Machine Learning Approaches for Detecting Political Disinformation in Social Media Ecosystems

Purwanto ; Ahmad Nur Ihsan ; Dzulkefly ; Nur Hazwani ; Iftikhar ; Umna
TechComp Innovations: Journal of Computer Science... 📅 2026 Vol 3, No 1 🔗 DOI: 10.70063/techcompinnovations.v3i1.190
Abstract
Political disinformation has become one of the most critical challenges in contemporary digital democracies due to the rapid expansion of social media ecosystems. This study investigates the effectiveness of machine learning approaches in detecting political disinformation across online platforms such as Twitter, Facebook, and political discussion forums. Using a qualitative research design with a content analysis approach, the study examines linguistic manipulation, emotional narratives, sentiment polarity, and behavioral communication patterns embedded in misleading political content. The findings indicate that deep learning models, particularly Long Short-Term Memory (LSTM) architectures, demonstrate superior performance in identifying contextual and semantic inconsistencies compared to traditional machine learning algorithms. The study also reveals that algorithmic amplification, echo chambers, and coordinated bot activities significantly contribute to the rapid spread of political misinformation. Furthermore, the research highlights the importance of ethical artificial intelligence governance, transparency, and digital literacy in strengthening democratic resilience and protecting information integrity within digital communication environments
Keywords
Machine Learning; Political Disinformation; Social Media Ecosystems; Artificial Intelligence; Digital Democracy
How to Cite

Purwanto, et al. (2026). Machine Learning Approaches for Detecting Political Disinformation in Social Media Ecosystems. TechComp Innovations: Journal of Computer Science and Technology, 3(1). https://doi.org/10.70063/techcompinnovations.v3i1.190

Purwanto, Ahmad Nur Ihsan; Dzulkefly, Nur Hazwani; Iftikhar, Umna, "Machine Learning Approaches for Detecting Political Disinformation in Social Media Ecosystems," TechComp Innovations: Journal of Computer Science and Technology, vol. 3, no. 1, 2026.

Purwanto, Ahmad Nur Ihsan; Dzulkefly, Nur Hazwani; Iftikhar, Umna. "Machine Learning Approaches for Detecting Political Disinformation in Social Media Ecosystems." TechComp Innovations: Journal of Computer Science and Technology, vol. 3, no. 1, 2026.

Purwanto, Ahmad Nur Ihsan; Dzulkefly, Nur Hazwani; Iftikhar, Umna. "Machine Learning Approaches for Detecting Political Disinformation in Social Media Ecosystems." TechComp Innovations: Journal of Computer Science and Technology 3, no. 1 (2026).

Purwanto, et al. (2026) 'Machine Learning Approaches for Detecting Political Disinformation in Social Media Ecosystems', TechComp Innovations: Journal of Computer Science and Technology, 3(1). doi: 10.70063/techcompinnovations.v3i1.190.

Purwanto, Ahmad Nur Ihsan; Dzulkefly, Nur Hazwani; Iftikhar, Umna. Machine Learning Approaches for Detecting Political Disinformation in Social Media Ecosystems. TechComp Innovations: Journal of Computer Science and Technology. 2026;3(1).

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