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Investigating How the Content Semantic Features Influence the Social Media Rumor Refutation Effectiveness

E3S Web of Conferences, 2023, Vol.409, p.06007 [Peer Reviewed Journal]

2023. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2555-0403 ;EISSN: 2267-1242 ;DOI: 10.1051/e3sconf/202340906007

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  • Title:
    Investigating How the Content Semantic Features Influence the Social Media Rumor Refutation Effectiveness
  • Author: Li, Zhixuan ; Li, Zongmin ; Hajiyev, Asaf
  • Subjects: content semantic features ; Digital media ; Effectiveness ; Empirical analysis ; Independent variables ; multiple linear regression model ; regression analysis ; rumor management suggestion ; rumor reputation effectiveness ; Semantics ; Social networks
  • Is Part Of: E3S Web of Conferences, 2023, Vol.409, p.06007
  • Description: 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.
  • Publisher: Les Ulis: EDP Sciences
  • Language: English
  • Identifier: ISSN: 2555-0403
    EISSN: 2267-1242
    DOI: 10.1051/e3sconf/202340906007
  • Source: AUTh Library subscriptions: ProQuest Central
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