Extracting and presenting different viewpoints from political news articles

Harandi, Mahboobeh; Yu, Bei; Gulla, Jon Atle

Permalink

https://hdl.handle.net/2142/89359 Copy

Description

Title

Extracting and presenting different viewpoints from political news articles

Author(s)

Harandi, Mahboobeh; Yu, Bei; Gulla, Jon Atle

Issue Date

2016-03-15

Keyword(s)

• opinion mining
• political news
• news recommender systems
• user clicks

Abstract

This study explores user interest in browsing different viewpoints from politicians and news agencies in news recommendation system. Along with providing personalized news articles to the user, bringing the opinion of politicians and news agencies about political events might be interesting for users. As there is always bias in publishing the news articles, newsreaders try to realize politicians’ opinions manually. We designed a prototype system to extract relevant politicians' viewpoints to a controversial event, and present them along with the news articles in the same user interface. We then observed user behaviour in browsing viewpoints vs. original news articles. According to the users’ clicks pattern analysis and their responses to the questionnaire they are interested in browsing the different viewpoints. This result suggests that news recommendation system could provide alternative recommendation criteria such as different viewpoints when recommending news articles.

Publisher

iSchools

Series/Report Name or Number

IConference 2016 Proceedings

Type of Resource

text

Language

eng

Permalink

http://hdl.handle.net/2142/89359

DOI

https://doi.org/10.9776/16514

Copyright and License Information

Copyright 2016 is held by the authors. Copyright permissions, when appropriate, must be obtained directly from the authors.

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