8 citations · 22 across the 4 of their papers we have counts for
3 papers · 1 filter
Empowering NGOs in Countering Online Hate Messages
Yi-Ling Chung, Serra Sinem Tekiroglu, Sara Tonelli +1
Studies on online hate speech have mostly focused on the automated detection of harmful messages. Little attention has been devoted so far to the development of effective strategie…
Abuse is Contextual, What about NLP? The Role of Context in Abusive Language Annotation and Detection
Stefano Menini, Alessio Palmero Aprosio, Sara Tonelli
The datasets most widely used for abusive language detection contain lists of messages, usually tweets, that have been manually judged as abusive or not by one or more annotators,…
Creating a Multimodal Dataset of Images and Text to Study Abusive Language
Alessio Palmero Aprosio, Stefano Menini, Sara Tonelli
In order to study online hate speech, the availability of datasets containing the linguistic phenomena of interest are of crucial importance. However, when it comes to specific tar…