Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers. For access to our API, please email us at [email protected].
Data and code from our stories, "Google Has a Secret Blocklist that Hides YouTube Hate Videos from Advertisers—But It’s Full of Holes," and "Google Blocks Advertisers from Targeting Black Lives Matter YouTube Videos."
Can fear be used for polarisation and spreading negativity? Our paper accepted in The Web conference 2021 tries to explore this question in light of public Whatsapp groups.
PHARM (Preventing Hate Against Refugees and Migrants) is a European project funded by the European Union, within Rights, Equality and Citizenship program. The main goal of the project is to monitor and model hate speech against refugees and migrants in Greece, Italy and Spain in order to predict and combat hate crime.
Trained Neural Networks (LSTM, HybridCNN/LSTM, PyramidCNN, Transformers, etc.) & comparison for the task of Hate Speech Detection on the OLID Dataset (Tweets).
Repository hosting dataset for the Shared Task on Aggression Identification during First Workshop on Trolling, Aggression and Cyberbullying (TRAC - 1) as COLING - 2018. Please visit the workshop website - https://sites.google.com/view/trac1/home - for more details
Dockerized basic tweet classifier app. Hate speech and offensive language detection model using various Machine Learning and NLP techniques. Also, Hate Speech Detection for tweets with k8s Cluster
