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Information Retrieval (IR) systems are designed to deliver relevant content, but traditional systems may not optimize rankings for fairness, neutrality, or the balance of ideas.
The use of mmr, diversity-based reranking for reordering documents and producing summaries
Jaime Carbonell and Jade Goldstein. 1998 · 1998
Earlier work this paper cites.
Estimating causal effects of ballot order from a randomized natural experiment: The california alphabet lottery, 1978–2002
Daniel E Ho and Kosuke Imai. 2008 · 2002
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Assessing bias in search engines
Abbe Mowshowitz and Akira Kawaguchi. 2002 · 2002
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The political blogosphere and the 2004 us election: divided they blog
Lada A Adamic and Natalie Glance. 2005 · 2004
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Overview of duc 2005
Hoa Trang Dang. 2005 · 2005
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Evaluating the accuracy of implicit feedback from clicks and query reformulations in web search
Thorsten Joachims, Laura Granka, Bing Pan, Helene Hembrooke, Filip Radlinski, and Geri Gay. 2007 · 2007
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In google we trust: Users’ decisions on rank, position, and relevance
Bing Pan, Helene Hembrooke, Thorsten Joachims, Lori Lorigo, Geri Gay, and Laura Granka. 2007 · 2007
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Approximate nearest neighbor negative contrastive learning for dense text retrieval
Lee Xiong, Chenyan Xiong, Ye Li, Kwok-Fung Tang, Jialin Liu, Paul Bennett, Junaid Ahmed, and Arnold Overwijk. 2020 · 2007
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Novelty and diversity in information retrieval evaluation
Charles L.A. Clarke, Maheedhar Kolla, Gordon V. Cormack, Olga Vechtomova, Azin Ashkan, Stefan Büttcher, and Ian MacKinnon. 2008 · 2008
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Discrimination-aware data mining
Dino Pedreshi, Salvatore Ruggieri, and Franco Turini. 2008 · 2008
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Diversifying search results
Rakesh Agrawal, Sreenivas Gollapudi, Alan Halverson, and Samuel Ieong. 2009 · 2009
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Presentation bias is significant in determining user preference for search results—a user study
Judit Bar-Ilan, Kevin Keenoy, Mark Levene, and Eti Yaari. 2009 · 2009
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Measuring discrimination in socially-sensitive decision records
Dino Pedreschi, Salvatore Ruggieri, and Franco Turini. 2009 · 2009
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Simple evaluation metrics for diversified search results
Tetsuya Sakai, Nick Craswell, Ruihua Song, Stephen Robertson, Zhicheng Dou, and Chin-Yew Lin. 2010 · 2010
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Intent-aware search result diversification
Rodrygo L. T. Santos, Craig Macdonald, and Iadh Ounis. 2011 · 2011
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Augmenting web pages and search results to support credibility assessment
Julia Schwarz and Meredith Ringel Morris. 2011 · 2011
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The value of google result positioning
Chitika Insights. 2013 · 2013
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The impact of search engine selection and sorting criteria on vaccination beliefs and attitudes: two experiments manipulating google output
Ahmed Allam, Peter Johannes Schulz, Kent Nakamoto, et al. 2014 · 2014
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In search we trust: exploring how search engines are shaping society
Noel Carroll. 2014 · 2014
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The search engine manipulation effect (seme) and its possible impact on the outcomes of elections
Robert Epstein and Ronald E Robertson. 2015 · 2015
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Unequal representation and gender stereotypes in image search results for occupations
Matthew Kay, Cynthia Matuszek, and Sean A. Munson. 2015 · 2015
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Man is to computer programmer as woman is to homemaker? debiasing word embeddings
Tolga Bolukbasi, Kai-Wei Chang, James Y. Zou, Venkatesh Saligrama, and Adam Tauman Kalai. 2016 · 2016
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Modeling confirmation bias and polarization
Michela Del Vicario, Antonio Scala, Guido Caldarelli, H Eugene Stanley, and Walter Quattrociocchi. 2017 · 2017
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Ranking versus reputation: perception and effects of search result credibility
Alexander Haas and Julian Unkel. 2017 · 2017
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Ideological phrase indicators for classification of political discourse framing on Twitter
Kristen Johnson, I-Ta Lee, and Dan Goldwasser. 2017 · 2017
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Quantifying search bias: Investigating sources of bias for political searches in social media
Juhi Kulshrestha, Motahhare Eslami, Johnnatan Messias, Muhammad Bilal Zafar, Saptarshi Ghosh, Krishna P Gummadi, and Karrie Karahalios. 2017 · 2017
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Making sense of conflicting science information: Exploring bias in the search engine result page
Alamir Novin and Eric Meyers. 2017 · 2017
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The positive and negative influence of search results on people’s decisions about the efficacy of medical treatments
Frances A Pogacar, Amira Ghenai, Mark D Smucker, and Charles LA Clarke. 2017 · 2017
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Measuring fairness in ranked outputs
Ke Yang and Julia Stoyanovich. 2017 · 2017
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Bias on the web
Ricardo Baeza-Yates. 2018 · 2018
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Equity of attention: Amortizing individual fairness in rankings
When fair ranking meets uncertain inference
Avijit Ghosh, Ritam Dutt, and Christo Wilson. 2021 · 2021
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Facts-ir: fairness, accountability, confidentiality, transparency, and safety in information retrieval
Alexandra Olteanu, Jean Garcia-Gathright, Maarten de Rijke, Michael D Ekstrand, Adam Roegiest, Aldo Lipani, Alex Beutel, Alexandra Olteanu, Ana Lucic, Ana-Andreea Stoica, et al. 2021 · 2021
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Societal biases in retrieved contents: Measurement framework and adversarial mitigation of bert rankers
Navid Rekabsaz, Simone Kopeinik, and Markus Schedl. 2021 · 2021
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Beir: A heterogeneous benchmark for zero-shot evaluation of information retrieval models
Nandan Thakur, Nils Reimers, Andreas Rücklé, Abhishek Srivastava, and Iryna Gurevych. 2021 · 2021
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Neural retrieval for question answering with cross-attention supervised data augmentation
Yinfei Yang, Ning Jin, Kuo Lin, Mandy Guo, and Daniel Cer. 2021 · 2021
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Asia J. Biega, Krishna P. Gummadi, and Gerhard Weikum. 2018 · 2018
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Investigating the impact of gender on rank in resume search engines
Le Chen, Ruijun Ma, Anikó Hannák, and Christo Wilson. 2018 · 2018
Cited alongside, same era.
Fairness of exposure in rankings
Ashudeep Singh and Thorsten Joachims. 2018 · 2018
Cited alongside, same era.
Search bias quantification: investigating political bias in social media and web search
Juhi Kulshrestha, Motahhare Eslami, Johnnatan Messias, Muhammad Bilal Zafar, Saptarshi Ghosh, Krishna P Gummadi, and Karrie Karahalios. 2019 · 2019
Cited alongside, same era.
Sentence-BERT: Sentence embeddings using Siamese BERT-networks
Nils Reimers and Iryna Gurevych. 2019 · 2019
Cited alongside, same era.
Quantifying the impact of user attentionon fair group representation in ranked lists
Piotr Sapiezynski, Wesley Zeng, Ronald E Robertson, Alan Mislove, and Christo Wilson. 2019 · 2019
Cited alongside, same era.
We can detect your bias: Predicting the political ideology of news articles
Ramy Baly, Giovanni Da San Martino, James Glass, and Preslav Nakov. 2020 · 2020
Cited alongside, same era.
SPARTA: Efficient open-domain question answering via sparse transformer matching retrieval
Tiancheng Zhao, Xiaopeng Lu, and Kyusong Lee. 2021 · 2021
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To protect and to serve? analyzing entity-centric framing of police violence
Caleb Ziems and Diyi Yang. 2021 · 2021
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Task-aware retrieval with instructions
Akari Asai, Timo Schick, Patrick Lewis, Xilun Chen, Gautier Izacard, Sebastian Riedel, Hannaneh Hajishirzi, and Wen-tau Yih. 2022 · 2022
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Should you believe Wikipedia?: online communities and the construction of knowledge
Amy S Bruckman. 2022 · 2022
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Demonstrate-search-predict: Composing retrieval and language models for knowledge-intensive nlp
Omar Khattab, Keshav Santhanam, Xiang Lisa Li, David Hall, Percy Liang, Christopher Potts, and Matei Zaharia. 2022 · 2022
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On the characteristics of ranking-based gender bias measures
Anja Klasnja, Negar Arabzadeh, Mahbod Mehrvarz, and Ebrahim Bagheri. 2022 · 2022
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A review on fairness in machine learning
Dana Pessach and Erez Shmueli. 2022 · 2022
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Fairness in rankings and recommendations: an overview
Evaggelia Pitoura, Kostas Stefanidis, and Georgia Koutrika. 2022 · 2022
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Language models that seek for knowledge: Modular search & generation for dialogue and prompt completion
Kurt Shuster, Mojtaba Komeili, Leonard Adolphs, Stephen Roller, Arthur Szlam, and Jason Weston. 2022 · 2022
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Fairness in ranking, part i: Score-based ranking
Meike Zehlike, Ke Yang, and Julia Stoyanovich. 2022 · 2022
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Mitigating bias in search results through contextual document reranking and neutrality regularization
George Zerveas, Navid Rekabsaz, Daniel Cohen, and Carsten Eickhoff. 2022 · 2022
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Viewpoint diversity in search results
Tim Draws, Nirmal Roy, Oana Inel, Alisa Rieger, Rishav Hada, Mehmet Orcun Yalcin, Benjamin Timmermans, and Nava Tintarev. 2023 · 2023
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Active retrieval augmented generation
Zhengbao Jiang, Frank Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, and Graham Neubig. 2023 · 2023
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Grep-biasir: A dataset for investigating gender representation bias in information retrieval results
Klara Krieg, Emilia Parada-Cabaleiro, Gertraud Medicus, Oleg Lesota, Markus Schedl, and Navid Rekabsaz. 2023 · 2023
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Samuel Marks and Max Tegmark. 2023 · 2023
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A versatile framework for evaluating ranked lists in terms of group fairness and relevance
Tetsuya Sakai, Jin Young Kim, and Inho Kang. 2023 · 2023
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Can large language models transform computational social science?
Caleb Ziems, Omar Shaikh, Zhehao Zhang, William Held, Jiaao Chen, and Diyi Yang. 2023 · 2023
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Beyond relevance: Evaluate and improve retrievers on perspective awareness
Xinran Zhao, Tong Chen, Sihao Chen, Hongming Zhang, and Tongshuang Wu. 2024 · 2024
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Do neural ranking models intensify gender bias?
Navid Rekabsaz and Markus Schedl. 2020 · 2068
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