Analisis Kluster Terpaan Selektif Dalam Jaringan Informasi Vaksin Covid-19 Di Twitter

Fadlih Awwal Hasanuddin, Muh. Akbar, Muhammad Farid

Abstract


Tujuan penelitian ini adalah untuk mengedintifikasi kluster yang terbentuk dalam jaringan twiter terkait dengan topik-topik vaksin covis-19. Penelitian ini menggunakan pendekatan kuantitatif dengan analisis jaringan sosial dengan metode kluster terpaan selektif. Populasi penelitian ini adalah penggunan jaringan sosial twiter dengan kata kunci “vaksin covid-19’ sebagai sampel kluster. Data dikumpulkan dengan menggunakan aplikasi NodeXL. Data dianalisis dengan cara pengelompokan berdasarkan kluster algoritma Clauset-Newman-Moore dengan cara menghitung seluruh jaringan pengguna, tingkat hub dalam kluster, pengelompokan dalam jaringan, menetukan jaringan twiter tertinggi. Hasil penelitian menunjukkan bahwa akun-akun resmi pemerintah, tokoh politik, dan media massa secara bersamaan muncul pada seluruh kumpulan data sehingga mereka membentuk kluster secara konsisten mendukung keberhasilan program vaksinasi nasional.


Keywords


kluster, terpaan selketif, jaringan informasi, vaksin covid-19

Full Text:

PDF

References


Cangara, H. (2014). Pengantar Ilmu Komunikasi. PT. Raja Grafindo Persada.

Festinger, L. (1957). A theory of social cognitive dissonance. Standford University Press.

Festinger, L. (1968). Theory Cognitive Dissonance. Standford University Press.

Hansen, D. L., Shneiderman, B., & Smith, M. A. (2011). Analyzing Social Media Networks with

NodeXL: insights From a Connected World. Morgan Kaufmann.

http://site.ebrary.com/lib/alltitles/docDetail.action?docID=10408229%5Cnhttp://www.ama

zon.com/gp/product/0123822297?ie=utf8&tag=conneactio-

&linkcode=as2&camp=1789&creative=390957&creativeasin=0123822297

Holmes, D. E. (2017). Big Data: A Very Short Introduction. Oxford University Press.

Prior, M. (2007). Post-Broadcast Democracy. Cambridge University Press.

https://doi.org/10.1017/CBO9781139878425

Sloan, L., Quan-Haase, A., Mayr, P., & Weller, K. (2017). The SAGE Handbook of Social Media

Research Methods. In M. Steele (Ed.), The SAGE Handbook of Social Media Research

Methods. Sage Publication Ltd. https://doi.org/10.4135/9781473983847.n8

Sugiyono. (2013). Metode Penelitian Kuantitatif Kualitatif dan R&D. Alfabeta.

Stroud, N. J. (2014). Selective Exposure Theories. The Oxford Handbook of Political

Communication, 1(July), 1–21. https://doi.org/10.1093/oxfordhb/9780199793471.013.009

Daring

Afifah, M. N. (2021). Kenali Arti Efikasi Vaksin, Berbeda dari Efektivitas. Kompas.Com.

Kawalcovid19.id. (2021). Kawal informasi seputar COVID-19 secara tepat dan akurat.

Namira, I. (2020). 7 Fakta “Ngeri” Filter Bubble, Gelembung Virtual Penyaring Informasi.

Idntimes.Com. https://www.idntimes.com/tech/trend/izza-namira-1/fakta-filter-bubble/1

Neuron. (2021). Apa Bedanya 5 Vaksin Korona Ini? Youtube.

Pusparisa, Y. (2021). Daftar Negara Pengguna Smartphone Terbanyak, Indonesia Urutan

Berapa? Databoks.Katadata.Co.Id.

https://databoks.katadata.co.id/datapublish/2021/07/01/daftar-negara-penggunasmartphone-

terbanyak-indonesia-urutan-berapa

Putri, V. K. M. (2021). Hyperlink: Pengertian, Jenis, Fungsi dan Cara Membuatnya.

Kompas.Com.

Sekretariat Kabinet Republik Indonesia. (2021). Presiden Jokowi Terima Suntukan Dosis

Pertama Vaksin COVID-19. https://setkab.go.id/presiden-jokowi-terima-suntikan-dosispertama-

vaksin-covid-19/

Twitter. (2021). Twitter API.

Ensiklopedia

Gruzd, A. (2014). Encyclopedia of Social Network Analysis and Mining. In Encyclopedia of

Social Network Analysis and Mining. https://doi.org/10.1007/978-1-4614-6170-8

Jurnal

Acter, T., Uddin, N., Das, J., & Akhter, A. (2020). Evolution of severe acute respiratory syndrome

coronavirus 2 (SARS-CoV-2) as coronavirus disease 2019 (COVID-19) pandemic: A global

health emergency. Science of the Total Environment Journal, N/V(January), 2–15.

https://doi.org/https://dx.doi.org/10.1016%2Fj.scitotenv.2020.138996

Adriana, Z. (2015). Communication Pattern Instructor Use of Cyber Extension at Secretariat

Agency Coordination Counseling Province Riau. JOM, 2(1).

Anggarini, S. (2020). Fenomena Dalam Berita Covid-19. Jurnal Audience, 3(2), 224–249.

https://doi.org/10.33633/ja.v3i2.3628

Arora, P. (2012). Typology of Web 2.0 spheres: Understanding the cultural dimensions of social

media spaces. Current Sociology, 60(5), 599–618.

https://doi.org/10.1177/0011392112440439

Aruguete, N., & Calvo, E. (2018). Time to #protest: Selective exposure, cascading activation, and

framing in social media. Journal of Communication, 68(3), 480–502.

https://doi.org/10.1093/joc/jqy007

Barberá, P., Jost, J. T., Nagler, J., Tucker, J. A., & Bonneau, R. (2015). Tweeting From Left to

Right. Psychological Science, 26(10), 1531–1542.

https://doi.org/10.1177/0956797615594620

Emarita, N., Suryana, A., & Aristi, N. (2012). Hubungan antara Pencarian Informasi Melalui

Twitter @BdgBerkebun dengan Pemenuhan Kebutuhan Informasi. Jurnal Manajemen

Komunikasi Fakultas Ilmu Komunikasi Universitas Padjajaran, 1(1), 1–14.

Felt, M. (2016). Social media and the social sciences: How researchers employ Big Data analytics.

Big Data and Society, 3(1), 1–15. https://doi.org/10.1177/2053951716645828

Freedman, J. L., & Sears, D. O. (1965). Selective Exposure. Advances in Experimental Social

Psychology, 2(C), 57–97. https://doi.org/10.1016/S0065-2601(08)60103-3

Gruzd, A., & Mai, P. (2020). Going viral: How a single tweet spawned a COVID-19 conspiracy

theory on Twitter. Big Data and Society, 7(2). https://doi.org/10.1177/2053951720938405

Hardianto, G., Erlamsyah, E., & Nurfahanah, N. (2016). Hubungan antara Self-Efficacy

Akademik dengan Hasil Belajar Siswa. Konselor, 3(1), 22.

https://doi.org/10.24036/02014312978-0-00

Himelboim, I., Smith, M., & Shneiderman, B. (2013). Tweeting Apart: Applying Network

Analysis to Detect Selective Exposure Clusters in Twitter. Communication Methods and

Measures, 7(3), 169–197. https://doi.org/10.1080/19312458.2013.813922

Himelboim, I., Xiao, X., Lee, D. K. L., Wang, M. Y., & Borah, P. (2020). A Social Networks

Approach to Understanding Vaccine Conversations on Twitter: Network Clusters,

Sentiment, and Certainty in HPV Social Networks. Health Communication, 35(5), 607–615.

https://doi.org/10.1080/10410236.2019.1573446

Islam, A. K. M. N., Laato, S., Talukder, S., & Sutinen, E. (2020). Misinformation sharing and

social media fatigue during COVID-19: An affordance and cognitive load perspective.

Technological Forecasting and Social Change, 159, 120201.

https://doi.org/10.1016/j.techfore.2020.120201

Jonas, E., Schulz-Hardt, S., Frey, D., & Thelen, N. (2001). Confirmation bias in sequential

information search after preliminary decisions: An expansion of dissonance theoretical

research on selective exposure to information. Journal of Personality and Social

Psychology, 80(4), 557–571. https://doi.org/10.1037/0022-3514.80.4.557

Khaerunnisa Syafitri, N., Rullyana, G., & Ardiansah, A. (2020). autobase@collegemenfess, A

Twitter Account Used as Information Retrieval Tool. Khizanah Al-Hikmah: Jurnal Ilmu

Perpustakaan, Informasi Dan Kearsipan, 8(2), 161–172.

https://doi.org/10.24252/kah.v8i2a6

Kitchin, R. (2014). Big Data, new epistemologies and paradigm shifts. Big Data and Society, 1(1),

–12. https://doi.org/10.1177/2053951714528481

Kitchin, R., & McArdle, G. (2016). What makes Big Data, Big Data? Exploring the ontological

characteristics of 26 datasets. Big Data and Society, 3(1), 1–10.

https://doi.org/10.1177/2053951716631130

Knobloch-Westerwick, S., Johnson, B. K., & Westerwick, A. (2013). To your health: Self-

Regulation of health behavior through selective exposure to online health messages. Journal

of Communication, 63(5), 807–829. https://doi.org/10.1111/jcom.12055

Kurniawan, R., & Apriliani, A. (2020). ANALISIS SENTIMEN MASYARAKAT TERHADAP

VIRUS CORONA BERDASARKAN OPINI DARI TWITTER BERBASIS WEB

SCRAPER. Jurnal INSTEK (Informatika Sains Dan Teknologi), 5(1), 67.

https://doi.org/10.24252/instek.v5i1.13686

Lewis, S. C., Zamith, R., & Hermida, A. (2013). Content Analysis in an Era of Big Data: A Hybrid

Approach to Computational and Manual Methods. Journal of Broadcasting and Electronic

Media, 57(1), 34–52. https://doi.org/10.1080/08838151.2012.761702

McGuire, W. J., & Papageorgis, D. (1961). The relative efficacy of various types of prior beliefdefense

in producing immunity against persuasion. The Journal of Abnormal and Social

Psychology, 62(2), 327–337. https://doi.org/10.1037/h0042026

Nasution, B., Rumyeni, R., & Rimayanti, N. (2019). Perilaku Pencarian Informasi Pemilihan

Umum Tahun 2019 Pemilih Pemula di Kota Pekanbaru. Jurnal Komunikatif, 8(2), 191–204.

https://doi.org/10.33508/jk.v8i2.2212

Pambudi, H. J., Nugroho, A. L. A., Handoko, L., & Dianastiti, F. E. (2021). BUZZER DI MASA

PANDEMI COVID-19: STUDI ANALISIS WACANA KRITIS KICAUAN BUZZER DI

TWITTER. Jurnal Masyarakat Dan Budaya, 23(1), 75–89.

https://doi.org/https://doi.org/10.14203/jmb.v23i1.1265

Papacharissi, Z., & De Fatima Oliveira, M. (2012). Affective News and Networked Publics: The

Rhythms of News Storytelling on #Egypt. Journal of Communication, 62(2), 266–282.

https://doi.org/10.1111/j.1460-2466.2012.01630.x

Parks, M. R. (2014). Big Data in Communication Research: Its Contents and Discontents. Journal

of Communication, 64(2), 355–360. https://doi.org/10.1111/jcom.12090

Prastyo, I., Suryanto, & Rini, A. P. (2019). Disonansi Kognitif Wanita Pekerja Seks Komersial

yang Bekerja Menghidupi Keluarga. PSISULA, 1(September), 74–83.

https://doi.org/http://dx.doi.org/10.30659/psisula.v1i0.7693

Riani, N. (2017). MODEL PERILAKU PENCARIAN INFORMASI GUNA MEMENUHI

KEBUTUHAN INFORMASI (STUDI LITERATUR). Publication Library and Information

Science, 1(2), 14. https://doi.org/10.24269/pls.v1i2.693

Rohmiyati, Y. (2018). Model Perilaku Pencarian Informasi Generasi Milenial. Anuva, 2(4), 387.

https://doi.org/10.14710/anuva.2.4.387-392

Saud, M., Mashud, M., & Ida, R. (2020). Usage of social media during the pandemic: Seeking

support and awareness about COVID-19 through social media platforms. Journal of Public

Affairs, 20(4), e02417. https://doi.org/10.1002/pa.2417

Syafganti, I. (2018). Digital Transformation, Big Data and Research Landscape in Digital

Communication. Jurnal Komunikasi Ikatan Sarjana Komunikasi Indonesia, 3(2).

https://doi.org/10.25008/jkiski.v3i2.220

Syarifuddin, M. (2020). ANALISIS SENTIMEN OPINI PUBLIK MENGENAI COVID-19

PADA TWITTERMENGGUNAKAN METODE NAÏVE BAYESDAN KNN. Inti Nusa

Mandiri, 15(1), 23–28. https://doi.org/https://doi.org/10.33480/inti.v15i1.1347

Wei, L., & Hindman, D. B. (2011). Does the digital divide matter more? Comparing the effects

of new media and old media use on the education-based knowledge gap. Mass

Communication and Society, 14(2), 216–235. https://doi.org/10.1080/15205431003642707

Wirawanda, Y., & Wibowo, T. O. (2018). TWITTER: Expressing Hate Speech Behind Tweeting.

Profetik: Jurnal Komunikasi, 11(1), 5. https://doi.org/10.14421/pjk.v11i1.1378

Laporan

Kemp, S. (2021). DIGITAL 2021: INDONESIA.

Wearesocial.com. (2021). Digital 2021.

Prosiding

Duan, W., Cao, Q., Yu, Y., & Levy, S. (2013). Mining online user-generated content: Using

sentiment analysis technique to study hotel service quality. Proceedings of the Annual

Hawaii International Conference on System Sciences, 3119–3128.

https://doi.org/10.1109/HICSS.2013.400

Liao, Q. V., Fu, W. T., & Mamidi, S. S. (2015). Is all about perspective: An exploration of

mitigating selective exposure with aspect indicators. Conference on Human Factors in

Computing Systems - Proceedings, 2015-April, 1439–1448.

https://doi.org/10.1145/2702123.2702570

Tsou, M. H. (2011). Mapping Cyberspace: Tracking The Spread Of Ideas On The Internet. 25th

International Cartographic Conference, 43.

https://icaci.org/files/documents/ICC_proceedings/ICC2011/Oral Presentations PDF/D3-

Internet, web services and web mapping/CO-354.pdf




DOI: http://dx.doi.org/10.37905/aksara.8.1.713-732.2022

Refbacks

  • There are currently no refbacks.


Copyright (c) 2022 Aksara: Jurnal Ilmu Pendidikan Nonformal

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.


Publisher:
Magister Pendidikan Nonformal Pascasarjana Universitas Negeri Gorontalo
Jl. Soedirman No. 06 Gorontalo 96128 e-mail: jurnalaksara@ung.ac.id
http://ejurnal.pps.ung.ac.id