Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
CrossRef.
Flynn, D.J.
Nyhan, Brendan
and
Reifler, Jason
2017.
The Nature and Origins of Misperceptions: Understanding False and Unsupported Beliefs About Politics.
Political Psychology,
Vol. 38,
Issue. ,
p.
127.
Meinert, Judith
Mirbabaie, Milad
Dungs, Sebastian
and
Aker, Ahmet
2018.
Social Computing and Social Media. User Experience and Behavior.
Vol. 10913,
Issue. ,
p.
484.
Tucker, Joshua
Guess, Andrew
Barbera, Pablo
Vaccari, Cristian
Siegel, Alexandra
Sanovich, Sergey
Stukal, Denis
and
Nyhan, Brendan
2018.
Social Media, Political Polarization, and Political Disinformation: A Review of the Scientific Literature.
SSRN Electronic Journal,
Van Bavel, Jay J.
and
Pereira, Andrea
2018.
The Partisan Brain: An Identity-Based Model of Political Belief.
Trends in Cognitive Sciences,
Vol. 22,
Issue. 3,
p.
213.
Wintersieck, Amanda
Fridkin, Kim
and
Kenney, Patrick
2018.
The Message Matters: The Influence of Fact-Checking on Evaluations of Political Messages.
Journal of Political Marketing,
p.
1.
Baum, Seth
2018.
Countering Superintelligence Misinformation.
Information,
Vol. 9,
Issue. 10,
p.
244.
Hynes, Mike
2018.
Shining a brighter light into the digital ‘black box’: A call for stronger sociological (re)engagement with digital technology design, development and adoption debates.
Irish Journal of Sociology,
Vol. 26,
Issue. 1,
p.
94.
Kane, Aimee A.
Kiesler, Sara
and
Kang, Ruogu
2018.
Inaccuracy Blindness in Collaboration Persists, even with an Evaluation Prompt.
p.
1.
Fernandez, Miriam
and
Alani, Harith
2018.
Online Misinformation.
p.
595.
Rachavelias, Michail G.
2019.
Online financial crimes and fraud committed with electronic means of payment—a general approach and case studies in Greece.
ERA Forum,
Vol. 19,
Issue. 3,
p.
339.
Korsunska, Ania
2019.
Information in Contemporary Society.
Vol. 11420,
Issue. ,
p.
162.
Carpenter, Christopher J.
2019.
Cognitive dissonance, ego-involvement, and motivated reasoning.
Annals of the International Communication Association,
Vol. 43,
Issue. 1,
p.
1.
Hjorth, Frederik
and
Adler-Nissen, Rebecca
2019.
Ideological Asymmetry in the Reach of Pro-Russian Digital Disinformation to United States Audiences.
Journal of Communication,
Vol. 69,
Issue. 2,
p.
168.
Ji, Jiaojiao
Chao, Naipeng
and
Ding, Jieyu
2019.
Rumormongering of genetically modified (GM) food on Chinese social network.
Telematics and Informatics,
Vol. 37,
Issue. ,
p.
1.
Spilker, Gabriele
Nguyen, Quynh
and
Bernauer, Thomas
2020.
Trading Arguments: Opinion Updating in the Context of International Trade Agreements.
International Studies Quarterly,
Vol. 64,
Issue. 4,
p.
929.
Carey, John M.
Chi, Victoria
Flynn, D. J.
Nyhan, Brendan
and
Zeitzoff, Thomas
2020.
The effects of corrective information about disease epidemics and outbreaks: Evidence from Zika and yellow fever in Brazil.
Science Advances,
Vol. 6,
Issue. 5,
p.
eaaw7449.
van der Meer, Toni G. L. A.
and
Jin, Yan
2020.
Seeking Formula for Misinformation Treatment in Public Health Crises: The Effects of Corrective Information Type and Source.
Health Communication,
Vol. 35,
Issue. 5,
p.
560.
Dhanashree
Garg, Himani
Chauhan, Anjali
Bhatia, Manisha
Sethi, Gaurav
and
Chauhan, Gopal
2020.
Role of mass media and it’s impact on general public during coronavirus disease 2019 pandemic in North India: An online assessment.
Indian Journal of Medical Sciences,
Vol. 0,
Issue. ,
p.
1.
Walter, Nathan
and
Tukachinsky, Riva
2020.
A Meta-Analytic Examination of the Continued Influence of Misinformation in the Face of Correction: How Powerful Is It, Why Does It Happen, and How to Stop It?.
Communication Research,
Vol. 47,
Issue. 2,
p.
155.
Morris, David S.
Morris, Jonathan S.
and
Francia, Peter L.
2020.
A fake news inoculation? Fact checkers, partisan identification, and the power of misinformation.
Politics, Groups, and Identities,
Vol. 8,
Issue. 5,
p.
986.