Introduces distributional fairness notion, axioms for ideal fairness evaluation in search, repurposes TREC collections, measures data bias, and proposes interpolation of fairness with relevance metrics.
Title resolution pending
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2019 3verdicts
UNVERDICTED 3representative citing papers
Proposes a fairness and diversity aware model for ranking participatory media content and evaluates it using call logs from a rural Indian voice platform against manual curation.
CobWeb is a research prototype that visualizes estimated user bias in fact-checking, with a study reporting that 80% of users found the bias indicator useful for judging claim veracity.
citing papers explorer
-
A Conceptual Framework for Evaluating Fairness in Search
Introduces distributional fairness notion, axioms for ideal fairness evaluation in search, repurposes TREC collections, measures data bias, and proposes interpolation of fairness with relevance metrics.
-
Fairness and Diversity in the Recommendation and Ranking of Participatory Media Content
Proposes a fairness and diversity aware model for ranking participatory media content and evaluates it using call logs from a rural Indian voice platform against manual curation.
-
CobWeb: A Research Prototype for Exploring User Bias in Political Fact-Checking
CobWeb is a research prototype that visualizes estimated user bias in fact-checking, with a study reporting that 80% of users found the bias indicator useful for judging claim veracity.