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User Attitudes towards Algorithmic Opacity and Transparency in Online Reviewing Platforms., , , , , and . CHI, page 494. ACM, (2019)Search bias quantification: investigating political bias in social media and web search., , , , , , and . Inf. Retr. J., 22 (1-2): 188-227 (2019)First I "like" it, then I hide it: Folk Theories of Social Feeds., , , , , , and . CHI, page 2371-2382. ACM, (2016)Investigating Girls' Perspectives and Knowledge Gaps on Ethics and Fairness in Artificial Intelligence in a Lightweight Workshop., , , , and . CoRR, (2023)Everyday algorithm auditing: Understanding the power of everyday users in surfacing harmful algorithmic behaviors., , , and . CoRR, (2021)Understanding Practices, Challenges, and Opportunities for User-Engaged Algorithm Auditing in Industry Practice., , , , , and . CHI, page 377:1-377:18. ACM, (2023)Evaluation of automated friend grouping in online social networks., , , and . CHI Extended Abstracts, page 2119-2124. ACM, (2014)Investigating Practices and Opportunities for Cross-functional Collaboration around AI Fairness in Industry Practice., , , , , and . FAccT, page 705-716. ACM, (2023)"Be Careful; Things Can Be Worse than They Appear": Understanding Biased Algorithms and Users' Behavior Around Them in Rating Platforms., , , and . ICWSM, page 62-71. AAAI Press, (2017)Towards Änytime, Anywhere" Community Learning and Engagement around the Design of Public Sector AI., , and . CoRR, (2023)