A survey on automatic detection of hate speech in text
The scientific study of hate speech, from a computer science point of view, is recent. This
survey organizes and describes the current state of the field, providing a structured overview …
survey organizes and describes the current state of the field, providing a structured overview …
Resources and benchmark corpora for hate speech detection: a systematic review
Hate Speech in social media is a complex phenomenon, whose detection has recently
gained significant traction in the Natural Language Processing community, as attested by …
gained significant traction in the Natural Language Processing community, as attested by …
Holistic evaluation of language models
Language models (LMs) are becoming the foundation for almost all major language
technologies, but their capabilities, limitations, and risks are not well understood. We present …
technologies, but their capabilities, limitations, and risks are not well understood. We present …
Dealing with disagreements: Looking beyond the majority vote in subjective annotations
Majority voting and averaging are common approaches used to resolve annotator
disagreements and derive single ground truth labels from multiple annotations. However …
disagreements and derive single ground truth labels from multiple annotations. However …
The risk of racial bias in hate speech detection
We investigate how annotators' insensitivity to differences in dialect can lead to racial bias in
automatic hate speech detection models, potentially amplifying harm against minority …
automatic hate speech detection models, potentially amplifying harm against minority …
Algorithmic content moderation: Technical and political challenges in the automation of platform governance
As government pressure on major technology companies builds, both firms and legislators
are searching for technical solutions to difficult platform governance puzzles such as hate …
are searching for technical solutions to difficult platform governance puzzles such as hate …
The design and implementation of xiaoice, an empathetic social chatbot
This article describes the development of Microsoft **aoIce, the most popular social chatbot
in the world. **aoIce is uniquely designed as an artifical intelligence companion with an …
in the world. **aoIce is uniquely designed as an artifical intelligence companion with an …
Sentiment analysis in the era of large language models: A reality check
Sentiment analysis (SA) has been a long-standing research area in natural language
processing. It can offer rich insights into human sentiments and opinions and has thus seen …
processing. It can offer rich insights into human sentiments and opinions and has thus seen …
Overview of the hasoc track at fire 2019: Hate speech and offensive content identification in indo-european languages
The identification of Hate Speech in Social Media is of great importance and receives much
attention in the text classification community. There is a huge demand for research for …
attention in the text classification community. There is a huge demand for research for …
Detecting hate speech on twitter using a convolution-gru based deep neural network
Z Zhang, D Robinson, J Tepper - … 2018, Heraklion, Crete, Greece, June 3 …, 2018 - Springer
In recent years, the increasing propagation of hate speech on social media and the urgent
need for effective counter-measures have drawn significant investment from governments …
need for effective counter-measures have drawn significant investment from governments …