Sharing Feelings and User Engagement on Twitter: It's All About Me and You

被引:3
作者
Segev, Elad [1 ,2 ]
机构
[1] Tel Aviv Univ, Int Commun, DAN Dept Commun, Tel Aviv, Israel
[2] Tel Aviv Univ, DAN Dept Commun, POB 39040, IL-69978 Tel Aviv, Israel
来源
SOCIAL MEDIA + SOCIETY | 2023年 / 9卷 / 02期
关键词
feelings; personal pronouns; Twitter; semantic network analysis; volume-control model; popularization; personalization; EMOTIONS; INFORMATION; PRONOUNS; POLITICS; FACEBOOK;
D O I
10.1177/20563051231183430
中图分类号
G2 [信息与知识传播];
学科分类号
05 ; 0503 ;
摘要
This study explores how the expression of feelings and the use of personal pronouns on Twitter are associated with user engagement. Unlike most previous studies which focused on the types of emotions that generate user engagement, it uses the volume-control model, which also considers the social dimension of power. Looking at the usage of pronouns, it examines the balance achieved between popular messages that target larger groups and personalized messages that target smaller groups and individuals. The findings show that there is a significant difference between the motivation to share (retweet) and to reply to a message. Users on Twitter tend to retweet messages with popular characteristics, addressing larger groups with positive feelings. On the other hand, replies were associated with more personalized messages and a greater use of negative feelings. Users with more followers and friends presented a balance between popularization and personalization techniques, as their tweets were associated with higher customization of the messages to specific groups yet avoided negative feelings.
引用
收藏
页数:13
相关论文
共 50 条
[1]  
[Anonymous], 1896, The Crowd: A study of the popular mind
[2]   Left- and Right-Leaning News Organizations Use Negative Emotional Content and Elicit User Engagement Similarly [J].
Bellovary, Andrea K. ;
Young, Nathaniel A. ;
Goldenberg, Amit .
AFFECTIVE SCIENCE, 2021, 2 (04) :391-396
[3]   What Makes Online Content Viral? [J].
Berger, Jonah ;
Milkman, Katherine L. .
JOURNAL OF MARKETING RESEARCH, 2012, 49 (02) :192-205
[4]   Fast unfolding of communities in large networks [J].
Blondel, Vincent D. ;
Guillaume, Jean-Loup ;
Lambiotte, Renaud ;
Lefebvre, Etienne .
JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, 2008,
[5]   The secret life of pronouns: Flexibility in writing style and physical health [J].
Campbell, RS ;
Pennebaker, JW .
PSYCHOLOGICAL SCIENCE, 2003, 14 (01) :60-65
[6]   Getting more likes: the impact of narrative person and brand image on customer-brand interactions [J].
Chang, Yaping ;
Li, You ;
Yan, Jun ;
Kumar, V. .
JOURNAL OF THE ACADEMY OF MARKETING SCIENCE, 2019, 47 (06) :1027-1045
[7]  
Chen Emily, 2020, JMIR Public Health Surveill, V6, pe19273, DOI 10.2196/19273
[8]   Feelings and Perspective Matter: Sharing of Crisis Information in Social Media [J].
Chen, Rongjuan ;
Sakamoto, Yasuaki .
2014 47TH HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES (HICSS), 2014, :1958-1967
[9]   Emotion Recognition on Twitter: Comparative Study and Training a Unison Model [J].
Colneric, Niko ;
Demsar, Janez .
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2020, 11 (03) :433-446
[10]  
Coviello L., 2015, PLOS ONE, V10