Bias on the web

Cited by (271)

Items 101–200 of 271

1. Fairness in Online Social Network Timelines
   Eduardo M. Hargreaves, C. Agosti, D. Menasché, G. Neglia, Alexandre Reiffers-Masson, E. Altman · 2018 · Performance evaluation (Print)
2. A step toward building a unified framework for managing AI bias
   Rana, Saadia Afzal, Azizul, Zati Hakim, Awan, Ali Afzal · 2023 · PeerJ Computer Science
3. The Effects of Crowd Worker Biases in Fact-Checking Tasks
   Draws, Tim, La Barbera, David, Soprano, Michael, Roitero, Kevin, Ceolin, Davide, Checco, Alessandro, Mizzaro, Stefano · 2022 · 2022 ACM Conference on Fairness Accountability and Transparency
4. Behavioural artificial intelligence: an agenda for systematic empirical studies of artificial inference
   Tore Pedersen, Christian Johansen · 2019 · AI & Society
5. Investigating and predicting online food recipe upload behavior
   Christoph Trattner, Tomasz Kuśmierczyk, Kjetil Nørvåg · 2019 · Information Processing & Management
6. Research Challenges at the Intersection of Big Data, Security and Privacy
   Murat Kantarcıoğlu, Elena Ferrari · 2019 · Frontiers in Big Data
7. Diversity by Design in Music Recommender Systems
   Lorenzo Porcaro, Carlos Castillo, Emília Gómez · 2021 · Transactions of the International Society for Music Information Retrieval
8. User Bias in Beyond-Accuracy Measurement of Recommendation Algorithms
   Wang, Ningxia, Chen, Li · 2021 · Fifteenth ACM Conference on Recommender Systems
9. (Un)fair Devices: Moving Beyond AI Accuracy in Personal Sensing
   Sofia Yfantidou, M. Constantinides, Dimitris Spathis, A. Vakali, D. Quercia, F. Kawsar · 2023 · ACM Journal on Responsible Computing
10. Quantifying participation biases on social media
    Neeti Pokhriyal, Benjamin A Valentino, Soroush Vosoughi · 2023 · EPJ Data Science
11. Debiaser for Multiple Variables to enhance fairness in classification tasks
    Giordano d’Aloisio, Andrea D’Angelo, Antinisca Di Marco, Giovanni Stilo · 2022 · Information Processing & Management
12. Models and mechanisms for spatial data fairness
    Sina Shaham, Gabriel Ghinita, Cyrus Shahabi · 2022 · Proceedings of the VLDB Endowment
13. Search results diversification for effective fair ranking in academic search
    Graham McDonald, Craig Macdonald, Iadh Ounis · 2021 · Information Retrieval
14. Semantic Web technologies and bias in artificial intelligence: A systematic literature review
    Paula Reyero Lobo, Enrico Daga, Harith Alani, Miriam Fernández · 2022 · Semantic Web
15. Integrating Behavioral, Economic, and Technical Insights to Understand and Address Algorithmic Bias: A Human-Centric Perspective
    G. Adomavicius, Mochen Yang · 2022 · ACM Transactions on Management Information Systems
16. Causal inference for social discrimination reasoning
    Bilal Qureshi, Faisal Kamiran, Asim Karim, Salvatore Ruggieri, Dino Pedreschi · 2019 · Journal of Intelligent Information Systems
17. <scp>FAIR</scp> : Fairness‐aware information retrieval evaluation
    Gao, Ruoyuan, Ge, Yingqiang, Shah, Chirag · 2022 · Journal of the Association for Information Science and Technology
18. "Help! Can You Hear Me?": Understanding How Help-Seeking Posts are Overwhelmed on Social Media during a Natural Disaster
    Chang-Yang He, Yue Deng, Wenjie Yang, Bo Li · 2022 · Proc. ACM Hum. Comput. Interact.
19. Ethical Challenges in AI
    R. Baeza-Yates · 2022 · Web Search and Data Mining
20. WhatTheWikiFact
    Anton Chernyavskiy, Dmitry Ilvovsky, Preslav Nakov · 2021 · ACM International Conference on Information and Knowledge Management (CIKM)
21. Representativeness of Abortion Legislation Debate on Twitter: A Case Study in Argentina and Chile
    Eduardo Graells-Garrido, R. Baeza-Yates, M. Lalmas · 2020 · The Web Conference
22. Characterization of Local Attitudes Toward Immigration Using Social Media
    Yerka Freire-Vidal, Eduardo Graells-Garrido · 2019 · The Web Conference
23. Introduction to Responsible AI
    Ricardo A. Baeza-Yates · 2024 · ACM International Conference on Web Search and Data Mining (WSDM)
24. Show me a "Male Nurse"! How Gender Bias is Reflected in the Query Formulation of Search Engine Users
    Simone Kopeinik, Martina Mara, Linda Ratz, Klara Krieg, M. Schedl, Navid Rekabsaz · 2023 · International Conference on Human Factors in Computing Systems
25. The Many Facets of Data Equity
    H. V. Jagadish, Julia Stoyanovich, B. Howe · 2022 · EDBT/ICDT Workshops
26. AI & Human Values - Inequalities, Biases, Fairness, Nudge, and Feedback Loops
    L. Devillers, F. Fogelman-Soulié, R. Baeza-Yates · 2021 · Reflections on Artificial Intelligence for Humanity
27. Artificial intelligence and algorithmic bias? Field tests on social network with teens
    Grazia Cecere, Clara Jean, Fabrice Le Guel, Matthieu Manant · 2024 · Technological Forecasting and Social Change
28. Uncovering Bias in Personal Informatics
    Sofia Yfantidou, Pavlos Sermpezis, Athena I. Vakali, Ricardo A. Baeza-Yates · 2023 · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
29. Gender Fairness in Information Retrieval Systems
    Amin Bigdeli, Negar Arabzadeh, Shirin Seyedsalehi, Morteza Zihayat, Ebrahim Bagheri A · 2022 · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
30. How to Handle Health-Related Small Imbalanced Data in Machine Learning?
    Maria Rauschenberger, R. Baeza-Yates · 2020 · i-com
31. How Representative is an Abortion Debate on Twitter?
    Eduardo Graells-Garrido, R. Baeza-Yates, M. Lalmas · 2019 · Web Science Conference
32. Iterated Algorithmic Bias in the Interactive Machine Learning Process of Information Filtering
    Wenlong Sun, O. Nasraoui, Patrick Shafto · 2018 · International Conference on Knowledge Discovery and Information Retrieval
33. Trouble in Paradise? Understanding Mastodon Admin's Motivations, Experiences, and Challenges Running Decentralised Social Media
    Zhang, Zhilin, Zhao, Jun, Wang, Ge, Johnston, Samantha-Kaye, Chalhoub, George, Ross, Tala, Liu, Diyi, Tinsman, Claudine, Zhao, Rui, Van Kleek, Max et al. · 2024 · Proceedings of the ACM on Human-Computer Interaction
34. A Comprehensive Study on Bias in Artificial Intelligence Systems
    Elif Kartal · 2022 · International Journal of Intelligent Information Technologies
35. Debiasing Vandalism Detection Models at Wikidata
    Stefan Heindorf, Yan Scholten, Gregor Engels, Martin Potthast · 2019 · International World Wide Web Conference (WWW)
36. Decoy Effect in Search Interaction: Understanding User Behavior and Measuring System Vulnerability
    Nuo Chen, Jiqun Liu, Hanpei Fang, Yuankai Luo, Tetsuya Sakai, Xiao-Ming Wu · 2024 · ACM Transactions on Information Systems
37. Fake News, Disinformation, Propaganda, and Media Bias
    Preslav Nakov, Giovanni Da San Martino · 2021 · ACM International Conference on Information and Knowledge Management (CIKM)
38. Culture Blind Leadership Research: How Semantically Determined Survey Data May Fail to Detect Cultural Differences
    Jan Ketil Arnulf, Kai R. T. Larsen · 2020 · Frontiers in Psychology
39. Assessing Susceptibility Factors of Confirmation Bias in News Feed Reading
    Nattapat Boonprakong, Saumya Pareek, Benjamin Tag, Jorge Gonçalves, Tilman Dingler · 2025 · CHI Conference on Human Factors in Computing Systems
40. Data Bias Management
    Gianluca Demartini, Kevin Roitero, Stefano Mizzaro · 2023 · Communications of the ACM
41. Breaking the routine: spatial hypertext concepts for active decision making in recommender systems
    Claus Atzenbeck, Eelco Herder, Daniel Roßner · 2023 · New Review of Hypermedia and Multimedia
42. A Framework to Understand Attitudes towards Immigration through Twitter
    Yerka Freire-Vidal, Eduardo Graells-Garrido, Francisco Rowe · 2021 · Applied Sciences
43. Analyzing Social Media Research: A Data Quality and Research Reproducibility Perspective
    A. Srivastava, Rajhans Mishra · 2021 · IIM Kozhikode Society & Management Review
44. Workshop on Fairness, Accountability, Confidentiality, Transparency, and Safety in Information Retrieval (FACTS-IR)
    Alexandra Olteanu, J. Garcia-Gathright, M. de Rijke, Michael D. Ekstrand · 2019 · Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
45. Empowering machine learning models with contextual knowledge for enhancing the detection of eating disorders in social media posts
    José Alberto Benítez‐Andrades, María Teresa Garcí­a-Ordás, Mayra Russo, Ahmad Sakor, Luis Daniel Fernandes Rotger, María-Esther Vidal · 2023 · Semantic Web
46. Probabilistic Permutation Graph Search: Black-Box Optimization for Fairness in Ranking
    Ali Vardasbi, F. Sarvi, M. de Rijke · 2022 · Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
47. Fake News, Disinformation, Propaganda, Media Bias, and Flattening the Curve of the COVID-19 Infodemic
    Preslav Nakov, Giovanni Da San Martino · 2021 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
48. Toward Equitable Progress: A Review of Equity Assessment and Perspectives in Emerging Technologies and Mobility Innovations in Transportation
    Jingqin Gao, Fan Zuo, Di Yang, Yu Tang, K. Ozbay, Molly Seeley · 2025 · Journal of Transportation Engineering Part A Systems
49. Artificial Intelligence and Cognitive Biases: A Viewpoint
    Alexander Brem, Giorgia Rivieccio · 2024 · Journal of Innovation Economics & Management
50. Query Refinement for Diverse Top-k Selection
    Felix S. Campbell, Alon Silberstein, Julia Stoyanovich, Y. Moskovitch · 2024 · Proc. ACM Manag. Data
51. Measuring Bias
    Aida Sharif Rohani, Ricardo A. Baeza-Yates · 2023 · BigData Congress [Services Society]
52. Tweets on the Go: Gender Differences in Transport Perception and Its Discussion on Social Media
    Paula Vasquez-Henriquez, Eduardo Graells-Garrido, D. Caro · 2020 · Sustainability
53. Studying human-to-computer bias transference
    Johanna Johansen, Tore Pedersen, Christian Johansen · 2021 · AI & Society
54. Navigating the Risks: A Survey of Security and Privacy Threats in LLM-Based Agents
    Yuyou Gan, Yi Yang, Z W, Ping He, Rui Zeng, Yiming Wang, Qingming Li, Chunyi Zhou, Songze Li, Ting Wang et al. · 2026 · ACM Transactions on Software Engineering and Methodology
55. Recommender Systems, Ground Truth, and Preference Pollution
    G. Adomavicius, Jesse C. Bockstedt, Shawn P. Curley, Jingjing Zhang · 2022 · The AI Magazine
56. ExpScore: Learning Metrics for Recommendation Explanation
    Bingbing Wen, Yunhe Feng, Yongfeng Zhang, Chirag Suresh Shah · 2022 · International World Wide Web Conference (WWW)
57. A GA-based algorithm meets the fair ranking problem
    Saedeh Tahery, S. Z. Aftabi, Saeed Farzi · 2021 · Information Processing & Management
58. Rolling in the Deep of Cognitive and AI Biases
    Nicoleta Tantalaki, A. Vakali · 2024 · Communications of the ACM
59. Towards improving user awareness of search engine biases: A participatory design approach
    Monica Lestari Paramita, Maria Kasinidou, Styliani Kleanthous, Paolo Rosso, Tsvi Kuflik, Frank Hopfgartner · 2023 · Journal of the Association for Information Science and Technology
60. Properties of Group Fairness Measures for Rankings
    Tobias Schumacher, Marlene Lutz, Sandipan Sikdar, M. Strohmaier · 2022 · ACM Transactions on Social Computing
61. The Idiosyncratic Effects of Adversarial Training on Bias in Personalized Recommendation Learning
    V. W. Anelli, T. D. Noia, Felice Antonio Merra · 2021 · ACM Conference on Recommender Systems
62. Reframing AX with Critical Design: The Potentials and Limits of Algorithmic Experience as a Critical Design Concept
    Goda Klumbytė, Phillip Lücking, Claude Draude · 2020 · Nordic Conference on Human-Computer Interaction
63. Volume and control: the transition from information to power
    E. Segev · 2019 · Journal of Multicultural Discourses
64. Using Pareto simulated annealing to address algorithmic bias in machine learning
    Blanzeisky, William, Cunningham, Pádraig · 2022 · The Knowledge Engineering Review
65. Authenticity and exclusion: a simulation study of how social media algorithms shape visibility in epistemic communities
    Nil-Jana Akpinar, Sina Fazelpour · 2025 · Synthese
66. Search under Uncertainty: Cognitive Biases and Heuristics: A Tutorial on Testing, Mitigating and Accounting for Cognitive Biases in Search Experiments
    Ji-Qun Liu, Leif Azzopardi · 2024 · Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
67. On the trade-off between ranking effectiveness and fairness
    Massimo Melucci · 2023 · Expert Systems with Applications
68. A Re-ranking Approach for Two-sided Fairness on Recommendation Systems
    Yaowei Peng, Xuezhong Qian, Wei Song · 2023 · International Conference on Computing, Networks and Internet of Things (CNIOT)
69. Who Does Not Benefit from Fact-checking Websites?
    Yuko Tanaka, Miwa Inuzuka, Hiromi Arai, Yoichi Takahashi, Minao Kukita, Kentaro Inui · 2023 · CHI Conference on Human Factors in Computing Systems
70. BiaScope: Visual Unfairness Diagnosis for Graph Embeddings
    Agapi Rissaki, Bruno Scarone, David Liu, Aditeya Pandey, Brennan Klein, Tina Eliassi-Rad, Michelle A. Borkin · 2022 · 2022 IEEE Visualization in Data Science (VDS)
71. Bots don’t Vote, but They Surely Bother!: A Study of Anomalous Accounts in a National Referendum
    Eduardo Graells-Garrido, R. Baeza-Yates · 2022 · Web Science Conference
72. The Attention Economy and the Impact of Artificial Intelligence
    R. Baeza-Yates, U. Fayyad · 2021 · Perspectives on Digital Humanism
73. Enhancing recommender systems with provider fairness through preference distribution-awareness
    Elizabeth Gómez, David Contreras, L. Boratto, Maria Salamó · 2025 · Int. J. Inf. Manag. Data Insights
74. Workshop on Understanding and Mitigating Cognitive Biases in Human-AI Collaboration
    Nattapat Boonprakong, Gaole He, U. Gadiraju, N. van Berkel, Danding Wang, Si Chen, Ji-Qun Liu, B. Tag, Jorge Gonçalves, Tilman Dingler · 2023 · CSCW Companion
75. AI-Enabled Solutions, Explainability and Ethical Concerns for Predicting Sepsis in ICUs: A Systematic Review
    Christina-Athanasia I. Alexandropoulou, Ilias E. Panagiotopoulos, Styliani Kleanthous, G. Dimitrakopoulos, Ioannis Constantinou, Eleni Politi, D. Ntalaperas, Xanthi S. Papageorgiou, C. Stylianides, Nikos Ioannides et al. · 2023 · IEEE International Conference on e-Science
76. Exploration of Framing Biases in Polarized Online Content Consumption
    Markus Reiter-Haas · 2023 · The Web Conference
77. Pull–push: a measure of over- or underpersonalization in recommendation
    Gebrekirstos G. Gebremeskel, Arjen P. de Vries · 2022 · International Journal of Data Science and Analytics
78. Analyzing the Influence of Bigrams on Retrieval Bias and Effectiveness
    Abdulaziz Alqatan, L. Azzopardi, Yashar Moshfeghi · 2020 · International Conference on the Theory of Information Retrieval
79. Towards a non-functional requirements discovery approach for persuasive systems
    Nelly Condorí-Fernández, Jo�ão Araújo, Alejandro Catalá, Patricia Lago · 2020 · ACM Symposium on Applied Computing
80. Destination (Un)Known: Auditing Bias and Fairness in LLM-Based Travel Recommendations
    Hristo Andreev, P. Kosmas, Antonios D. Livieratos, A. Theocharous, A. Zopiatis · 2025 · Applied Informatics
81. A realistic evaluation of the dark side of data in the digital ecosystem
    Faten Jaber, Muneer Abbad · 2023 · Journal of Information Science
82. Smell and Taste Disorders Knowledge Graph: Answering Questions Using Health Data
    Amar Tauqeer, Ismaheel Hammid, Sareh Aghaei, Parvaneh Parvin, E. Postma, A. Fensel · 2023 · Expert systems with applications
83. Persona Prototypes for Improving the Qualitative Evaluation of Recommendation Systems
    Joanna Misztal-Radecka, Bipin Indurkhya · 2020 · ACM Conference on User Modeling, Adaptation and Personalization (UMAP)
84. Discrimination analysis of intelligent voice assistants
    Lanna Lima, Vasco Furtado, E. Furtado, Virgílio A. F. Almeida, Thiago Hellen Oliveira da Silva · 2019 · Simpósio Brasileiro de Fatores Humanos em Sistemas Computacionais
85. Beyond Click to Cognition
    Yuko Tanaka, Hiromi Arai, Miwa Inuzuka, Yoichi Takahashi, Minao Kukita, Ryuta Iseki, Kentaro Inui · 2025 · CHI Conference on Human Factors in Computing Systems
86. Open access publications drive few visits from Google Search results to institutional repositories
    E. Orduña-Malea, Cristina I. Font-Julián, Jorge Serrano-Cobos · 2024 · Scientometrics
87. The Limitations of Data, Machine Learning and Us
    R. Baeza-Yates · 2024 · SIGMOD Conference Companion
88. Longitudinal Impact of Preference Biases on Recommender Systems' Performance
    Meizi Zhou, Jingjing Zhang, G. Adomavicius · 2023 · Information systems research
89. Fair Facial Attribute Classification via Causal Graph-Based Attribute Translation
    Sunghun Kang, Gwangsu Kim, Chang D. Yoo · 2022 · Sensors
90. Dirichlet–Luce choice model for learning from interactions
    Gökhan Çapan, İlker Gündoğdu, Ali Caner Türkmen, Ali Taylan Cemgil · 2022 · User Modeling and User-Adapted Interaction
91. Sender vs. recipient-orientated information systems revisited
    Andrew MacFarlane, Sondess Missaoui, Stephann Makri, Marisela Gutierrez Lopez · 2021 · Journal of Documentation
92. Getting to Know Your Neighbors (KYN). Explaining Item Similarity in Nearest Neighbors Collaborative Filtering Recommendations
    Joanna Misztal-Radecka, Bipin Indurkhya · 2020 · ACM Conference on User Modeling, Adaptation and Personalization (UMAP)
93. User Interfaces in Smart Cities
    Torin Hopkins, S. Sandra Bae, Julia Uhr, Amy Ulinski Banic, Clement Zheng, Ellen Yi–Luen · 2021 · Springer eBooks
94. A bias detection tree approach for detecting disparities in a recommendation model’s errors
    Misztal-Radecka, Joanna, Indurkhya, Bipin · 2023 · User Modeling and User-Adapted Interaction
95. "Can You Tell Me?": Designing Copilots to Support Human Judgement in Online Information Seeking
    M. Bink, Marten Risius, David Elsweiler, U. Kruschwitz · 2026 · Conference on Human Information Interaction and Retrieval
96. Fairness Testing in Retrieval-Augmented Generation: How Small Perturbations Reveal Bias in Small Language Models
    Matheus Vinicius da Silva de Oliveira, Jonathan de Andrade Silva, Awdren de Lima Fontão · 2025 · Brazilian Symposium on Software Quality
97. Evaluating Cognitive Biases in Conversational and Generative IIR: A Tutorial
    Leif Azzopardi, Ji-Qun Liu · 2024 · SIGIR-AP
98. “What are they not telling me?” Learning machine learning: Understanding the challenges for novices
    Robert Cinca, Enrico Costanza, Mirco Musolesi, Muna Alebri · 2024 · International Journal of Human-Computer Studies
99. A framework to support experimentation in the context of Cognitive Biases in Search as a Learning process
    Marcelo Machado, Elias Cyrino Assis, J. Souza, S. W. M. Siqueira · 2024 · Brazilian Symposium on Information Systems
100. The hidden depths of suicidal discourse: Network analysis and natural language processing unmask uncensored expression
     D. Lekkas, Nicholas C. Jacobson · 2023 · Digital Health