Hate Speech in Media Discourse
نویسندگان
چکیده
منابع مشابه
Detecting Hate Speech in Social Media
In this paper we examine methods to detect hate speech in social media, while distinguishing this from general profanity. We aim to establish lexical baselines for this task by applying supervised classification methods using a recently released dataset annotated for this purpose. As features, our system uses character n-grams, word n-grams and word skip-grams. We obtain results of 78% accuracy...
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Social media platforms have recently seen an increase in the occurrence of hate speech discourse which has led to calls for improved detection methods. Most of these rely on annotated data, keywords, and a classification technique. While this approach provides good coverage, it can fall short when dealing with new terms produced by online extremist communities which act as original sources of w...
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In ‘A Hypothetical Neurological Association between Dehumanization and Human RightsAbuse’,1 GailMurrowandRichardMurrowposit a biological explanationof how hate speech can spur violence, not only among individuals but, even, on a societal scale. They elaborate historical examples, cite to neuronal studies on patterns of responses in observation of pain and suffering to explain the dehumanization...
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In this study we approach the problem of distinguishing general profanity from hate speech in social media, something which has not been widely considered. Using a new dataset annotated specifically for this task, we employ supervised classification along with a set of features that includes n-grams, skip-grams and clustering-based word representations. We apply approaches based on single class...
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ژورنال
عنوان ژورنال: Acta Universitatis Lodziensis. Folia Litteraria Polonica
سال: 2017
ISSN: 2353-1908,1505-9057
DOI: 10.18778/1505-9057.35.02