Amplifying Academic Research through YouTube: Engagement Metrics as Predictors of Citation Impact
Olga Zagovora, Talisa Schwal, Katrin Weller
TL;DR
This paper investigates how YouTube engagement metrics, such as likes and comments, can serve as indicators or predictors of the academic impact of cited scientific publications, highlighting social media's role in research dissemination.
Contribution
It introduces a novel analysis linking YouTube engagement data with citation impact, providing insights into social media's influence on academic research visibility.
Findings
Videos citing scientific publications tend to have higher engagement.
High engagement correlates with increased citation impact.
YouTube metrics may predict influential research outcomes.
Abstract
This study explores the interplay between YouTube engagement metrics and the academic impact of cited publications within video descriptions, amid declining trust in traditional journalism and increased reliance on social media for information. By analyzing data from Altmetric.com and YouTube's API, it assesses how YouTube video features relate to citation impact. Initial results suggest that videos citing scientific publications and garnering high engagement-likes, comments, and references to other publications-may function as a filtering mechanism or even as a predictor of impactful research.
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