TRUTH, FEAR, AND VIRALITY: A CROSS-PLATFORM CONTENT ANALYSIS OF HEALTH MISINFORMATION NARRATIVES ON SOCIAL MEDIA
DOI:
https://doi.org/10.63878/qrjs969Abstract
Social media platforms have emerged as dominant conduits for health information, yet they simultaneously facilitate the accelerated diffusion of health misinformation with demonstrable consequences for public health outcomes. Despite a growing body of scholarship on the spread of misinformation, the mechanisms by which narrative and emotional content interact with platform-level algorithmic structures to produce differential virality remain undertheorized. This study addresses that gap through a systematic, cross-platform content analysis of 1,000 posts sampled from Twitter/X (n = 250), Facebook (n = 250), TikTok (n = 250), and YouTube (n = 250). Drawing on emotional contagion theory (Hatfield et al., 1993), algorithmic amplification frameworks (Gillespie, 2014), and misinformation diffusion models (Vosoughi et al., 2018), a theoretically grounded coding scheme was applied to assess misinformation typology, emotional tone, narrative framing, source credibility, and engagement metrics. Intercoder reliability was established at Cohen's κ = .82. Findings reveal that 48% of sampled content contained misinformation, with the highest prevalence on TikTok and Facebook. Fear-based narratives accounted for 62% of misinformation posts and generated 2.3 times as many shares and 1.8 times as many comments as equivalent factual content. Approximately 70% of misinformation originated from non-expert influencers, while medically credentialed sources contributed fewer than 15% of total posts. These patterns confirm that virality is not incidental but is structurally produced through the interaction of emotionally charged narrative content and engagement-optimizing algorithmic systems. The study contributes an integrated cross-platform analytical model to misinformation research and advances empirically grounded recommendations for platform governance, emotion-aware public health communication, and digital health literacy interventions.

