This study identifies the psychological drivers behind political fake news sharing on Twitter, testing three competing explanations: ignorance, disruptive intent, and partisan polarization.

📊 What Was Analyzed

• A mapped psychological profile of more than 2,300 American Twitter users
• Linked behavioral sharing data from those accounts
• Sentiment analyses of over 500,000 news-story headlines

🔍 How Motivations Were Tested

• Psychological measures captured attitudes toward political opponents and other relevant traits
• Behavioral sharing records used to identify who shared political fake news
• Sentiment analysis of headlines used to assess the partisan and derogatory utility of shared items
• Three hypotheses contrasted: lack of knowledge (ignorance), desire to disrupt the social order (disruption), and partisan animus (polarization)

📈 Key Findings

• The ignorance hypothesis is contradicted: sharing is not primarily explained by lack of knowledge or laziness
• Some evidence supports the disruption hypothesis: a minority appear motivated by oppositional, destabilizing goals
• Strong support for the partisan polarization hypothesis: individuals who report hating political opponents are the most likely to share political fake news
• These users selectively share content that helps derogate opponents
• Overall, fake news sharing mirrors the same psychological motivations that drive other partisan sharing, including from traditional and credible news sources

⚖️ Why It Matters

• The results indicate that partisan animus, more than ignorance, drives much political fake news circulation on Twitter
• Understanding these motivations reframes mitigation strategies: addressing partisan incentives may be as important as accuracy-focused interventions