Uncovering Peer Production's Homogeneity: A Synthesis of Serious Information and Entertainment
Within the realm of peer production, this study explores whether individuals are inclined to generate entertainment content or serious information, and whether these forms of content creation are in competition. The analysis encompassed 315,916 articles edited by 8,551 editors on Baidu Baike, a platform analogous to Wikipedia. Utilizing a pre-trained neural network language model, the articles were categorized to discern editorial preferences in content modification. Social network analysis and fixed effects models illuminated consistent patterns in individuals’ propensities toward diverse content editing behaviors, underscoring the interplay between entertainment and serious content production. These findings deepen our understanding of users’ preferences and motivations in content creation and editing, while also contributing to our insights into the actors involved in science and health communication initiatives.Powered by Seed HypermediaOpen App