Identifying opinion leaders in the #StopHateForProfit campaign through Social Network Analysis

被引:0
作者
Puerta-Diaz, Mirelys [1 ]
Martinez-Avila, Daniel [2 ]
Ovalle-Perandones, Maria-Antonia [3 ]
机构
[1] Univ Estadual Paulista, Fac Filosofia & Ciencias, Dept Ciencia Informacao, Marilia, SP, Brazil
[2] Univ Leon, Fac Filosofia & Letras, Dept Bibliotecon & Documentac, Leon, Spain
[3] Univ Complutense Madrid, Fac Ciencias Documentac, Dept Biblioteconomia & Documentac, Madrid, Spain
来源
REVISTA ESPANOLA DE DOCUMENTACION CIENTIFICA | 2025年 / 48卷 / 01期
关键词
#StopHateForProfit; Facebook; hate speech; social network analysis; USER INFLUENCE; CENTRALITY;
D O I
10.3989/redc.2025.1.1627; 10.3989/redc.2025.1.1627
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
This study addresses the #StopHateForProfit boycott campaign against Facebook from a Social Network Analysis (SNA) perspective, using natural language processing to examine data collected from the Twitter social network site (now X). SNA revealed the international nature of the participating community, and with indicators of degree centrality, betweenness, and closeness metrics, its social structure and most influential actors were examined. The campaign mobilized a diverse range of participants and the formation of a cohesive community was identified. Over 1,000 companies stood out, including major brands like Adidas and Coca-Cola, civil rights advocacy organizations, public figures, entertainment industry representatives, as well as members of civil society. Predominant themes in the overall narrative were identified, sparking discussions on broader issues such as corporate social responsibility, civil rights, social inequalities, and the phenomenon of misinformation.
引用
收藏
页数:23
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