印度政策话语中的媒体偏见分析

Anirban Sen, Debanjan Ghatak, Gurjeet Khanuja, K. Rekha, Mehak Gupta, Sanket Dhakate, Kartikeya Sharma, Aaditeshwar Seth
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引用次数: 3

摘要

许多公民从大众媒体上获取有关政府政策的信息。因此,媒体来源的政策话语中存在的偏见可能会影响公民对政策的理解,以及对政策如何影响不同社区的理解。如果社交媒体只是呼应大众媒体内容的偏见,这些偏见也可能通过社交媒体进一步放大。我们建立了量化媒体偏见的方法,根据给予相应于四种经济政策的某些问题的优先待遇,以及观察到的与不同政党的意识形态立场的一致性。我们还研究了这些媒体机构的追随者的社交媒体社区如何对政策话语做出贡献。除了是印度背景下的首批大规模研究之一外,我们的工作有助于创建一个标准化的方法来评估新闻来源的意识形态立场,以及它与追随者社区的社交媒体话语的一致性。我们发现,印度大众媒体对与政策事件相关的某些方面或话题表现出偏见。它还对有关中产阶级和政治声明的方面提供了相当高的报道,而忽略了与穷人直接有关的方面。此外,我们还在媒体向不同政党提供的代表中发现了偏见的证据。社交媒体似乎在附和这些偏见,而不是减轻它们。在这项工作中开发的工具和方法可以帮助媒体监督机构指出媒体中的偏见,并倡导对不同新闻来源的问题进行更全面的报道。
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Analysis of Media Bias in Policy Discourse in India
Many citizens consume information on government policies from the mass media. Consequently, biases existing in the policy discourse in media sources may influence citizens’ understanding of the policies, about how they may affect diverse communities. These biases may also get amplified further through social media if it simply echoes the biases of mass media content. We build methods to quantify media bias in terms of preferred treatment given to certain issues corresponding to four economic policies, and alignment observed with the ideological stance of different political parties. We also examine how the social media community of followers of these media houses contribute to the policy discourse. Other than being one of the first large scale studies in the Indian context, our work contributes towards creating a standardized methodology to assess the ideological stance of a news-source, and its alignment with the social media discourse of its follower community. We find that the Indian mass media exhibits bias towards certain aspects or topics related to policy events. It also provides a significantly high coverage to aspects concerning the middle class and to political statements, neglecting the aspects directly relevant to the poor. Additionally, we find evidence of bias also in the representation provided to different political parties in the media. Social media seems to echo these biases rather than mitigate them. The tools and methods developed in this work can be useful for media watchdog institutions to call out biases in the media, and advocate for more complete coverage of issues across different news sources.
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