(Im)balance in the Representation of News? An Extensive Study on a Decade Long Dataset from India
Souvic Chakraborty, Pawan Goyal, Animesh Mukherjee

TL;DR
This extensive study analyzes a decade of Indian news articles to measure bias and imbalance in coverage, revealing patterns of polarization, issue focus shifts, and party popularity trends across major outlets.
Contribution
It provides a comprehensive quantitative analysis of news imbalance in India over nine years using NLP tools, filling a gap in non-US media studies.
Findings
Two news outlets show stronger imbalance clustering.
Coverage is concentrated on few locations and issues.
Issue focus shifts from border and terrorism to economic topics over time.
Abstract
(Im)balance in the representation of news has always been a topic of debate in political circles. The concept of balance has often been discussed and studied in the context of the social responsibility theory and the prestige press in the USA. While various qualitative, as well as quantitative measures of balance, have been suggested in the literature, a comprehensive analysis of all these measures across a large dataset of the post-truth era comprising different popular news media houses and over a sufficiently long temporal scale in a non-US democratic setting is lacking. We use this concept of balance to measure and understand the evolution of imbalance in Indian media on various journalistic metrics on a month-by-month basis. For this study, we amass a huge dataset of over four million political articles from India for 9+ years and analyze the extent and quality of coverage given…
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Taxonomy
TopicsMedia Influence and Politics · Media Studies and Communication
