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Communication Network Analysis in The Comment Section of A Youtube Podcast With AI Sugianto, Larasati Indhita; Husain, A. Hasan Al
Business Economic, Communication, and Social Sciences Journal (BECOSS) Vol. 7 No. 2 (2025): BECOSS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/becossjournal.v7i2.13184

Abstract

The phenomenon of human-AI interaction is rapidly evolving, particularly in the realm of digital communication. One manifestation of this is the involvement of AI in YouTube content, such as podcasts that incorporate AI as a co-host. This study aims to analyze the comment network on the YouTube video “Gua Podcast Bareng AI... Dia Manggil Gua Sayang... (Episode 1)” to understand user interaction patterns with AI in digital spaces. The research employs the Social Network Analysis (SNA) method, collecting comment data through YouTube digital tools and analyzing it using Gephi software. The findings reveal that interactions in the YouTube comment section form two primary communication patterns: the circular network and the Y network. The network structure consists of 2,313 nodes and 717 edges, with a modularity value of 0.86, indicating the formation of discussion clusters. The key actors in the network are @JoshRafG and @manueladrians, who exert the greatest influence based on centrality measures. Frequently occurring words in the comments include “AI,” “Bisa” (Can), “Dan” (And), and “Manusia” (Human), reflecting discussions surrounding the pros and cons of AI as a communicative entity. This study reveals that AI in digital interactions is increasingly anthropomorphized, influencing users' perceptions of AI as a social subject. These findings contribute to digital communication studies, particularly in understanding AI's role in virtual interactions and shifting societal perceptions of artificial intelligence on social media.
Factuality and Impartiality in the Reporting of Sexual Violence Against Children at Kompas.com and Tribunnews.com Sugianto, Larasati Indhita; Nuraeni, Reni
Jurnal Kajian Jurnalisme Vol 7, No 1 (2023): KAJIAN JURNALISME
Publisher : Journalism Study Program, Faculty of Communication Sciences, Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jkj.v7i1.45081

Abstract

During the pandemic, the issue of sexual violence against children in Indonesia reached 10,328 cases. One form of media that can be a source of information in Indonesia are news portals. The media should carry out objectivity in publishing news about sexual violence. News pertaining to sexual violence against children has been highlighted by the media; among them are Kompas.com and Tribunnews.com. This study aims to determine the level of factuality and impartiality of news portals in producing news content on sexual violence against children. Researchers use a quantitative approach with a descriptive nature. In this study, researchers looked at each indicator, including the level of truth, relevance, balance, and neutrality, by Westersthal's concept of objectivity. Researchers use a positivistic paradigm and descriptive content analysis research method. The results showed that the level of truth in the news on Tribunnews.com is higher while Kompas.com has not fulfilled the news with 5W + 1H, Kompas.com still has not fulfilled the level of relevance while Tribunnews.com has fulfilled the level of social reality and the audience so that the news is not subjective. At the level of balance, Kompas.com and Tribunnews.com still tend to report the perpetrator's point of view, and Tribunnews.com still uses hyperbolic language in processing news. In assessing factuality and impartiality, Kompas.com and Tribunnews.com still do not meet the objective requirements in producing news of sexual violence against children.