Emotional dynamics in the age of misinformation

PLoS ONE

Volumn 10, Issue 9, 2015, Pages

  Zollo, Fabiana ^a   Novak, Petra Kralj ^b   Del Vicario, Michela ^a   Bessi, Alessandro ^a,c   Mozetič, Igor ^b   Scala, Antonio ^d   Caldarelli, Guido ^a   Quattrociocchi, Walter ^a   Preis, Tobias ^e  

^a IMT SCHOOL FOR ADVANCED STUDIES LUCCA   (Italy)

^b JO EF STEFAN INSTITUTE   (Slovenia)

^c SCUOLA UNIVERSITARIA SUPERIORE IUSS PAVIA   (Italy)

^d ISC CNR   (Italy)

^e UNIVERSITY OF WARWICK   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARMY; EXERCISE; HUMAN; EMOTION; FEMALE; INTERPERSONAL COMMUNICATION; MALE;

COMMUNICATION; EMOTIONS; FEMALE; HUMANS; MALE;

EID: 84947750648     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0138740     Document Type: Article

References (51)

1. Loader BD, Vromen A, Xenos MA The networked young citizen: social media, political participation and civic engagement. Information, Communication & Society. 2014; 17(2):143-150. doi:10.1080/1369118X.2013.871571
2. Scott SV, Orlikowski WJ Entanglements in practice: Performing anonymity through social media. 2014;.
3. Magro MJ. A review of social media use in e-government. Administrative Sciences. 2012; 2(2):148-161. doi:10.3390/admsci2020148
4. Farley E, Grady F, Miller D.S., O'Connor R, Schneider H, Spikes M., et al. What Happens When Everyone Yields the Power of Information?-Handouts. 2014;.
5. Brabazon T. Digital Distinctiveness. In: Unique Urbanity? Springer; 2015. p. 85-92.
6. Meraz S. Is there an elite hold? Traditional media to social media agenda setting influence in blog networks. Journal of Computer-Mediated Communication. 2009; 14(3):682-707. doi:10.1111/j.1083-6101.2009.01458.x
7. Friggeri A, Adamic LA, Eckles D, Cheng J. Rumor cascades. In: Proceedings of the Eighth International AAAI Conference on Weblogs and Social Media; 2014.
8. Colleoni E, Rozza A, Arvidsson A. Echo chamber or public sphere? Predicting political orientation and measuring political homophily in Twitter using big data. Journal of Communication. 2014; 64(2):317-332. doi:10.1111/jcom.12084
9. Yardi S, Boyd D. Dynamic debates: An analysis of group polarization overtime on twitter. Bulletin of Science, Technology & Society. 2010; 30(5):316-327. doi:10.1177/0270467610380011
10. Quattrociocchi W, Caldarelli G, Scala A. Opinion dynamics on interacting networks: media competition and social influence. Scientific reports. 2014; 4. doi: 10.1038/srep04938 PMID: 24861995
11. Adamic LA, Glance N. The political blogosphere and the 2004 US election: divided they blog. In: Proceedings of the 3rd international workshop on Link discovery. ACM; 2005. p. 36-43.
12. Quattrociocchi W, Conte R, Lodi E. Simulating opinion dynamics in heterogeneous communication systems. 2010;.
13. Jøsang A, Quattrociocchi W, Karabeg D. Taste and trust. In: Trust Management V. Springer; 2011. p. 312-322.
14. Quattrociocchi W, Conte R, Lodi E. Opinions manipulation: Media, power and gossip. Advances in Complex Systems. 2011; 14(04):567-586. doi:10.1142/S0219525911003165
15. Anagnostopoulos A, Bessi A, Caldarelli G., Del Vicario M, Petroni F, Scala A., et al. Viral misinformation: the role of homophily and polarization. arXiv preprint arXiv:14112893. 2014;.
16. Mocanu D, Rossi L, Zhang Q., Karsai M, Quattrociocchi W. Collective attention in the age of (misinformation. Computers in Human Behavior. 2015; Available from: http://www.sciencedirect.com/science/article/pii/S0747563215000382 doi: 10.1016/j.chb.2015.01.024
17. Bessi A, Scala A, Rossi L., Zhang Q, Quattrociocchi W. The economy of attention in the age of (mis) information. 2014;.
18. Bessi A, Zollo F, Del Vicario M, Scala A, Caldarelli G., Quattrociocchi W. Trend of Narratives in the Age of Misinformation. PLoS ONE. 2015 08; 10(8). doi:10.1371/journal.pone.0134641
19. Bessi A, Coletto M, Davidescu G.A., Scala A., Caldarelli G, Quattrociocchi W. Science vs Conspiracy: Collective Narratives in the Age of Misinformation. PLoSONE. 2015 02; 10(2). doi:10.1371/journal. pone.0118093
20. Bessi A, Caldarelli G, Del Vicario M, Scala A, Quattrociocchi W. Social determinants of content selection in the age of (mis)information. Proceedings of SOCINFO 2014. 2014;.
21. Del Vicario M., Bessi A, Zollo F., Petroni F, Scala A, Caldarelli G., et al. Echo chambers in the age of misinformation. arXiv preprint arXiv:150900189. 2015;.
22. Lévy P. Collective intelligence. Plenum/HarperCollins; 1997.
23. Bonabeau E. Decisions 2.0: The power of collective intelligence. MIT Sloan management review. 2009; 50(2):45-52.
24. Surowiecki J. The Wisdom of Crowds: Why the Many Are Smarter Than the Few. Abacus; 2005. Available from: http://books.google.it/books?id=EqBQgAACAAJ
25. Lamothe D. Why Operation Jade Helm 15 is freaking out the Internet - and why it shouldn't be; 2015. http://www.washingtonpost.com/news/checkpoint/wp/2015/03/31/why-the-new-special-operations-exercise-freaking-out-the-internet-is-no-big-deal/. The Washington Post.
26. Kuklinski JH, Quirk PJ, Jerit J, Schwieder D., Rich RF. Misinformation and the Currency of Democratic Citizenship. The Journal of Politics. 2000; 62(3):790-816. Available from: http://www.journals.cambridge.org/abstractS0022381600000335 doi: 10.1111/0022-3816.00033
27. Zhu B, Chen C, Loftus E.F., Lin C., He Q, Chen C, et al Individual differences in false memory from misinformation: Personality characteristics and their interactions with cognitive abilities. Personality and Individual Differences. 2010; 48(8):889-894. Available from: http://www.sciencedirect.com/science/article/pii/S0191886910000784 doi: 10.1016/j.paid.2010.02.016
28. Frenda SJ, Nichols RM, Loftus EF Current Issues and Advances in Misinformation Research. Current Directions in Psychological Science. 2011; 20:20-23. doi:10.1177/0963721410396620
29. Byford J. Conspiracy Theories: A Critical Introduction. Palgrave Macmillan; 2011. Available from: http://books.google.it/books?id=vV-UhrQaoecC
30. Fine GA, Campion-Vincent V, Heath C. Rumor Mills: The Social Impact of Rumor and Legend. Social problems and social issues. Transaction Publishers;. Available from: http://books.google.it/books?id=dADxBwgCF5MC
31. Hogg MA, Blaylock DL. Extremism and the Psychology of Uncertainty. Blackwell/Claremont Applied Social Psychology Series. Wiley; 2011. Available from: http://books.google.it/books?id=GTgBQ3TPwpAC
32. Anderson AA, Brossard D, Scheufele D.A., Xenos MA, Ladwig P. The "nasty effect:" Online incivility and risk perceptions of emerging technologies. Journal of Computer-Mediated Communication. 2014; 19 (3):373-387. doi:10.1111/jcc4.12009
33. Coe K, Kenski K, Rains SA Online and uncivil? Patterns and determinants of incivility in newspaper website comments. Journal of Communication. 2014; 64(4):658-679. doi:10.1111/jcom.12104
34. Vapnik VN. The Nature of Statistical Learning Theory. New York, NY, USA: Springer-Verlag New York, Inc.; 1995.
35. Pak A, Paroubek P. Twitter as a Corpus for Sentiment Analysis and Opinion Mining. In: LREC. Vol. 10; 2010. p. 1320-1326.
36. Go A, Bhayani R, Huang L. Twitter sentiment classification using distant supervision. CS224N Project Report, Stanford. 2009; p. 1-12.
37. Tumasjan A, Sprenger TO, Sandner PG, Welpe IM Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment. ICWSM. 2010; 10:178-185.
38. Luong TT, Houston D. Public opinions of light rail service in Los Angeles, an analysis using Twitter data. iConference 2015 Proceedings. 2015;.
39. Pang B, Lee L. Opinion mining and sentiment analysis. Foundations and Trends in Information Retrieval. 2008; 2(1-2):1-135. doi:10.1561/1500000011
40. Pang B, Lee L, Vaithyanathan S. Thumbs up?: sentiment classification using machine learning techniques. In: Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10. Association for Computational Linguistics; 2002. p. 79-86.
41. Kiritchenko S, Zhu X, Mohammad SM Sentiment analysis of short informal texts. Journal of Artificial Intelligence Research. 2014; p. 723-762.
42. Ellison NB, Steinfield C, Lampe C. The Benefits of Facebook "Friends:" Social Capital and College Students' Use of Online Social Network Sites. Journal of Computer-Mediated Communication. 2007; 12 (4):1143-1168. doi:10.1111/j.1083-6101.2007.00367.x
43. Joinson AN. Looking at, Looking Up or Keeping Up with People?: Motives and Use of Facebook. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. CHI'08. New York, NY, USA: ACM; 2008. p. 1027-1036.
44. Viswanath B, Mislove A, Cha M., Gummadi KP. On the Evolution of User Interaction in Facebook. In: Proceedings of the 2Nd ACM Workshop on Online Social Networks. WOSN'09. New York, NY, USA: ACM; 2009. p. 37-42.
45. Franks B, Bangerter A, Bauer MW Conspiracy theories as quasi-religious mentality: an integrated account from cognitive science, social representations theory, and frame theory. Frontiers in psychology. 2013; 4. doi: 10.3389/fpsyg.2013.00424 PMID: 23882235
46. Facebook. Using the Graph API; 2013. Last checked: 09.05.2015. Website. Available from: https://developers.facebook.com/docs/graph-api/using-graph-api/
47. Gaudette L, Japkowicz N. Evaluation methods for ordinal classification. In: Advances in Artificial Intelligence. Springer; 2009. p. 207-210.
48. Sokolova M, Lapalme G. A systematic analysis of performance measures for classification tasks. Information Processing & Management. 2009; 45(4):427-437. doi:10.1016/j.ipm.2009.03.002
49. Cohen J. A coefficient of agreement for nominal scales. Educational and Psychological Measurement. 1960; 20(1):37-46. doi:10.1177/001316446002000104
50. Cohen J. Weighted kappa: Nominal scale agreement with provision for scaled disagreement or partial credit. Psychological Bulletin. 1968; 70(4):213-220. doi: 10.1037/h0026256 PMID: 19673146
51. Frank E, Hall M. A simple approach to ordinal classification. Springer; 2001.