Issue |
SHS Web Conf.
Volume 190, 2024
2024 International Conference on Educational Development and Social Sciences (EDSS 2024)
|
|
---|---|---|
Article Number | 02003 | |
Number of page(s) | 11 | |
Section | Social Public Management and Humanities Exploration | |
DOI | https://doi.org/10.1051/shsconf/202419002003 | |
Published online | 18 April 2024 |
A Critical Discourse Analysis on the #StopAsianHate movement: Using Topic Modeling through MDCOR to Identify the Most Salient Themes from the Perspective of Social Representations Theory
1 University of California Davis, Davis, 95618, USA
2 School of Social Sciences, University of Manchester, Manchester, M13 9PL, UK
3 School of Public Affairs, Zhejiang University, Hangzhou, 310058, China
4 Suzhou North America High School, Suzhou, 215128, China
*a hunkeisbest@gmail.com
b nov_aurorae@163.com
c zhou_129600@126.com
d 13861045709@163.com
The Atlanta Spa shooting evoked the Stop Asian Hate movement in the US. This study examines what primary topics were covered in Twitter discourse in #StopAsianHate and which phases of collective symbolic coping emerged from the perspective of social representations theory. 21,474 tweets in #StopAsianHate on Twitter in the first weeks from May to August were analyzed by topic modeling using MDCOR. The results of this research showed that the phases of awareness and divergence emerged in the discourse, while the phases of convergence and normalization remained unidentified. The knowledge generated in this research may contribute to identifying the main topics that appeared in #StopAsianHate on Twitter, and it may also inform the supporters of the Stop Asian Hate movement about the following actions.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.