-2024
  • (2024)Análisis sobre desinformación política en los discursos de líderes del Gobierno español vía XRevista Latina de Comunicación Social10.4185/rlcs-2025-2308(1-24)Online publication date: 3-Jul-2024
  • (2024)Transforming Social Media Marketing Through Deepfake TechnologyNavigating the World of Deepfake Technology10.4018/979-8-3693-5298-4.ch022(431-453)Online publication date: 26-Jul-2024
  • Show More Cited By

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image Journal of Data and Information Quality
Journal of Data and Information Quality  Volume 11, Issue 3
Special Issue on Combating Digital Misinformation and Disinformation and On the Horizon
September 2019
160 pages
ISSN:1936-1955
EISSN:1936-1963
DOI:10.1145/3331015
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 May 2019
Accepted: 01 January 2019
Revised: 01 December 2018
Received: 01 April 2018
Published in JDIQ Volume 11, Issue 3

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. Survey
  2. clickbait
  3. fake news
  4. false information
  5. hoaxes
  6. rumors
  7. social networks

Qualifiers

  • Research-article
  • Research
  • Refereed

Funding Sources

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)959
  • Downloads (Last 6 weeks)93
Reflects downloads up to 21 Dec 2024

Other Metrics

Citations

Cited By

View all
  • (2024)Behind Every Good Lie Is a Grain of TruthJournal of Information Policy10.5325/jinfopoli.14.2024.000214Online publication date: 13-Mar-2024
  • (2024)Análisis sobre desinformación política en los discursos de líderes del Gobierno español vía XRevista Latina de Comunicación Social10.4185/rlcs-2025-2308(1-24)Online publication date: 3-Jul-2024
  • (2024)Transforming Social Media Marketing Through Deepfake TechnologyNavigating the World of Deepfake Technology10.4018/979-8-3693-5298-4.ch022(431-453)Online publication date: 26-Jul-2024
  • (2024)PAY OR LEAVE? THE ROLE OF SOCIAL MEDIA FATIGUE AND WILLINGNESS TO PAY TO AVOID FAKE NEWS IN SOCIAL NETWORKS USEJournal of Business Economics and Management10.3846/jbem.2024.2160425:3(516-530)Online publication date: 24-May-2024
  • (2024)Disinformation Detection: Developing a Categorical Framework Through Thematic AnalysisJournalism and Media10.3390/journalmedia50401165:4(1914-1924)Online publication date: 20-Dec-2024
  • (2024)Can Video Lectures on Enthymemes Improve Adult Learners Critical Thinking and Clickbait Detection Skills?Education Sciences10.3390/educsci1412128414:12(1284)Online publication date: 23-Nov-2024
  • (2024)Harnessing Machine Learning to Unveil Emotional Responses to Hateful Content on Social MediaComputers10.3390/computers1305011413:5(114)Online publication date: 29-Apr-2024
  • (2024)ENVIRONMENTAL ISSUES ON TIKTOK: TOPICS AND CLAIMS OF MISLEADING INFORMATIONJournal of Baltic Science Education10.33225/jbse/24.23.13123:1(131-150)Online publication date: 29-Feb-2024
  • (2024)Clickbait: Research, challenges and opportunities – A systematic literature reviewOnline Journal of Communication and Media Technologies10.30935/ojcmt/1526714:4(e202458)Online publication date: 2024
  • (2024)COVID-19’s myths, facts, concerning and obstinate posts on social network, and the mental health status of social network users in BangladeshPLOS Mental Health10.1371/journal.pmen.00000141:1(e0000014)Online publication date: 24-Jun-2024
  • Show More Cited By

View Options

Login options

Full Access

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format.

HTML Format

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media