In this project, we are training a team of legal experts to label YouTube comments about controversial topics. They will be trained using legal definitions and case law on abusive language. The team will use a scale to label whether the comments are abusive. The scale includes labels to represent comments situated in a grey area.Learn more
This research project brings together expertise from NLP and EU consumer law to make a gap-filling contribution focused on determining which influencer marketing business models can be identified on Instagram, and how users perceive them.Learn more
This student research project focuses on the classification and feature extraction of hate speech comments and the detection of swarm behaviour on Youtube, based on an original data set created by collecting comments from influencer videos on YouTube covering different topics and channels.
This project looks into the factual practices of recommender systems affecting social media influencers on various platforms and answers the question of under which conditions these practices can be considered unfair in US law and EU law.Learn more
This project aims to use machine learning methods to analyse public reactions to content creators on Twitch and Youtube being banned from their respective platforms (or sanctioned in other ways) due to their controversial content.Learn more
This research project maps Instagram influencers from Romania with over 100k followers. It proposes a definition for the term ‘influencer’ and a labelling method.Learn more