Online hate speech, especially on social media platforms, is the subject of both policy and political debate in Europe and globally - from the fragmentation of network publics to echo chambers and bubble phenomena, from networked outrage to networked populism, from trolls and bullies to propaganda and non-linear cyberwarfare. Both researchers and Facebook Community standards see the identification of the potential targets of hateful or antagonistic speech as key to classifying and distinguishing the latter from arguments that represent political viewpoints protected by freedom of expression rights. This research is an exploratory analysis of mentions of targets of hate speech in comments in the context of 106 public Facebook pages in Romanian and Hungarian from January 2015 to December 2017. A total of 1.8 million comments were collected through API interrogation and analyzed using a text-mining niche-dictionaries approach and co-occurrence analysis to reveal connections to events on the media and political agenda and discursive patterns. Findings indicate that in both countries the most prominent targets mentioned are connected to current events on the political and media agenda, that targets are most frequently mentioned in contexts created by politicians and news media, and that discursive patterns in both countries involve the proliferation of similar stereotypes about certain target groups.
This paper describes a way of improving search engine results conceptual reorganization that uses formal concept analysis. This is done by using redirections to solve conceptual redundancies and by adding preliminary disambiguation and expanding the concept lattice with extra navigation nodes based on Wikipedia's ontology and strong conceptual links.
The 2015 refugee crisis has held the attention of Romanian news media as well, as one of the most challenging issues for the European Union in the last decade, even though Romania is not situated on the main routes on which refugees arrive. Our research focuses on the variation of issue-specific news frames in time, according to media type, and by the countries covered, also addressing the locally salient issue of religion. Articles from the websites of the top-ranked six Romanian news outlets were analyzed, including three quality papers and three tabloids (N=6,183), from 1 April 2015 to 30 September 2017. Using a computer-assisted, clusters-based frame analysis, we identify six primary, mutually exclusive and six secondary, nonexclusive frames: European crisis, context/victimization, relocation/distribution, international conflict, and social problem, national costs, religious issues, US immigration policy, humanitarian/international. The variations in their salience follow the general European tendency toward securitization. At the same time, the emphasis on the issue as a European crisis indicates a tendency characteristic of Central and Eastern European media coverage. Co-occurrence patterns of frames and specific countries also indicate that the salience of some globally recurrent frames varies by countries covered.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.