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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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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 Miranda, Alvaro Figueira
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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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2015 IEEE International Conference on Big Data (Big Data), 2015
We propose and study a novel problem of mining news text and social media jointly to discover controversial points in news, which enables many applications such as highlighting controversial points in news articles for readers, revealing controversies in news and their trends over time, and quantifying the controversy of a news source.
Ismíni Lourentzou +2 more
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We propose and study a novel problem of mining news text and social media jointly to discover controversial points in news, which enables many applications such as highlighting controversial points in news articles for readers, revealing controversies in news and their trends over time, and quantifying the controversy of a news source.
Ismíni Lourentzou +2 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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Fake News Detection in News Articles and Social Media Posts
2021 1st International Conference on Multidisciplinary Engineering and Applied Science (ICMEAS), 2021Muhammad Maidugu Aji +5 more
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Health Information in the News Media
Proceedings of the 9th International Conference on Digital Public Health, 2019Providing of health information could lead to changes in health behaviors, and affect the perception of diseases, treatments, and medications. It might also affect the choice of use of health care services and may affect health status [1-2]. The aim of this research is to identify the sources of health information, whether or not the advertisement is ...
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The Application of New Media in the Article of "Mountain Picker"
Foreign Language Science and Technology Journal Database Educational Science, 2021openaire +1 more source
Media Bias in German News Articles: A Combined Approach
Communications in Computer and Information Science, 2021Timo Spinde, Felix Hamborg, Bela Gipp
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