Research on the Influence of Uploaders’ Behavior on the Effect of Bullet Screen Video Dissemination

Autor: Wei Qi, Yedan Li, Meng Song, Xinzhe Zhang
Rok vydání: 2021
Předmět:
Zdroj: Advances in Intelligent Automation and Soft Computing ISBN: 9783030810061
DOI: 10.1007/978-3-030-81007-8_91
Popis: This study examines the factors of uploaders’ behavior that have an impact on the spread of bullet screen video. A model framework was built and empirically tested with a sample of 9904 pieces of video data information. The analysis concludes that the category of bullet screen video affects its dissemination effect. The number of videos clicked, coins, favorites, comments, the frequency of video submissions and the type of video uploaded positively impact the spread of videos, while the number of shares and collections negatively impacts. This study also suggests that the video title and duration have no significant impact on bullet screen numbers.
Databáze: OpenAIRE