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Abhisek Dash

FaiRIR: Mitigating Exposure Bias From Related Item Recommendations in Two-Sided Platforms
2022 · Abhisek Dash, Abhijnan Chakraborty, et al. · IEEE Transactions on Computational Social Systems · 36
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Summarizing User-generated Textual Content: Motivation and Methods for Fairness in Algorithmic Summaries
2019 · Abhisek Dash, Anurag Shandilya, et al. · Proceedings of the ACM on Human-Computer Interaction · 34
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When the Umpire is also a Player
2021 · Abhisek Dash, Abhijnan Chakraborty, et al. · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · 32
A Network-centric Framework for Auditing Recommendation Systems
2019 · Abhisek Dash, Animesh Mukherjee, et al. · IEEE Conference on Computer Communications (INFOCOM) · 16
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Studying Behavioral Addiction by Combining Surveys and Digital Traces: A Case Study of TikTok
2025 · Cai Yang, Sepehr Mousavi, et al. · Proceedings of the International AAAI Conference on Web and Social Media · 9
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Two-Face: Adversarial Audit of Commercial Face Recognition Systems
2022 · Siddharth Jaiswal, Karthikeya Duggirala, et al. · Proceedings of the International AAAI Conference on Web and Social Media · 7
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Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers
2022 · Abhisek Dash, Abhijnan Chakraborty, et al. · International World Wide Web Conference (WWW) · 7
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Fairness for Whom? Understanding the Reader’s Perception of Fairness in Text Summarization
2020 · Anurag Shandilya, Abhisek Dash, et al. · IEEE International Conference on Big Data (BigData) · 6
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When the Umpire is also a Player: Bias in Private Label Product Recommendations on E-commerce Marketplaces
2021 · Dash, Abhisek, Chakraborty, Abhijnan, et al. · arXiv (Cornell University) · 5
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Image Clustering without Ground Truth
2016 · Dash, Abhisek, Chatterjee, Sujoy, et al. · arXiv (Cornell University) · 5
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Investigating Nudges toward Related Sellers on E-commerce Marketplaces: A Case Study on Amazon
2024 · Abhisek Dash, Abhijnan Chakraborty, et al. · Proceedings of the ACM on Human-Computer Interaction · 4
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Platform Governance
2022 · Mithun Das, Abhisek Dash, et al. · GetMobile Mobile Computing and Communications · 4
Breaking the Global North Stereotype: A Global South-centric Benchmark Dataset for Auditing and Mitigating Biases in Facial Recognition Systems
2024 · Siddharth Jaiswal, Animesh Ganai, et al. · Proceedings of the AAAI/ACM Conference on AI Ethics and Society · 3
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Coupling GDPR Data Donation and Crowdsourced User Survey: A Case Study on TikTok Addiction
2024 · Cai Yang, Sepehr Mousavi, et al. · ACM Web Science Conference (WebSci) · 3
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Mining the online infosphere: A survey
2022 · Sayantan Adak, Souvic Chakraborty, et al. · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery · 2
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Web Usage Mining: An Implementation
2010 · Abhisek Dash, Lars George · 2
Setting the Course, but Forgetting to Steer: Analyzing Compliance with GDPR's Right of Access to Data by Instagram, TikTok, and Youtube
2026 · Sai Keerthana Karnam, Abhisek Dash, et al. · IEEE Symposium on Security and Privacy (S&P) · 1
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Sponsored is the New Organic: Implications of Sponsored Results on Quality of Search Results in the Amazon Marketplace
2024 · Abhisek Dash, Saptarshi Ghosh, et al. · Proceedings of the AAAI/ACM Conference on AI Ethics and Society · 1
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Antitrust, Amazon, and Algorithmic Auditing
2024 · Abhisek Dash, Stefan Bechtold, et al. · Journal of Institutional and Theoretical Economics JITE · 1
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Beyond ROUGE Scores in Algorithmic Summarization: Creating Fairness-Preserving Textual Summaries.
2018 · Abhisek Dash, Anurag Shandilya, et al. · arXiv (Cornell University) · 1
Characterizing Web Search by Conversational LLM Agents: From Search Decisions and Strategies to Results and Responses
2026 · Amani, Mahsa, Lee, Seungeon, et al. · arXiv (Cornell University)
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Characterizing Bluesky Content Moderation Service: From Automation of Service to Landscape of Harms
2026 · Singh, Pushpdeep, Jarollahi, Sayeh, et al. · arXiv (Cornell University)
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Can Foundation Models Moderate Online Content? Evaluating Instruction- vs. Example-Driven Policy Operationalization
2026 · Majumdar, Ayan, Paul, Shounak, et al. · arXiv (Cornell University)
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On Exercising Governance Power in Decentralized Autonomous Organizations
2026 · Pahari, Vabuk, Chandrasekaran, Balakrishnan, et al. · arXiv (Cornell University)
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On the Centralization of Governance Power in Decentralized Autonomous Organizations
2026 · Vabuk Pahari, Balakrishnan Chandrasekaran, et al. · IEEE International Conference on Blockchain and Cryptocurrency (ICBC)
Works count: 41
Citation count: 179
H-index: 7
I10-index: 4
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