Identifying Political Bias in News Articles
نویسنده
چکیده
منابع مشابه
Finding Bias in Political News and Blog Websites
News and blog websites often have political bias (such as Republican, Democratic) in their articles. Automatic detection of the bias will improve personalized feed and categorization of news and blog articles. Our project aims to predict Republican vs. Democratic bias of news websites and political blogs using the phrases (a.k.a. memes) they quote in their text. We form a bipartite graph of web...
متن کاملA Bias Aware News Recommendation System
In this era of fake news and political polarization, it is desirable to have a system to enable users to access balanced news content. Current solutions focus on top down, server based approaches to decide whether a news article is fake or biased, and display only trusted news to the end users. In this paper, we follow a different approach to help the users make informed choices about which new...
متن کاملSentiment analysis of online news text: a case study of appraisal theory
Purpose. Sentiment analysis and emotion processing are attracting increasing interest in many fields. Computer and information scientists are developing automated methods for sentiment analysis of online text. Most of the research have focused on identifying sentiment polarity or orientation—whether a document, usually product or movie review, carries a positive or negative sentiment. It is tim...
متن کاملTracking Bias in News Sources Using Social Media: the Russia-Ukraine Maidan Crisis of 2013-2014
This paper addresses the task of identifying the bias in news articles published during a political or social conflict. We create a silver-standard corpus based on the actions of users in social media. Specifically, we reconceptualize bias in terms of how likely a given article is to be shared or liked by each of the opposing sides. We apply our methodology to a dataset of links collected in re...
متن کاملPredicting Political Orientation of News Articles Based on User Behavior Analysis in Social Network
News articles usually represent a biased viewpoint on contentious issues, potentially causing social problems. To mitigate this media bias, we propose a novel framework for predicting orientation of a news article by analyzing social user behaviors in Twitter. Highly active users tend to have consistent behavior patterns in social network by retweeting behavior among users with the same viewpoi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- TCDL Bulletin
دوره 12 شماره
صفحات -
تاریخ انتشار 2016