Analyzing the Evolution of Internet Public Opinion Based on Short-Video Network
[Objective]Short videos have become a new medium for spreading Internet public opinion.In order to reveal the evolution characteristics of Internet public opinion spreading through short videos,a method based on short-video network is proposed.[Methods]First,the similarity of short videos'titles,covers and video content is calculated to construct a short-video network.Then,we detect topics from the network based on hierarchical clustering,and measure the sentiment of videos'audios and titles.We also classify video accounts into different categories of stakeholders.Finally,the evolution of public opinion spreading through short videos is analyzed from three dimensions including topics,sentiment and stakeholders.[Results]The results show that the multimodal features of videos and the relationship between videos can be used to effectively describe the evolution of public opinion.And the SSE value of short video topics under the combination of"titles+video covers+video content"is 6.708,which is better than the single modality or combinations of other modalities in the paper.[Limitations]The audios of short videos are crawled from the Douyin platform including background music,and there is a certain deviation for the analysis of audio modality.[Conclusions]The study is helpful to understand the evolution of topics and group emotions in public opinion spreading through short videos,discover the concerns and sentimental evolution of different video accounts,and promptly regulate and guide public opinion.
Evolution of Internet Public OpinionShort-Video NetworkMultimodal FeaturesStakeholder