Keyword Recommendation for Fair Search

Harshit Mishra; Sucheta Soundarajan

doi:10.1007/978-3-031-09316-6_12

Keyword Recommendation for Fair Search

Harshit Mishra, Sucheta Soundarajan

Department of Electrical Engineering & Computer Science

Research output: Chapter in Book/Entry/Poem › Conference contribution

Abstract

Online search engines are an extremely popular tool for seeking information. However, the results returned sometimes exhibit undesirable or even wrongful forms of bias, such as with respect to gender or race. In this paper, we consider the problem of fair keyword recommendation, in which the goal is to suggest keywords that are relevant to a user’s search query, but exhibit less (or opposite) bias. We present a multi-objective optimization method that uses word embeddings to suggest alternate keywords for biased keywords present in a search query. We perform a qualitative analysis on pairs of subReddits from Reddit.com (r/Republican vs. r/democrats). Our results demonstrate the efficacy of the proposed method and illustrate subtle linguistic differences between subReddits.

Original language	English (US)
Title of host publication	Advances in Bias and Fairness in Information Retrieval - 3rd International Workshop, BIAS 2022, Revised Selected Papers
Editors	Ludovico Boratto, Mirko Marras, Stefano Faralli, Giovanni Stilo
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	130-142
Number of pages	13
ISBN (Print)	9783031093159
DOIs	https://doi.org/10.1007/978-3-031-09316-6_12
State	Published - 2022
Event	3rd International Workshop on Algorithmic Bias in Search and Recommendation, BIAS 2022, held as part of the 43rd European Conference on Information Retrieval, ECIR 2022 - Stavanger, Norway Duration: Apr 10 2022 → Apr 10 2022

Publication series

Name	Communications in Computer and Information Science
Volume	1610 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	3rd International Workshop on Algorithmic Bias in Search and Recommendation, BIAS 2022, held as part of the 43rd European Conference on Information Retrieval, ECIR 2022
Country/Territory	Norway
City	Stavanger
Period	4/10/22 → 4/10/22

Keywords

bias
recommender systems
search engine

ASJC Scopus subject areas

General Computer Science
General Mathematics

Access to Document

10.1007/978-3-031-09316-6_12

Cite this

Mishra, H., & Soundarajan, S. (2022). Keyword Recommendation for Fair Search. In L. Boratto, M. Marras, S. Faralli, & G. Stilo (Eds.), Advances in Bias and Fairness in Information Retrieval - 3rd International Workshop, BIAS 2022, Revised Selected Papers (pp. 130-142). (Communications in Computer and Information Science; Vol. 1610 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-09316-6_12

Keyword Recommendation for Fair Search. / Mishra, Harshit; Soundarajan, Sucheta.
Advances in Bias and Fairness in Information Retrieval - 3rd International Workshop, BIAS 2022, Revised Selected Papers. ed. / Ludovico Boratto; Mirko Marras; Stefano Faralli; Giovanni Stilo. Springer Science and Business Media Deutschland GmbH, 2022. p. 130-142 (Communications in Computer and Information Science; Vol. 1610 CCIS).

Research output: Chapter in Book/Entry/Poem › Conference contribution

Mishra, H & Soundarajan, S 2022, Keyword Recommendation for Fair Search. in L Boratto, M Marras, S Faralli & G Stilo (eds), Advances in Bias and Fairness in Information Retrieval - 3rd International Workshop, BIAS 2022, Revised Selected Papers. Communications in Computer and Information Science, vol. 1610 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 130-142, 3rd International Workshop on Algorithmic Bias in Search and Recommendation, BIAS 2022, held as part of the 43rd European Conference on Information Retrieval, ECIR 2022, Stavanger, Norway, 4/10/22. https://doi.org/10.1007/978-3-031-09316-6_12

Mishra H, Soundarajan S. Keyword Recommendation for Fair Search. In Boratto L, Marras M, Faralli S, Stilo G, editors, Advances in Bias and Fairness in Information Retrieval - 3rd International Workshop, BIAS 2022, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2022. p. 130-142. (Communications in Computer and Information Science). doi: 10.1007/978-3-031-09316-6_12

Mishra, Harshit ; Soundarajan, Sucheta. / Keyword Recommendation for Fair Search. Advances in Bias and Fairness in Information Retrieval - 3rd International Workshop, BIAS 2022, Revised Selected Papers. editor / Ludovico Boratto ; Mirko Marras ; Stefano Faralli ; Giovanni Stilo. Springer Science and Business Media Deutschland GmbH, 2022. pp. 130-142 (Communications in Computer and Information Science).

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