Publications of Dr. Abhijnan Chakraborty | Assistant Professor at IIT Kharagpur

[B1] Ethics in Artificial Intelligence: Bias, Fairness and Beyond.

Animesh Mukherjee, Juhi Kulshrestha, Abhijnan Chakraborty and Srijan Kumar (Eds.).
Springer Singapore, ISBN: 978-981-99-7183-1. January 2024.

[J11/C40] Investigating Nudges toward Related Sellers on E-commerce Marketplaces: A Case Study on Amazon.

Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee and Krishna P. Gummadi.
In Proceedings of the ACM on Human-Computer Interaction (PACM-HCI), Volume 8, Issue CSCW2, November 2024.
Presented at 27th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW), San Jose, Costa Rica, November 2024.

[C39] Sponsored is the New Organic: Implications of Sponsored Results on Quality of Search Results in the Amazon Marketplace.

Abhisek Dash, Saptarshi Ghosh, Animesh Mukherjee, Abhijnan Chakraborty and Krishna P. Gummadi.
In 7th AAAI/ACM Conference on AI, Ethics, and Society (AIES), San Jose, California, USA, October 2024.

[C38] Weaponizing the Wall: The Role of Sponsored News in Spreading Propaganda on Facebook.

Daman Deep Singh, Gaurav Chauhan, Minh-Kha Nguyen, Oana Goga and Abhijnan Chakraborty.
In 16th International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Calabria, Italy, September 2024.

[J10] Antitrust, Amazon, and Algorithmic Auditing.

Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Jens Frankenreiter, Stefan Bechtold and Krishna P. Gummadi.
In Journal of Institutional and Theoretical Economics, 2024.

[C37] #LetsTalk: Understanding Social Media Usage of Self-Harm Users in India.

Garima Chhikara and Abhijnan Chakraborty.
In 18th International AAAI Conference on Web and Social Media (ICWSM), Buffalo, New York, USA, June 2024.

[C36] What News Do People Get on Social Media? Analyzing Exposure and Consumption of News through Data Donations.

Salim Chouaki, Abhijnan Chakraborty, Oana Goga and Savvas Zannettou.
In 33rd ACM Web Conference (WWW), Singapore, May 2024.

[C35] Towards Fairness in Online Service with k Servers and its Application on Fair Food Delivery.

Daman Deep Singh, Amit Kumar and Abhijnan Chakraborty.
In 38th AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, February 2024.

[C34] Fairness for both Readers and Authors: Evaluating Summaries of User Generated Content.

Garima Chhikara, Kripabandhu Ghosh, Saptarshi Ghosh and Abhijnan Chakraborty.
In 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Taipei, Taiwan, July 2023.

[W9] These Deals Won't Last! Longevity, Uniformity, and Bias in Product Badge Assignment in eCommerce Platforms.

Archit Bansal, Kunal Banerjee and Abhijnan Chakraborty.
In The 2023 SIGIR Workshop on eCommerce co-located with ACM SIGIR Conference, Taipei, Taiwan, July 2023.

[C33] FairAssign: Stochastically Fair Driver Assignment in Gig Delivery Platforms.

Daman Deep Singh, Syamantak Das and Abhijnan Chakraborty.
In 6th ACM Conference on Fairness, Accountability, and Transparency (FAccT), Chicago, USA, June 2023.
Code

[J9] FaiRIR: Mitigating Exposure Bias from Related Item Recommendations in Two-Sided Platforms.

Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee and Krishna P. Gummadi.
In IEEE Transactions on Computational Social Systems (TCSS), Volume 10, Issue 3, June 2023.
Code

[W8] IITDLI: Legal Case Retrieval Based on Lexical Models.

Rohan Debbarma, Pratik Prawar, Abhijnan Chakraborty and Srikanta Bedathur.
In 10th International Competition on Legal Information Extraction/Entailment (COLIEE 2023) co-located with ICAIL Conference, Braga, Portugal, June 2023.

[C32] Towards Fair Allocation in Social Commerce Platforms.

Anjali Gupta, Shreyans Nagori, Abhijnan Chakraborty, Rohit Vaish, Sayan Ranu, Prajit Nadkarni, Narendra Varma and Muthusamy Chelliah.
In 32nd ACM Web Conference (WWW), Austin, USA, April 2023.
Code

[J8] On the Fairness of Time-Critical Influence Maximization in Social Networks.

Junaid Ali, Mahmoudreza Babaei, Abhijnan Chakraborty, Baharan Mirzasoleiman, Krishna P. Gummadi and Adish Singla.
In IEEE Transactions on Knowledge and Data Engineering (TKDE), Volume 35, Issue 3, March 2023.

[C31] Gigs with Guarantees: Achieving Fair Wage for Food Delivery Workers.

Ashish Nair, Rahul Yadav, Anjali Gupta, Abhijnan Chakraborty, Sayan Ranu and Amitabha Bagchi.
In 31st International Joint Conference on Artificial Intelligence (IJCAI), Vienna, Austria, July 2022.
Extended Version Code

[J7/C30] Analyzing Biases in Perception of Truth in News Stories and Their Implications for Fact Checking.

Mahmoudreza Babaei, Juhi Kulshrestha, Abhijnan Chakraborty, Elissa M. Redmiles, Meeyoung Cha, and Krishna P. Gummadi.
In IEEE Transactions on Computational Social Systems (TCSS), Volume 9, Issue 3, June 2022.
Presented at 2nd ACM Conference on Fairness, Accountability, and Transparency (FAccT), Atlanta, USA, January 2019.

[C29] Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers.

Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee and Krishna P. Gummadi.
In 31st ACM Web Conference (WWW), Lyon, France, April 2022.

[C28] Scheduling Virtual Conferences Fairly: Achieving Equitable Participant and Speaker Satisfaction.

Gourab K Patro, Prithwish Jana, Abhijnan Chakraborty, Krishna P. Gummadi and Niloy Ganguly.
In 31st ACM Web Conference (WWW), Lyon, France, April 2022.
Code and Dataset Slides

[C27] FairFoody: Bringing in Fairness in Food Delivery.

Anjali Gupta, Rahul Yadav, Ashish Nair, Abhijnan Chakraborty, Sayan Ranu, and Amitabha Bagchi.
In 36th AAAI Conference on Artificial Intelligence (AAAI), Virtual, February 2022.
Extended Version Code

[J6] Towards Fair Recommendation in Two-Sided Platforms.

Arpita Biswas, Gourab K Patro, Niloy Ganguly, Krishna P. Gummadi and Abhijnan Chakraborty.
In ACM Transactions on the Web (TWEB), Volume 16, Issue 2, December 2021.
Code

[C26] Fair Partitioning of Public Resources: Redrawing District Boundary to Minimize Spatial Inequality in School Funding.

Nuno Mota, Negar Mohammadi, Palash Dey, Krishna P. Gummadi and Abhijnan Chakraborty.
In 30th The Web Conference (WWW), Virtual, April 2021.
Code Accompanying Website

[C25] When the Umpire is also a Player: Bias in Private Label Product Recommendations on E-commerce Marketplaces.

Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee and Krishna P. Gummadi.
In 4th ACM Conference on Fairness, Accountability, and Transparency (FAccT), Virtual, March 2021.

[W7] Analyzing ‘Near Me’ Services: Potential for Exposure Bias in Location-based Retrieval.

Ashmi Banerjee, Gourab K Patro, Linus W. Dietz and Abhijnan Chakraborty.
In Proceedings of the Workshop on Fair and Interpretable Learning Algorithms (FILA) co-located with IEEE BigData Conference, Virtual, December 2020.

[W6] Fairness for Whom? Understanding the Reader's Perception of Fairness in Text Summarization.

Anurag Shandilya, Abhisek Dash, Abhijnan Chakraborty, Kripabandhu Ghosh and Saptarshi Ghosh.
In Proceedings of the Workshop on Fair and Interpretable Learning Algorithms (FILA) co-located with IEEE BigData Conference, Virtual, December 2020.

[J5/C24] On the Desiderata for Online Altruism: Nudging for Equitable Donations.

Nuno Mota, Abhijnan Chakraborty, Asia J. Biega, Krishna P. Gummadi and Hoda Heidari.
In Proceedings of the ACM on Human-Computer Interaction (PACM-HCI), Volume 4, Issue CSCW2, October 2020.
Presented at 23rd ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW), Virtual, October 2020.

[C23] Towards Safety and Sustainability: Designing Local Recommendations for Post-pandemic World.

Gourab K Patro, Abhijnan Chakraborty, Ashmi Banerjee, and Niloy Ganguly.
In 14th ACM Conference on Recommender Systems (RecSys), Virtual, September 2020.
Also presented as Invited Showcase at 12th Indian Conference on Human Computer Interaction (IndiaHCI), Virtual, November 2021.
Code and Dataset Slides

[C22] Minimizing Margin of Victory for Fair Political and Educational Districting.

Ana-Andreea Stoica, Abhijnan Chakraborty, Palash Dey and Krishna P. Gummadi.
In International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Virtual, May 2020.

[C21] FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms.

Gourab K Patro, Arpita Biswas, Niloy Ganguly, Krishna P. Gummadi and Abhijnan Chakraborty.
In 29th The Web Conference (WWW), Virtual, April 2020.
Code Slides

[C20] Incremental Fairness in Two-Sided Market Platforms: On Smoothly Updating Recommendations.

Gourab K Patro, Abhijnan Chakraborty, Niloy Ganguly and Krishna P. Gummadi.
In 34th AAAI Conference on Artificial Intelligence (AAAI), New York City, USA, February 2020.
Slides

[W5] Fairness in Algorithmic Decision Making.

Abhijnan Chakraborty and Krishna P. Gummadi.
Tutorial at ACM India Joint International Conference on Data Science & Management of Data (CODS-COMAD), Hyderabad, India, January 2020.
Tutorial Slides

[J4/C19] Summarizing User-generated Textual Content: Motivation and Methods for Fairness in Algorithmic Summaries.

Abhisek Dash, Anurag Shandilya, Arindam Biswas, Kripabandhu Ghosh, Saptarshi Ghosh and Abhijnan Chakraborty.
In Proceedings of the ACM on Human-Computer Interaction (PACM-HCI), Volume 3, Issue CSCW, November 2019.
Presented at 22nd ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW), Austin, USA, November 2019.
Code and Dataset

[J3] Optimizing the Recency-Relevance-Diversity Trade-offs in Non-personalized News Recommendations

Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly, and Krishna P. Gummadi.
In Information Retrieval Journal, Volume 22, Issue 5, October 2019.

[C18] Two-Sided Fairness for Repeated Matchings in Two-Sided Markets: A Case Study of a Ride-Hailing Platform.

Tom Sühr, Asia J. Biega, Meike Zehlike, Krishna P. Gummadi and Abhijnan Chakraborty.
In 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 2019 (KDD), Anchorage, USA, August 2019.

[J2] Editorial Versus Audience Gatekeeping: Analyzing News Selection and Consumption Dynamics in Online News Media.

Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly, and Krishna P. Gummadi.
In IEEE Transactions on Computational Social Systems (TCSS), Volume 6, No. 4, August 2019.

[W5] Online Social Networks to Foster Long-term Welfare.

Abhijnan Chakraborty, and Niloy Ganguly.
In GetMobile: Mobile Computing and Communications, Volume 23, Issue 2, June 2019.

[C17] On the Impact of Choice Architectures on Inequality in Online Donation Platforms

Abhijnan Chakraborty, Nuno Mota, Asia J. Biega, Krishna P. Gummadi and Hoda Heidari.
In 28th The Web Conference 2019 (WWW), San Francisco, USA, May 2019.

[C16] Public Sphere 2.0: Targeted Commenting in Online News Media

Ankan Mullick, Sayan Ghosh, Ritam Dutt, Avijit Ghosh, and Abhijnan Chakraborty.
In 41st European Conference on Information Retrieval (ECIR), Cologne, Germany, April 2019.
[Best Poster Award]

[C15] Equality of Voice: Towards Fair Representation in Crowdsourced Top-K Recommendations

Abhijnan Chakraborty, Gourab K Patro, Niloy Ganguly, Krishna P. Gummadi, and Patrick Loiseau.
In ACM Conference on Fairness, Accountability, and Transparency (FAccT), Atlanta, USA, January 2019.

[J1/C14] Tabloids in the Era of Social Media? Understanding the Production and Consumption of Clickbaits in Twitter

Abhijnan Chakraborty, Rajdeep Sarkar, Ayushi Mrigen, and Niloy Ganguly.
In Proceedings of the ACM on Human-Computer Interaction (PACM-HCI), Volume 1, Issue CSCW, November 2017.
Presented at 21st ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW), New York City, USA, November 2018.

[C13] Analyzing the News Coverage of Personalized Newspapers

Abhijnan Chakraborty, and Niloy Ganguly.
In 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Barcelona, Spain, August 2018.

[C12] Media Bias Monitor: Quantifying Biases of Social Media News Outlets at Large-Scale

Filipe N. Ribeiro, Lucas Henrique, Fabricio Benevenuto, Abhijnan Chakraborty, Juhi Kulshrestha, Mahmoudreza Babaei, and Krishna P. Gummadi.
In 12th International AAAI Conference on Web and Social Media (ICWSM), Stanford, USA, June 2018.

[W4] On Designing Content Recommender Systems for Online News Media

Abhijnan Chakraborty.
In Doctoral Symposium of ACM Conference on Human Factors in Computing Systems (CHI), Montreal, Canada, April 2018.

[C11] Editorial Algorithms: Optimizing Recency, Relevance and Diversity for Automated News Curation

Abhijnan Chakraborty, Mohammad Luqman, Sidhartha Satapathy, and Niloy Ganguly.
In 27th The Web Conference 2018 (WWW) companion, Lyon, France, April 2018.

[C10] Purple Feed: Identifying High Consensus News Posts on Social Media

Mahmoudreza Babaei, Juhi Kulshrestha, Abhijnan Chakraborty, Fabricio Benevenuto, Krishna P. Gummadi, and Adrian Weller.
In 1st AAAI/ACM conference on Artificial Intelligence, Ethics and Society (AIES), New Orleans, USA, February 2018.

[W3] Fair Sharing for Sharing Economy Platforms

Abhijnan Chakraborty, Asia J. Biega, Aniko Hannak, and Krishna P. Gummadi.
In FATREC Workshop on Responsible Recommendation (colocated with RecSys 2017), Como, Italy, August 2017.

[W2] On Quantifying Knowledge Segregation in Society

Abhijnan Chakraborty, Muhammad Ali, Saptarshi Ghosh, Niloy Ganguly, and Krishna P. Gummadi.
In FATREC Workshop on Responsible Recommendation (colocated with RecSys 2017), Como, Italy, August 2017.

[C9] LMPP: A Large Margin Point Process Combining Reinforcement and Competition for Modeling Hashtag Popularity

Bidisha Samanta, Abir De, Abhijnan Chakraborty, and Niloy Ganguly.
In 26th International Joint Conference on Artificial Intelligence (IJCAI), Melbourne, Australia, August 2017.

[C8] Who Makes Trends? Understanding Demographic Biases in Crowdsourced Recommendations

Abhijnan Chakraborty, Johnnatan Messias, Fabricio Benevenuto, Saptarshi Ghosh, Niloy Ganguly and Krishna P. Gummadi.
In 11th AAAI International Conference on Web and Social Media (ICWSM), Montreal, Canada, May 2017.

[C7] Optimizing the Recency-Relevancy Trade-off in Online News Recommendations

Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly and Krishna P. Gummadi.
In 26th International World Wide Web Conference (WWW), Perth, Australia, April 2017.

[C6] Stop Clickbait: Detecting and Preventing Clickbaits in Online News Media

Abhijnan Chakraborty, Bhargavi Paranjape, Sourya Kakarla, and Niloy Ganguly.
In 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), San Francisco, USA, August 2016.
[Best Student Paper Award] Code Dataset

[C5] Dissemination Biases of Social Media Channels: On The Topical Coverage of Socially Shared News

Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly, and Krishna P. Gummadi.
In 10th AAAI International Conference on Web and Social Media (ICWSM), Cologne, Germany, May 2016.

[C4] Identifying and Characterizing Sleeping Beauties on YouTube

Sandipan Sikdar, Abhijnan Chakraborty, Anshit Chaudhary, Gaurav Kumar, Shraman Kumar, Abhijeet Patil, Niloy Ganguly, and Animesh Mukherjee.
In 19th ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW) companion, San Francisco, USA, February 2016.

Selected Publications

Book