Abusive Language Detection

task ID: abusivelanguagedetection

Related Papers

Investigating Multilingual Abusive Language Detection: A Cautionary Tale

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractAbusive language detection has received much attention in the last years, and recent approaches perform the task in a number of different languages. We investigate which factors have an effect …...

19685

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

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

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. …...

14081

XHate-999: Analyzing and Detecting Abusive Language Across Domains and Languages

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractWe present XHate-999, a multi-domain and multilingual evaluation data set for abusive language detection. By aligning test instances across six typologically diverse languages, XHate-999 for the first time allows for …...

3809

German Abusive Language Dataset with Focus on COVID-19

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

The COVID-19 pandemic has had a significant impact on human lives globally. As a result, it is unsurprising that it has influenced hate speech and other sorts of abusive language …...

2

On the Interaction between Annotation Quality and Classifier Performance in Abusive Language Detection

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractAbusive language detection has become an important tool for the cultivation of safe online platforms. We investigate the interaction of annotation quality and classifier performance. We use a new, fine-grained …...

20239