Erratum The Correction of Misinformation Through Related Stories Functionality in Social Media. [Journal of Communication, 65: 619-638] DOI: 10.1111/jcom.12166;In Related News, That Was Wrong: The Correction of Misinformation Through Related Stories Functionality in Social Media

Journal of Communication

Volumn 65, Issue 4, 2015, Pages 619-638

  Bode, Leticia ^a   Vraga, Emily K ^a  

^a UNIVERSITY OF WISCONSIN MADISON   (United States)

Author keywords

Algorithms; Facebook; GMOs; Health Communication; Misinformation; Social Media; Vaccines

Indexed keywords

ALGORITHM; COMMUNICATION NETWORK; GENETICALLY MODIFIED ORGANISM; INFORMATION; MASS MEDIA; MEDIA ROLE; PUBLIC HEALTH; VACCINE; WORLD WIDE WEB;

EID: 84938213887     PISSN: 00219916     EISSN: 14602466     Source Type: Journal    
DOI: 10.1111/jcom.12197     Document Type: Erratum

References (63)

1. Aiello, L. M., Barrat, A., Schifanella, R., Cattuto, C., Markines, B., & Menczer, F. (2012). Friendship prediction and homophily in social media. ACM Transactions on the Web, 6(2), 9. doi:10.1145/2180861.2180866.
2. Bakshy, E., Rosenn, I., Marlow, C., & Adamic, L. (2012). The role of social networks in information diffusion. In Proceedings of the 21st International Conference on WWW (pp. 519-528). New York, NY: ACM.
3. Betsch, C., & Sachse, K. (2012). Dr. Jekyll or Mr. Hyde? (How) the internet influences vaccination decisions: Recent evidence and tentative guidelines for online vaccine communication. Vaccine, 30(25), 3723-3726. doi:10.1016/j.vaccine.2012.03.078.
4. Bode, L. (2012). Facebooking it to the polls: A study in online social networking and political behavior. Journal of Information Technology & Politics, 9, 352-369. doi:10.1080/19331681.2012.709045.
5. Bode, L. (2015). Political news in the News Feed: Learning politics from social media. Mass Communication and Society. Forthcoming.
6. Briñol, P., & Petty, R. E. (2006). Fundamental processes leading to attitude change: Implications for cancer prevention communications. Journal of Communication, 56(S1), S81-S104. doi:10.1111/j.1460-2466.2006.00284.x.
7. Buhrmester, M., Kwang, T., & Gosling, S. D. (2011). Amazon's Mechanical Turk: A new source of inexpensive, yet high-quality, data? Perspectives on Psychological Science, 6(1), 3-5. doi:10.1177/1745691610393980.
8. Casler, K., Bickel, L., & Hackett, E. (2013). Separate, but equal? A comparison of participants and data gathered via Amazon's MTurk, social media, and face-to-face behavioral testing. Computers in Human Behavior, 29(6), 2156-2160. doi:10.1016/j.chb.2013.05.009.
9. Cavazos-Rehg, P., Krauss, M., Grucza, R., & Bierut, L. (2014). Characterizing the followers and tweets of a marijuana-focused Twitter handle. Journal of Medical Internet Research, 16(6), e157. doi:10.2196/jmir.3247.
10. Chong, D., & Druckman, J. N. (2007). A theory of framing and public opinion formation in competitive elite environments. Journal of Communication, 57(1), 99-118. doi:10.1111/j.1460-2466.2006.00331.x.
11. Clarke, S. (2007). Conspiracy theories and the Internet: Controlled demolition and arrested development. Episteme, 4(2), 167-180. doi:10.1353/epi.2007.0018.
12. Cooper, J., & Fazio, R.H. (1984). A new look at dissonance theory. Advances in Experimental Social Psychology, 17, 229-266.
13. Dixon, G., & Clarke, C. (2013). The effect of falsely balanced reporting of the autism-vaccine controversy on vaccine safety perceptions and behavioral intentions. Health Education Research, 28(2), 352-359. doi:10.1093/her/cys110.
14. Ecker, U. K., Lewandowsky, S., Swire, B., & Chang, D. (2011). Correcting false information in memory: Manipulating the strength of misinformation encoding and its retraction. Psychonomic Bulletin & Review, 18(3), 570-578. doi:10.3758/s13423-011-0065-1.
15. Ennals, R., Byler, D., Agosta, J. M., & Rosario, B. (2010, April). What is disputed on the web? In Proceedings of the 4th Workshop on Information Credibility (pp. 67-74). New York, NY: ACM. doi:10.1145/1772938.1772952.
16. Festinger, L., Reicken, H. W., & Schachter, S. (1956). When prophecy fails. Minneapolis: University of Minnesota Press.
17. Fowler, A., & Margolis, M. (2013). The political consequences of uninformed voters. Electoral Studies, 30, 1-11. doi:10.1016/j.electstud.2013.09.009.
18. Gershkoff, A., & Kushner, S. (2005). Shaping public opinion: The 9/11-Iraq connection in the Bush administration's rhetoric. Perspectives on Politics, 3(03), 525-537. doi:10.1017/S1537592705050334.
19. Gillespie, T. (2014). The relevance of algorithms. In T. Gillespie, P. Boczkowski, & K. Foot (Eds.), Media technologies (pp. 167-194). Cambridge, MA: MIT Press.
20. Goldacre, B. (2008, August 29). The MMR hoax. The Guardian. Retrieved from http://www.theguardian.com/society/2008/aug/30/mmr.health.media.
21. Institute of Medicine. (2004, May 14). Immunization and safety review: Vaccines and autism. Retrieved from http://www.iom.edu/Reports/2004/Immunization-Safety-Review-Vaccines-and-Autism.aspx.
22. Jerit, J., & Barabas, J. (2012). Partisan perceptual bias and the information environment. The Journal of Politics, 74(03), 672-684. doi:10.1017/S0022381612000187.
23. Kata, A. (2010). A postmodern Pandora's box: Anti-vaccination misinformation on the Internet. Vaccine, 28(7), 1709-1716. doi:10.1016/j.vaccine.2009.12.022.
24. Keim, M. E., & Noji, E. (2010). Emergent use of social media: A new age of opportunity for disaster resilience. American Journal of Disaster Medicine, 6(1), 47-54. doi:10.5055/ajdm.2010.0000.
25. Kim, Y., Chen, H., & Gil de Zuniga, H. (2013). Stumbling upon news on the Internet: Effects of incidental news exposure and relative entertainment use on political engagement. Computers in Human Behavior, 29(6), 2607-2614. doi:10.1016/j.chb.2013.06.005.
26. Kraft, P. W., Lodge, M., & Taber, C. S. (2015). Why people "don't trust the evidence": Motivated reasoning and scientific beliefs. The Annals of the American Academy of Political and Social Science, 658, 121-133.
27. Kranish, M. (2014, May 4). Facebook draws fire on "related articles" push. The Boston Globe.
28. Kuklinski, J. H., Quirk, P. J., Jerit, J., Schwieder, D., & Rich, R. F. (2000). Misinformation and the currency of democratic citizenship. Journal of Politics, 62(3), 790-816. doi:10.1111/0022-3816.00033.
29. Kull, S., Ramsay, C., & Lewis, E. (2003). Misperceptions, the media, and the Iraq war. Political Science Quarterly, 118(4), 569-598.
30. Leiserowitz, A., Maibach, E., Roser-Renouf, C., & Hmielowski, J. (2011). Global warming's six Americas in March 2012 and November 2011. Yale Project on Climate Change Communication, New Haven, CT.
31. Lewandowsky, S., Ecker, U.K.H., Seifert, C.M., Schwarz, N., & Cook, J. (2012). Misinformation and its correction: Continued influence and successful debiasing. Psychological Science in the Public Interest, 13(3), 106-131.
32. Lord, C. G., Ross, L., & Lepper, M. R. (1979). Biased assimilation and attitude polarization: The effects of prior theories on subsequently considered evidence. Journal of Personality and Social Psychology, 37, 2098-2109. doi:10.1037/0022-3514.37.11.2098.
33. Messing, S., & Westwood, S. J. (2014). Selective exposure in the age of social media: Endorsements trump partisan source affiliation when selecting news online. Communication Research, 41(8), 1042-1063. doi:10.1177/0093650212466406.
34. Nahon, K., & Hemsley, J. (2013). Going viral. Cambridge, England: Polity Press.
35. Nisbet, E. C., Hart, P. S., Myers, T., & Ellithorpe, M. (2013). Attitude change in competitive framing environments? Open/closed-mindedness, framing effects, and climate change. Journal of Communication, 63(4), 766-785. doi:10.1111/jcom.12040.
36. Nyhan, B., & Reifler, J. (2010). When corrections fail: The persistence of political misperceptions. Political Behavior, 32(2), 303-330. doi:10.1007/s11109-010-9112-2.
37. Nyhan, B., Reifler, J., Richey, S., & Freed, G. L. (2014). Effective messages in vaccine promotion: A randomized trial. Pediatrics, 133(4), e835-e842. doi:10.1542/peds.2013-2365.
38. Nyhan, B., Reifler, J., & Ubel, P. A. (2013). The hazards of correcting myths about health care reform. Medical Care, 51(2), 127-132. doi:10.1097/MLR.0b013e318279486b.
39. Owens, E., & Weinsberg, U. (2015, January 20). News feed FYI: Showing fewer hoaxes. Facebook Newsroom. Retrieved from http://newsroom.fb.com/news/2015/01/news-feed-fyi-showing-fewer-hoaxes/.
40. Pariser, E. (2011). The Filter Bubble: How the new personalized web is changing what we read and how we think. New York, NY: Penguin Books.
41. Pew. (2014). Social media update 2014. Washington, DC: Pew Internet & American Life.
42. Pew. (2015). Public and scientists' views on science and society. Washington, DC: Internet, Science, & Tech.
43. Qazvinian, V., Rosengren, E., Radev, D. R., & Mei, Q. (2011, July). Rumor has it: Identifying misinformation in microblogs. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (pp. 1589-1599). Stroudsburg, PA: Association for Comp. Linguistics.
44. Ratkiewicz, J., Conover, M., Meiss, M., Gonçalves, B., Patil, S., Flammini, A., & Menczer, F. (2010). Detecting and tracking the spread of astroturf memes in microblog streams. In Proceedings of the International Conference Companion on World Wide Web (pp. 249-252). Hyderabad, India: ACM. doi:10.1145/1963192.1963301.
45. Redlawsk, D. P., Civettini, A. J. W., & Emmerson, K. M. (2010). The affective tipping point: Do motivated reasoners ever "get it?" Political Psychology, 31(4), 563-593. doi:10.1111/j.1467-9221.2010.00772.x.
46. Reedy, J., Wells, C., & Gastil, J. (2014). How voters become misinformed: An investigation of the emergence and consequences of false factual beliefs. Social Science Quarterly, 95(5), 1399-1418. doi:10.1111/ssqu.12102.
47. Ruiz, J. B., & Bell, R. A. (2014). Understanding vaccination resistance: Vaccine search term selection bias and the valence of retrieved information. Vaccine, 32(44), 5776-5780. doi:10.1016/j.vaccine.2014.08.042.
48. Sarmah, S. (2014). Fighting the endless spread of Ebola misinformation on social media. Fast Company. Retrieved from http://www.fastcompany.com/3034380/fighting-the-endless-spread-of-ebola-misinformation-on-social-media.
49. Snell, C., Bernheim, A., Berge, J., Kuntz, M., Pascal, G., Paris, A., & Ricroch, A. E. (2012). Assessment of the health impact of GM plant diets in long-term and multigenerational animal feeding trials: A literature review. Food and Chemical Toxicology, 50(3-4), 1134-1148. doi:10.1016/j.fct.2011.11.048.
50. Southwell, B. (2013). Social networks and popular understanding of science and health. Baltimore, MD: Johns Hopkins University Press.
51. Stroud, N. J. (2010). Polarization and partisan selective exposure. Journal of Communication, 60(3), 556-576. doi:10.1111/j.1460-2466.2010.01497.x.
52. Taber, C. S., & Lodge, M. (2006). Motivated skepticism in the evaluation of political beliefs. American Journal of Political Science, 50(3), 755-769. doi:10.1111/j.1540-5907.2006.00214.x.
53. Tafuri, S., Gallone, M. S., Cappelli, M. G., Martinelli, D., Prato, R., & Germinario, C. (2013). Addressing the anti-vaccination movement and the role of HCWs. Vaccine, 32(38), 4860-4865. doi:10.1016/j.vaccine.2013.11.006.
54. Tavris, C., & Aronson, E. (2008). Mistakes were made (but not by me): Why we justify foolish beliefs, bad decisions, and hurtful acts. New York, NY: Mariner Books.
55. Thorson, E. A. (2013). Belief echoes: The persistent effects of corrected misinformation. Unpublished dissertation, University of Pennsylvania, Philadelphia, PA.
56. Uscinski, J. E., & Parent, J. M. (2014). American conspiracy theories. New York, NY: Oxford University Press.
57. Vermont v science. (2014, May 10). The Economist. Retrieved from http://www.economist.com/node/21601831/print.
58. Vis, F. (2014, April 24). To tackle the spread of misinformation online we must first understand it. The Guardian. Retrieved from http://www.theguardian.com/commentisfree/2014/apr/24/tackle-spread-misinformation-online.
59. Vishwanath, A. (2014). Habitual Facebook use and its impact on getting deceived on social media. Journal of Computer-Mediated Communication, 20(1), 83-98. doi:10.1111/jcc4.12100.
60. Vraga, E. K. (2011). Dealing with dissonance: Responding to an incongruent test result in a new media environment. Cyberpsychology, Behavior and Social Networking, 14, 689-609. doi:10.1089/cyber.2010.0479.
61. Vraga, E. K., Thorson, K., Kligler-Vilenchik, N., & Gee, E. (2015). How individual sensitivities to disagreement shape youth political expression on Facebook. Computers in Human Behavior, 45, 281-289. doi:10.1016/j.chb.2014.12.025.
62. Weeks, B., & Southwell, B. (2010). The symbiosis of news coverage and aggregate online search behavior: Obama, rumors, and presidential politics. Mass Communication and Society, 13(4), 341-360. doi:10.1080/15205430903470532.
63. Zaller, J. (1992). The nature and origins of mass opinion. Cambridge, England: Cambridge University Press.