Post-Truth Politics in an Election Year: Digital Disinformation and Political Polarization in Indonesia and the United States

The phenomenon of post-truth politics is increasingly prominent in the context of elections, where emotions and personal beliefs influence public opinion more than objective facts. The 2024 elections in Indonesia and the United States show similar trends, with the rise of digital disinformation and the intensification of political polarization. This article aims to examine how disinformation and digital narrative manipulation become strategic instruments in political contestation in both countries. The research method used is a comparative-qualitative study with a critical discourse analysis (CDA) approach. Data were collected from social media (Twitter/X, Facebook, YouTube), online news archives, and digital campaign documentation during the election period. In addition, text mining was conducted to identify recurring patterns of disinformation narratives. The results showed that in both countries, political actors utilized social media algorithms to spread divisive emotional messages, create echo chambers, and reinforce group identity. In Indonesia, religious and ethnic issues are often exploited, while in the US, ideological polarization between liberal and conservative camps dominates. Both contexts show that disinformation is not just a technical glitch, but part of a deliberate and structured political strategy. This research highlights the urgency of digital literacy policies, algorithmic transparency, and the role of regulators to counter disinformation-based polarization ahead of elections.

Authors

Institutions

Publication Details

Journal
Journal of Political Innovation and Analysis
Published
2025-06-02
DOI
https://doi.org/10.59261/jpia.v2i1.9
Primary Topic
Islamic Finance and Communication
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Post-Truth Politics in an Election Year: Digital Disinformation and Political Polarization in Indonesia and the United States

David L. Mac Adam
Journal of Political Innovation and Analysis
Islamic Finance and Communication
article

Post-Truth Politics in an Election Year: Digital Disinformation and Political Polarization in Indonesia and the United States

David L. Mac Adam
article en

Abstract

The phenomenon of post-truth politics is increasingly prominent in the context of elections, where emotions and personal beliefs influence public opinion more than objective facts. The 2024 elections in Indonesia and the United States show similar trends, with the rise of digital disinformation and the intensification of political polarization. This article aims to examine how disinformation and digital narrative manipulation become strategic instruments in political contestation in both countries. The research method used is a comparative-qualitative study with a critical discourse analysis (CDA) approach. Data were collected from social media (Twitter/X, Facebook, YouTube), online news archives, and digital campaign documentation during the election period. In addition, text mining was conducted to identify recurring patterns of disinformation narratives. The results showed that in both countries, political actors utilized social media algorithms to spread divisive emotional messages, create echo chambers, and reinforce group identity. In Indonesia, religious and ethnic issues are often exploited, while in the US, ideological polarization between liberal and conservative camps dominates. Both contexts show that disinformation is not just a technical glitch, but part of a deliberate and structured political strategy. This research highlights the urgency of digital literacy policies, algorithmic transparency, and the role of regulators to counter disinformation-based polarization ahead of elections.

Journal of Political Innovation and AnalysisVol. 2(1)
Pelita Harapan University (ID)
Openalex Percentile: Top 83%
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.