Fake News: Possibility of Identification in Post-Truth Media Ecology System

Jan Kreft,

Monika Hapek


The main aim of the article is identification of the attitudes towards the processes of identification and verification of fake news in the environment of digital media. The subject of the research refers to the users’ attitudes towards fake news. As indicated by the research, the attitudes towards fake news are not unambiguous. About 2/3 of the respondents claim that they are not able to distinguish fake news from true information; only every twelfth respondent declares that they know tools for verification of information, although the research survey has been carried out among students of media management, journalism and marketing – students who deal with information in social media.

Słowa kluczowe: fake news, social media, information, trust

Berlo D.K., Lemert J.B., Mertz R.J., Dimensions for Evaluating the Acceptability of Message Sources, Public Opinion Quarterly” 1969, vol. 33(4), pp. 563–565.

Castillo C., Mendoza M., Poblete B., Information Credibility on Twitter, [in:] Proceedings of the 20th International Conference on World Wide Web, ACM, March 2011, pp. 675–684.

Celiński P., Postmedia. Cyfrowy kod i bazy danych, Wydawnictwo Uniwersytetu Marii Curie-Sodowskiej, Lublin 2013.

Chu Z., Gianvecchio S., Wang H., Jajodia S., Who Is Tweeting on Twitter: Human, Bot, or Cyborg?, [in:] Proceedings of the 26th Annual Computer Security Applications Conference, 2010, pp. 21–30.

Czarniawska-Joerges B., Exploring Complex Organizations: A Cultural Perspective, Sage, Thousand Oaks, CA 1992.

Douglas K., Ang C.S., Deravi F., Farewell to Truth? Conspiracy Theories and Fake News on Social Media, The Psychologist” 2017, vol. 30(36), pp. 36–42.

Ferrara E., Varol O., Davis C., Menczer F., Flammini A., The Rise of Social Bots, Communications of the ACM” 2016, vol. 59(7), pp. 96–104.

Gelfert A., Fake News: A Definition, “Informal Logic” 2018, vol. 38(1), pp. 84–117.

Ha S., Ahn J., Why Are You Sharing Others Tweets? The Impact of Argument Quality and Source Credibility on Information Sharing Behaviour, [in:] Proceedings of the International Conference on Information Systems (ICIS 2011).

Hanna R., Rohm A., Crittenden V.L., Were All Connected: The Power of the Social Media Ecosystem, Business Horizons” 2011, vol. 54(3), pp. 265–273.

Hunt A., Gentzkow M., Social Media and Fake News in the 2016 Election,Journal of Economic Perspectives” 2017, vol. 31(2), pp. 211–236.

Jain S., Sharma V., Kaushal R., Towards Automated Real-time Detection of Misinformation on Twitter, [in:] 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), September 2016, pp. 2015–2020.

Keyes R., The Post-truth Era: Dishonesty and Deception in Contemporary Life, St. Martins Press, New York 2004.

Khaldarova I., Pantti M., Fake News, Journalism Practice” 2016, vol. 10(7), pp. 891–901.

Kumar S., Villa R.A., Carley K.M., Identifying Bots that Spread Fake News, 2017, online sources: http://sbp-brims.org/2017/proceedings/papers/challenge_papers/IdentifyingBots.pdf [entered: 21.10.2019].

Lischka J.A., A Badge of Honor? How The New York Times Discredits President Trumps Fake News Accusations, Journalism Studies” 2017, pp. 1–18.

Lokot T., Diakopoulos N., News Bots: Automating News and Information Dissemination on Twitter, Digital Journalism” 2016, vol. 4(6), pp. 682–699.

Metzger M., The Study of Media Effects in the Era of Internet Communication, [in:] R.L. Nabi, M.B. Oliver (eds.), The Sage Handbook of Media Processes and Effects, Sage, Thousand Oaks, CA 2009, pp. 561–576.

Morris M.R., Counts S., Roseway A., Hoff A., Schwarz J., Tweeting Is Believing? Understanding Microblog Credibility Perceptions, [in:] Proceedings of the ACM 2012 Conference on Computer Supported Cooperative Work (CSCW2012), 2012, pp. 441–450.

Pennycook  G.,  Cannon  T.D.,  Rand  D.G.,  Prior  Exposure  Increases  Perceived  Accuracy  of Fake News: Social Science Research Network, 2017, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2958246 [entered: 6.02.2018].

Shao C., Ciampaglia G.L., Flammini A., Menczer F., Hoaxy: A Platform for Tracking Online Misinformation, [in:] Proceedings of the 25th International Conference Companion on World Wide Web, International World Wide Web Conferences Steering Committee, April 2016, pp. 745–750.

Vosoughi S., Automatic Detection and Verification of Rumors on Twitter (Doctoral dissertation, Massachusetts Institute of Technology 2015).

Woolley S., Automating Power: Social Bot Interference in Global Politics, First Monday” 2016, vol. 21(4).

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