Study of Detecting the Political Bias in News Articles

Authors

  • Pritesh Patil  Professor, Information Technology, AISSMS Institute of Information Technology, Pune, Maharashtra, India
  • Shubham Chaudhari  Student, AISSMS Institute of Information Technology, Savitribai Phule Pune University, Pune, Maharashtra, India
  • Arpita Dhote  Student, AISSMS Institute of Information Technology, Savitribai Phule Pune University, Pune, Maharashtra, India
  • Mrunali Gorde  Student, AISSMS Institute of Information Technology, Savitribai Phule Pune University, Pune, Maharashtra, India
  • Durvesh Palkar  Student, AISSMS Institute of Information Technology, Savitribai Phule Pune University, Pune, Maharashtra, India

DOI:

https://doi.org/10.32628/IJSRST218315

Keywords:

Media bias, News slant, Bias Detection, RNN, Bias Score, LSTM, Liberal, Conservative

Abstract

Nowadays news audiences are experiencing an "echo chamber" due to news biased coverage, which causes individuals to shape views with only one side of the story in mind. Media is considered the strongest source of insight and viewpoint for readers about current events. Therefore, the inequality and misrepresentation of media portrayal of topics is necessary to scrutinise. So, by computing a bias score for the news articles, the reader is able to make an informed decision related to particular events. In this paper, an attempt is made to prepare a survey report detailing some of the literature work done for figuring out the systems which detect the political bias for the news articles.

References

  1. Patankar AA, Bose J, Khanna H. A Bias Aware News Recommendation System. arXiv preprint arXiv:1803.03428. 2018
  2. Felix Hamborg, Anastasia Zhukova, Bela Gipp.Automated Identification of Media Bias by Word Choice and Labeling in News Articles.2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL)
  3. Rama Rohit Reddy, Suma Reddy, Radhika Mamidi.Detecting Political Bias in News Articles Using Headline. https://www.aclweb.org/anthology/W19-4809.pdf
  4. Minh Vu. Political News Bias Detection using Machine Learning.https://portfolios.cs.earlham.edu/wp-content/uploads/2018/12/senior-thesis-political.pdf
  5. Mohit Iyyer, Peter Enns, Jordan Boyd-Graber, and Philip Resnik. 2014. Political ideology detection using recursive neural networks. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), volume 1, pages 1113–1122
  6. Ramy Baly, Georgi Karadzhov, Abdelrhman Saleh, James Glass, Preslav Nakov. Multi-Task Ordinal Regression for Jointly Predicting the Trustworthiness and the Leading Political Ideology of News Media
  7. Vivek Kulkarni, Junting Ye, Steven Skiena, and William Yang Wang. 2018. Multi-view models for political ideology detection of news articles. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, EMNLP ’18, pages 3518–3527, Brussels, Belgium.
  8. Sora LIM , Adam JATOWT , and Masatoshi YOSHIKAWA. Towards Bias Inducing Word Detection by Linguistic Cue Analysis in News Articles.https://db-event.jpn.org/deim2018/data/papers/275.pdf
  9. Daniel Xiaodan Zhou, Paul Resnick, and Qiaozhu Mei. 2011. Classifying the political leaning of news articles and users from user votes. In Proceedings of the Fifth International Conference on Weblogs and Social Media, Barcelona, Catalonia, Spain, July 17- 21, 2011.
  10. Kathleen T. Durant, Michael D. Smith. Mining Sentiment Classification from Political Web Logs.

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Published

2021-06-30

Issue

Section

Research Articles

How to Cite

[1]
Pritesh Patil, Shubham Chaudhari, Arpita Dhote, Mrunali Gorde, Durvesh Palkar "Study of Detecting the Political Bias in News Articles" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 8, Issue 3, pp.57-61, May-June-2021. Available at doi : https://doi.org/10.32628/IJSRST218315