  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.
