Sai Keerthana Karnam, Abhisek Dash, Sepehr Mousavi, Stefan Bechtold, Krishna P. Gummadi, Animesh Mukherjee, Ingmar Weber, Savvas Zannettou, Setting the Course, but Forgetting to Steer: Analyzing Compliance with GDPR's Right of Access to Data by Instagram, TikTok, and YouTube, Arxiv pre-print. [pdf ]
Cai Yang, Sepehr Mousavi, Abhisek Dash, Krishna P. Gummadi, Ingmar Weber, Studying Behavioral Addiction by Combining Surveys and Digital Traces: A Case Study of TikTok, To appear in International Conference On Web and Social Media (ICWSM), Copenhagen, Denmark, June 2025. [pdf ]
Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukhrjee, Krishna P. Gummadi, Investigating Nudges toward Related Sellers on E-commerce Marketplaces: A Case Study on Amazon, Proceedings of the ACM on Human-Computer Interaction (to be presented at CSCW, San Jose, Costa Rica , 2024). [pdf ]
Abhisek Dash, Saptarshi Ghosh, Animesh Mukherjee, Abhijnan Chakraborty, Krishna P. Gummadi, Sponsored is the New Organic: Implications of Sponsored Results on Quality of Search Results in the Amazon Marketplace, Proceedings of the AAAI / ACM Conference on Artificial Intelligence, Ethics and Society, San Jose, CA, October 2024. [pdf ]
Siddharth D Jaiswal, Animesh Ganai, Abhisek Dash, Saptarshi Ghosh, Animesh Mukherjee, Breaking the Global North Stereotype: A Global South-centric Benchmark Dataset for Auditing and Mitigating Biases in Facial Recognition Systems, Proceedings of the AAAI / ACM Conference on Artificial Intelligence, Ethics and Society, San Jose, CA, October 2024. [pdf ]
Cai Yang, Sepehr Mousavi, Abhisek Dash, Krishna P Gummadi, Ingmar Weber, Coupling GDPR Data Donation and Crowdsourced User Survey: A Case Study on TikTok Addiction, Linking Surveys and Social Media Data: Advancing Public Opinion Research (LASER) Workshop at ACM WebSCi, May, 2024. [pdf]
Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukhrjee, Jens Frankenreiter, Stefan Bechtold and Krishna P. Gummadi, Antitrust, Amazon, and Algorithmic Auditing, Journal of Institutional and Theoretical Economics (JITE) 2024. [pdf ]
Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukhrjee, Krishna P. Gummadi, FaiRIR: Mitigating Exposure Bias from Related Item Recommendations in Two-Sided Platforms, IEEE Transactions on Computational Social Systems 2022 (IEEE TCSS). [pdf]
Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukhrjee, Krishna P. Gummadi, Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers, The Web Conference (formerly WWW), Lyon, France, April, 2022. [pdf]
Siddharth D. Jaiswal, Karthikeya Duggirala, Abhisek Dash, Animesh Mukherjee, Two-Face: Adversarial Audit of Commercial Face Recognition Systems, 16th International Conference On Web and Social Media (ICWSM), Atlanta, Georgia and online, June, 2022. [pdf]
Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee and Krishna P. Gummadi, When the Umpire is also a Player: Bias in Private Label Product Recommendations on E-commerce Marketplaces, ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT), March, 2021. [pdf]
Anurag Shandilya, Abhisek Dash, Abhijnan Chakraborty, Kripabandhu Ghosh and Saptarshi Ghosh, Fairness for Whom? Understanding the Reader’s Perception of Fairness in Text Summarization, International Workshop on Fair and Interpretable Learning Algorithms (FILA 2020), In conjunction with IEEE BigData, December, 2020. [pdf]
Abhisek Dash, Anurag Shandilya, Arindam Biswas, Kripabandhu Ghosh, Saptarshi Ghosh, and Abhijnan Chakraborty, Summarizing User-generated Textual Content: Motivation and Methods for Fairness in Algorithmic Summaries, Proceedings of the ACM on Human-Computer Interaction, ACM, vol. 3, No. CSCW, Article 172, November 2019. [pdf]
Abhisek Dash, Animesh Mukherjee, Saptarshi Ghosh, A Network-centric Framework for Auditing Recommendation Systems, In proceedings of IEEE International Conference on Computer Communications (IEEE INFOCOM), Paris, France, April 29, 2019. [pdf] [Best in-session presentation award INFOCOM 2019]
Abhisek Dash, Can We Escape the "Originals"?, Young Researchers' Symposium, ACM India Joint International Conference on Data Science and Management of Data (CoDS-COMAD) , Kolkata, India, January 03, 2019.