印度十年新闻数据集

本研究使用了一个名为‘印度十年新闻数据集’的大型数据集，该数据集由印度理工学院计算机科学与工程系创建，包含了从2010年到2018年的超过四百万篇政治相关文章。数据集涵盖了印度三大主要英文报纸：《印度时报》、《印度今日》和《印度教徒报》。这些文章通过在线档案收集，用于分析政治新闻报道的不平衡性，特别是在报道政治事件和政治党派时的偏向性。研究旨在揭示媒体偏见如何随时间演变，并探讨其对公众意见和政治动态的影响。

This study utilizes a large dataset named the "India Decade News Dataset", which was created by the Department of Computer Science and Engineering, Indian Institute of Technology. The dataset contains over 4 million politically related articles spanning from 2010 to 2018, covering three major English-language newspapers in India: The Times of India, India Today, and The Hindu. These articles were collected from online archives, and are employed to analyze the imbalance in political news coverage, particularly the bias in reporting on political events and political parties. This study aims to reveal how media bias evolves over time, and explore its impacts on public opinion and political dynamics.