Analysis of Public Conversation Networks on Prabowo's Program and the Future of Jakarta Through Najwa Shihab Podcast

Discussions on national politics often attract public participation. This happened in Najwa Shihab's podcast content on YouTube by inviting Ahok. This study aims to identify viewers' conversation patterns on Mata Najwa's uploaded content. Through this analysis, it can be seen that there are expectations from the public that strengthen public opinion that arises from the community. This research approach uses qualitative and quantitative data from the network statistics formed. This research analysis technique uses social network analysis. The results of this study show that the social interaction network formed in this conversation and public opinion is dispersed. The clusters and components of the formed social interaction network tend to be weak. The weak components in this network make the modularity very strong while showing that the public tends to be independent. However, the interaction and arguments of each actor can influence the strength of public opinion.

Authors

Institutions

Publication Details

Journal
MediaTor (Jurnal Komunikasi)
Published
2025-06-30
DOI
https://doi.org/10.29313/mediator.v18i1.4466
Primary Topic
Islamic Finance and Communication
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of Public Conversation Networks on Prabowo's Program and the Future of Jakarta Through Najwa Shihab Podcast

Khairul Syafuddin
MediaTor (Jurnal Komunikasi)
Islamic Finance and Communication
article

Analysis of Public Conversation Networks on Prabowo's Program and the Future of Jakarta Through Najwa Shihab Podcast

Khairul Syafuddin
article en

Abstract

Discussions on national politics often attract public participation. This happened in Najwa Shihab's podcast content on YouTube by inviting Ahok. This study aims to identify viewers' conversation patterns on Mata Najwa's uploaded content. Through this analysis, it can be seen that there are expectations from the public that strengthen public opinion that arises from the community. This research approach uses qualitative and quantitative data from the network statistics formed. This research analysis technique uses social network analysis. The results of this study show that the social interaction network formed in this conversation and public opinion is dispersed. The clusters and components of the formed social interaction network tend to be weak. The weak components in this network make the modularity very strong while showing that the public tends to be independent. However, the interaction and arguments of each actor can influence the strength of public opinion.

MediaTor (Jurnal Komunikasi)Vol. 18(1)
Multimedia Nusantara University (ID)
Universitas Multimedia Nusantara
Reduced inequalities
Openalex Percentile: Top 72%
Islamic Finance and Communication
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.