2021/09/29 by Jaihyun Park, Park, Jaihyun
Computer Science · Psychology · Social Sciences · #Computers and Society (cs.CY) #FOS: Computer and information sciences #Humor Studies and Applications #K.4 #Sentiment Analysis and Opinion Mining #Social and Cultural Dynamics #Social and Information Networks (cs.SI) #cs.CY #cs.SI
paper · pdf · doi:10.48550/arxiv.2109.14269
Needs substantial work to fix
openalex publication_date 2021/09/29 · arxiv created 2021/10/01 · arxiv updated 2021/10/04 · openalex created_date 2021/10/11 · openalex updated_date 2026/07/28
Social media empowers citizens to raise the voice and expressed civil outrage leads to collective action to change the society. Since social media welcomes anyone regardless of the political ideology or perspectives, social media is where the supporters and opponents of specific issue discuss. This study attempts to empirically examine a recent anti-racism movement initiated by the death of George Floyd with the lens of stance prediction and aspect-based sentiment analysis (ABSA). First, this study found the stance of the tweet and users do change over the course of the protest. Furthermore, there are more users who shifted the stance compared to those who maintained the stance. Second, both supporters and opponents expressed negative sentiment more on nine extracted aspects. This indicates that there was no significant difference of sentiment among supporters and opponents and raise a caution in predicting stance based on the sentiment. The contribution of the study is two-fold. First, ABSA was explored in the context of computational social science and second, stance prediction was first attempted at scale.