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Having your Privacy Cake and Eating it Too: Platform-supported Auditing of Social Media Algorithms for Public Interest
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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The Volkswagen emissions scandal and its aftermath
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Calibrating Noise to Sensitivity in Private Data Analysis
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Algorithmic amplification of politics on Twitter
inferredcites →https://doi.org/10.1080/01621459.1963.10500830openalex-snapshot
Probability Inequalities for Sums of Bounded Random Variables
inferredcites →https://doi.org/10.1109/asonam.2018.8508659openalex-snapshot
Biases in the Facebook News Feed: A Case Study on the Italian Elections
inferredcites →https://doi.org/10.1109/sp.2011.40openalex-snapshot
"You Might Also Like:" Privacy Risks of Collaborative Filtering
inferredcites →https://doi.org/10.1109/wacv51458.2022.00158openalex-snapshot
Auditing saliency cropping algorithms
inferredcites →https://doi.org/10.1111/ijsa.12067openalex-snapshot
Social Networking Web Sites in Job Search and Employee Recruitment
inferredcites →https://doi.org/10.1126/science.abl8537openalex-snapshot
EU and US legislation seek to open up digital platform data
inferredcites →https://doi.org/10.1145/3194770.3194776openalex-snapshot
Fairness definitions explained
inferredcites →https://doi.org/10.1145/3290605.3300724openalex-snapshot
User Attitudes towards Algorithmic Opacity and Transparency in Online Reviewing Platforms
inferredcites →https://doi.org/10.1145/3290605.3300830openalex-snapshot
Improving Fairness in Machine Learning Systems
inferredcites →https://doi.org/10.1145/3351095.3372879openalex-snapshot
Auditing radicalization pathways on YouTube
inferredcites →https://doi.org/10.1145/3442188.3445888openalex-snapshot
What We Can't Measure, We Can't Understand
inferredcites →https://doi.org/10.1145/3442188.3445928openalex-snapshot
Building and Auditing Fair Algorithms
inferredcites →https://doi.org/10.1145/3442381.3450077openalex-snapshot
Auditing for Discrimination in Algorithms Delivering Job Ads
inferredcites →https://doi.org/10.1145/3447535.3462491openalex-snapshot
Auditing Algorithmic Bias on Twitter
inferredcites →https://doi.org/10.1145/3461702.3462554openalex-snapshot
Fairness in the Eyes of the Data: Certifying Machine-Learning Models
inferredcites →https://doi.org/10.1145/3479577openalex-snapshot
Everyday Algorithm Auditing: Understanding the Power of Everyday Users in Surfacing Harmful Algorithmic Behaviors
inferredcites →https://doi.org/10.1145/3479594openalex-snapshot
Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency
inferredcites →https://doi.org/10.1145/3491102.3517441openalex-snapshot
Toward User-Driven Algorithm Auditing: Investigating users’ strategies for uncovering harmful algorithmic behavior
inferredcites →https://doi.org/10.1177/2053951717743530openalex-snapshot
Fairer machine learning in the real world: Mitigating discrimination without collecting sensitive data
inferredcites →https://doi.org/10.1287/mnsc.2018.3093openalex-snapshot
Algorithmic Bias? An Empirical Study of Apparent Gender-Based Discrimination in the Display of STEM Career Ads
inferredcites →https://doi.org/10.1515/popets-2015-0007openalex-snapshot
Automated Experiments on Ad Privacy Settings
inferredcites →https://doi.org/10.1561/1100000083openalex-snapshot
Auditing Algorithms: Understanding Algorithmic Systems from the Outside In
inferredcites →https://doi.org/10.1609/aaai.v36i6.20606openalex-snapshot
Online Certification of Preference-Based Fairness for Personalized Recommender Systems
inferredcites →https://doi.org/10.1609/icwsm.v14i1.7276openalex-snapshot
Auditing Race and Gender Discrimination in Online Housing Markets
inferredcites →https://doi.org/10.2478/popets-2020-0004openalex-snapshot
The Privacy Policy Landscape After the GDPR
inferredcites →https://doi.org/10.48550/arxiv.2006.03983openalex-snapshot
Advertising for Demographically Fair Outcomes
inferredcites →https://doi.org/10.48550/arxiv.2203.10666openalex-snapshot
YouTube, The Great Radicalizer? Auditing and Mitigating Ideological Biases in YouTube Recommendations
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A Proposal for Researcher Access to Platform Data: The Platform Transparency and Accountability Act
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Artificial intelligence and algorithmic bias? Field tests on social network with teens
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Exploring the Impact of Media Awareness on Privacy Concerns Among Social Media Users: A Case Study of TikTok
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Situating Harms in the AI Governance Landscape
inferred← citeshttps://doi.org/10.1108/ils-12-2023-0201openalex-snapshot
Children’s sensemaking of algorithms and data flows across YouTube and social media
inferred← citeshttps://doi.org/10.1111/coin.70113openalex-snapshot
Taming the Triangle: On the Interplays Between Fairness, Interpretability, and Privacy in Machine Learning
inferred← citeshttps://doi.org/10.1111/nyas.15345openalex-snapshot
Social media harm abatement: Mechanisms for transparent public health assessment
inferred← citeshttps://doi.org/10.1145/3593013.3594115openalex-snapshot
Discrimination through Image Selection by Job Advertisers on Facebook
inferred← citeshttps://doi.org/10.1145/3630106.3658970openalex-snapshot
Law and the Emerging Political Economy of Algorithmic Audits
inferred← citeshttps://doi.org/10.1145/3630106.3659041openalex-snapshot
Auditing for Racial Discrimination in the Delivery of Education Ads
inferred← citeshttps://doi.org/10.1145/3686963openalex-snapshot
"Something Fast and Cheap" or "A Core Element of Building Trust"? - AI Auditing Professionals' Perspectives on Trust in AI
inferred← citeshttps://doi.org/10.1145/3706598.3713963openalex-snapshot
Access Denied: Meaningful Data Access for Quantitative Algorithm Audits
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External Evaluation of Discrimination Mitigation Efforts in Meta's Ad Delivery
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'I Know You Are Discriminatory!': Automated Substantiating for Individual Fairness Auditing of AI Systems
inferred← citeshttps://doi.org/10.1177/01968599241292623openalex-snapshot
Online Public Sphere and Threats of Disinformation, Extremism and Hate Speech: Reflections on Threat-Mitigation
inferred← citeshttps://doi.org/10.31219/osf.io/xvqz7openalex-snapshot
Law and the Emerging Political Economy of Algorithmic Audits
inferred← citeshttps://doi.org/10.54097/8y3u8ddjopenalex-snapshot
Algorithmic Intrusion: The Erosion of Personal Privacy in Digital Age
inferred← citeshttps://doi.org/10.64628/aai.uy9mm7ed4openalex-snapshot
Meta shift from fact-checking to crowdsourcing spotlights competing approaches in fight against misinformation and hate speech
inferred← citeshttps://doi.org/10.70315/uloap.ulete.2025.0203019openalex-snapshot
AI-Powered CRM Systems and the Ethics of Data Use: Personalization Vs. Privacy
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