• R. Li, S. Kingsley, C. Fan, P. Sinha, N. Wai, J. Lee, H. Shen, M. Eslami, J. Hong. "Participation and Division of Labor in User-Driven Algorithm Audits: How Do Everyday Users Work Together to Surface Algorithmic Harms?", ACM Conference on Human Factors in Computing Systems (CHI), 2023.

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• J. Solyst, S. Xie, E. Yang, A. Stewart, M. Eslami, J. Hammer, A. Ogan.  "I Would Like to Design'': Black Girls Analyzing and Ideating Fair and Accountable AI.  ACM Conference on Human Factors in Computing Systems (CHI), 2023.

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• W. Deng, B. Guo, A. DeVrio, H. Shen, M. Eslami *, K. Holstein*, Understanding Practices, Challenges, and Opportunities for User-Engaged Algorithm Auditing in Industry Practice, *: equal contribution), ACM Conference on Human Factors in Computing Systems (CHI), 2023.

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• A. London, Y. Razin, J. Borenstein, M. Eslami , R. Perkins, and P. Robinette "Ethical Issues in Near-Future Socially Supportive Smart Assistants for Older Adults", IEEE Transactions on Technology and Society, 2023. 

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• S. Singlaa, M. Eslami, B. Pollackc, S. Wallaced, K. Batmanghelich, "Explaining the Black-box Smoothly - A Counterfactual Approach'", Medical Image Analysis, Elsevier Journal, 2023.

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• S. Kingsley, P. Sinha, C. Wang, M. Eslami, and J. Hong; “Give everybody [..] a little bit more equity”: Content Creator Perspectives and Responses to Algorithmic Demonetization of Content Associated with Marginalized Communities, Proceedings of ACM in Human Computer Interaction (CSCW), 2022. 

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• A. DeVos, A. Dhabalia, H. Shen, K. Holstein+, and M. Eslami+. Toward User-Driven Algorithm Auditing: Investigating Users’ Strategies for Uncovering Harmful Algorithmic Behavior. Conditionally accepted, CHI 2022. (+: equal contribution) [pdf]

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• J. Park, K. Karahalios, N. Salehi, and M. Eslami. Power Dynamics and Value Conflicts in Designing and Maintaining Socio-Technical Algorithmic Processes, Proceedings of ACM in Human Computer Interaction (CSCW), 2022. [pdf] 

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• J. Solyst,, A. Axon, A.E.B. Stewart, A.E.B., M. Eslami, and A. Ogan. Investigating Girls’ Perspectives and Knowledge Gaps on Ethics and Fairness in Artificial Intelligence in a Lightweight Workshop. The International Conference of the Learning Sciences 2022 (ICLS).

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• H. Shen∗ and A. DeVos∗, M. Eslami+ and K. Holstein+. Everyday Algorithm Auditing: Understanding the Power of Everyday Users in Surfacing Harmful Algorithmic Behaviors. Proceedings of ACM in Human Computer Interaction (CSCW), 2021. [pdf]

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• N. Karizat, D. Delmonaco, M. Eslami, N. Andalibi. Algorithmic Folk Theories and Identity: How TikTok Users Engage in Algorithmic Resistance and Identity Co-Production. Proceedings of ACM in Human Computer Interaction (CSCW), 2021.[pdf] ⭐ Honorable Mention Award for Best Paper

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• J. Asplund, M. Eslami, H. Sundaram, C. Sandvig, K. Karahalios. Auditing Race and Gender Discrimination in Online Housing Markets. Proceedings of the Fourteenth International AAAI Conference on Web and Social Media (ICWSM), 2020. [pdf]

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• J. Salminen, J. M. Santos, S. Jung, M. Eslami, and B. J. Jansen. Persona Transparency: Analyzing theImpact of Explanations on Perceptions of Data-Driven Personas, Internationl Journal of Human-ComputerInteraction, 2019.[pdf]

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• M. Eslami, K. Vaccaro, M. K. Lee, A. Elazari, E. Gilbert, and K. Karahalios. User Attitudes towards Algorithmic Opacity and Transparency in Online Reviewing Platforms. Human Factors in Computing Systems Conference (CHI), 2019.[pdf]

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• J. Kulshrestha, M. Eslami, J. Messias, M. B. Zafar, S. Ghosh, K. P. Gummadi, and K Karahalios.Search bias quantification: investigating political bias in social media and web search. Information Retrieval Journal, 1-40, 2018.[pdf]

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• M. Eslami, S. R. Krishna Kumaran, C. Sandvig, K. Karahalios. Communicating Algorithmic Process in Online Behavioral Advertising. Human Factors in Computing Systems Conference (CHI), 2018.[pdf]

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• K. Vaccaro, D. Huang, M. Eslami, C. Sandvig, K. Hamilton, and K. Karahalios. The Illusion of Control: Placebo Effects of Control Settings. Human Factors in Computing Systems Conference (CHI), 2018.[pdf]

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• M. Eslami, K. Vaccaro, K. Karahalios, and K. Hamilton. "Be careful; things can be worse than they appear": Understanding Biased Algorithms and Users' Behavior around Them in Rating Platforms. The International AAAI Conference on Web and Social Media (ICWSM), 2017.[pdf]

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• J. Kulshrestha, M. Eslami, J. Messias, M. B. Zafar, S. Ghosh, K. Gummadi, and K. Karahalios. Quantifying Search Bias: Investigating Sources of Bias for Political Searches in Social Media. Computer- Supported Cooperative Work and Social Computing (CSCW), 2017.[pdf]

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• M. Eslami, K. Karahalios, C. Sandvig, K. Vaccaro, A. Rickman, K. Hamilton, and A. Kirlik. First I "like" it, then I hide it: Folk Theories of Social Feeds. Human Factors in Computing Systems Conference (CHI), 2016.[pdf]

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• M. Eslami, A. Rickman, K. Vaccaro, A. Aleyasen, A. Vuong, K. Karahalios, K. Hamilton, and C. Sandvig. 'I always assumed that I wasn't really that close to [her]': Reasoning about invisible algorithms in the news feed. Human Factors in Computing Systems Conference (CHI), 2015.[pdf]  ⭐ Best Paper Award

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• M. Eslami, A. Aleyasen, R. Zilouchian Moghadam and K. Karahalios. Friend Grouping Algorithms for Online Social Networks: preference, bias, and implications. The 6th International Conference on Social Informatics (SocInfo), 2014. [pdf]

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• K. Hamilton, K. Karahalios, C. Sandvig, and M. Eslami. A Path to Understanding the Effects of Algorithm Awareness. alt.CHI 2014. [pdf]

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• ​E. S. Hosseini, V. Esmaeelzadeh, and M. Eslami, A Hierarchical Sub-Chromosome Genetic Algorithm (HSC-GA) to Optimize Power Consumption and Data Communications Reliability in Wireless Sensor Networks, Wireless Personal Communications (Springer), vol. 80, no. 4, pp. 1579-1605, Oct. 2014.

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• M. Eslami, H. R. Rabiee, and M. Salehi. Sampling from Diffusion Networks. ASE/ IEEE International Conference on Social Informatics, 2012. [pdf]

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• P. Siyari, H. R. Rabiee, M. Salehi, and M. Eslami. Network Reconstruction under Compressive Sensing. ASE Human Journal, vol.1, issue 3, pp. 130-143, 2012. [pdf]

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• P. Siyari, H. R. Rabiee, M. Salehi and M. Eslami. Network Reconstruction under Compressive Sensing. ASE/ IEEE International Conference on Social Informatics, 2012. [pdf]

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• M. Eslami, H. R. Rabiee, and M. Salehi. Diffusion-Aware Sampling and Estimation in Information Diffusion Networks. The Fourth IEEE International Conference on Social Computing, 2012. [pdf]

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• M. Eslami, H. R. Rabiee, and M. Salehi. DNE: A Method for Extracting Cascaded Diffusion Networks from Social Networks. The Third IEEE International Conference on Social Computing, 2011. [pdf]