Кибербуллинг

otherentity ID: cyberbullying

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We introduce the social study of bullying to the NLP community. Bullying, in both physi- cal and cyber worlds (the latter known as cy- berbullying), has been recognized as a …...

23827

Detection and Fine-Grained Classification of Cyberbullying Events

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In the current era of online interactions, both positive and negative experiences are abundant on the Web. As in real life, neg- ative experiences can have a serious im- pact …...

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Predicting the Type and Target of Offensive Posts in Social Media

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AbstractAs offensive content has become pervasive in social media, there has been much research in identifying potentially offensive messages. However, previous work on this topic did not consider the problem …...

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I Feel Offended, Don’t Be Abusive! Implicit/Explicit Messages in Offensive and Abusive Language

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AbstractAbusive language detection is an unsolved and challenging problem for the NLP community. Recent literature suggests various approaches to distinguish between different language phenomena (e.g., hate speech vs. cyberbullying vs. …...

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Multilingual Offensive Language Identification with Cross-lingual Embeddings

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AbstractOffensive content is pervasive in social media and a reason for concern to companies and government organizations. Several studies have been recently published investigating methods to detect the various forms …...

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Offensive Language and Hate Speech Detection for Danish

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AbstractThe presence of offensive language on social media platforms and the implications this poses is becoming a major concern in modern society. Given the enormous amount of content created every …...

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Offensive Language Identification in Greek

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AbstractAs offensive language has become a rising issue for online communities and social media platforms, researchers have been investigating ways of coping with abusive content and developing systems to detect …...

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SOLID: A Large-Scale Semi-Supervised Dataset for Offensive Language Identification

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The widespread use of offensive content in so- cial media has led to an abundance of research in detecting language such as hate speech, cyberbullying, and cyber-aggression. Recent work presented …...

34103