TY - JOUR
T1 - Sharing Feelings and User Engagement on Twitter
T2 - It’s All About Me and You
AU - Segev, Elad
N1 - Publisher Copyright:
© The Author(s) 2023.
PY - 2023/4/1
Y1 - 2023/4/1
N2 - 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.
AB - 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.
KW - Twitter
KW - feelings
KW - personal pronouns
KW - personalization
KW - popularization
KW - semantic network analysis
KW - volume-control model
UR - http://www.scopus.com/inward/record.url?scp=85163770040&partnerID=8YFLogxK
U2 - 10.1177/20563051231183430
DO - 10.1177/20563051231183430
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AN - SCOPUS:85163770040
SN - 2056-3051
VL - 9
JO - Social Media and Society
JF - Social Media and Society
IS - 2
ER -