Location
Online
Event Website
https://hicss.hawaii.edu/
Start Date
3-1-2023 12:00 AM
End Date
7-1-2023 12:00 AM
Description
Guided by the Threshold model and Self-justification theory, we propose and test a research model regarding the impact of online discussion activity on users’ behaviors on social media. Specifically, we examine the effects of quote retweeting a tweet related to immigration policies and border issues on users’ subsequent posting behaviors and morality expression. In addition, we test the moderating effect of individual threshold level and behavior-opinion inconsistency on the main effect. Results indicate that individuals, who quote retweeted the selected-topic tweets, are likely to post more topic-related tweets and express more on morality. This impact can be strengthened when individuals have higher threshold levels or larger behavior-opinion inconsistency. These findings provide both theoretical and practical implications for social media governance.
Recommended Citation
Wu, Yan; Du, Qianzhou; Zhang, Xiaohui; and Zhang, John, "The Effects of Quote Retweet on Subsequent Posting Behavior and Morality Expression on Social Media" (2023). Hawaii International Conference on System Sciences 2023 (HICSS-56). 6.
https://aisel.aisnet.org/hicss-56/in/impacts/6
The Effects of Quote Retweet on Subsequent Posting Behavior and Morality Expression on Social Media
Online
Guided by the Threshold model and Self-justification theory, we propose and test a research model regarding the impact of online discussion activity on users’ behaviors on social media. Specifically, we examine the effects of quote retweeting a tweet related to immigration policies and border issues on users’ subsequent posting behaviors and morality expression. In addition, we test the moderating effect of individual threshold level and behavior-opinion inconsistency on the main effect. Results indicate that individuals, who quote retweeted the selected-topic tweets, are likely to post more topic-related tweets and express more on morality. This impact can be strengthened when individuals have higher threshold levels or larger behavior-opinion inconsistency. These findings provide both theoretical and practical implications for social media governance.
https://aisel.aisnet.org/hicss-56/in/impacts/6