Directions in abusive language training data, a systematic review: Garbage in, garbage out
Data-driven and machine learning based approaches for detecting, categorising and
measuring abusive content such as hate speech and harassment have gained traction due …
measuring abusive content such as hate speech and harassment have gained traction due …
Thirty years of research into hate speech: topics of interest and their evolution
A Tontodimamma, E Nissi, A Sarra, L Fontanella - Scientometrics, 2021 - Springer
The exponential growth of social media has brought with it an increasing propagation of
hate speech and hate based propaganda. Hate speech is commonly defined as any …
hate speech and hate based propaganda. Hate speech is commonly defined as any …
Develo** an online hate classifier for multiple social media platforms
The proliferation of social media enables people to express their opinions widely online.
However, at the same time, this has resulted in the emergence of conflict and hate, making …
However, at the same time, this has resulted in the emergence of conflict and hate, making …
The disagreement deconvolution: Bringing machine learning performance metrics in line with reality
Machine learning classifiers for human-facing tasks such as comment toxicity and
misinformation often score highly on metrics such as ROC AUC but are received poorly in …
misinformation often score highly on metrics such as ROC AUC but are received poorly in …
Identifying and measuring annotator bias based on annotators' demographic characteristics
Abstract Machine learning is recently used to detect hate speech and other forms of abusive
language in online platforms. However, a notable weakness of machine learning models is …
language in online platforms. However, a notable weakness of machine learning models is …
Detecting weak and strong Islamophobic hate speech on social media
Islamophobic hate speech on social media is a growing concern in contemporary Western
politics and society. It can inflict considerable harm on any victims who are targeted, create a …
politics and society. It can inflict considerable harm on any victims who are targeted, create a …
ConvAbuse: Data, analysis, and benchmarks for nuanced abuse detection in conversational AI
AC Curry, G Abercrombie, V Rieser - ar** online hate: A scientometric analysis on research trends and hotspots in research on online hate
Internet and social media participation open doors to a plethora of positive opportunities for
the general public. However, in addition to these positive aspects, digital technology also …
the general public. However, in addition to these positive aspects, digital technology also …