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
  1. 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 [Google Scholar]
  2. 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]
  3. PT. (2020, August 6). National Report. Stop AAPI Hate. https://stopaapihate.org/2020/08/05/national-report/ [Google Scholar]
  4. 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]
  5. 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]
  6. 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 [Google Scholar]
  7. 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 [Google Scholar]
  8. 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 [Google Scholar]
  9. 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 [Google Scholar]
  10. Lucero, L. (2017). Safe spaces in online places: social media and LGBTQ youth. Multicultural Education Review, 9 (2), 117–128. [Google Scholar]
  11. 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]
  12. 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]
  13. 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]
  14. 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 [Google Scholar]
  15. 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 [Google Scholar]
  16. 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]
  17. Iqbal, M. (2023). Twitter Revenue and Usage Statistics (2023). Business of Apps. https://www.businessofapps.com/data/twitter-statistics/ [Google Scholar]
  18. 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]
  19. 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 [Google Scholar]
  20. 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 [Google Scholar]

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.