Beyond anger: uncovering complex emotional patterns between cyberbullying roles through affective computing and epistemic network analysis.

Although emotions are regarded as essential in automatic cyberbullying detection, the nuanced links between emotion types and roles remain underexplored. The dynamics of cyberbullying are therefore somewhat ambiguous. To address these issues, we analyzed the emotional patterns and connections betwee...

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Publicado en:Humanities & Social Sciences Communications Vol. 12; no. 1; pp. 1 - 14
Autores principales: Zhong, Jinping, Mo, Yilan, Zhang, Junyi, Liu, Panpan, Luo, Xianfei, Liu, Lixiang, Ding, Ruofei, Huang, Jingxiu, Zheng, Yunxiang
Formato: Artículo
Publicado: Springer Nature 8/8/2025
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 8/8/2025
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        10.1057/s41599-025-05689-9
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        atl: Beyond anger: uncovering complex emotional patterns between cyberbullying roles through affective computing and epistemic network analysis.
      aug:
        au:
          Zhong, Jinping
          Mo, Yilan
          Zhang, Junyi
          Liu, Panpan
          Luo, Xianfei
          Liu, Lixiang
          Ding, Ruofei
          Huang, Jingxiu
          Zheng, Yunxiang
        affil:
          https://ror.org/01kq0pv72 School of Educational Information Technology, South China Normal University, Guangzhou, China
          https://ror.org/0384j8v12 Sydney School of Education and Social Work, The University of Sydney, Sydney, NSW, Australia
      su:
        Cyberbullying
        Affective computing
        Bullying
        Social media
        Human behavior
        Concept mapping
      sug:
        subj:
          Cyberbullying
          Affective computing
          Bullying
          Social media
          Human behavior
          Concept mapping
      keyword: Psychology and Cognitive Sciences Psychology
      ab: Although emotions are regarded as essential in automatic cyberbullying detection, the nuanced links between emotion types and roles remain underexplored. The dynamics of cyberbullying are therefore somewhat ambiguous. To address these issues, we analyzed the emotional patterns and connections between five cyberbullying roles (bullies, outsiders, assistants, defenders, and reporters) on a Chinese social media platform. Six emotions were extracted from 11,601 comments using a large pre-trained model for affective computing. Through epistemic network analysis, this study identified three co-occurrence patterns of emotional expressions among these roles, namely, anger-dominated negative pattern, happiness-anger conflicting pattern, and surprise-fear moderate pattern. Beyond just Angry, three emotions (Fearful, Happy, and Surprised) varied significantly among nearly all roles. In addition to the valence of emotions, the position of these roles within the overall network may also be associated with different levels of emotional arousal. Results of subtracted networks for three role pairs further indicated that these emotional co-occurrences may help identify roles for their perceptions, judgments, and intentions regarding others. These insights hold promise for enhancing targeted bullying detection and intervention.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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