Challenges and frontiers in abusive content detection

Challenges and frontiers in abusive content detection - ACL Anthology

However, considerable challenges and unaddressed frontiers remain, spanning technical, social and ethical dimensions. These issues constrain the performance, ...

In this article we delineate and clarify the main challenges and frontiers in the field, critically evaluate their implications and discuss potential solutions.

Challenges and frontiers in abusive content detection

Developing robust systems to detect abuse is a crucial part of online content moderation and plays a fundamental role in creating an open, safe and ...

[PDF] Challenges and frontiers in abusive content detection

The main challenges and frontiers in the field are delineated, critically evaluate their implications and discuss potential solutions, and ways in which ...

Challenges and frontiers in abusive content detection - ResearchGate

degradation, which refers to the decline in the quality of datasets over time; annotation, which is characterised by low agreement among annotators and ...

bvidgen/Challenges-and-frontiers-in-abusive-content-detection

Researcher guidelines provided for the paper, 'Challenges and frontiers in abusive content detection' (Vidgen et al.

Challenges and frontiers in abusive content detection ... - GitHub

2019) - Challenges-and-frontiers-in-abusive-content-detection/Challenges and frontiers in abusive content detection Appendix - researcher guidelines.pdf at ...

Challenges and frontiers in abusive content detection - ORA

Vidgen, B, A Harris, D Nguyen, R Tromble, S Hale, and H Margetts. 2019. “Challenges and Frontiers in Abusive Content Detection.

‪Bertie Vidgen‬ - ‪Google Scholar‬

Challenges and frontiers in abusive content detection B Vidgen, A Harris, D Nguyen, R Tromble, S Hale, H Margetts Proceedings of the third workshop on abusive ...

Abuse Detection | Papers With Code

Abuse detection is the task of identifying abusive behaviors, such as hate speech, offensive language, sexism and racism, in utterances from social media ...

Hate speech: measures and counter-measures | The Alan Turing ...

Challenges and frontiers in abusive content detection. To appear at the 3rd Workshop on Abusive Language Online at ACL 2019. Related content.

arXiv:2112.03858v1 [cs.CL] 7 Dec 2021

Challenges and frontiers in abusive content detec- tion. In ... Detection of abusive language: the problem of biased datasets. In ...

Towards multidomain and multilingual abusive language detection

They outlined several challenges of the abusive content detection task from three different perspectives. From a research point of view, there ...

HiTACoD: Hierarchical Framework for Textual Abusive Content ...

Accessed 27 Feb 2023. ... Bertie V, Harris A, Nguyen D, Tromble R, Hale S, Margetts H. Challenges and frontiers in abusive content detection. In: ...

A Holistic Approach to Undesired Content Detection in the Real World

Challenges and frontiers in abusive content detection. In Proceedings of the Third Workshop on. Abusive Language Online, 80–93. Florence, Italy: Associa ...

Bias and comparison framework for abusive language datasets - PMC

Recently, numerous datasets have been produced as research activities in the field of automatic detection of abusive language or hate speech have increased.

The problem of varying annotations to identify abusive language in ...

The authors note that most research on abusive content detection focuses on text, but not on multimedia content. Additionally, the ...

Explainable Abuse Detection as Intent Classification and Slot Filling

The central goal of online content moderation is to offer users a safer experience by taking actions against abusive behaviors, such as hate ...

Abusive Language Detection in Online User Content

Detection of abusive language in user generated online content has become an issue of increasing importance in recent years. Most current commercial methods ...

Bias and comparison framework for abusive language datasets

Recently, numerous datasets have been produced as research activities in the field of automatic detection of abusive language or hate speech ...