Image Clustering without Ground Truth. - Abhisek Dash; Sujoy Chatterjee; Tripti Prasad; Malay Bhattacharyya 001 (CoRR, 2016)

Beyond ROUGE Scores in Algorithmic Summarization: Creating Fairness-Preserving Textual Summaries. - Abhisek Dash; Anurag Shandilya; Arindam Biswas 004; Abhijnan Chakraborty; Kripabandhu Ghosh; Saptarshi Ghosh 001 (CoRR, 2018)

A Network-centric Framework for Auditing Recommendation Systems. - Abhisek Dash; Animesh Mukherjee 001; Saptarshi Ghosh 001 (INFOCOM, 2019)

Summarizing User-generated Textual Content: Motivation and Methods for Fairness in Algorithmic Summaries. - Abhisek Dash; Anurag Shandilya; Arindam Biswas 004; Kripabandhu Ghosh; Saptarshi Ghosh 001; Abhijnan Chakraborty (Proc. ACM Hum. Comput. Interact., 2019)

Fairness for Whom? Understanding the Reader's Perception of Fairness in Text Summarization. - Anurag Shandilya; Abhisek Dash; Abhijnan Chakraborty; Kripabandhu Ghosh; Saptarshi Ghosh 001 (IEEE BigData, 2020)

When the Umpire is also a Player: Bias in Private Label Product Recommendations on E-commerce Marketplaces. - Abhisek Dash; Abhijnan Chakraborty; Saptarshi Ghosh 001; Animesh Mukherjee 001; Krishna P. Gummadi (FAccT, 2021)

Two-Face: Adversarial Audit of Commercial Face Recognition Systems. - Siddharth D. Jaiswal; Karthikeya Duggirala; Abhisek Dash; Animesh Mukherjee 001 (ICWSM, 2022)

Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers. - Abhisek Dash; Abhijnan Chakraborty; Saptarshi Ghosh 001; Animesh Mukherjee 001; Krishna P. Gummadi (WWW, 2022)

Platform Governance: Past, Present and Future. - Mithun Das; Abhisek Dash; Siddharth D. Jaiswal; Binny Mathew; Punyajoy Saha; Animesh Mukherjee 001 (GetMobile Mob. Comput. Commun., 2022)

Mining the online infosphere: A survey. - Sayantan Adak; Souvic Chakraborty; Paramita Das; Mithun Das; Abhisek Dash; Rima Hazra; Binny Mathew; Punyajoy Saha; Soumya Sarkar; Animesh Mukherjee 001 (WIREs Data Mining Knowl. Discov., 2022)

FaiRIR: Mitigating Exposure Bias From Related Item Recommendations in Two-Sided Platforms. - Abhisek Dash; Abhijnan Chakraborty; Saptarshi Ghosh 001; Animesh Mukherjee 001; Krishna P. Gummadi (IEEE Trans. Comput. Soc. Syst., 2023)

Sponsored is the New Organic: Implications of Sponsored Results on Quality of Search Results in the Amazon Marketplace. - Abhisek Dash; Saptarshi Ghosh 001; Animesh Mukherjee 001; Abhijnan Chakraborty; Krishna P. Gummadi (AIES (1), 2024)

Breaking the Global North Stereotype: A Global South-centric Benchmark Dataset for Auditing and Mitigating Biases in Facial Recognition Systems. - Siddharth D. Jaiswal; Animesh Ganai; Abhisek Dash; Saptarshi Ghosh 001; Animesh Mukherjee 001 (AIES (1), 2024)

Coupling GDPR Data Donation and Crowdsourced User Survey: A Case Study on TikTok Addiction. - Cai Yang; Sepehr Mousavi; Abhisek Dash; Krishna P. Gummadi; Ingmar Weber (WebSci (Companion), 2024)

Antitrust, Amazon, and Algorithmic Auditing. - Abhisek Dash; Abhijnan Chakraborty; Saptarshi Ghosh 001; Animesh Mukherjee 001; Jens Frankenreiter; Stefan Bechtold; Krishna P. Gummadi (CoRR, 2024)

Auditing the Grid-Based Placement of Private Label Products on E-commerce Search Result Pages. - Siddharth D. Jaiswal; Abhisek Dash; Nitika Shroff; Yashwanth Babu Vunnam; Saptarshi Ghosh 001; Animesh Mukherjee 001 (CoRR, 2024)

Investigating Nudges toward Related Sellers on E-commerce Marketplaces: A Case Study on Amazon. - Abhisek Dash; Abhijnan Chakraborty; Saptarshi Ghosh 001; Animesh Mukherjee 001; Krishna P. Gummadi (Proc. ACM Hum. Comput. Interact., 2024)

Studying Behavioral Addiction by Combining Surveys and Digital Traces: A Case Study of TikTok. - Cai Yang; Sepehr Mousavi; Abhisek Dash; Krishna P. Gummadi; Ingmar Weber (ICWSM, 2025)

Setting the Course, but Forgetting to Steer: Analyzing Compliance with GDPR's Right of Access to Data by Instagram, TikTok, and YouTube. - Sai Keerthana Karnam; Abhisek Dash; Sepehr Mousavi; Stefan Bechtold; Krishna P. Gummadi; Animesh Mukherjee 001; Ingmar Weber; Savvas Zannettou (CoRR, 2025)