Explainable Cross-Topic Stance Detection for Search Results

Searching for the Whole Truth: Harnessing the Power of Intellectual Humility to Boost Better Search on Debated Topics

Disentangling Fairness Perceptions in Algorithmic Decision-Making: The Effects of Explanations, Human Oversight, and Contestability

Evaluating explainable social choice-based aggregation strategies for group recommendation

Viewpoint Diversity in Search Results

Comprehensive viewpoint representations for a deeper understanding of user interactions with debated topics

Towards Healthy Engagement with Online Debates: An Investigation of Debate Summaries and Personalized Persuasive Suggestions

Factors influencing privacy concern for explanations of group recommendation

A Checklist to Combat Cognitive Biases in Crowdsourcing

Workshop on Explainable User Models and Personalized Systems (ExUM 2021)

This Is Not What We Ordered: Exploring Why Biased Search Result Rankings Affect User Attitudes on Debated Topics

Operationalizing Framing to Support Multiperspective Recommendations of Opinion Pieces

Assessing Viewpoint Diversity in Search Results Using Ranking Fairness Metrics

Toward Natural Language Mitigation Strategies for Cognitive Biases in Recommender Systems

Design Implications for Explanations: A Case Study on Supporting Reflective Assessment of Potentially Misleading Videos

This Item Might Reinforce Your Opinion: Obfuscation and Labeling of Search Results to Mitigate Confirmation Bias

Exploring User Concerns about Disclosing Location and Emotion Information in Group Recommendations

Helping users discover perspectives: Enhancing opinion mining with joint topic models

Interactive Natural Language Technology for Explainable Artificial Intelligence

Motivated Numeracy and Active Reasoning in a Western European Sample