Literature DB >> 33705405

Detecting fake news on Facebook: The role of emotional intelligence.

Stephanie Preston1, Anthony Anderson1, David J Robertson1, Mark P Shephard2, Narisong Huhe2.   

Abstract

The proliferation of fake news on social media is now a matter of considerable public and governmental concern. In 2016, the UK EU referendum and the US Presidential election were both marked by social media misinformation campaigns, which have subsequently reduced trust in democratic processes. More recently, during the COVID-19 pandemic, the acceptance of fake news has been shown to pose a threat to public health. Research on how to combat the false acceptance of fake news is still in its infancy. However, recent studies have started to focus on the psychological factors which might make some individuals less likely to fall for fake news. Here, we adopt that approach to assess whether individuals who show high levels of 'emotional intelligence' (EQ) are less likely to fall for fake news items. That is, are individuals who are better able to disregard the emotionally charged content of such items, better equipped to assess the veracity of the information. Using a sample of UK participants, an established measure of EQ and a novel fake news detection task, we report a significant positive relationship between individual differences in emotional intelligence and fake news detection ability. We also report a similar effect for higher levels of educational attainment, and we report some exploratory qualitative fake news judgement data. Our findings are discussed in terms of their applicability to practical short term (i.e. current Facebook user data) and medium term (i.e. emotional intelligence training) interventions which could enhance fake news detection.

Entities:  

Mesh:

Year:  2021        PMID: 33705405      PMCID: PMC7951906          DOI: 10.1371/journal.pone.0246757

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  11 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2013-03-11       Impact factor: 11.205

9.  Lazy, not biased: Susceptibility to partisan fake news is better explained by lack of reasoning than by motivated reasoning.

Authors:  Gordon Pennycook; David G Rand
Journal:  Cognition       Date:  2018-06-20

10.  Coronavirus Goes Viral: Quantifying the COVID-19 Misinformation Epidemic on Twitter.

Authors:  Ramez Kouzy; Joseph Abi Jaoude; Afif Kraitem; Molly B El Alam; Basil Karam; Elio Adib; Jabra Zarka; Cindy Traboulsi; Elie W Akl; Khalil Baddour
Journal:  Cureus       Date:  2020-03-13
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  5 in total

1.  Factors influencing fake news rebuttal acceptance during the COVID-19 pandemic and the moderating effect of cognitive ability.

Authors:  Xin Wang; Fan Chao; Guang Yu; Kaihang Zhang
Journal:  Comput Human Behav       Date:  2021-12-31

Review 2.  Infodemic and fake news - A comprehensive overview of its global magnitude during the COVID-19 pandemic in 2021: A scoping review.

Authors:  Vimala Balakrishnan; Wei Zhen Ng; Mun Chong Soo; Gan Joo Han; Choon Jiat Lee
Journal:  Int J Disaster Risk Reduct       Date:  2022-07-01       Impact factor: 4.842

3.  Who falls for fake news? Psychological and clinical profiling evidence of fake news consumers.

Authors:  Álex Escolà-Gascón; Neil Dagnall; Andrew Denovan; Kenneth Drinkwater; Miriam Diez-Bosch
Journal:  Pers Individ Dif       Date:  2022-09-07

4. 

Authors:  Catherine Beauvais
Journal:  Rev Rhum Ed Fr       Date:  2022-09-21

5.  Fake news: Why do we believe it?

Authors:  Catherine Beauvais
Journal:  Joint Bone Spine       Date:  2022-03-04       Impact factor: 5.263

  5 in total

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