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Bias Based Navigation for News Articles and Media
2016In 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
Anish Anil Patankar, Joy Bose
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Arousal Prediction of News Articles in Social Media
2017At present, news channels are using social media to disseminate news to a large audience. These news channels try to convey the news in such a way that attracts more user interaction in the form of views, likes, comments, and shares. In online news, one of the important factors in getting higher user interaction is to recommend the top news articles ...
Nagendra Kumar 0001 +5 more
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Detecting the Political Leaning of News Articles and News Media
2023This thesis addresses the challenge of detecting political bias in news articles and media outlets by proposing an automated method for classifying news sources and articles as left, center, or right-leaning. With the growth of mass media consumption, identifying bias in news reporting has become increasingly important, given the adverse effects of ...
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Automated Identification of Media Bias by Word Choice and Labeling in News Articles
2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL), 2019Media bias can strongly impact the individual and public perception of news events. One difficult-to-detect, yet powerful form of slanted news coverage is bias by word choice and labeling (WCL). Bias by WCL can occur when journalists refer to the same concept, yet use different terms, which results in different sentiments being sparked in the readers ...
Felix Hamborg +2 more
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Automatically Finding Matches Between Social Media Posts and News Articles
2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech), 2017Social networks can often be considered the main stage of news, so detecting newsworthy information in this media is a relevant subject of study. Labeling automatically messages shared in social networks is an area of study that can be used directly to detect newsworthy information or to serve as training data for other projects. The solution presented
Filipe Fernandes Miranda +1 more
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Building a Question-Answering Corpus Using Social Media and News Articles
2016Is it possible to develop a reliable QA-Corpus using social media data? What are the challenges faced when attempting such a task? In this paper, we discuss these questions and present our findings when developing a QA-Corpus on the topic of Brazilian finance. In order to populate our corpus, we relied on opinions from experts on Brazilian finance that
Paulo Rodrigo Cavalin +6 more
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