Caste in the news: a computational analysis of Indian newspapers

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dc.contributor.author Fonseca, Antonio Filipe
dc.contributor.author Bandyopadhyay, Sohhom
dc.contributor.author Louca, Jorge
dc.contributor.author Manjaly, Jaison A.
dc.date.accessioned 2020-02-22T06:10:43Z
dc.date.available 2020-02-22T06:10:43Z
dc.date.issued 2019-12
dc.identifier.citation Fonseca, Antonio Filipe; Bandyopadhyay, Sohhom; Louca, Jorge and Manjaly, Jaison A., "Caste in the news: a computational analysis of Indian newspapers", Social Media + Society, DOI: 10.1177/2056305119896057, vol. 5, no. 4, Dec. 2019. en_US
dc.identifier.issn 2056-3051
dc.identifier.uri https://doi.org/10.1177/2056305119896057
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/5088
dc.description.abstract Conflicts involving caste issues, mainly concerning the lowest caste rights, pervade modern Indian society. Caste affiliation, being rigorously enforced by the society, is an official contemporary reality. Although caste identity is a major social discrimination, it also serves as a necessary condition for affirmative action like reservation policy. In this article, we perform an original and rigorous analysis of the discourse involving the theme "caste" in India newspapers. To this purpose, we have implemented a computational analysis over a big dataset of the 2016 and 2017 editions of three major Indian newspapers to determine the most salient themes associated with "caste" in the news. We have used an original mix of state-of-the-art algorithms, including those based on statistical distributions and two-layer neural networks, to detect the relevant topics in the news and characterize their linguistic context. We concluded that there is an excessive association between lower castes, victimization, and social unrest in the news that does not adequately cover the reports on other aspects of their life and personal identity, thus reinforcing conflict, while attenuating the vocality and agency of a large section of the population. From our conclusion, we propose a positive discrimination policy in the newsroom.
dc.description.statementofresponsibility by Antonio Filipe Fonseca, Sohhom Bandyopadhyay, Jorge Louca and Jaison A. Manjaly
dc.format.extent vol. 5, no. 4
dc.language.iso en_US en_US
dc.publisher SAGE Publications en_US
dc.subject content analysis en_US
dc.subject computational social science en_US
dc.subject natural language processing en_US
dc.subject caste en_US
dc.subject news media en_US
dc.title Caste in the news: a computational analysis of Indian newspapers en_US
dc.type Article en_US
dc.relation.journal Social Media + Society


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