Add to ORKGNews articles often reflect an opinion or point of view, with certain topics evoking more diverse opinions than others. For analyzing and better understanding public discourses, identifying such contested topics constitutes an interesting research question. In this paper, we describe an approach that combines NLP techniques and background knowledge from DBpedia for finding disputed topics in news sites. To identify these topics, we annotate each article with DBpedia concepts, extract their categories, and compute a sentiment score in order to identify those categories revealing significant deviations in polarity across different media. We illustrate our approach in a qualitative evaluation on a sample of six popular British and American new...
Automatic keyword analysis is often performed around the world to limit individual access to online ...
To understand the landscape of opinions on political controversies, it would be helpful to know whic...
This is the final version.In this paper, we test three methods of estimating ideological bias in new...
News articles often reflect an opinion or point of view, with certain topics evoking more diverse op...
Abstract. News articles often reflect an opinion or point of view, with certain topics evoking more ...
Abstract. We tackle the problem of automatically detecting controversial issues and their subtopics ...
This paper sets out to detect controversial news reports using online discussions as a source of inf...
How do news sources tackle controversial issues? In this work, we take a data-driven approach to und...
Detecting controversy in general web pages is a daunting task, but increasingly essential to efficie...
This paper describes an automated system for detecting po-lar expressions about a topic of interest....
Abstract. Alerting users about controversial search results can encour-age critical literacy, promot...
The US presidential race, the re-election of President Hugo Chavez, and the economic crisis in Greec...
This paper describes a method for identifying topics in text published in social media, by applying ...
Newspapers might report on the same event, say a sport event or a political statement, but since the...
This paper presents a novel opinion mining research problem, which is called Contrastive Opinion Mod...
Automatic keyword analysis is often performed around the world to limit individual access to online ...
To understand the landscape of opinions on political controversies, it would be helpful to know whic...
This is the final version.In this paper, we test three methods of estimating ideological bias in new...
News articles often reflect an opinion or point of view, with certain topics evoking more diverse op...
Abstract. News articles often reflect an opinion or point of view, with certain topics evoking more ...
Abstract. We tackle the problem of automatically detecting controversial issues and their subtopics ...
This paper sets out to detect controversial news reports using online discussions as a source of inf...
How do news sources tackle controversial issues? In this work, we take a data-driven approach to und...
Detecting controversy in general web pages is a daunting task, but increasingly essential to efficie...
This paper describes an automated system for detecting po-lar expressions about a topic of interest....
Abstract. Alerting users about controversial search results can encour-age critical literacy, promot...
The US presidential race, the re-election of President Hugo Chavez, and the economic crisis in Greec...
This paper describes a method for identifying topics in text published in social media, by applying ...
Newspapers might report on the same event, say a sport event or a political statement, but since the...
This paper presents a novel opinion mining research problem, which is called Contrastive Opinion Mod...
Automatic keyword analysis is often performed around the world to limit individual access to online ...
To understand the landscape of opinions on political controversies, it would be helpful to know whic...
This is the final version.In this paper, we test three methods of estimating ideological bias in new...