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Recommending With, Not For: Co-Designing Recommender Systems for Social Good
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/aaai.12054openalex-snapshot
The multisided complexity of fairness in recommender systems
inferredcites →https://doi.org/10.1007/978-1-0716-2197-4_15openalex-snapshot
Evaluating Recommender Systems
inferredcites →https://doi.org/10.1007/978-1-4899-7637-6_10openalex-snapshot
Explaining Recommendations: Design and Evaluation
inferredcites →https://doi.org/10.1007/978-1-84628-768-8openalex-snapshot
Fieldwork for Design : Theory and Practice
inferredcites →https://doi.org/10.1007/978-3-031-44067-0_30openalex-snapshot
A Co-design Study for Multi-stakeholder Job Recommender System Explanations
inferredcites →https://doi.org/10.1007/978-3-031-55109-3_1openalex-snapshot
Human Factors in User Modeling for Intelligent Systems
inferredcites →https://doi.org/10.1007/978-3-031-56066-8_25openalex-snapshot
Not Just Algorithms: Strategically Addressing Consumer Impacts in Information Retrieval
inferredcites →https://doi.org/10.1007/s00146-020-00950-yopenalex-snapshot
Recommender Systems and their Ethical Challenges
inferredcites →https://doi.org/10.1007/s00146-023-01725-xopenalex-snapshot
AI language models cannot replace human research participants
inferredcites →https://doi.org/10.1007/s10606-014-9210-5openalex-snapshot
Sketching Awareness: A Participatory Study to Elicit Designs for Supporting Ad Hoc Emergency Medical Teamwork
inferredcites →https://doi.org/10.1007/s10844-020-00633-6openalex-snapshot
Recommender systems in the healthcare domain: state-of-the-art and research issues
inferredcites →https://doi.org/10.1007/s11257-011-9118-4openalex-snapshot
Explaining the user experience of recommender systems
inferredcites →https://doi.org/10.1007/s11257-019-09256-1openalex-snapshot
Multistakeholder recommendation: Survey and research directions
inferredcites →https://doi.org/10.1007/s11257-023-09364-zopenalex-snapshot
Fairness in recommender systems: research landscape and future directions
inferredcites →https://doi.org/10.1016/j.ijhcs.2025.103560openalex-snapshot
De-centering the (Traditional) user: Multistakeholder evaluation of recommender systems
inferredcites →https://doi.org/10.1016/j.scico.2013.12.004openalex-snapshot
Extending web-based educational systems with personalised support through User Centred Designed recommendations along the e-learning life cycle
inferredcites →https://doi.org/10.1016/j.tics.2023.04.008openalex-snapshot
Can AI language models replace human participants?
inferredcites →https://doi.org/10.1017/9781108653985openalex-snapshot
Trustworthy Online Controlled Experiments
inferredcites →https://doi.org/10.1023/a:1008689307411openalex-snapshot
Participatory Design: Issues and Concerns
inferredcites →https://doi.org/10.1080/15710880701875068openalex-snapshot
Co-creation and the new landscapes of design
inferredcites →https://doi.org/10.1108/ajim-11-2019-0309openalex-snapshot
Enhancing classroom instruction with online news
inferredcites →https://doi.org/10.1109/wi-iat.2014.116openalex-snapshot
How Can We Help Our K-12 Teachers?: Using a Recommender to Make Personalized Book Suggestions
inferredcites →https://doi.org/10.1145/1124772.1124798openalex-snapshot
Participatory design in emergency medical service
inferredcites →https://doi.org/10.1145/1183614openalex-snapshot
Proceedings of the 15th ACM international conference on Information and knowledge management - CIKM '06
inferredcites →https://doi.org/10.1145/223904.223929openalex-snapshot
Recommending and evaluating choices in a virtual community of use
inferredcites →https://doi.org/10.1145/2347635.2347642openalex-snapshot
Disentangling power and decision-making in participatory design
inferredcites →https://doi.org/10.1145/2470654.2470670openalex-snapshot
Why interactive learning environments can have it all
inferredcites →https://doi.org/10.1145/2645710.2645721openalex-snapshot
Automating readers' advisory to make book recommendations for K-12 readers
inferredcites →https://doi.org/10.1145/2959100openalex-snapshot
Proceedings of the 10th ACM Conference on Recommender Systems
inferredcites →https://doi.org/10.1145/2959100.2959189openalex-snapshot
Recommender Systems for Self-Actualization
inferredcites →https://doi.org/10.1145/3025453.3025787openalex-snapshot
Examining Adult-Child Interactions in Intergenerational Participatory Design
inferredcites →https://doi.org/10.1145/3079628.3079657openalex-snapshot
Recommender Systems as Multistakeholder Environments
inferredcites →https://doi.org/10.1145/3109859.3109902openalex-snapshot
Effective User Interface Designs to Increase Energy-efficient Behavior in a Rasch-based Energy Recommender System
inferredcites →https://doi.org/10.1145/3145472openalex-snapshot
Participatory Design and Participatory Research
inferredcites →https://doi.org/10.1145/3152420openalex-snapshot
Participatory Design in Emerging Civic Engagement Initiatives in the New Public Sector
inferredcites →https://doi.org/10.1145/3170427.3188397openalex-snapshot
"So, Tell Me What Users Want, What They Really, Really Want!"
inferredcites →https://doi.org/10.1145/3219819.3220088openalex-snapshot
Fairness of Exposure in Rankings
inferredcites →https://doi.org/10.1145/3240323.3240350openalex-snapshot
Multistakeholder recommendation with provider constraints
inferredcites →https://doi.org/10.1145/3240323.3240405openalex-snapshot
Recommending social-interactive games for adults with autism spectrum disorders (ASD)
inferredcites →https://doi.org/10.1145/3298689.3347014openalex-snapshot
Designing for the better by taking users into account
inferredcites →https://doi.org/10.1145/3340531.3411962openalex-snapshot
Evaluating Stochastic Rankings with Expected Exposure
inferredcites →https://doi.org/10.1145/3340631.3394845openalex-snapshot
Personalized Recommendation of PoIs to People with Autism
inferredcites →https://doi.org/10.1145/3340631.3394867openalex-snapshot
Recommending Video Games to Adults with Autism Spectrum Disorder for Social-Skill Enhancement
inferredcites →https://doi.org/10.1145/3351095.3372874openalex-snapshot
Toward situated interventions for algorithmic equity
inferredcites →https://doi.org/10.1145/3383313.3412251openalex-snapshot
Towards Safety and Sustainability: Designing Local Recommendations for Post-pandemic World
inferredcites →https://doi.org/10.1145/3404835.3463235openalex-snapshot
The Winner Takes it All: Geographic Imbalance and Provider (Un)fairness in Educational Recommender Systems
inferredcites →https://doi.org/10.1145/3441852.3471225openalex-snapshot
Disability-first Dataset Creation: Lessons from Constructing a Dataset for Teachable Object Recognition with Blind and Low Vision Data Collectors
inferredcites →https://doi.org/10.1145/3450613.3456835openalex-snapshot
Fairness and Transparency in Recommendation: The Users’ Perspective
inferredcites →https://doi.org/10.1145/3477495.3532018openalex-snapshot
Measuring Fairness in Ranked Results
inferredcites →https://doi.org/10.1145/3479609openalex-snapshot
A Human-Centered Systematic Literature Review of the Computational Approaches for Online Sexual Risk Detection
inferredcites →https://doi.org/10.1145/3490099.3511158openalex-snapshot
Explaining Call Recommendations in Nursing Homes: a User-Centered Design Approach for Interacting with Knowledge-Based Health Decision Support Systems
inferredcites →https://doi.org/10.1145/3491101.3516506openalex-snapshot
Participatory Design of AI Systems: Opportunities and Challenges Across Diverse Users, Relationships, and Application Domains
inferredcites →https://doi.org/10.1145/3505267openalex-snapshot
Supporting people with autism spectrum disorders in the exploration of PoIs
inferredcites →https://doi.org/10.1145/3523227.3551480openalex-snapshot
Recommender Systems and Algorithmic Hate
inferredcites →https://doi.org/10.1145/3531146.3533231openalex-snapshot
Data Cards: Purposeful and Transparent Dataset Documentation for Responsible AI
inferredcites →https://doi.org/10.1145/3533379openalex-snapshot
Fairness in Ranking, Part I: Score-Based Ranking
inferredcites →https://doi.org/10.1145/3537797.3537819openalex-snapshot
Towards a Power-Balanced Participatory Design Process
inferredcites →https://doi.org/10.1145/3544549.3585864openalex-snapshot
Balancing Power Relations in Participatory Design: The Importance of Initiative and External Factors
inferredcites →https://doi.org/10.1145/3547333openalex-snapshot
A Survey on the Fairness of Recommender Systems
inferredcites →https://doi.org/10.1145/3551624.3555285openalex-snapshot
Participation Is not a Design Fix for Machine Learning
inferredcites →https://doi.org/10.1145/3551624.3555290openalex-snapshot
Power to the People? Opportunities and Challenges for Participatory AI
inferredcites →https://doi.org/10.1145/3556536openalex-snapshot
Evaluating Recommender Systems: Survey and Framework
inferredcites →https://doi.org/10.1145/3593013.3594106openalex-snapshot
The Many Faces of Fairness: Exploring the Institutional Logics of Multistakeholder Microlending Recommendation
inferredcites →https://doi.org/10.1145/3593013.3594134openalex-snapshot
Queer In AI: A Case Study in Community-Led Participatory AI
inferredcites →https://doi.org/10.1145/3600211.3604661openalex-snapshot
From Preference Elicitation to Participatory ML: A Critical Survey & Guidelines for Future Research
inferredcites →https://doi.org/10.1145/3613455openalex-snapshot
Distributionally-Informed Recommender System Evaluation
inferredcites →https://doi.org/10.1145/3613904.3642703openalex-snapshot
The Illusion of Artificial Inclusion
inferredcites →https://doi.org/10.1145/3613904.3642775openalex-snapshot
From Fitting Participation to Forging Relationships: The Art of Participatory ML
inferredcites →https://doi.org/10.1145/3617694.3623228openalex-snapshot
Power and Public Participation in AI
inferredcites →https://doi.org/10.1145/3617694.3623261openalex-snapshot
The Participatory Turn in AI Design: Theoretical Foundations and the Current State of Practice
inferredcites →https://doi.org/10.1145/3630106.3659044openalex-snapshot
Recommend Me? Designing Fairness Metrics with Providers
inferredcites →https://doi.org/10.1145/3632297openalex-snapshot
Building Human Values into Recommender Systems: An Interdisciplinary Synthesis
inferredcites →https://doi.org/10.1145/3640457.3688102openalex-snapshot
Putting Popularity Bias Mitigation to the Test: A User-Centric Evaluation in Music Recommenders
inferredcites →https://doi.org/10.1145/3675404openalex-snapshot
Recommender System-Induced Eating Disorder Relapse: Harmful Content and the Challenges of Responsible Recommendation
inferredcites →https://doi.org/10.1163/9789004337862_lgbo_com_150392openalex-snapshot
Oxford University Press
inferredcites →https://doi.org/10.1177/1359183518820366openalex-snapshot
Captivating algorithms: Recommender systems as traps
inferredcites →https://doi.org/10.1287/mnsc.1080.0974openalex-snapshot
Blockbuster Culture's Next Rise or Fall: The Impact of Recommender Systems on Sales Diversity
inferredcites →https://doi.org/10.1561/1500000079openalex-snapshot
Fairness in Information Access Systems
inferredcites →https://doi.org/10.1598/rrq.42.1.1openalex-snapshot
Learning to read and write genre‐specific text: Roles of authentic experience and explicit teaching
inferredcites →https://doi.org/10.1598/rt.62.6.3openalex-snapshot
Making Science Trade Book Choices for Elementary Classrooms
inferredcites →https://doi.org/10.1598/rt.64.4.3openalex-snapshot
Information Book Read‐Alouds as Models for Second‐Grade Authors
inferredcites →https://doi.org/10.1609/aimag.v41i4.5312openalex-snapshot
Escaping the McNamara Fallacy: Toward More Impactful Recommender Systems Research
inferredcites →https://doi.org/10.1609/aimag.v42i3.18142openalex-snapshot
Human‐centered recommender systems: Origins, advances, challenges, and opportunities
inferredcites →https://doi.org/10.1609/icwsm.v14i1.7320openalex-snapshot
Disturbed YouTube for Kids: Characterizing and Detecting Inappropriate Videos Targeting Young Children
inferredcites →https://doi.org/10.2760/012329openalex-snapshot
Directions for the responsible design and use of AI by children and their communities: examples in the field of Education
inferredcites →https://doi.org/10.4230/dagrep.14.5.58openalex-snapshot
Evaluation Perspectives of Recommender Systems: Driving Research and Education (Dagstuhl Seminar 24211)
inferredcites →https://doi.org/10.4324/9780203108543-14openalex-snapshot
Tools and techniques: ways to engage telling, making and enacting
inferredcites →https://doi.org/10.48550/arxiv.2211.12434openalex-snapshot
Expansive Participatory AI: Supporting Dreaming within Inequitable Institutions
inferredcites →https://doi.org/10.48550/arxiv.2405.02050openalex-snapshot
Ah, that's the great puzzle: On the Quest of a Holistic Understanding of the Harms of Recommender Systems on Children
inferredcites →https://doi.org/10.48550/arxiv.2410.11870openalex-snapshot
Post-Userist Recommender Systems : A Manifesto
inferredcites →https://doi.org/10.5555/211288.211293openalex-snapshot
User participation and democracy
inferredcites →https://doi.org/10.58680/rte20086497openalex-snapshot
Beyond Exposure: The Uses of Informational Texts in a Second Grade Classroom
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-032-21321-1_51openalex-snapshot
SciNUP: Natural Language User Interest Profiles for Scientific Literature Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-032-21324-2_28openalex-snapshot
From Engagement to Empowerment: A Capability-Theoretic Rethinking of Recommender Systems
inferred← citeshttps://doi.org/10.1016/j.ijhcs.2026.103904openalex-snapshot
Re-centering the user in recommender system research: Preface to the special issue
inferred← citeshttps://doi.org/10.1038/s43588-026-01038-1openalex-snapshot
Algorithmic systems, human agency and the future of platform research
inferred← citeshttps://doi.org/10.1080/0144929x.2026.2714166openalex-snapshot
Breaking the loop: a human-centred vision for information retrieval systems that serve all users
inferred← citeshttps://doi.org/10.1109/iccvbic71195.2026.11688871openalex-snapshot
Are Apps Designed to Control You? A Computational Audit of Engagement-Maximizing Feeds, a Well-Being-Aware Re-Ranking Countermeasure, and a Problematic-Use Risk Detector
inferred← citeshttps://doi.org/10.1145/3705328.3759301openalex-snapshot
From Previous Plays to Long-Term Tastes
inferred← citeshttps://doi.org/10.1145/3773077.3806115openalex-snapshot
A Seat at The Table: Teen Experiences and Perceptions of Social Media Recommendation Algorithms
inferred← citeshttps://doi.org/10.1145/3773078.3831735openalex-snapshot
Some People Are Worth Recommending For
inferred← citeshttps://doi.org/10.1145/3773078.3831816openalex-snapshot
Comparability for Recommendation Model Evaluation and Selection from a Multi-stakeholder Perspective
inferred← citeshttps://doi.org/10.1145/3773078.3831817openalex-snapshot
Towards the Human-Centered Study of Recommender System Providers
inferred← citeshttps://doi.org/10.1145/3773078.3831941openalex-snapshot
Transparency and Control for Provider-side Recommendation Interfaces
inferred← citeshttps://doi.org/10.1145/3774935.3802532openalex-snapshot
From Modeling and Profiling to Auditing: the Evolving Role of the User in Recommender System Research
inferred← citeshttps://doi.org/10.1145/3774935.3806167openalex-snapshot
It is relevant, but is it useful?
inferred← citeshttps://doi.org/10.1145/3816030openalex-snapshot
Introduction to the Special Issue on Recommender Systems for Good
inferred← citeshttps://doi.org/10.1177/09610006251410240openalex-snapshot
Artificial intelligence in Greek libraries: Perceptions, challenges, and readiness for adoption
inferred← citeshttps://doi.org/10.3389/fcomm.2026.1840975openalex-snapshot
Tension, torn, or truly stuck? Understanding tensions in multi-stakeholder recommender development at legacy media companies through paradox theory
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