Publications
- 2024
Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukhrjee, Stefan Bechtold, 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, 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).
- 2022
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]
Mithun Das, Abhisek Dash, Siddharth D. Jaiswal, Binny Mathew, Punyajoy Saha, Animesh Mukherjee, Platform Governance: Past, Present and Future, ACM GetMobile: Mobile Computing and Communications, Volume 26, Issue 1, March 2022. [Link]
Sayantan Adak, Souvic Chakraborty, Paramita Das, Mithun Das, Abhisek Dash, Rima Hazra, Binny Mathew, Punyajoy Saha, Soumya Sarkar, Animesh Mukherjee, Mining the online infosphere: A survey, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, February, 2022. [Link][pdf]
- 2021
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]
- 2020
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]
- 2019
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.
- 2016
Abhisek Dash, Sujoy Chatterjee, Tripti Prasad and Malay Bhattacharyya, Image Clustering without Ground Truth, In Proceedings of AAAI HCOMP Workshop on Human Computation for Image and Video Analysis (HCOMP GroupSight), Austin, USA, November 03, 2016, (arXiv ID: 1610.07758). [pdf]