@inproceedings{8dd5692ab43a4714ac3495a014878a4d,
title = "A Text-Analytic Approach to Deciphering the Roles of Users in Contributing to Collective Storytelling in Social Media",
abstract = "Social media enables the public to openly discuss an ongoing event together. This can be conceived as a process to collectively shape a story about the event on social media. During the process, people tend to post the messages in favor of their own taste, which may collectively influence the formation of public opinion. Thus, we believe that identifying and understanding the roles of social media users in collective storytelling can inform researcher and practitioners to prevent undesirable outcomes or leverage positive impacts from social media conversation. Based on the perspective of narrative and speech act, this study proposes a theoretical approach to categorize the role of social media users in shaping the content of the collectively told story. The illustration study is conducted to demonstrate how the proposed approach can be implemented in a real case.",
keywords = "Collective Storytelling, Narrative, Online Discourse, Social Media Analytics, Speech Act",
author = "Zhengzhi Guan and Boying Li and Fangfang Hou and Chong, \{Alain Yee Long\} and Jason Thatcher",
note = "Publisher Copyright: {\textcopyright} 2022, Association for Information Systems. All rights reserved.; 26th Pacific Asia Conference on Information Systems, PACIS 2022 ; Conference date: 05-07-2022 Through 09-07-2022",
year = "2022",
language = "English",
isbn = "9781958200018",
series = "Pacific Asia Conference on Information Systems",
publisher = "Association for Information Systems",
booktitle = "Pacific Asia Conference on Information Systems, PACIS 2022",
address = "United States",
}