Pengumpulan Data Twitter Tentang Covid-19 di Indonesia untuk Menghitung Tingkat Engagement Pengguna

Penulis

Luvia Friska Narulita, Dwi Harini Sulistyawati

Abstrak

Dari Twitter, pengguna dapat mendapatkan informasi tentang berbagai hal, begitu juga informasi tentang COVID-19. Dalam penelitian ini, dilakukan penelitian tentang tingkat engagement pengguna terhadap twit yang membahas tentang COVID-19. Penelitian dilakukan terhadap data twit pada bulan April 2020 hingga bulan Juni 2020. Data twit didapatkan dari akun akun yang khusus membahas tentang COVID serta akun milik pemerintah dengan melakukan penyaringan pada twit yang khusus membahas tentang COVID saja. Tujuan dari penelitian ini adalah untuk mengetahui tingkat engagement pengguna yang dapat diartikan dengan tingkat interaksi pengguna terhadap twit yang membahas tentang COVID-19 pada saat awal virus COVID-19 merebak hingga pada saat mulai dikenalkan istilah New Normal atau adaptasi kebiasaan baru. Dari penelitian yang dilakukan, didapatkan hasil bahwa tingkat interaksi pengguna terhadap twit tentang COVID menurun pada bulan Juni ketika kasus COVID semakin bertambah dan pelaksanaan kebijakan bekerja dari rumah sudah dilaksanakan sekitar dua bulan. Penurunan tingkat engagement pengguna sebesar 0,5% pada bulan Juni.

 

Abstract

Twitter users in Indonesia quite a lot. From Twitter, users can get information about various things, as well as information about COVID-19. In this study, research was conducted on the level of user engagement on tweets that discussed COVID-19. The study was conducted on tweet data from April 2020 to June 2020. The tweet data was obtained from accounts specifically discussing COVID and government-owned accounts by filtering on tweets which specifically discussed COVID only. The purpose of this study is to determine the level of user engagement which can be interpreted by the level of user interaction with tweets that discuss COVID-19 at the beginning of the COVID-19 virus spread until it was introduced to the term New Normal. This term is introduced to people to encourage them wearing mask and implementing health protocol during their activities.  From the research conducted, it was found that the level of user interaction with tweets about COVID decreased in June when COVID cases increased and the implementation of the work from home policy had been carried out for about two months.


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Referensi


ABD-ALRAZAQ, A., ALHUWAIL, D., HOUSEH, M., HAMDI, M., & SHAH, Z. (2020). Top Concerns of Tweeters During the COVID-19 Pandemic: Infoveillance Study. J Med Internet Res, 22.

BARBOUR, K. (2020). Using Twitter to study audience engagement with characters and actors. In M. Griffiths, & K. Barbour, Making Publics, Making Places (pp. 180 - 192). Adelaide: University of Adelaide Press.

BOUDJELIDA, A., MELLOULI, S., & LEE, J. (2016). Electronic Citizens Participation: Systematic Review. ICEGOV '15-16: Proceedings of the 9th International Conference on Theory and Practice of Electronic Governance (pp. 31 - 39). New York: ACM.

DATABOKS KATADATA. (2019). Retrieved 2020, from Datastories: https://databoks.katadata.co.id/datapublish/2019/02/08/berapa-pengguna-media-sosial-indonesia

JAYANI, D. H. (2020). Databoks Katadata. Retrieved July 2020, from Data Stories: https://databoks.katadata.co.id/datapublish/2020/02/26/10-media-sosial-yang-paling-sering-digunakan-di-indonesia

MARSONO, C. (2014). What Social Medias Are Indonesians Using? (2014 Data). Retrieved 2020, from linkedin: https://www.linkedin.com/pulse/what-social-medias-indonesians-using-2014-data-chandra-marsono?redirectFromSplash=true

NIELSEN, R. K., & SCHRØDER, K. C. (2014). The Relative Importance of Social Media for Accessing, Finding, and Engaging with News. Digital Journalism, 472-489.

RAHMAN, Z., SUBERAMANIAN, K., ZANUDDIN, H., MOGHAVVEMI, S., & NAZIR, M. H. (2016). Social Media Engagement Metrics Analysis - "Study on Fan Page Content". researchagate.net, 71-76.

ROSENBERG, H., SYED, S., & REZAIE, S. (2020). The Twitter pandemic: The critical role of Twitter in the dissemination of medical information and misinformation during the COVID-19 pandemic. CJEM, 1-4.

SIYAM, N., ALQARYUTI, O., & ABDALLAH, S. (2020). Mining government tweets to identify and predict citizens engagement. Technology in Society, 1-10.

SLIPP, N. (2019). Using Tweets as a Measure of Sponsor Engagement: Halifax Pride 2018. DJIM.

VOORVELD, H. A., NOORT, G., MUNTINGA, D. G., & BRONNER, F. (2018). Engagement with Social Media and Social Media. Journal of Advertising, 38-54.




DOI: http://dx.doi.org/10.25126/jtiik.2021834626