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All Journal AJMC (Asian Journal of Media and Communication) ASPIRATION Journal AJMC (Asian Journal of Media and Communication)
Tuasikal, Rio
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Religion Arts Humanities Education Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

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Concentrated, Corporate, and Camouflaged: The Nature of AI News Coverage in Indonesia Tuasikal, Rio; Gunawan, Virginia
Asian Journal of Media and Communication Vol. 8 No. 2 (2024): Volume 8, Number 2, 2024
Publisher : Department of Communications, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/asjmc.vol8.iss2.art4

Abstract

The adaptation of artificial technology in society requires a healthy public discourse. This necessitates nuanced and diverse views provided by mainstream media. However, there has not been empirical understanding of editorial practice towards AI in Indonesia, and whether news outlets have cited balanced voices. Drawing from a similar study in the United Kingdom, this paper seeks to identify the primary news sources and topics on the coverage of AI in Indonesian media outlets. This paper analyzed 777 news articles from January to June 2024, published by five major news sites namely Liputan6.com, Detik.com, Kompas.com, tvonenews.com, and Tempo.co. This paper found that of 1025 news sources, people representing the business sector dominated the conversation (55.6%), far beyond government (16.39%) and academics (13%). We also found that of 777 published articles, more than half discussed the AI industry itself (58.9%), compared to AI impact on society and labor (23.5%), and misuse and regulation (16.2%). We conclude that these media outlets have failed to provide varied viewpoints for the public, paving avenues for asymmetrical business-led debate, and allowing promotional messaging to camouflage as journalism reports. 
COMMUNICATION NETWORK ANALYSIS OF THE ANTI-RACISM TOWARDS ASIAN CAMPAIGN ON TWITTER Wiguna, Artha; Nugroho, Widio; Tuasikal, Rio
ASPIRATION Journal Vol. 3 No. 1 (2022): July Edition of ASPIRATION Journal
Publisher : ASPIKOM Jabodetabek Region

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56353/aspiration.v3i1.43

Abstract

This study aims to determine the distribution of communication networks of the #StopAsianHate campaign on Twitter. Using the theory of Computer-Mediated Communication, this paper seeks to identify the campaign's networks in system level and actor level. To achieve this, we used a quantitative approach of Communication Network Analysis with the Netlytic and Gephi models, as well as the content analysis method. From the analysis, we found 5 independent clusters in the network. On the level system, we found that information exchange requires only 2 actors to be passed, actors retweet or like more than talk, most conversations happened one-sidedly, network dominated by few actors, and network has a clear division between the clusters represented. On the actor level, we identified two accounts that played a dominating role in the campaign, that actors have a close relationship with other actors, no influence in linking the distribution of information related, and found 6 top actors with central role. Meanwhile, from the content analysis we found that the focus of the actor's communication campaign is the sharing of opinions, information, and images.
Concentrated, Corporate, and Camouflaged: The Nature of AI News Coverage in Indonesia Tuasikal, Rio; Gunawan, Virginia
Asian Journal of Media and Communication Vol. 8 No. 2 (2024): Volume 8, Number 2, 2024
Publisher : Department of Communications, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/asjmc.vol8.iss2.art4

Abstract

The adaptation of artificial technology in society requires a healthy public discourse. This necessitates nuanced and diverse views provided by mainstream media. However, there has not been empirical understanding of editorial practice towards AI in Indonesia, and whether news outlets have cited balanced voices. Drawing from a similar study in the United Kingdom, this paper seeks to identify the primary news sources and topics on the coverage of AI in Indonesian media outlets. This paper analyzed 777 news articles from January to June 2024, published by five major news sites namely Liputan6.com, Detik.com, Kompas.com, tvonenews.com, and Tempo.co. This paper found that of 1025 news sources, people representing the business sector dominated the conversation (55.6%), far beyond government (16.39%) and academics (13%). We also found that of 777 published articles, more than half discussed the AI industry itself (58.9%), compared to AI impact on society and labor (23.5%), and misuse and regulation (16.2%). We conclude that these media outlets have failed to provide varied viewpoints for the public, paving avenues for asymmetrical business-led debate, and allowing promotional messaging to camouflage as journalism reports. 
Co-Authors Gunawan, Virginia Nugroho, Widio Wiguna, Artha