| Issue |
E3S Web Conf.
Volume 409, 2023
International Conference on Management Science and Engineering Management (ICMSEM 2023)
|
|
|---|---|---|
| Article Number | 06007 | |
| Number of page(s) | 9 | |
| Section | Risk Assessment | |
| DOI | https://doi.org/10.1051/e3sconf/202340906007 | |
| Published online | 01 August 2023 | |
Investigating How the Content Semantic Features Influence the Social Media Rumor Refutation Effectiveness
1 Business School, Sichuan University, Chengdu 610065, People’s Republic of China
2 Azerbaijan National Academy of Sciences, Baku, Azerbaijan
* e-mail: lizongmin@scu.edu.cn
Due to the widespread use of internet and social media, rumors can quickly spread to every corner of the world. Therefore, it’s important to repute rumors precisely. In order to investigate how content semantic features affect the effectiveness of rumor reputation, this paper crawls 55847 reposts and 77080 comments data of 251 rumor reputation microblogs for empirical analysis. Reputation effectiveness index (REI) is chosen as the response variable. Independent variables are defined from two aspects, that is content factors and semantic factors. This paper also set creator factors as control variables to exclude infection by other variables. Our research proved that some independent variables (the number of “!”, the presence of an obvious title and hot topics) have a significantly positive relationship with REI. Moreover, under different topics, hot topics have different enhancing effects on REI. Finally, some suggestions about rumor management are proposed.
Key words: Content semantic features / Rumor reputation effectiveness / Rumor management suggestion / Multiple linear regression model / Regression analysis
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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