Topics of interest

The aim of this workshop is to bring together a community of researchers interested in tackling online harms and, at the same time, mitigating their impact on recommender systems. We will seek novel research contributions on misinformation- and harm-aware recommender systems. The main objective of the workshop is to further research in recommender systems that can circumvent the negative effects of online harms by promoting recommendation of safe content and users.

We solicit contributions in all topics related to misinformation- and harm-aware recommender systems, focusing on (but not limited to) the following list:

• Reducing misinformation effects (e.g. echo-chambers, filter bubbles)

• Hate speech detection and countermeasures

• User/content trustworthiness

• Bias detection and mitigation in data/algorithms

• Fairness and transparency in recommendations

• Explainable models of recommendations

• Dataset collection and processing

• Design of specific evaluation metrics

• Applications and case studies of misinformation- and harm-aware recommender systems