Everyday non-partisan fake news: Sharing behavior, platform specificity, and detection

Area of Science:

• Psychology
• Media Studies
• Political Science

Background:

• Growing concern exists regarding the impact of fake news on significant socio-political events.
• Previous research has concentrated on hyper-partisan and emotive fake news, overlooking subtler forms.
• Misinformation's role in events like the UK EU referendum and US presidential election highlights the need for broader fake news research.

Purpose of the Study:

• To investigate sharing intentions and detection abilities for less overt forms of fake news.
• To explore the influence of psychological factors (critical thinking, rational thinking, emotional stability) on fake news dissemination and identification.
• To identify platform-specific sharing patterns and topic-based vulnerabilities to fake news.

Main Methods:

• A three-part study involving participants assessing their fake news sharing intentions and detection capabilities.
• Analysis of psychological measures including critical thinking, rational thinking, and emotional stability.
• Examination of sharing preferences across various social media platforms (Facebook, Twitter, Instagram, WhatsApp) and news topics (Crime, Immigration, Health).

Main Results:

• Participants, including political science students, demonstrated susceptibility to fake news.
• Health and crime-related fake news were shared more frequently than immigration-related content.
• Emotional stability was a significant predictor of sharing behavior, whereas rational thinking ability correlated with detection accuracy.

Conclusions:

• Fake news detection and sharing are influenced by individual psychological traits.
• Interventions should consider topic-specific vulnerabilities and platform preferences for greater efficacy.
• Findings offer insights for policymakers, educators, and social media companies to combat misinformation.