Year: 2025
Type: article
Study design: Observational Study
Abstract: In this study, we conducted a web survey (N=880) targeting users of YouTube and Yahoo!News to examine the usage patterns and motivations behind the commenting feature across different content genres.Cluster analysis revealed that genres could be classified based on access frequency (low, medium, high), comment frequency (active, inactive), and usage type (posting, viewing).Multiple regression analysis showed that motivations for posting and viewing comments influenced the frequency of comment usage, with variations depending on the genre.Additionally, notable differences were observed between YouTube and Yahoo!News.These findings suggest that the optimal use of commenting features varies by platform and content genre.
Language: Japanese
Subfield: Communication
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7208436221