The digital spectator activities of Twitter users on the issue of the anti-terrorism bill in the Philippines
Abstract
Keywords
Full Text:
PDFReferences
Alingasa, A. P., & Ofreneo, M. A. (2020). “Fearless, powerful, Filipino”: Identity positioning in the hashtag activism of #BabaeAko. Feminist Media Studies, 21(4), 587-603. https://doi.org/10.1080/14680777.2020.1791927
Anderson, P. (2019). ‘Independence 2.0’: Digital activism, social media, and the Catalan independence movement. Catalan Journal of Communication & Cultural Studies, 11(2), 191-207. https://doi.org/10.1386/cjcs_00003_1
Bashir, S., Bano, S., Shueb, S., Gul, S., Mir, A. A., Ashraf, R., & Noor, N. (2021). Twitter chirps for Syrian people: Sentiment analysis of tweets related to Syria chemical attack. International Journal of Disaster Risk Reduction, 62, 102397. https://doi.org/10.1016/j.ijdrr.2021.102397
Boaz, J. L., Ybañez, M., De Leon, M. M., Estuar, M., & Regina, E. (2013). Understanding the behavior of Filipino Twitter users during disaster. Journal on Computing, 3(2), 1-6. https://doi.org/10.7603/S40601-013-0007-Z
Flor, N. V. (2014). OILS Twitter scraper. Albuquerque.
George, J. J., & Leidner, D. E. (2019). From clicktivism to hacktivism: Understanding digital activism. Information and Organization, 29(3), 100249. https://doi.org/10.1016/j.infoandorg.2019.04.001
Guevarra, A. R., & Arcilla, M. (2020). The source of actual terror: The Philippines macho-fascist Duterte. Feminist Studies, 46(2). https://doi.org/10.15767/feministstudies.46.2.0489
Gutierrez, M., & Milan, S. (2017). Technopolitics in the age of big data. In Networks, movements & technopolitics in Latin America: Critical analysis and current challenges, edited by F. Sierra Caballero and Tommaso Gravante, Palgrave Macmillan, 95-109. https://ssrn.com/abstract=2935141
Haßler, J., Wurst, A. K., Jungblut, M., & Schlosser, K. (2021). Influence of the pandemic lockdown on Fridays for future’s hashtag activism. New Media & Society, 1-23. https://doi.org/10.1177/14614448211026575
Jain, A. P., & Katkar, V. D. (2015, December). Sentiments analysis of Twitter data using data mining. In 2015 International Conference on Information Processing (ICIP) (pp. 807-810). IEEE. https://doi.org/10.1109/INFOP.2015.7489492
Karamat, A., & Farooq, D. A. (2020). Emerging role of social media in political activism: Perceptions and practices. South Asian Studies, 31(1). http://journals.pu.edu.pk/journals/index.php/IJSAS/article/view/3053
Kimball, R., Ross, M., Thorthwaite, W., Becker, B., & Mundy, J. (2008). The data warehouse lifecycle toolkit. John Wiley & Sons. https://www.kimballgroup.com/data-warehouse-business-intelligenceresources/books/data-warehouse-dwlifecycle-toolkit/
Konnelly, A. (2015). #Activism identity, affiliation, and political discourse-making on Twitter. The Arbutus Review, 6(1), 1-16. https://doi.org/10.18357/ar.konnellya.612015
Li, M., Turki, N., Izaguirre, C. R., DeMahy, C., Thibodeaux, B. L., & Gage, T. (2020). Twitter as a tool for social movement: An analysis of feminist activism on social media communities. Journal of Community Psychology, 49(3), 854-868. https://doi.org/10.1002/jcop.22324
Lin, J., & Ryaboy, D. (2013). Scaling big data mining infrastructure: The Twitter experience. ACM SIGKDD Explorations Newsletter, 14(2), 6-19. https://doi.org/10.1145/2481244.2481247
Lindgren, S. (2013). The potential and limitations of Twitter activism: Mapping the 2011 Libyan uprising. Open Access Journal for a Global Sustainable Information Society, 11(1), 207-220. https://doi.org/10.31269/triplec.v11i1.475
Lyew, B. H. (2010). An examination of the Philippines’ anti-Terror Law—Suaviter in Modo, Fortiter in Re. Pac. Rim L. & Pol’y J., 19, 187. https://digitalcommons.law.uw.edu/wilj/vol19/iss1/8
Martini, F., Samula, P., Keller, T. R., & Klinger, U. (2021). Bot, or not? Comparing three methods for detecting social bots in five political discourses. Big Data & Society, 8(2). https://doi.org/10.1177/20539517211033566
Moscato, D. (2016). Media portrayals of hashtag activism: A framing analysis of Canada’s# Idlenomore movement. Media and Communication, 4(2), 3-12. https://doi.org/10.17645/mac.v4i2.416
National Privacy Commission. (2012). Data privacy act of 2012. https://www.privacy.gov.ph/data-privacy-act/
National Security Council. (2018). NYA Yearend Statement. Retrieved from https://nsc.gov.ph/
Norris, P. (2007). Political activism: New challenges, new opportunities. In The Oxford handbook of comparative politics, 628-652. https://doi.org/10.1093/oxfordhb/9780199566020.003.0026
Philippine 18th Congress. (2019). Senate bill No. 630. http://legacy.senate.gov.ph›lis›bill_res›q=SBN-630
Potts, A., Simm, W., Whittle, J., & Unger, J. W. (2014). Exploring ‘success’ in digitally augmented activism: A triangulated approach to analyzing UK activist Twitter use. Discourse, Context & Media, 6, 65-76. https://doi.org/10.1016/j.dcm.2014.08.008
Sanchez, D. (2015). Digital justice: An exploratory study of digital activism actions on Twitter. Journal of Educational Technology Development and Exchange, 8(2), 1. https://doi.org/10.18785/jetde.0802.01
Soriano, C. R., Roldan, M. D. G., Cheng, C., & Oco, N. (2016). Social media and civic engagement during calamities: The case of Twitter use during typhoon Yolanda. Philippine Political Science Journal, 37(1), 6-25. https://doi.org/10.1080/01154451.2016.1146486
Supreme Court of the Philippines. (2020). G.R. Nos. 252578, et al. Retrieved from Supreme Court of the Philippines: https://sc.judiciary.gov.ph/files/oralarguments/252578/1-252578/petitioncertiorari.pdf
Xiong, Y., Cho, M., & Boatwright, B. (2019). Hashtag activism and message frames among social movement organizations: Semantic network analysis and thematic analysis of Twitter during the #MeToo movement. Public Relations Review, 45(1), 10-26. https://doi.org/10.1016/j.pubrev.2018.10.014
Xu, W. W., Sang, Y., Blasiola, S., & Park, H. W. (2014). Predicting opinion leaders in Twitter activism networks: The case of the Wisconsin recall election. American Behavioral Scientist, 58(10), 1278-1293. https://doi.org/10.1177/0002764214527091
Zacharias, C., & Poldi, F. (2020). GitHub-twintproject/twint: An advanced Twitter scraping & OSINT tool written in Python that doesn’t use Twitter’s API, allowing you to scrape a user’s followers, following, tweets and more while evading most API limitations, February 2020.
DOI: https://doi.org/10.21107/sml.v5i1.14462
Refbacks
- There are currently no refbacks.
Copyright (c) 2022 Shane Vallery Alipio Beduya, Diane Nicole Quebec De Leon, Jasmine Palce Quintana, Reena Anne Galang Alenzuela, Cyrra Rey-Anne Mae Megu Dela Rosa Megu, Andrea Maye Pereda Afan
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
--------------------------------------------------------------------------------------------------------------------------------------------------------
Simulacra has been indexed in these prominent indexing services:
Simulacra is licensed under a Creative Commons BY-NC-SA and published by the Center for Sociological Studies and Community Development, Department of Sociology, Universitas Trunojoyo Madura, Indonesia.