Online News Platforms, Regional Sentiment, and Political Discourse: A Study Using Advanced Sentiment Models

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Author(s): K. G. Suresh (Makhanlal Chaturvedi National University of Journalism and Communication, India), Juby Thomas (Kristu Jayanti College, India), Kumar T. K. Sateesh (Kristu Jayanti College, India)and Vishnu Achutha Menon (Institute for Educational and Developmental Studies, Noida, India)
Copyright: 2026
Pages: 30
Source title: Advancements in Digital Broadcasting and Content Platforms
Source Author(s)/Editor(s): M. Nur Erdem (Ondokuz Mayıs University, Turkey)and Özgün Arda Kuş (Uskudar University, Turkey)
DOI: 10.4018/979-8-3373-1459-4.ch014

Keywords: Digital Communications / Digital Media / Information Science Reference / Media & Communications

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Abstract

This study explores political sentiment dynamics in India, the UK, and the USA through NLP techniques applied to political news, opinion pieces, and social media. A sentiment classification model, evaluated using precision, recall, and F1-score, revealed India's polarized discourse driven by political and religious issues, moderate variability in the UK, and declining trends in the USA. Topic modeling uncovered themes like governance, ideologies, and religious narratives with regional distinctions. Temporal analysis showed shifts in public opinion tied to major events. The model performed best for India but faced challenges with the UK and USA due to data imbalance and linguistic diversity.

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Online News Platforms, Regional Sentiment, and Political Discourse: A Study Using Advanced Sentiment Models

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