Analyzing Actor Engagement In Digital Communication Media Through The Actor-Network Theory Approach

Main Article Content

Fadjrin Satriyani Komariyah
Ade Heryana
Munadhil Abdul Muqsith
Fitriya Ayuningsih

Abstract

Penelitian mengenai keterlibatan aktor dalam proses komunikasi dengan pendekatan Teori Aktor-Jejaring (ANT) telah banyak dilakukan, namun pemanfaatannya dalam konteks media komunikasi digital masih terbatas. Studi ini bertujuan untuk meninjau secara sistematik bagaimana ANT digunakan untuk mengukur keterlibatan aktor manusia dan bukan manusia dalam jejaring media komunikasi digital. Proses tinjauan dilakukan terhadap publikasi dalam database Mendeley selama periode 2015–2024 dengan menggunakan logika Boolean “Actor Network Theory AND communication media”. Kriteria inklusi mencakup artikel jurnal penelitian berbahasa Inggris yang dapat diakses penuh, sementara kriteria eksklusi menyingkirkan publikasi yang menggunakan ANT bersama teori lain atau di luar konteks media komunikasi digital. Dari 151 publikasi yang ditemukan, sebanyak 11 artikel memenuhi kriteria seleksi. Hasil menunjukkan bahwa konteks penelitian umumnya berkaitan dengan respons sosial, perilaku pengguna, dan peran teknologi. Metode yang dominan digunakan adalah wawancara untuk pengumpulan data dan analisis konten untuk pengolahan data. Keterlibatan aktor, baik manusia maupun bukan manusia, ditemukan dalam spektrum positif, netral, hingga negatif. ANT terbukti relevan untuk mengukur keterlibatan dalam komunikasi digital, khususnya dalam memahami dinamika respons sosial dan teknologi dalam jaringan. Temuan ini penting bagi pengembangan kajian media komunikasi karena memberikan kerangka kerja konseptual dalam menganalisis peran aktor dalam ekosistem digital. Kesimpulan ini menjadi pijakan untuk penelitian lanjutan yang mengeksplorasi kompleksitas interaksi dalam ruang komunikasi digital berbasis jejaring.


Research on actor engagement in communication processes using the Actor-Network Theory (ANT) has been conducted across various disciplines, yet its application in digital communication media remains limited. This study aims to systematically review how ANT is utilized to assess the involvement of both human and non-human actors within digital communication networks. A systematic literature review was conducted using the Mendeley database, covering the period from 2015 to 2024 with the Boolean search term “Actor Network Theory AND communication media.” Inclusion criteria required full-text, peer-reviewed journal articles in English. Exclusion criteria eliminated studies that applied ANT alongside other theoretical frameworks or were outside the scope of digital communication media. From 151 initial publications, 11 journal articles met the selection criteria. The review found that most studies focused on social responses, user behavior, and the role of technology. Interviews were the most common method of data collection, while content analysis was frequently used for data analysis. Actor involvement ranged from positive and neutral to negative dimensions. ANT proves to be a relevant framework for measuring engagement in digital communication, especially in exploring social responses and technological interactions. These findings are significant for the field of media communication as they offer a conceptual foundation for analyzing actor roles within digital ecosystems. This conclusion provides a basis for future research exploring the complexity of interactions in network-based digital communication environments.

Article Details

How to Cite
Satriyani Komariyah, F., Heryana, A., Muqsith, M. A., & Ayuningsih, F. . (2025). Analyzing Actor Engagement In Digital Communication Media Through The Actor-Network Theory Approach. Hulondalo Jurnal Ilmu Pemerintahan Dan Ilmu Komunikasi, 4(2), 820–838. https://doi.org/10.59713/jipik.v4i2.1327
Section
Articles
Author Biographies

Fadjrin Satriyani Komariyah, Universitas Pendidikan Negeri “Veteran” Jakarta

Prodi Magister Ilmu Komunikasi

Ade Heryana, Universitas Esa Unggul

Prodi Kesehatan Masyarakat

Munadhil Abdul Muqsith, Universitas Pendidikan Negeri “Veteran” Jakarta

Prodi Magister Ilmu Komunikasi

Fitriya Ayuningsih, Universitas Pendidikan Negeri “Veteran” Jakarta

Prodi Magister Ilmu Komunikasi

References

Ajibade, S. S. M., & Zaidi, A. (2023). Technological Acceptance Model for Social Media Networking in e-Learning in Higher Educational Institutes. International Journal of Information and Education Technology, 13(2), 239–246. https://doi.org/10.18178/ijiet.2023.13.2.1801

Alalwan, N. (2022). Actual use of social media for engagement to enhance students’ learning. Education and Information Technologies, 27(7), 9767–9789. https://doi.org/10.1007/s10639-022-11014-7

Arafah, R. A., & Destiwati, R. (2024). Persuasive Communication Strategies in Dealing with Mental Health Stigma Using an Inclusive Approach. Hulondalo Jurnal Ilmu Pemerintahan Dan Ilmu Komunikasi, 3(2), 124–134. https://doi.org/10.59713/jipik.v3i2.1012

Aulia, M. P., & Ritonga, S. 2024. Interpersonal Communication Patterns Of Parents And Children In Understanding The Danger Of Gadgets (Case Study of Bandar Khalipah Village, Percut Sei Tuan District). Hulondalo Jurnal Ilmu Pemerintahan Dan Ilmu Komunikasi, 3(2), 71–83. https://doi.org/10.59713/jipik.v3i2.947

Cao, D., Meadows, M., Wong, D., & Xia, S. (2021). Understanding consumers’ social media engagement behaviour: An examination of the moderation effect of social media context. Journal of Business Research, 122, 835–846. https://doi.org/10.1016/j.jbusres.2020.06.025

Chen, J., Lin, Y., Tang, X., & Deng, S. (2024). Fostering netizens to engage in rumour-refuting messages of government social media: a view of persuasion theory. Behaviour and Information Technology, 43(10). https://doi.org/10.1080/0144929X.2023.2241084

Dessart, L. (2017). Social media engagement: a model of antecedents and relational outcomes. Journal of Marketing Management, 33(5–6), 375–399. https://doi.org/10.1080/0267257X.2017.1302975

Dimitrov, R. (2022). Silencing the virus? Government communication and MMR vaccination campaigns – the Australian case. Public Relations Inquiry, 11(1), 121–155. https://doi.org/10.1177/2046147X211014078

Dolan, R., Conduit, J., Fahy, J., & Goodman, S. (2016). Social media engagement behaviour: a uses and gratifications perspective. Journal of Strategic Marketing, 24(3–4), 261–277. https://doi.org/10.1080/0965254X.2015.1095222

Dwinarko, D., Sjafrizal, T., Muhamad, P., & Akbar, M. R. (2023). Actors Distortion of News Agencies Framing Surveys in Online Mass Media about Political Parties Bearer Presidential-Candidates 2024. Journal of Social Science, 4(1), 195–214. https://doi.org/10.46799/jss.v4i1.507

Ente, F., Ratnasari, D., & Saputra, A. (2023). Pengaruh Penggunaan Aplikasi Tiktok Terhadap Kreativitas Mahasiswa Universitas Ichsan Gorontalo Proram Studi Ilmu Komunikasi. Hulondalo Jurnal Ilmu Pemerintahan Dan Ilmu Komunikasi, 2(2), 141–155. https://doi.org/10.59713/jipik.v2i2.643

Ernis, D. (2023). Mengenal Host Live Streaming, Profesi Unik yang Mulai Dilirik. 2Tempo.Co. https://tekno.tempo.co/read/1686142/mengenal-host-live-streaming-profesi-unik-yang-mulai-dilirik

Fang, K. (2023). The social movement was live streamed: A relational analysis of mobile live streaming during the 2019 Hong Kong protests. Journal of Computer-Mediated Communication, 28(1). https://doi.org/10.1093/jcmc/zmac033

Farhat, K., Aslam, W., & Mokhtar, S. S. M. (2021). Beyond Social Media Engagement: Holistic Digital Engagement and a Social Identity Perspective. Journal of Internet Commerce, 20(3), 319–354. https://doi.org/10.1080/15332861.2021.1905474

Ghai, S., Magis-Weinberg, L., Stoilova, M., Livingstone, S., & Orben, A. (2022). Social media and adolescent well-being in the Global South. In Current Opinion in Psychology (Vol. 46). Elsevier B.V. https://doi.org/10.1016/j.copsyc.2022.101318

Goh, Y. Le. (2022). Convergence of the #MeToo Movement into #SayaJuga _. 26(2), 76–84.

Hatamleh, I. H. M., Safori, A. O., Habes, M., Tahat, O., Ahmad, A. K., Abdallah, R. A. Q., & Aissani, R. (2023). Trust in Social Media: Enhancing Social Relationships. Social Sciences, 12(7). https://doi.org/10.3390/socsci12070416

Hidayati, A. H., Widyawati, T. I., & Aditya, T. 2024. Tangerang Local Government Policy: Improving Access to Mental Health - Case Study of Karawaci Baru Health Center. Hulondalo Jurnal Ilmu Pemerintahan Dan Ilmu Komunikasi, 3(2), 109–123. https://doi.org/10.59713/jipik.v3i2.971

Horbyk, R. (2022). “The war phone”: mobile communication on the frontline in Eastern Ukraine. Digital War, 3(1–3), 9–24. https://doi.org/10.1057/s42984-022-00049-2

Islam, A. K. M. N., Mäntymäki, M., & Turunen, M. (2019). Why do blockchains split? An actor-network perspective on Bitcoin splits. Technological Forecasting and Social Change, 148. https://doi.org/10.1016/j.techfore.2019.119743

Joia, L. A., & Soares, C. D. (2018). Social media and the trajectory of the “20 Cents Movement” in Brazil: An Actor-Network Theory-based investigation. Telematics and Informatics, 35(8). https://doi.org/10.1016/j.tele.2018.08.007

Kim, B., Yoo, M., & Yang, W. (2020). Online Engagement Among Restaurant Customers: The Importance of Enhancing Flow for Social Media Users. Journal of Hospitality and Tourism Research, 44(2), 252–277. https://doi.org/10.1177/1096348019887202

Kulikovskaja, V., Hubert, M., Grunert, K. G., & Zhao, H. (2023). Driving marketing outcomes through social media-based customer engagement. Journal of Retailing and Consumer Services, 74. https://doi.org/10.1016/j.jretconser.2023.103445

Kurokawa, M., Schweber, L., & Hughes, W. (2017). Client engagement and building design: the view from actor–network theory. Building Research and Information, 45(8), 910–925. https://doi.org/10.1080/09613218.2016.1230692

Kwon, H. J. (2022). A New Trend of Tourism in the Post-COVID-19 Era: Big Data Analysis of Online Tours in Korea. Social Sciences, 11(12). https://doi.org/10.3390/socsci11120574

Lai, I. K. W., & Liu, Y. (2020). The effects of content likeability, content credibility, and social media engagement on users’ acceptance of product placement in mobile social networks. Journal of Theoretical and Applied Electronic Commerce Research, 15(3), 1–19. https://doi.org/10.4067/S0718-18762020000300102

Latour, B. (2017). On recalling ant. Logos (Russian Federation), 27(1), 201–216. https://doi.org/10.22394/0869-5377-2017-1-201-214

Lee, C. H., & Chen, C. W. (2021). Impulse buying behaviors in live streaming commerce based on the stimulus-organism-response framework. Information (Switzerland), 12(6). https://doi.org/10.3390/info12060241

Liadeli, G., Sotgiu, F., & Verlegh, P. W. J. (2023). A Meta-Analysis of the Effects of Brands’ Owned Social Media on Social Media Engagement and Sales. Journal of Marketing, 87(3), 406–427. https://doi.org/10.1177/00222429221123250

Lichy, J., McLeay, F., Burdfield, C., & Matthias, O. (2023). Understanding pre-teen consumers social media engagement. International Journal of Consumer Studies, 47(1), 202–215. https://doi.org/10.1111/ijcs.12821

Lin, Q., & Nuangjamnong, C. (2022). Exploring the Role of Influencers and Customer Engagement on Purchase Intention in TikTok Live Streaming Shopping. International Journal of Social Sciences and Humanities Invention, 9(12), 7469–7498. https://doi.org/10.18535/ijsshi/v9i012.04

MacLeod, A., Cameron, P., Ajjawi, R., Kits, O., & Tummons, J. (2019). Actor-network theory and ethnography: Sociomaterial approaches to researching medical education. Perspectives on Medical Education, 8(3), 177–186. https://doi.org/10.1007/s40037-019-0513-6

Marcon Nora, G. A., Alberton, A., & Ayala, D. H. F. (2023). Stakeholder theory and actor-network theory: The stakeholder engagement in energy transitions. Business Strategy and the Environment, 32(1), 673–685. https://doi.org/10.1002/bse.3168

Matin, A., Khoshtaria, T., & Tutberidze, G. (2020). The impact of social media engagement on consumers’ trust and purchase intention. International Journal of Technology Marketing, 14(3), 305–323. https://doi.org/10.1504/IJTMKT.2020.111547

Meng, Z., & Lin, M. (2023). The Driving Factors Analysis of Live Streamers’ Characteristics and Perceived Value for Consumer Repurchase Intention on Live Streaming Platforms. Journal of Organizational and End User Computing, 35(1). https://doi.org/10.4018/JOEUC.323187

Missonier, S., & Loufrani-Fedida, S. (2014). Stakeholder analysis and engagement in projects: From stakeholder relational perspective to stakeholder relational ontology. International Journal of Project Management, 32(7), 1108–1122. https://doi.org/10.1016/j.ijproman.2014.02.010

Ng, M. S., Hall, D., Schmailzl, M., Linner, T., & Bock, T. (2022). Identifying enablers and relational ontology networks in design for digital fabrication. In Automation in Construction (Vol. 144). Elsevier B.V. https://doi.org/10.1016/j.autcon.2022.104592

Ni, X., Shao, X., Geng, Y., Qu, R., Niu, G., & Wang, Y. (2020). Development of the Social Media Engagement Scale for Adolescents. Frontiers in Psychology, 11. https://doi.org/10.3389/fpsyg.2020.00701

Nua, S.P. (2023). Peran Dan Fungsi Bahasa Daerah Pada Komunikasi Masyarakat Di Kelurahan Dembe 2 Kota Gorontalo . Hulondalo Jurnal Ilmu Pemerintahan Dan Ilmu Komunikasi, 1(2), 77–87. https://doi.org/10.59713/jipik.v1i2.75

Ojo, A. O., & Alias, M. (2021). Conceptualising social media entrepreneurial engagement from the socio-cognitive theory. IBIMA Business Review, 2021. https://doi.org/10.5171/2021.846138

Pantumsinchai, P. (2018). Armchair detectives and the social construction of falsehoods: an actor–network approach. Information Communication and Society, 21(5), 761–778. https://doi.org/10.1080/1369118X.2018.1428654

Parolin, L. L., & Pellegrinelli, C. (2022). Communication Technologies and Aid Practices: Superbergamo, Group Chats, and the COVID-19 Pandemic. Frontiers in Communication, 7. https://doi.org/10.3389/fcomm.2022.787202

Piovesan, F. (2022). Reflections on combining action research and actor-network theory. Action Research, 20(4), 363–379. https://doi.org/10.1177/1476750320919167

Reimer, T. (2023). Environmental factors to maximize social media engagement: A comprehensive framework. Journal of Retailing and Consumer Services, 75. https://doi.org/10.1016/j.jretconser.2023.103458

Rowan, L., & Bigum, C. (2003). Actor network theory and the study of online learning. In G. Davies (Ed.), Quality Education at a Distance. International Federation for Information Proceedings. https://link.springer.com/content/pdf/10.1007/978-0-387-35700-3_20.pdf

Senbel, S., Seigel, C., & Bryan, E. (2022). Religious Violence and Twitter: Networks of Knowledge, Empathy and Fascination. Religions, 13(3). https://doi.org/10.3390/rel13030245

Silva Santos, I. L., Pimentel, C. E., & Mariano, T. E. (2023). Cyberstalking scale: development and relations with gender, FOMO and social media engagement. Current Psychology, 42(6), 4802–4810. https://doi.org/10.1007/s12144-021-01823-3

Singgalen, Y. A. (2021). Actor-Network Theory and Sentiment Analysis on Regional Development Issues and Politics in Social Media. Jurnal Komunikasi, 13(1), 89. https://doi.org/10.24912/jk.v13i1.9627

Song, B. L., Lee, K. L., Liew, C. Y., & Subramaniam, M. (2023). The role of social media engagement in building relationship quality and brand performance in higher education marketing. International Journal of Educational Management, 37(2), 417–430. https://doi.org/10.1108/IJEM-08-2022-0315

Steinberg, M., Mukherjee, R., & Punathambekar, A. (2022). Media power in digital Asia: Super apps and megacorps. Media, Culture and Society, 44(8), 1405–1419. https://doi.org/10.1177/01634437221127805

Tarifa-Rodriguez, A., Virues-Ortega, J., Perez-Bustamante Pereira, A., Calero-Elvira, A., & Cowie, S. (2023). Quantitative Indices of Student Social Media Engagement in Tertiary Education: A Systematic Review and a Taxonomy. Journal of Behavioral Education. https://doi.org/10.1007/s10864-023-09516-6

Tummons, J. (2021). Ontological Pluralism, Modes of Existence, and Actor-Network Theory: Upgrading Latour with Latour. Social Epistemology, 35(1), 1–11. https://doi.org/10.1080/02691728.2020.1774815

Wang, C. (2021). A Novel Model for Large-Scale Online College Learning in Postpandemic Era: AI-Driven Approach. Mobile Information Systems, 2021. https://doi.org/10.1155/2021/1048186

Wasike, B. (2023). The influencer sent me! Examining how social media influencers affect social media engagement, social self-efficacy, knowledge acquisition, and social interaction. Telematics and Informatics Reports, 10. https://doi.org/10.1016/j.teler.2023.100056

Wei, W. (2024). Using actor–network theory to revisit the digitalizedtool in social design. The Design Journal, 1(49–67).

Weikmann, T., & Lecheler, S. (2023). Cutting through the Hype: Understanding the Implications of Deepfakes for the Fact-Checking Actor-Network. Digital Journalism. https://doi.org/10.1080/21670811.2023.2194665

Wiradinata, I. (2023). Project Communication Management in a Micro Small Medium Enterprises (MSMES) in a Construction Project. RekaRacana: Jurnal Teknil Sipil, 9(2), 1. https://doi.org/10.26760/rekaracana.v9i2.1

Yao, S., & Liu, K. (2022). Actor-Network Theory: Insights into the Study of Social-Ecological Resilience. International Journal of Environmental Research and Public Health, 19(24). https://doi.org/10.3390/ijerph192416704

Yost, E., Zhang, T., & Qi, R. (2021). The power of engagement: Understanding active social media engagement and the impact on sales in the hospitality industry. Journal of Hospitality and Tourism Management, 46, 83–95. https://doi.org/10.1016/j.jhtm.2020.10.008

Yusuf, M., Adams, C., & Dingley, K. (2016). Digital citizen participation within schools in the United Kingdom and Indonesia: An Actor-Network Theory (ANT) perspective. Information (Switzerland), 7(4). https://doi.org/10.3390/info7040069

Yusuf, M., Adams, C., Dingley, K., Muntasa, A., Agustiono, W., & Oluwakemi Oseni, K. (2020). Actor-Network Theory (ANT) for Indonesia e-Government Implementation. 6th Information Technology International Seminra Surabaya.

Similar Articles

1 2 > >> 

You may also start an advanced similarity search for this article.