Planting Hate Speech to Harvest Hatred: How Does Political Hate Speech Fuel Hate Crimes in Turkey?
نویسندگان
چکیده
منابع مشابه
Hate Me, Hate Me Not: Hate Speech Detection on Facebook
While favouring communications and easing information sharing, Social Network Sites are also used to launch harmful campaigns against specific groups and individuals. Cyberbullism, incitement to self-harm practices, sexual predation are just some of the severe effects of massive online offensives. Moreover, attacks can be carried out against groups of victims and can degenerate in physical viol...
متن کاملHate Crimes
Jack Levin and Jack McDevitt Northeastern University I. Legal Distinctions II. Hate Crimes and Prejudice III. Why Treat Hate Crimes Differently? IV. Problems in Collecting Hate Crime Data V. Types of Hate Crimes VI. Organized Hate Groups VII. Are Hate Crimes on the Rise? VIII. Responses to Hate crimes IX. Conclusion GLOSSARY Defensive Hate Crimes Hate offenses aimed against particular “outsider...
متن کاملHate speech, volition, and neurology
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...
متن کاملChallenges in discriminating profanity from hate speech
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...
متن کاملDetecting 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...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal for Crime, Justice and Social Democracy
سال: 2020
ISSN: 2202-8005,2202-7998
DOI: 10.5204/ijcjsd.v9i4.1514