preventhate.org | Policyinstitute.net
Averting and Countering Online Hatred.
Utilizing a sizable dataset from ConvAbuse, the researchers explore a number of machine learning models, including Logistic Regression and Random…
We can identify the benefits and drawbacks of the state-of-the-art methods that are currently in use by taking into account…
Browse and read from a list of the 215 most popular LinkedIn resources dealing with soft counter-extremism and countering hate…
In order to better detect hidden hate comments or posts, the paper introduces sarcasm-based rationale (emoticons or text segments that…
Browse and read from a list of the 330 most popular LinkedIn resources dealing with soft counter-extremism and countering hate…
The detection of hate speech online is a difficult topic that has drawn a lot of interest recently from the…
From day to day, tech companies – be it social media networks or chat services – moderate and remove large…
Browse and read from a list of the 200 most popular LinkedIn resources dealing with soft counter-extremism and countering hate…
In this study, the authors have calculated the equilibrium points of the hate speech sub-model, the racism sub-model, and the…
Browse and read from a list of the 150 most popular LinkedIn resources dealing with soft counter-extremism and countering hate…
This research presents a novel method: a multilingual semisupervised model that combines XLM-RoBERTa and mBERT, or more specifically, Generative Adversarial…
Adaptive links across smaller platforms connect the hate user base over time, strengthening hate networks, avoiding mitigations, and expanding their…