Communication Network Analysis in The Comment Section of A Youtube Podcast With AI

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.

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Publication Details

Journal
Business Economic Communication and Social Sciences (BECOSS) Journal
Published
2025-05-31
DOI
https://doi.org/10.21512/becossjournal.v7i2.13184
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
0.00
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article

Communication Network Analysis in The Comment Section of A Youtube Podcast With AI

Altaf Husain, Larasati Indhita Sugianto
Business Economic Communication and Social Sciences (BECOSS) Journal
Computational and Text Analysis Methods
article

Communication Network Analysis in The Comment Section of A Youtube Podcast With AI

Altaf Husain, Larasati Indhita Sugianto
article en

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.

Business Economic Communication and Social Sciences (BECOSS) JournalVol. 7(2)
Openalex Percentile: Top 65%
Computational and Text Analysis Methods
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