| When the umpire is also a player: Bias in private label product recommendations on e-commerce marketplaces A Dash, A Chakraborty, S Ghosh, A Mukherjee, KP Gummadi Proceedings of the 2021 ACM Conference on Fairness, Accountability, and …, 2021 | 43 | 2021 |
| Summarizing user-generated textual content: Motivation and methods for fairness in algorithmic summaries A Dash, A Shandilya, A Biswas, K Ghosh, S Ghosh, A Chakraborty Proceedings of the ACM on Human-Computer Interaction 3 (CSCW), 1-28, 2019 | 41 | 2019 |
| A network-centric framework for auditing recommendation systems A Dash, A Mukherjee, S Ghosh IEEE INFOCOM 2019-IEEE conference on computer communications, 1990-1998, 2019 | 18 | 2019 |
| Two-face: Adversarial audit of commercial face recognition systems S Jaiswal, K Duggirala, A Dash, A Mukherjee Proceedings of the International AAAI Conference on Web and Social Media 16 …, 2022 | 9 | 2022 |
| Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers A Dash, A Chakraborty, S Ghosh, A Mukherjee, KP Gummadi Proceedings of the ACM Web Conference 2022, 3695-3705, 2022 | 7 | 2022 |
| Image clustering without ground truth A Dash, S Chatterjee, T Prasad, M Bhattacharyya arXiv preprint arXiv:1610.07758, 2016 | 7 | 2016 |
| Mining the online infosphere: A survey S Adak, S Chakraborty, P Das, M Das, A Dash, R Hazra, B Mathew, ... Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 12 (5 …, 2022 | 4 | 2022 |
| FaiRIR: Mitigating exposure bias from related item recommendations in two-sided platforms A Dash, A Chakraborty, S Ghosh, A Mukherjee, KP Gummadi IEEE Transactions on Computational Social Systems 10 (3), 1301-1313, 2022 | 4 | 2022 |
| Antitrust, Amazon, and algorithmic auditing A Dash, A Chakraborty, S Ghosh, A Mukherjee, J Frankenreiter, ... arXiv preprint arXiv:2403.18623, 2024 | 2 | 2024 |
| Platform governance: Past, present and future M Das, A Dash, S Jaiswal, B Mathew, P Saha, A Mukerjee GetMobile: Mobile Computing and Communications 26 (1), 14-20, 2022 | 2 | 2022 |
| Fairness for whom? Understanding the reader’s perception of fairness in text summarization A Shandilya, A Dash, A Chakraborty, K Ghosh, S Ghosh 2020 IEEE International Conference on Big Data (Big Data), 3692-3701, 2020 | 2 | 2020 |
| Breaking the Global North Stereotype: A Global South-centric Benchmark Dataset for Auditing and Mitigating Biases in Facial Recognition Systems SD Jaiswal, A Ganai, A Dash, S Ghosh, A Mukherjee arXiv preprint arXiv:2407.15810, 2024 | | 2024 |
| Auditing the Grid-Based Placement of Private Label Products on E-commerce Search Result Pages SD Jaiswal, A Dash, N Shroff, YB Vunnam, S Ghosh, A Mukherjee arXiv preprint arXiv:2407.14650, 2024 | | 2024 |
| Investigating Nudges toward Related Sellers on E-commerce Marketplaces: A Case Study on Amazon A Dash, A Chakraborty, S Ghosh, A Mukherjee, KP Gummadi arXiv preprint arXiv:2407.01732, 2024 | | 2024 |
| Coupling GDPR Data Donation and Crowdsourced User Survey: A Case Study on TikTok Addiction C Yang, S Mousavi, A Dash, KP Gummadi, I Weber Companion Publication of the 16th ACM Web Science Conference, 51-52, 2024 | | 2024 |
| Bias and Fairness in Information Retrieval Algorithms on E-commerce Platforms A Dash IIT Kharagpur, 2023 | | 2023 |
| Supplemental Information for Summarizing User-generated Textual Content: Motivation and Methods for Fairness in Algorithmic Summaries Proceedings of ACM CSCW 2019 A Dash, A Shandhilya, A Biswas, K Ghosh, S Ghosh, A Chakraborty | | |
