Fake News Consumption: Comparison
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Please note this is a comparison between Version 1 by João Pedro Baptista and Version 2 by João Pedro Baptista.

This entry analyzes some of the psychological, partisan and ideological factors that influence the consumption of fake news. For a better understanding of the consumption of fake news, consult the review paper of the authors [1].

  • media consumption
  • fake news
  • social media
  • political ideology

1.I Fake News Controducsumption [1]

This review seeks to be an addition to the literature, and its main objective is to analyze the phenomenon of fake news from the perspective of the consumer and to understand the characteristics of fake news articles that motivate their viral spread and which factors are associated with the selection and consumption of fake news in an online environment, in the search to define a profile for the true consumer of online disinformation.

This review focuses on consumer motivations (user/reader) and the structure/presentation of fake news to ascertain the apparent success and proliferation of this type of online disinformation. The factors associated with the dynamics of social media (recommendation algorithms, echo chambers, filter bubbles, malicious social bots) that also contribute a lot to the spread of fake news, were not addressed. With this review, we intend to understand the phenomenon of isolated fake news, in an independent approach to the characteristics of the digital universe to which it belongs. Our goals are to identify the main factors that influence fake news’ belief and sharing and to identify differences and similarities between fake news and real news, in order to highlight the relevance of these characteristics for their dissemination. We know that some stories are more likely to go viral than others; that some headlines are more attractive, and that users tend to select information based on their party and ideological identity and on their social and psychological characteristics.

2. The Role of the Structure of Fake News

The way in which the structure (for example, from the images chosen, the format of the titles and the language used in the text) of fake news is presented can help explain the reasons for it becoming viral on social media. This analysis intends to focus only on these aspects of fake news, that is, on its formats, content and standards used. Heath (1996) showed that people have a preference for exaggeration, especially if the news is exaggeratedly bad, so (fake) news that presents accidents, disasters or crimes can generate greater emotional sharing [2]

The entire structure of fake news (title, body of text, language and images used) is designed by its creator to be widely shared and go viral. Fake news is created with the aim of proliferating on social media

[3]. Still, fake political news spreads quickly, like that regarding terrorism, natural disasters, urban legends or financial information

, exploring emotional aspects (use of language that evokes strong feelings, bizarre and shocking images or coverage of tragic, dramatic and exaggerated events) to capture the user's attention

[4]. Vosoughi et al. (2018) demonstrate that false content about politics was not only more widely disseminated, but also reached a larger number of people, compared to other subjects. Without specifying the category of false information, these authors showed that falsehood spreads faster than truthful content, stimulating different feelings in those who read it: disgust, fear or surprise[4]. On the other hand, Humprecht(2019) demonstrated that, unlike the USA and the United Kingdom (where online disinformation is mostly political and partisan), in Germany and Austria, sensationalist stories predominate over political content [5]. In an analysis of the fact-checkers in these four countries, the author found that online disinformation in English-speaking countries tends to target political actors, whereas in German-speaking countries, the main focus is immigrants, holding them responsible for current political, economic or social situations. For example, in Brazil and Portugal, one of the main targets of online disinformation is also corruption and politics [6][7] . Budak (2019) found that the topics covered during the American elections on Twitter by the traditional media are different compared to fake news agencies. Traditional news focused more on policies related to the economy, elections, women or the environment

. In addition, fake news also seeks to be persuasive by covering events or subjects with a strong ideological and party burden

[8]. Budak (2019) shows that the coverage of candidates (Hillary and Trump) from the fake news agency is different from the media. The most frequent words used in detected fake news, such as “sex”, ”death”, ”corrupt”, ”illegal”, ”alien” or ”lie”, they refer to sensational or outrageous content, unlike traditional media

. In fact, the belief in fake news is positively related to political ideology and partisanship

[8].

The literature has demonstrated, in fact, that the lexicon used by fake news is more informal and simple in detail and in technical production, not only in the title of the piece, but also throughout the text [9]. Several elements taken into account by the producers of fake news, such as simple and impressive messages, with attractive headlines that appeal to the feelings of the public, through clickbaiting, are essential for repeated disclosure

 . Several studies

[10]. These factors make the story not only more attractive, but also more persuasive [119].In a content analysis, Horne and Adali (2017) found that fake news articles can be distinguished from real news by their lexical coherence. “Real news articles are significantly longer than fake news articles and fake news articles use fewer technical words, smaller words, less punctuation, fewer quotes, and more lexical redundancy”[92]. The authors report that fake news needs lower levels of education to be interpreted.These characteristics allow us to verify that fake news also plays a persuasive role through mostly heuristic methods. In other words, fake news requires less effort and attention

 have shown that people are more likely to believe false information that confirms their pre-existing (political, ideological or religious) beliefs. People are more likely to accept or reject certain arguments, news or information, depending on their political beliefs. Most of the literature seems to indicate that conservatives or people on the political right are more likely to believe fake news than liberals or people on the left

[911][12]. The association of ideas and the reader’s interpretations may be less logical and based only on their titles, since fake titles have significantly more words, have too much content and exaggeration (through hyperbolic words) that resemble clickbait [913][1314]. Wiggins (2017) considers that the sensationalist and attractive way in which most fake news is presented fits into the peripheral route of persuasion, which “implies focusing on those elements not central to the argument or message, but paying more attention to how the message is presented”

. Uscinski et al. (2016) found that partisanship affects belief in a conspiracy theory and that party affiliation tends to assume different attitudes towards different conspiracy theories

[112], as opposed to the central route.

3. Who are Fake News consumers?

The belief, consumption and dissemination of fake news may be related to several aspects: for example, the growing distrust in the media

. Mainly, the tendency is for people to believe that it is political opposition that is related to conspiracy theories, rumors or illegal activities. However, Uscinski et al. (2016) suggest that both Democrats and Republicans are equally predisposed to accept conspiracy theories

[142]

. Still, the literature seems to indicate that ideologically right-wing people are more widely connected to conspiracy theories or are more likely to believe, consume and spread fake news

[15][12] , the users’ level of education [16][17], age and gender [18][19][20], party affiliatio

.

In and ideological identity[21][22][23], with the availability aditiond time dedicated to social media[24] or wio th our cognitive ability [25][26].

Too much time spent on social meidia increases the user’s exposure to false or illegitimate content, especially if the user has a very active political identity or participation [27]. The expoological and partisure can also become repeated, making the content more familiar and easily accessible, which can induce a belief [28]. Even spects though this exposure is later denied by fact-checkers, the user can continue to believe in its content [29](Pennycook et motival. 2018).

Despite this, Halpern et al. (2019) concluded that the use of social media is not related to the belief in fake news. The authors argue that more connected users may have greater knowledge in selecting quality information, exposing themselves less to this type of disinformation consumption [27]. It should be noted that some studies have found that the fake news audience is smaller than the real news audience [21][30].Regar, the low eding the Ameriucan election period, in 2016, Guess et al. (2019) even mention that some warnings about the echo chambers had been exaggerated, since they estimated that only one in four Americans visited disinformation websites during the electionstional level or digital iliteracy [3019][20][21]. In addition, the audience that consumes fake news is not only limited to filter bubbles and echo chambers, since this audience is also exposed, on social growing distrust in the media, to real news [22][23][24].

In, Italy and France, in 2017, most fake news sites reached less than 1% of the online population per month, even though the engagement generated by some fake news on Facebook has exceeded the engagement generated by the most popular real news.

However, thow cognitive abilis was not the case in most situations y[25][3126]. Fake news has a smaller audience than mainstream media, and the levels of distrust in these traditional media sources are lower. Still, online disinformation is currently a political weapon and Facebook is one of the main means of spreading fake news [32][33], while and the close relationship with remains the preferred social network for accessing news. What justifies these results?

The consumptthe person sharion of fake news may be related to the user’s availability to use social media. Nelson and Taneja (2018) demonstrated that the selection of infg the disinformation[27][28][29][3]  and TV programming has to do with the time available and our schedules, and not exactly with the preferences of the public[24]. Users with e the main more time available for the internet not only tend to look for other alternative means[34] , vations for but are more exposed to all types of information, especially the most popular ones. The time spent on Facebook and Google is positively correlated with the consumption oflieving and spreading fake news[24]. In Aadditionally, the user’s level of education can influence the belief in and dissemination of fake news. More educated people, especially young people, are less likely to share false information[16] . Flynn et al. (2017) found that the level of edutime the user devotes to socation can be a tool in combating the spread of disinformal mediation online[1730]. Nevertheless , Manalu aget[11][31]  al. (2018) found that users aged between 15 and 30 years are more susceptible to believe in fake news, because they are more exposed.

Their de Digital News Report 2019 points out that young people are not so predisposed to “to work hard for their news”, and prefer “easy” and “fun” access [33]. Sree of expome studies [35][36]have aluready shown that school and college students have a hard time distinguishing between false and true infto misinformation. Contrary, in a study that sought to analyze the profiles of users who believed in fake news, i content[12][9] was shown that it is older people and those who are more outgoing and friendly who trust fake news[18].

Munger et al. (2018) lso concluded that the elderly have a greater preference for clickbait headlines, that is, titles that are designed relate with the objective of attracting the attention of the reader to click on content of “doubtful value or interest” [10]belief in fake news. Co

Insumption can also vary due to gender differences: women are more likely to share false information, although it is men who prefer to consume news through social media [18].

These demographic variables can also be relahis entry, the factors associated to the belief and spread of false rumors. Lai et al. (2020) found that women are more likely to believe rumors. The same is true of less literate or educated individuals[37] . However, twith the traits related to the personality of each person can also be related to the belief in false rumors, such as people with high values of neuroticism and extroversion[38][37].dynamics of social networks

F(recom a psychological perspective, several studies[39][40][25][26] foummend that analytical and intuitive thoughts can interfere with the evaluation of false or true information. According to Pennycook and Rand (2017), the most intuitive individuals are more spontaneous, perform quickly with little attention or intellectual reflection, which turns them more likely to believe in “bullshit” , since the majority of the public is limited to reading the headlines [41]. 

Related to this aspect, [25][42][39] point oion algorithms, echo chambers, filter but, for example, that liberals tend to be more analytical than conservatives. Conservatives rely more on intuition, so conservatives may be more likely to consume fake news or to believe in “bullshit”. Jost et al. (2003) analyzed the sobles, malicious social behavior associated with conservatism and found that ideologically right-wing people, in the social sense, have a greater tendency to reject complex topics and are more dependent on implicit reasoning[43].

Teots) that also contributlock (1983) had previously found that conservatism is associated with a more closed mind, which offers resistance to complexity and change, drawing lessons from the world around it through quick judgments, sometimes based on stereotypes [44].

The belie to the spread of in fake news can be greater in people prone to delusion, with psychotic thoughts or who follow unusual opinions or ideas such as being aware of conspiracy theories or paranormal phenomena [45], were not addressed.

The entry is from 10.3390/socsci9100185

 

References

  1. João Pedro Baptista; Anabela Gradim; Understanding Fake News Consumption: A Review. Social Sciences 2020, 9, 185, 10.3390/socsci9100185.
  2. Jonathan Bright; The Social News Gap: How News Reading and News Sharing Diverge. JJoseph E. Uscinski; Casey Klofstad; Matthew D. Atkinson; What Drives Conspiratorial Beliefs? The Role of Informational Cues and Predispositions. Pournlitical of Communication Research Quarterly 2016, 66, 343-365, 10.1111/jcom.12232.9, 57-71, 10.1177/1065912915621621.
  3. Chip Heath; Do People Prefer to Pass Along Good or Bad News? Valence and Relevance of News as Predictors of Transmission Propensity. OrgaRegina Rini; Fake News and Partisan Epistemology. Kenizational Behavior and Human Decision Processes edy Institute of Ethics Journal 201996, 68, 79-94, 10.1006/obhd.1996.0091.7, 27, E-43-43, 10.1353/ken.2017.0025.
  4. Soroush Vosoughi; Deb Roy; Sinan Aral; The spread of true and false news online. SAndrew Duffy; Edson C. Tandoc Jr.; Rich Ling; Too good to be true, too good not to share: the social utility of fake news. Information, Communicatiencon & Socie ty 2018, 359, 1146-1151, 10.1126/science.aap9559.9, ., 1-15, 10.1080/1369118x.2019.1623904.
  5. Edda Humprecht; Where ‘fake news’ flourishes: a comparison across four Western democracies. InfVíctor García-Perdomo; Ramón Salaverría; Danielle K. Kilgo; Summer Harlow; To Share or Not to Share. Jourmation, Communication & Society nalism Studies 2018, 22, 1973-1988, 10.1080/1369118x.2018.1474241.7, 19, 1180-1201, 10.1080/1461670x.2016.1265896.
  6. Cardoso, Gustavo, Inês Narciso, José Moreno, and Nuno Palma. 2019. Report—Online Disinformation duringPortugal’s 2019 Elections. Lisbon: MEDIALAB & Democracy Reporting International.Sebastián Valenzuela; Martina Piña; Josefina Ramírez; Behavioral Effects of Framing on Social Media Users: How Conflict, Economic, Human Interest, and Morality Frames Drive News Sharing. Journal of Communication 2017, 67, 803-826, 10.1111/jcom.12325.
  7. ISCTE. 2019. Disinformation Risks in Portugal’s Election More Brazil than Europe? Risk Assessment: Online Manipulation Ahead of the Portuguese Parliamentary Elections. Available online: https://medialab.iscte-iul. pt/desinformacao-risco-de-interferencia-nas-eleicoes-e-reduzido-2/ (accessed on 15 October 2020).Jonah Berger; Katherine L. Milkman; What Makes Online Content Viral?. Journal of Marketing Research 2012, 49, 192-205, 10.1509/jmr.10.0353.
  8. Ceren Budak; What happened? The Spread of Fake News Publisher Content During the 2016 U.S. Presidential Election. The World WBaptista, João; Ethos, pathos and logos Comparative analysis of the (fake) news persuasive process. Eide Web Ckonference on - WWW '19 202019, ., 139-150, 10.1145/3308558.3313721., 1, 43-54.
  9. Benjamin D. Horne; Sibel Adali; 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 Anna Elisabetta Galeotti; Believing fake news. Proceedings of the Eleventh International AAAI Conference on Web and Social Media st-Truth, Philosophy and Law 2017, null, null.9, ., 58-76, 10.4324/9780429450778-6.
  10. Munger, Kevin, Mario Luca, Jonathan Nagler, and Joshua Tucker. 2018. The Effect of Clickbait. Available online: https://www.semanticscholar.org/paper/The-Effect-of-Clickbait-*-Munger-Luca/9edda403530e9a45dd0b756ea0b938797dce6a82 (accessed on 15 October 2020).Matthew Barnidge; Albert C. Gunther; Jinha Kim; Yangsun Hong; Mallory Perryman; Swee Kiat Tay; Sandra Knisely; Politically Motivated Selective Exposure and Perceived Media Bias. Communication Research 2017, 47, 82-103, 10.1177/0093650217713066.
  11. Bradley E. Wiggins; Navigating an Immersive Narratology. IAndrew Guess; Jonathan Nagler; Joshua Tucker; Less than you think: Prevalence and predictors of fake news dissemination on Facebook. Scientcernational Journal of E-Politic Advances 2017, 8, 16-29, 10.4018/ijep.2017070102.9, 5, eaau4586, 10.1126/sciadv.aau4586.
  12. Baptista, João; Ethos, pathos e logos. Análise comparativa do processo persuasivo das (fake) news. EDaniel Halpern; Sebastián Valenzuela; James Katz; Juan Pablo Miranda; From Belief in Conspiracy Theories to Trust in Others: Which Factors Influence Exposure, Believing and Sharing Fake News. Lecture Notes ikn Computer Scien ce 2020, 1, 43-54.19, ., 217-232, 10.1007/978-3-030-21902-4_16.
  13. A Bazaco; M Redondo; P Sánchez-García; Clickbait as a strategy of viral journalism: conceptualisation and methods. Clickbait as a strategy of viral journalism: conceptualisation and methods 2019, 74, 94-115, 10.4185/rlcs-2019-1323en.Identity concerns drive belief: The impact of partisan identity on the belief and dissemination of true and false news . Psyarxiv Preprints. Retrieved 2020-11-3
  14. Americans’ trust in mass media sinks to new low. . Gallup News. Retrieved 2020-11-4Hunt Allcott; Matthew Gentzkow; Social Media and Fake News in the 2016 Election. Journal of Economic Perspectives 2017, 31, 211-236, 10.1257/jep.31.2.211.
  15. Nielsen, Rasmus Kleis, and Lucas Graves. 2017. ‘News You Don’t Believe’: Audience Perspectives on Fake News. Oxford: Reuters Institute for the Study of Journalism, Available online: https://ora.ox.ac.uk/objects/uuid:6eff4d14-bc72-404d-b78a-4c2573459ab8 (accessed on 15 October 2020).Karen M. Douglas; Joseph E. Uscinski; Robbie M. Sutton; Aleksandra Cichocka; Turkay Nefes; Chee Siang Ang; Farzin Deravi; Understanding Conspiracy Theories. Political Psychology 2019, 40, 3-35, 10.1111/pops.12568.
  16. Mihai-Ionuț Pop; Irina Ene; Influence of the educational level on the spreading of Fake News regarding the energy field in the online environment. Proceedings of the International Conference on Business Excellence 2019, 13, 1108-1117, 10.2478/picbe-2019-0097.Lewis R and Marwick AE (2017) Taking the red pill: ideological motivations for spreading online disinformation. In. Understanding and Addressing the Disinformation Ecosystem, pp. 18–22. Available at: https://firstdraftnews.org/wp-content/uploads/2018/03/The-Disinformation -Ecosystem-20180207-v2.pdf (accessed 3 November 2020).
  17. D.J. Flynn; Brendan Nyhan; Jason Reifler; The Nature and Origins of Misperceptions: Understanding False and Unsupported Beliefs About Politics. Moreno Mancosu; Salvatore Vassallo; Cristiano Vezzoni; Believing in Conspiracy Theories: Evidence from an Exploratory Analysis of Italian Survey Data. South European Society and Political Psychology 2017, 38, 127-150, 10.1111/pops.12394., 22, 327-344, 10.1080/13608746.2017.1359894.
  18. Kai Shu; Suhang Wang; Huan Liu; Understanding User Profiles on Social Media for Fake News Detection. 2018 IEEE CMarwick, Alice; Why do people share fake news? A sociotechnical model of media effects.. Geonference on Multimedia Information Processing and Retrieval (MIPR) getown Law Technology Review 2018, ., 430-435, 10.1109/mipr.2018.00092., 2, 474-512.
  19. Tant, ău, Adrian, Mihai Pop, and Alexandra Cătălina Chinie. 2019. Quantitative Analysis Regarding the Probabilityof Spreading Fake News Based on Age. New Trends in Sustainable Business and Consumption, 649. Available online: https://www.researchgate.net/profile/Ann_Katrin_Arp/publication/333902657_Study_ on_European_funding_programmes_for_sustainable_development/links/5dbaf94d299bf1a47b05a8d3/ Study-on-European-funding-programmes-for-sustainable-development.pdf#page=649 (accessed on 15 October 2020).Stephanie Craft; Seth Ashley; Adam Maksl; News media literacy and conspiracy theory endorsement. Communication and the Public 2017, 2, 388-401, 10.1177/2057047317725539.
  20. Rouli Manalu; Tandiyo Pradekso; Djoko Setyabudi; Understanding the Tendency of Media Users to Consume Fake News. Joseph Kahne; Benjamin Bowyer; Educating for Democracy in a Partisan Age: : Confronting the Challenges of Motivated Reasoning and Misinformation. American Educational Research Journal ILMU KOMUNIKASI 2018, 16, 5, 1-16, 10.24002/jik.v15i1.1322.4, 3-34, 10.3102/0002831216679817.
  21. Hunt Allcott; Matthew Gentzkow; Social Media and Fake News in the 2016 Election. JMihai-Ionuț Pop; Irina Ene; Influence of the educational level on the spreading of Fake News regarding the energy field in the online environment. Proceedings ouf the Internal of Economic Perspectivtional Conference on Business Excellences 2017, 9, 131, 211-236, 10.1257/jep.31.2.211., 1108-1117, 10.2478/picbe-2019-0097.
  22. Joseph E. Uscinski; Casey Klofstad; Matthew D. Atkinson; What Drives Conspiratorial Beliefs? The Role of Informational Cues and Predispositions. Political Research Quarterly 2016, 69, 57-71, 10.1177/1065912915621621.Nielsen, Rasmus Kleis, and Lucas Graves. 2017. ‘News You Don’t Believe’: Audience Perspectives on Fake News. Oxford: Reuters Institute for the Study of Journalism, Available online: https://ora.ox.ac.uk/objects/uuid:6eff4d14-bc72-404d-b78a-4c2573459ab8 (accessed on 15 October 2020).
  23. Regina Rini; Fake News and Partisan Epistemology. KW. Lance Bennett; Steven Livingston; The disinformation order: Disruptive communication and the decline of democratic institutions. Europenanedy Institute of Ethics Jour Journal of Communicational 2017, 27, E-43-43, 10.1353/ken.2017.0025.8, 33, 122-139, 10.1177/0267323118760317.
  24. Jacob L Nelson; Harsh Taneja; The small, disloyal fake news audience: The role of audience availability in fake news consumption. New Sander Van Der Linden; Costas Panagopoulos; Jon Roozenbeek; You are fake news: political bias in perceptions of fake news. Media, Culture & Society 202018, , 420, 3720-3737, 10.1177/1461444818758715., 460-470, 10.1177/0163443720906992.
  25. Gordon Pennycook; David G. Rand; Who Falls for Fake News? The Roles of Analytic Thinking, Motivated Reasoning, Political Ideology, and Bullshit Receptivity. SSRN ElectGordon Pennycook; David G. Rand; Who falls for fake news? The roles of bullshit receptivity, overclaiming, familiarity, and analytic thinking. Jouronic Joural of Personal ity 2017, null, ., 10.2139/ssrn.3023545.9, 88, 185-200, 10.1111/jopy.12476.
  26. David G. Rand; David G. Rand; Lazy, not biased: Susceptibility to partisan fake news is better explained by lack of reasoning than by motivated reasoning. Michael V. Bronstein; Gordon Pennycook; Adam Bear; David G. Rand; Tyrone D. Cannon; Belief in Fake News is Associated with Delusionality, Dogmatism, Religious Fundamentalism, and Reduced Analytic Thinking. Journal of Applied Research in Memory and Cognition 2019, 1, 88, 39-50, 10.1016/j.cognition.2018.06.011., 108-117, 10.1016/j.jarmac.2018.09.005.
  27. Daniel Halpern; Sebastián Valenzuela; James Katz; Juan Pablo Miranda; From Belief in Conspiracy Theories to Trust in Others: Which Factors Influence Exposure, Believing and Sharing Fake News. LecDavid Sterrett; Dan Malato; Jennifer Benz; Liz Kantor; Trevor Tompson; Tom Rosenstiel; Jeff Sonderman; Kevin Loker; Who Shared It?: Deciding What News to Trust on Social Media. Digitureal Notes in Computer Science Journalism 2019, ., 217-232, 10.1007/978-3-030-21902-4_16., 7, 783-801, 10.1080/21670811.2019.1623702.
  28. Anna Elisabetta Galeotti; Believing fake news. Post-Truth, Philosophy and Law 2019, ., 58-76, 10.4324/9780429450778-6.Sterret, David, Dan Malato, Jennifer Benz, Liz Kantor, Trevor Tompson, Tom Rosenstiel, Jeff Sonderman, Kevin Loker, and Emily Swanson. 2018. Who Shared It?: How Americans Decide What News to Trust on Social Media. NORC Working Paper Series WP-2018-001. Chicago, IL, USA: University of Chicago.
  29. Gordon Pennycook; Tyrone D. Cannon; David G. Rand; Prior exposure increases perceived accuracy of fake news.. Jason Turcotte; Chance York; Jacob Irving; Rosanne M. Scholl; Raymond J. Pingree; News Recommendations from Social Media Opinion Leaders: Effects on Media Trust and Information Seeking. Journal of ExComperimental Psychology: Geuter-Mediated Communicationeral 2018, 147, 1865-1880, 10.1037/xge0000465.5, 20, 520-535, 10.1111/jcc4.12127.
  30. Andrew Guess; Jonathan Nagler; Joshua Tucker; Less than you think: Prevalence and predictors of fake news dissemination on Facebook. SciJacob L Nelson; Harsh Taneja; The small, disloyal fake news audience: The role of audience availability in fake news consumption. Nencw Me Advances dia & Society 2019, 5, eaau4586, 10.1126/sciadv.aau4586.8, 20, 3720-3737, 10.1177/1461444818758715.
  31. Fletcher, Richard, Alessio Cornia, Lucas Graves, and Rasmus Kleis Nielsen. 2018. Measuring the Reach of ‘FakeNews’ and Online Disinformation in Europe. Reuters Institute Factsheet. Available online: http://www. digitalnewsreport.org/publications/2018/measuring-reach-fake-news-online-disinformation-europe/ (accessed on 15 October 2020).Rouli Manalu; Tandiyo Pradekso; Djoko Setyabudi; Understanding the Tendency of Media Users to Consume Fake News. Jurnal ILMU KOMUNIKASI 2018, 15, 1-16, 10.24002/jik.v15i1.1322.
  32. Bernal, Paul; Why Facebook Makes the Fake News Problem Inevitable.. Northern Ireland Legal Quarterly 2018, 69, 513-30.
  33. Newman, Nic, Richard Fletcher, Antonis Kalogeropoulos, and Rasmus Nielsen. 2019. Reuters Institute DigitalNews Report 2019. Oxford: Reuters Institute for the Study of Journalism, vol. 2019.
  34. Elberse, Anita. 2008. Should You Invest in the Long Tail? Harvard Business Review 86: 88.
  35. Sarah McGrew; Joel Breakstone; Teresa Ortega; Mark Smith; Sam Wineburg; Can Students Evaluate Online Sources? Learning From Assessments of Civic Online Reasoning. Theory & Research in Social Education 2018, 46, 165-193, 10.1080/00933104.2017.1416320.
  36. Wineburg, Sam, Sarah McGrew, Joel Breakstone, and Teresa Ortega. 2016. Evaluating Information: The Cornerstone of Civic Online Reasoning. Stanford Digital Repository 8: 2018.
  37. Kaisheng Lai; Xiling Xiong; Xiaoya Jiang; Meiqi Sun; Lingnan He; Who falls for rumor? Influence of personality traits on false rumor belief. Personality and Individual Differences 2020, 152, 109520, 10.1016/j.paid.2019.109520.
  38. Bordia, Prashant, and Nicholas DiFonzo. 2017. Psychological Motivations in Rumor Spread. In Rumor Mills. Edited by Gary Alan Fine, Véronique Campion-Vicent and Chip Health. Abingdon-on-Thames: Routledge, pp. 87–102.
  39. Deppe, Kristen D., Frank J. Gonzalez, Jayme L. Neiman, Carly Jacobs, Jackson Pahlke, Kevin B. Smith, and John R. Hibbing.; Reflective Liberals and Intuitive Conservatives: A Look at the Cognitive Reflection Test and Ideology. . Judgment and Decision Making 2015, 10, 314-31.
  40. Dan M. Kahan; Ideology, Motivated Reasoning, and Cognitive Reflection: An Experimental Study. SSRN Electronic Journal 2012, ., ., 10.2139/ssrn.2182588.
  41. Maksym Gabielkov; Arthi Ramachandran; Augustin Chaintreau; Arnaud Legout; Social Clicks. Proceedings of the 2016 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Science - SIGMETRICS '16 2016, ., 179-192, 10.1145/2896377.2901462.
  42. Briony Swire-Thompson; Adam J. Berinsky; Stephan Lewandowsky; Ullrich K. H. Ecker; Processing political misinformation: comprehending the Trump phenomenon. Royal Society Open Science 2017, 4, 160802, 10.1098/rsos.160802.
  43. John T. Jost; Jack Glaser; Arie W. Kruglanski; Frank J. Sulloway; Political conservatism as motivated social cognition.. Psychological Bulletin 2003, 129, 339-375, 10.1037/0033-2909.129.3.339.
  44. Philip E. Tetlock; Cognitive style and political ideology.. Journal of Personality and Social Psychology 1983, 45, 118-126, 10.1037//0022-3514.45.1.118.
  45. Karen M. Douglas; Joseph E. Uscinski; Robbie M. Sutton; Aleksandra Cichocka; Turkay Nefes; Chee Siang Ang; Farzin Deravi; Understanding Conspiracy Theories. Political Psychology 2019, 40, 3-35, 10.1111/pops.12568.
  46. Karen M. Douglas; Joseph E. Uscinski; Robbie M. Sutton; Aleksandra Cichocka; Turkay Nefes; Chee Siang Ang; Farzin Deravi; Understanding Conspiracy Theories. Political Psychology 2019, 40, 3-35, 10.1111/pops.12568.
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