Bias Based Navigation for News Articles and Media
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- 关键词：News ; Media consumption ; Clustering ; Natural language processing ; Classification ; Sentiment analysis ; Bias ; Topic modelling
- 刊名：Lecture Notes in Computer Science
- 出版年：2016
- 出版时间：2016
- 年：2016
- 卷：9612
- 期：1
- 页码：465-470
- 全文大小：781 KB
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Joy Bose (18)
18. Samsung R&D Institute, Bangalore, India - 丛书名：Natural Language Processing and Information Systems
- ISBN：978-3-319-41754-7
- 刊物类别：Computer Science
- 刊物主题：Artificial Intelligence and Robotics
Computer Communication Networks
Software Engineering
Data Encryption
Database Management
Computation by Abstract Devices
Algorithm Analysis and Problem Complexity - 出版者：Springer Berlin / Heidelberg
- ISSN：1611-3349
- 卷排序：9612
文摘
In existing news related services, readers cannot decide if there is another side of a news story, unless they actually come across an article representing a different perspective. However, it is possible to determine the bias in a given article using NLP related tools. In this paper we determine the bias in media content such as news articles, and use this determined bias in two ways. First, we generate the topic/bias index for one or more news articles, positioning each article within the index for a given topic or attribute. We then provide a user interface to display how much bias is present in the currently read article, along with a slider to enable the reader to change the bias. Upon the user changing the bias value, the system loads a different news article on the same topic with a different bias. The system can be extended for a variety of media such as songs, provided the lyrics are known. We test our system on a few news articles on different topics, reconfirming the detected bias manually.