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All Journal Jurnal Komunikasi Ikatan Sarjana Komunikasi Indonesia Jurnal Komunikasi Indonesia
Octavianto, Adi Wibowo
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Humanities Computer Science & IT Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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Framing The Future: Exploring AI Narratives in Indonesian Online Media Using Topic Modelling Octavianto, Adi Wibowo; Priyonggo, Ambang; Setianto, Yearry Panji
JURNAL KOMUNIKASI INDONESIA Vol. 13, No. 2
Publisher : UI Scholars Hub

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Abstract

Artificial Intelligence (AI) is a transformative force shaping society, and online media plays a pivotal role in shaping public perceptions of it. Given the media’s influence, understanding its framing of recent AI advancements, such as the emergence of Large Language Models (LLMs) like ChatGPT, becomes increasingly critical. These models have revolutionized human-machine interaction and are subject to media narratives that can significantly influence public understanding and policy. This research explores the framing of AI narratives in Indonesian online media through the utilization of topic modelling. The study aims to uncover the dominant narratives and themes surrounding AI, including the nuanced portrayal of LLMs and Chat GPT. Using a dataset of online articles and news pieces on AI in the Indonesian context, topic modelling analysis identifies and analyzes the key topics and sentiments. The findings reveal that Indonesian online media tends to portray AI positively, emphasizing its potential for innovation and economic growth. However, concern about ethical implications and job displacement are also present. These findings provide important insights for AI developers, journalists, and policymakers, highlighting the importance of balanced reporting to shape informed public opinion and ethical AI practices.
Mapping News Visualization Pattern on Katadata.id and Tirto.id Veronika, Veronika; Octavianto, Adi Wibowo; Wardhana, Aditya Heru
Jurnal Komunikasi Ikatan Sarjana Komunikasi Indonesia Vol. 8 No. 1 (2023): June 2023 - Jurnal Komunikasi Ikatan Sarjana Komunikasi Indonesia
Publisher : Ikatan Sarjana Komunikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25008/jkiski.v8i1.833

Abstract

This study addresses the research gap in understanding the types and patterns of visualization used in Covid-19 infographics. By analyzing infographics from popular media platforms in Indonesia, such as Katadata.co.id and Tirto.id, this research aims to fill the existing gap and find visual trends and preferences relevant to health communication. The theoretical framework draws upon concepts from visual communication, information design theory, and health communication. Using a qualitative approach and content analysis techniques, the study examines a sample of infographics from the aforementioned media platforms, categorizing the visualization and showing key trends and preferences. The findings reveal that both media outlets predominantly utilize illustrations, graphics, and text elements rather than charts. Bar graphs and column charts are the most widely used chart types, with Katadata.co.id showing higher frequency of chart elements compared to Tirto.id. Additionally, Katadata.co.id presents a greater number of interactive charts. The colors commonly employed for charts include blue, yellow, orange, and brown. However, the study does not delve into underlying reasons for these visual trends, whether they stem from specific visual strategies employed by the media or are influenced by other factors. The research findings contribute to the development of visually appealing and easily understandable infographics for policymakers and graphic designers.
Co-Authors Priyonggo, Ambang Setianto, Yearry Panji Veronika Veronika Wardhana, Aditya Heru