Exploring Social Media’s Fascination with Scholarly Research on Fake News: Insights from 500 Viral Studies

This study presents a comprehensive analysis of the dissemination patterns and societal impact of the 500 most-discussed research articles on “fake news”. By examining Altmetric Attention Score (AAS) data, year-wise distribution, and citation metrics, we document a profound shift in scholarly communication from traditional, reader-based metrics to a dynamic, social media-dominated landscape. The findings reveal the meteoric rise of X (formerly Twitter) as the central hub for public discussion, alongside the emergence of new platforms like Bluesky, while traditional academic readers (e.g., Mendeley) remain significant for literature. Analysis of influential fields shows that while Psychology, Biomedical, and Health Sciences are the most productive, research from Information and Computing Sciences garners the highest median public attention per article, highlighting a societal demand for technological solutions. A small group of authors from elite Anglo-American institutions leads the field in both output and impact, and their work is predominantly published in high-prestige journals such as Nature and Science. Crucially, a correlation analysis reveals a statistically insignificant, near-zero relationship between an article’s citation count and its AAS (r = 0.066, p = 0.141). This decoupling indicates that scholarly impact and public engagement are distinct, non-overlapping spheres. The study concludes that the fight against misinformation is being waged on two separate fronts: one within the academic community, measured by citations, and another in the public sphere, driven by social media. This necessitates a strategic approach from researchers seeking societal impact, who must actively engage with public dissemination channels beyond traditional academic publishing.