The Impact of the Spread of Epidemic Rumors on Audience Cognition Under the Algorithm Recommendation

分类： 数字出版 >> 数字技术 提交时间： 2023-07-23

Zhu Xuan

摘要： In the era of the epidemic, the development of scientific and technology for Internet communication has also provided a medium for algorithm recommendation in the context of big data in modern China. In social media platforms, users can browse by searching for the content they are interested in, and then the big data will record the content that each audience is interested in through calculations, and recommend relevant content to users in the process. Through Pearson correlation analysis, the perception analysis of rumor contact frequency and rumor information cascade effect shows that people's contact frequency of rumors is significantly positively correlated with the number of rumors recommended by the platform they perceive. Taking the COVID-19 rumors in social media platforms as the research object, using the information cascade theory and the primacy effect as the theoretical basis, this paper uses the audience survey method to analyze the impact of the spread of COVID-19 rumors on social media platforms on the audience, and finds that people's contact frequency of rumors is significantly positively correlated with the number of rumors recommended by the platform they perceive.

同行评议状态:待评议

 点击量 134  下载量 78  评论