Open Access
| 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 | |
- Mallapaty, S. (2021). After the WHO report: what’s next in the search for COVID’s origins. Nature, 592(7854), 337–338. https://doi.org/10.1038/d41586-021-00877-4 [CrossRef] [Google Scholar]
- Yam, K. (2021, March 9). Anti-Asian hate crimes increased by nearly 150% in 2020, mostly in N.Y. and L.A., new report says. NBC News. https://www.nbcnews.com/news/asian-america/anti-asian-hate-crimes-increased-nearly-150-2020-mostly-n-n1260264 [Google Scholar]
- PT. (2020, August 6). National Report. Stop AAPI Hate. https://stopaapihate.org/2020/08/05/national-report/ [Google Scholar]
- Taylor, D. B., & Hauser, C. (2021, March 17). What to Know About the Atlanta Spa Shootings. The New York Times. https://www.nytimes.com/2021/03/17/us/atlanta-spa-shootings.html [Google Scholar]
- Moscovici, S. (1972). Theory and society in social psychology In J. Isreal & H. Tajfel (Eds.), The context of social psychology: A critical assessment. Academic. [Google Scholar]
- Westerman, D., Spence, P. R., & Van Der Heide, B. (2014). Social Media as Information Source: Recency of Updates and Credibility of Information. Journal of Computer-Mediated Communication, 19(2), 171–183. https://doi.org/10.1111/jcc4.12041 [CrossRef] [Google Scholar]
- Wagner, W., Kronberger, N., & Seifert, F. (2002). Collective symbolic coping with new technology: Knowledge, images and public discourse. British Journal of Social Psychology, 41(3), 323–343. https://doi.org/10.1348/014466602760344241 [CrossRef] [Google Scholar]
- Idoiaga Mondragon, N., Gil de Montes Echaide, L., Asla Alcibar, N., & Larrañaga Eguileor, M. (2020). “La Manada” in the digital sphere: coping with a sexual aggression case through Twitter. Feminist Media Studies, 20(7), 926–943. https://doi.org/10.1080/14680777.2019.1643387 [CrossRef] [Google Scholar]
- Klassen, S., Kingsley, S., McCall, K., Weinberg, J., & Fiesler, C. (2021). More than a Modern Day Green Book: Exploring the Online Community of Black Twitter. Proceedings of the ACM on HumanComputer Interaction, 5(CSCW2), 1–29. https://doi.org/10.1145/3479602 [CrossRef] [Google Scholar]
- Lucero, L. (2017). Safe spaces in online places: social media and LGBTQ youth. Multicultural Education Review, 9 (2), 117–128. [CrossRef] [Google Scholar]
- Mueller, A., Wood-Doughty, Z., Amir, S., Dredze, M., & Nobles, A. L. (2020). Demographic Representation and Collective Storytelling in the Me Too Twitter Hashtag Activism Movement. Proceedings of the ACM on Human-Computer Interaction, 5(CSCW1), 1–28. https://doi.org/10.1145/3449181 [Google Scholar]
- Lee, C. S., & Jang, A. (2021). Questing for Justice on Twitter: Topic Modeling of #StopAsianHate Discourses in the Wake of Atlanta Shooting. Crime & Delinquency, 001112872110578. https://doi.org/10.1177/00111287211057855 [Google Scholar]
- Tong, X., Li, Y., Li, J., Bei, R., & Zhang, L. (2022). What are People Talking about in #BackLivesMatter and #StopAsianHate? Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society. https://doi.org/10.1145/3514094.3534202 [Google Scholar]
- Stubbs-Richardson, M., Rader, N. E., & Cosby, A. G. (2018). Tweeting rape culture: Examining portrayals of victim blaming in discussions of sexual assault cases on Twitter. Feminism & Psychology, 28(1), 90–108. https://doi.org/10.1177/0959353517715874 [CrossRef] [Google Scholar]
- Sills, S., Pickens, C., Beach, K., Jones, L., Calder-Dawe, O., Benton-Greig, P., & Gavey, N. (2016). Rape culture and social media: young critics and a feminist counterpublic. Feminist Media Studies, 16(6), 935–951. https://doi.org/10.1080/14680777.2015.1137962 [CrossRef] [Google Scholar]
- Writes, S. (2022, August 19). 8 Top Ranking Microblogging Websites New Bloggers Must Know. Medium. https://medium.com/@samuelsabina2/http-8-top-ranking-microblogging-websites-new-bloggers-must-know-ec7c1a0b7b2e [Google Scholar]
- Iqbal, M. (2023). Twitter Revenue and Usage Statistics (2023). Business of Apps. https://www.businessofapps.com/data/twitter-statistics/ [Google Scholar]
- Ho, C.-T., Li, C.-T., & Lin, S.-D. (2011). Modeling and Visualizing Information Propagation in a Microblogging Platform. 2011 International Conference on Advances in Social Networks Analysis and Mining. https://doi.org/10.1109/asonam.2011.37 [Google Scholar]
- Park, C. S. (2013). Does Twitter motivate involvement in politics? Tweeting, opinion leadership, and political engagement. Computers in Human Behavior, 29(4), 1641–1648. https://doi.org/10.1016/j.chb.2013.01.044 [CrossRef] [Google Scholar]
- González Canché, M. S. (2023). Machine driven classification of open-ended responses (MDCOR): An analytic framework and no-code, free software application to classify longitudinal and crosssectional text responses in survey and social media research. Expert Systems with Applications, 215, 119265. https://doi.org/10.1016/j.eswa.2022.119265 [CrossRef] [Google Scholar]
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