helpResearch questionFairness in Recommendation and Ranking Systems
How do users form and maintain self-filtering bubbles (SFBs) in argumentative dialogue?Fairness, Bias, and Research Governance / Fairness in Recommendation and Ranking Systems
How do users form and maintain self-filtering bubbles (SFBs) in argumentative dialogue?
Similar questions
helpResearch questionFairness in Recommendation and Ranking Systems
In multi-party conversations, are recommendation systems better suited to leading or following the dialogue?CUI '24A Pilot Study on Multi-Party Conversation Strategies for Group Recommendations
helpResearch questionFairness in Recommendation and Ranking Systems
How does user personality (e.g., openness) affect acceptance of multi-party recommender system behavior?CUI '24A Pilot Study on Multi-Party Conversation Strategies for Group Recommendations
helpResearch questionFairness in Recommendation and Ranking Systems
How do different dialogue strategies affect user experience, group performance, and dialogue fairness?CUI '24A Pilot Study on Multi-Party Conversation Strategies for Group Recommendations
helpResearch questionFairness in Recommendation and Ranking Systems
Can information bias be intervened upon by modeling dynamic changes in users' SFBs?helpResearch questionFairness in Recommendation and Ranking Systems
In what ways can quantified SFB models enhance cooperative argumentative dialogue systems (ADSs)?helpResearch questionFairness in Recommendation and Ranking Systems
How do users' personality traits affect their perception of fairness in group music recommender systems?