A Nudge to Credible Information as a Countermeasure to Misinformation: Evidence from Twitter

References

• Acemoglu C, Fagnani O (2013) Opinion fluctuations and disagreement in social networks. Math. Oper. Res. 38:1–27.Link, Google Scholar
• Acemoglu O, Gheibi P (2010) Spread of (mis)information in social networks. Games Econom. Behav. 70:194–227.Crossref, Google Scholar
• Acemoglu D, Ozdaglar A, Siderius J (2021) A model of online misinformation. NBER Working Paper No. 28884, National Bureau of Economic Research, Cambridge, MA.Google Scholar
• Allison PD (2009) Fixed Effects Regression Models (SAGE Publications, Thousand Oaks, CA).Crossref, Google Scholar
• Angrist JD, Pischke JS (2009) Mostly Harmless Econometrics: An Empiricist’s Companion, 1st ed. (Princeton University Press, Princeton, NJ).Crossref, Google Scholar
• Autor DH (2003) Outsourcing at will: The contribution of unjust dismissal doctrine to the growth of c outsourcing. J. Labor Econom. 21(1):1–42.Crossref, Google Scholar
• Baltagi BH (2008) Econometric Analysis of Panel Data, vol. 4 (Wiley, Chichester, UK).Google Scholar
• Bertrand M, Duflo E, Mullainathan S (2004) How much should we trust differences-in-differences estimates? Quart. J. Econom. 119(1):249–275.Crossref, Google Scholar
• Cameron AC, Trivedi PK (2005) Microeconometrics: Methods and Applications (Cambridge University Press, Cambridge, UK).Crossref, Google Scholar
• Candogan O, Drakopoulos K (2020) Optimal signaling of content accuracy: Engagement vs. misinformation. Oper. Res. 68(2):497–515.Link, Google Scholar
• Centers for Disease Control and Prevention (2019) History of measles. Accessed June 18, 2021, https://www.cdc.gov/measles/about/history.html.Google Scholar
• Chambers KL, Zaragoza MS (2001) Intended and unintended effects of explicit warnings on eyewitness suggestibility: Evidence from source identification tests. Memory Cognition 29(8):1120–1129.Crossref, Google Scholar
• Chan CML, Bhandar M, Oh LB, Chan HC (2004) Recognition and participation in a virtual community. Proc. 37th Hawaii Internat. Conf. System Sci. (IEEE, Piscataway, NJ), 10.Google Scholar
• Chiou L, Tucker C (2018) Fake news and advertising on social media: A study of the anti-vaccination movement. NBER Working Paper No. 25223, National Bureau of Economic Research, Cambridge, MA.Google Scholar
• Ecker UKH, Lewandowsky S, Tang DTW (2010) Explicit warnings reduce but do not eliminate the continued influence of misinformation. Memory Cognition 38(8):1087–1100.Crossref, Google Scholar
• Evrony A, Caplan A (2017) The overlooked dangers of anti-vaccination groups’ social media presence. Human Vaccine Immunotherapy 13(6):1475–1476.Crossref, Google Scholar
• Ferrara E, Varol O, Davis C, Menczer F, Flammini A (2016) The rise of social bots. Comm. ACM 59(7):96–104.Crossref, Google Scholar
• Friggeri A, Adamic L, Eckles D, Cheng J (2014) Rumor cascades. Proc. 8th Internat. AAAI Conf. Weblogs Social Media 8(1):101–110.Google Scholar
• Graffius SM (2022) Lifespan (Half-Life) of social media posts: Update for 2022. Accessed May 2, 2023, https:/www.ScottGraffius.com/blog/files/tag-lifespan-0028half-life0029-of-social-media-posts003a-update-for-2022.html.Google Scholar
• Greene WH (2002) The behavior of the fixed effects estimator in nonlinear models. NYU Working Paper No. EC-02-05, New York University, New York.Google Scholar
• Harvey D (2019) Helping you find reliable public health information on Twitter. Accessed January 5, 2021, https://blog.twitter.com/en_us/topics/company/2019/helping-you-find-reliable-public-health-information-on-twitter.html.Google Scholar
• Heckman J (1979) Sample selection bias as a specification error. Econometrica 47(1):153–161.Crossref, Google Scholar
• Hill TD, Davis AP, Roos JM, French MT (2020) Limitations of fixed-effects models for panel data. Sociol. Perspective 63(3):357–369.Crossref, Google Scholar
• Jenco M (2019) Health officials combating measles vaccine misinformation as cases reach 1,001. Accessed June 20, 2021, https://www.aappublications.org/news/2019/06/06/measles060619.Google Scholar
• Katz E, Lazarsfeld PF (1955) Personal Influence: The Part Played by People in the Flow of Mass Communications (Free Press, New York).Google Scholar
• Kim A, Moravec PL, Dennis AR (2019) Combating fake news on social media with source ratings: The effects of user and expert reputation ratings. J. Management Inform. Systems 36(3):931–968.Crossref, Google Scholar
• Larson HJ, Cooper LZ, Eskola J, Katz SL, Ratzan S (2011) Addressing the vaccine confidence gap. Lancet 378(9790):526–535.Crossref, Google Scholar
• Loria S (2020) textblob Documentation. Release 0.16. Accessed May 2, 2023, https://buildmedia.readthedocs.org/media/pdf/textblob/latest/textblob.pdf.Google Scholar
• Moravec PL, Kim A, Dennis AR (2020) Appealing to sense and sensibility: System 1 and system 2 interventions for fake news on social media. Inform. Systems Res. 31(3):987–1006.Link, Google Scholar
• Mostagir M, Siderius J (2023) Social inequality and the spread of misinformation. Management Sci. 69(2):968–995.Link, Google Scholar
• Mostagir M, Ozdaglar A, Siderius J (2022) When is society susceptible to manipulation? Management Sci. 68(10):7153–7175.Link, Google Scholar
• Mousavi R, Gu B (2024) Resilience messaging: The effect of governors’ social media communications on community compliance during a public health crisis. Inform. Systems Res., ePub ahead of print July 20, 2023, https://doi.org/10.1287/isre.2021.0599.Link, Google Scholar
• Nov O, Naaman M, Ye C (2010) Analysis of participation in an online photo‐sharing community: A multidimensional perspective. J. Amer. Soc. Inform. Sci. Tech. 61(3):555–566.Crossref, Google Scholar
• Novacic I (2020) Censorship on social media? It’s not what you think. Accessed June 18, 2021, https://www.cbsnews.com/news/censorship-social-media-conservative-liberal-cbsn-originals/.Google Scholar
• Petrovic M, Roberts R, Ramsay M (2001) Second dose of measles, mumps, and rubella vaccine: Questionnaire survey of health professionals. Primary Care 322:4.Google Scholar
• Schul (1993) When warning succeeds: The effect of warning on success in ignoring invalid information. J. Experiment. Soc. Psych. 29:42–62.Crossref, Google Scholar
• Seetharaman D (2016) Facebook bans fake news sites from using its advertising network. Accessed July 26, 2021, https://www.wsj.com/articles/facebook-bans-fake-news-sites-from-using-its-advertising-network-1479175778.Google Scholar
• Shao C, Ciampaglia GL, Flammini A, Menczer F (2016) Hoaxy: A platform for tracking online misinformation. Proc. 25th Internat. Conf. Companion World Wide Web (ACM, New York), 745–750.Google Scholar
• Shao C, Ciampaglia GL, Varol O, Yang KC, Flammini A, Menczer F (2018) The spread of low-credibility content by social bots. Nature Comm. 9(1):4787.Crossref, Google Scholar
• Steel (2008) Repeated cross-sectional design. Lavrakas PJ, ed. Encyclopedia of Survey Research Methods (Sage Publications, Thousand Oaks, CA), 715–716.Google Scholar
• Stella M, Ferrara E, De Domenico M (2018) Bots increase exposure to negative and inflammatory content in online social systems. Proc. Natl. Acad. Sci. USA 115(49):12435–12440.Crossref, Google Scholar
• Suciu P (2019) More Americans are getting their news from social media. Accessed June 18, 2021, https://www.forbes.com/sites/petersuciu/2019/10/11/more-americans-are-getting-their-news-from-social-media/.Google Scholar
• Varol O, Ferrara E, Davis CA, Menczer F, Flammini A (2017) Online human-bot interactions: Detection, estimation, and characterization. Proc. 11th Internat. AAAI Conf. Web and Social Media (AAAI Press, Palo Alto, CA), 10.Google Scholar
• Vosoughi S, Roy D, Aral S (2018) The spread of true and false news online. Science 359(6380):1146–1151.Crossref, Google Scholar
• Wardle F (2018) Fake news. It’s complicated. Accessed June 18, 2021, https://medium.com/1st-draft/fake-news-its-complicated-d0f773766c79.Google Scholar
• Yang K, Varol O, Davis CA, Ferrara E, Flammini A, Menczer F (2019) Arming the public with artificial intelligence to counter social bots. Human Behav. Emerging Tech. 1(1):48–61.Crossref, Google Scholar