Linguistic features influencing information diffusion in social networks: A systematic review

被引:0
作者
Dzanko, Lejla [1 ,3 ]
Suitner, Caterina [2 ]
Erseghe, Tomaso [3 ]
Nikadon, Jan [1 ,4 ]
Formanowicz, Magdalena [1 ]
机构
[1] SWPS Univ Sciaol Sci & Humanities, Ctr Res Social Relat, Warsaw, Poland
[2] Univ Padua, Dept Dev Psychol & Socializat, Padua, Italy
[3] Univ Padua, Dept Informat Engn, Padua, Italy
[4] Nicolaus Copernicus Univ, Dept Cognit Sci, Torun, Poland
来源
COMPUTERS IN HUMAN BEHAVIOR REPORTS | 2025年 / 18卷
关键词
Information diffusion; Linguistic features; Online social media; Homophily; Social influence; AUTOMATED TEXT ANALYSIS; SENTIMENT ANALYSIS; MORALIZED CONTENT; MEDIA; EMOTIONS; RETWEET; STRATEGIES; TWITTER; ENHANCEMENT; MICROBLOGS;
D O I
10.1016/j.chbr.2025.100626
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
This review summarizes research empirically addressing the link between linguistic features and spread of information in online social media. N = 85 studies were selected for the review. Features that consistently had a positive effect on diffusion were information value, words pertaining to social connection, as well as engaging, concrete and powerful language style. Instead, effects of sentiment polarity (positive vs. negative), basic emotions, and morality vary in their relation with diffusion. We also noted whether the diffusion has been investigated as influence- or homophily-based, i.e., whether the sharing occurred as the result of the message exposure or simply because of inherent similarity between the users. This difference in sharing was considered in only n = 7 of the selected works, of which only n = 2 identified features that positively affect both processes.
引用
收藏
页数:21
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