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Abhisek Dash
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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
512019
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
472021
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
182019
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
122022
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
92022
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
82022
Image clustering without ground truth
A Dash, S Chatterjee, T Prasad, M Bhattacharyya
arXiv preprint arXiv:1610.07758, 2016
72016
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
52022
Antitrust, Amazon, and algorithmic auditing
A Dash, A Chakraborty, S Ghosh, A Mukherjee, J Frankenreiter, ...
arXiv preprint arXiv:2403.18623, 2024
42024
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
32022
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
22020
Investigating Nudges toward Related Sellers on E-commerce Marketplaces: A Case Study on Amazon
A Dash, A Chakraborty, S Ghosh, A Mukherjee, KP Gummadi
Proceedings of the ACM on Human-Computer Interaction 8 (CSCW2), 1-31, 2024
2024
Sponsored is the New Organic: Implications of Sponsored Results on Quality of Search Results in the Amazon Marketplace
A Dash, S Ghosh, A Mukherjee, A Chakraborty, KP Gummadi
Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society 7, 316-327, 2024
2024
Breaking the Global North Stereotype: A Global South-centric Benchmark Dataset for Auditing and Mitigating Biases in Facial Recognition Systems
S Jaiswal, A Ganai, A Dash, S Ghosh, A Mukherjee
Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society 7, 634-646, 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
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
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