Description
Social networks are now a key tool for engaging individuals to come together to create a social movement. In some instances, when these movements progress, a social crisis ensues, which is also directly impacted by the use of social networks. In this research, we consider an anonymous and an identifiable traditional social network and how they were used differently during the Concerned Student 1950 social crisis at the University of Missouri in 2015. By evaluating the sentiment and extremity of Yaks and Tweets, we develop an engagement model that highlights the differences between two different platforms. Practically, this research will help communities understand the use of anonymous social networks during a social crisis. Theoretically, future social media research may integrate the proposed model for better understanding of both the positive and negative sides of social network usage behaviors.
Recommended Citation
Gerhart, Natalie and Koohikamali, Mehrdad, "Sentiment Analysis of Yaks and Tweets during the Concerned Student 1950 Social Crisis" (2017). AMCIS 2017 Proceedings. 1.
https://aisel.aisnet.org/amcis2017/SocialComputing/Presentations/1
Sentiment Analysis of Yaks and Tweets during the Concerned Student 1950 Social Crisis
Social networks are now a key tool for engaging individuals to come together to create a social movement. In some instances, when these movements progress, a social crisis ensues, which is also directly impacted by the use of social networks. In this research, we consider an anonymous and an identifiable traditional social network and how they were used differently during the Concerned Student 1950 social crisis at the University of Missouri in 2015. By evaluating the sentiment and extremity of Yaks and Tweets, we develop an engagement model that highlights the differences between two different platforms. Practically, this research will help communities understand the use of anonymous social networks during a social crisis. Theoretically, future social media research may integrate the proposed model for better understanding of both the positive and negative sides of social network usage behaviors.