Abhijnan Chakraborty

According to our database, Abhijnan Chakraborty authored at least 58 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Antitrust, Amazon, and Algorithmic Auditing.

Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Jens Frankenreiter, Stefan Bechtold, Krishna P. Gummadi

CoRR, 2024

Few-Shot Fairness: Unveiling LLM's Potential for Fairness-Aware Classification.

Garima Chhikara, Anurag Sharma, Kripabandhu Ghosh, Abhijnan Chakraborty

CoRR, 2024

Towards Fairness in Online Service with K Servers and Its Application on Fair Food Delivery.

Daman Deep Singh, Amit Kumar, Abhijnan Chakraborty

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

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

Junaid Ali, Mahmoudreza Babaei, Abhijnan Chakraborty, Baharan Mirzasoleiman, Krishna P. Gummadi, Adish Singla

IEEE Trans. Knowl. Data Eng., March, 2023

FaiRIR: Mitigating Exposure Bias From Related Item Recommendations in Two-Sided Platforms.

Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi

IEEE Trans. Comput. Soc. Syst., 2023

Towards Fair Allocation in Social Commerce Platforms.

Anjali Gupta, Shreyans J. Nagori, Abhijnan Chakraborty, Rohit Vaish, Sayan Ranu, Prajit Prashant Sinai Nadkarni, Narendra Varma Dasararaju, Muthusamy Chelliah

Proceedings of the ACM Web Conference 2023, 2023

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

Garima Chhikara, Kripabandhu Ghosh, Saptarshi Ghosh, Abhijnan Chakraborty

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

FairAssign: Stochastically Fair Driver Assignment in Gig Delivery Platforms.

Daman Deep Singh, Syamantak Das, Abhijnan Chakraborty

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

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

Archit Bansal, Kunal Banerjee, Abhijnan Chakraborty

Proceedings of the 2023 SIGIR Workshop on eCommerce co-located with the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023), 2023

2022

Toward Fair Recommendation in Two-sided Platforms.

Arpita Biswas, Gourab K. Patro, Niloy Ganguly, Krishna P. Gummadi, Abhijnan Chakraborty

ACM Trans. Web, 2022

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, Krishna P. Gummadi

IEEE Trans. Comput. Soc. Syst., 2022

These Deals Won't Last! Longevity, Uniformity and Bias in Product Badge Assignment in E-Commerce Platforms.

Archit Bansal, Kunal Banerjee, Abhijnan Chakraborty

CoRR, 2022

Towards Fair Recommendation in Two-Sided Platforms.

Arpita Biswas, Gourab K. Patro, Niloy Ganguly, Krishna P. Gummadi, Abhijnan Chakraborty

CoRR, 2022

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

Gourab K. Patro, Prithwish Jana, Abhijnan Chakraborty, Krishna P. Gummadi, Niloy Ganguly

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

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

Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

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

Ashish Nair, Rahul Yadav, Anjali Gupta, Abhijnan Chakraborty, Sayan Ranu, Amitabha Bagchi

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

On the Fairness of Time-Critical Influence Maximization in Social Networks (Extended Abstract).

Junaid Ali, Mahmoudreza Babaei, Abhijnan Chakraborty, Baharan Mirzasoleiman, Krishna P. Gummadi, Adish Singla

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

FairFoody: Bringing In Fairness in Food Delivery.

Anjali Gupta, Rahul Yadav, Ashish Nair, Abhijnan Chakraborty, Sayan Ranu, Amitabha Bagchi

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

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

Nuno Mota, Negar Mohammadi, Palash Dey, Krishna P. Gummadi, Abhijnan Chakraborty

Proceedings of the WWW '21: The Web Conference 2021, 2021

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, Krishna P. Gummadi

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

2020

On the Desiderata for Online Altruism: Nudging for Equitable Donations.

Nuno Mota, Abhijnan Chakraborty, Asia J. Biega, Krishna P. Gummadi, Hoda Heidari

Proc. ACM Hum. Comput. Interact., 2020

On Fair Virtual Conference Scheduling: Achieving Equitable Participant and Speaker Satisfaction.

Gourab K. Patro, Abhijnan Chakraborty, Niloy Ganguly, Krishna P. Gummadi

CoRR, 2020

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

Gourab K. Patro, Arpita Biswas, Niloy Ganguly, Krishna P. Gummadi, Abhijnan Chakraborty

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

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

Gourab K. Patro, Abhijnan Chakraborty, Ashmi Banerjee, Niloy Ganguly

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Fairness in Algorithmic Decision Making.

Abhijnan Chakraborty, Krishna P. Gummadi

Proceedings of the CoDS-COMAD 2020: 7th ACM IKDD CoDS and 25th COMAD, 2020

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

Anurag Shandilya, Abhisek Dash, Abhijnan Chakraborty, Kripabandhu Ghosh, Saptarshi Ghosh

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Analyzing 'Near Me' Services: Potential for Exposure Bias in Location-based Retrieval.

Ashmi Banerjee, Gourab K. Patro, Linus W. Dietz, Abhijnan Chakraborty

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Minimizing Margin of Victory for Fair Political and Educational Districting.

Ana-Andreea Stoica, Abhijnan Chakraborty, Palash Dey, Krishna P. Gummadi

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Fair Updates in Two-Sided Market Platforms: On Incrementally Updating Recommendations.

Gourab K. Patro, Abhijnan Chakraborty, Niloy Ganguly, Krishna P. Gummadi

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

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

Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi

IEEE Trans. Comput. Soc. Syst., 2019

Online Social Networks to Foster Long-Term Welfare.

Abhijnan Chakraborty, Niloy Ganguly

GetMobile Mob. Comput. Commun., 2019

Summarizing User-generated Textual Content: Motivation and Methods for Fairness in Algorithmic Summaries.

Abhisek Dash, Anurag Shandilya, Arindam Biswas, Kripabandhu Ghosh, Saptarshi Ghosh, Abhijnan Chakraborty

Proc. ACM Hum. Comput. Interact., 2019

Optimizing the recency-relevance-diversity trade-offs in non-personalized news recommendations.

Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi

Inf. Retr. J., 2019

Incremental Fairness in Two-Sided Market Platforms: On Updating Recommendations Fairly.

Gourab K. Patro, Abhijnan Chakraborty, Niloy Ganguly, Krishna P. Gummadi

CoRR, 2019

On the Impact of Choice Architectures on Inequality in Online Donation Platforms.

Abhijnan Chakraborty, Nuno Mota, Asia J. Biega, Krishna P. Gummadi, Hoda Heidari

Proceedings of the World Wide Web Conference, 2019

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, Abhijnan Chakraborty

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Equality of Voice: Towards Fair Representation in Crowdsourced Top-K Recommendations.

Abhijnan Chakraborty, Gourab K. Patro, Niloy Ganguly, Krishna P. Gummadi, Patrick Loiseau

Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

Public Sphere 2.0: Targeted Commenting in Online News Media.

Ankan Mullick, Sayan Ghosh, Ritam Dutt, Avijit Ghosh, Abhijnan Chakraborty

Proceedings of the Advances in Information Retrieval, 2019

2018

Beyond ROUGE Scores in Algorithmic Summarization: Creating Fairness-Preserving Textual Summaries.

Abhisek Dash, Anurag Shandilya, Arindam Biswas, Abhijnan Chakraborty, Kripabandhu Ghosh, Saptarshi Ghosh

CoRR, 2018

Editorial Algorithms: Optimizing Recency, Relevance and Diversity for Automated News Curation.

Abhijnan Chakraborty, Mohammad Luqman, Sidhartha Satapathy, Niloy Ganguly

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Media Bias Monitor: Quantifying Biases of Social Media News Outlets at Large-Scale.

Filipe Nunes Ribeiro, Lucas Henrique C. Lima, Fabrício Benevenuto, Abhijnan Chakraborty, Juhi Kulshrestha, Mahmoudreza Babaei, Krishna P. Gummadi

Proceedings of the Twelfth International Conference on Web and Social Media, 2018

On Designing Content Recommender Systems for Online News Media.

Abhijnan Chakraborty

Proceedings of the Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

Analyzing the News Coverage of Personalized Newspapers.

Abhijnan Chakraborty, Niloy Ganguly

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

Purple Feed: Identifying High Consensus News Posts on Social Media.

Mahmoudreza Babaei, Juhi Kulshrestha, Abhijnan Chakraborty, Fabrício Benevenuto, Krishna P. Gummadi, Adrian Weller

Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 2018

2017

Tabloids in the Era of Social Media?: Understanding the Production and Consumption of Clickbaits in Twitter.

Abhijnan Chakraborty, Rajdeep Sarkar, Ayushi Mrigen, Niloy Ganguly

Proc. ACM Hum. Comput. Interact., 2017

On Quantifying Knowledge Segregation in Society.

Abhijnan Chakraborty, Muhammad Ali, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi

CoRR, 2017

Optimizing the Recency-Relevancy Trade-off in Online News Recommendations.

Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi

Proceedings of the 26th International Conference on World Wide Web, 2017

LMPP: A Large Margin Point Process Combining Reinforcement and Competition for Modeling Hashtag Popularity.

Bidisha Samanta, Abir De, Abhijnan Chakraborty, Niloy Ganguly

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Who Makes Trends? Understanding Demographic Biases in Crowdsourced Recommendations.

Abhijnan Chakraborty, Johnnatan Messias, Fabrício Benevenuto, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi

Proceedings of the Eleventh International Conference on Web and Social Media, 2017

2016

Dissemination Biases of Social Media Channels: On the Topical Coverage of Socially Shared News.

Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi

Proceedings of the Tenth International Conference on Web and Social Media, 2016

Identifying and Characterizing Sleeping Beauties on YouTube.

Sandipan Sikdar, Anshit E. Chaudhary, Shraman Kumar, Niloy Ganguly, Abhijnan Chakraborty, Gaurav Kumar, Abhijeet Patil, Animesh Mukherjee

Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing, 2016

Stop Clickbait: Detecting and preventing clickbaits in online news media.

Abhijnan Chakraborty, Bhargavi Paranjape, Sourya Kakarla, Niloy Ganguly

Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015

#FewThingsAboutIdioms: Understanding Idioms and Its Users in the Twitter Online Social Network.

Koustav Rudra, Abhijnan Chakraborty, Manav Sethi, Shreyasi Das, Niloy Ganguly, Saptarshi Ghosh

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

2014

LoadSense: Passively estimating cellular load.

Abhijnan Chakraborty, Vishnu Navda, Venkata N. Padmanabhan, Ramachandran Ramjee

Proceedings of the Sixth International Conference on Communication Systems and Networks, 2014

2013

Coordinating cellular background transfers using loadsense.

Abhijnan Chakraborty, Vishnu Navda, Venkata N. Padmanabhan, Ramachandran Ramjee

Proceedings of the 19th Annual International Conference on Mobile Computing and Networking, 2013

OverCite: finding overlapping communities in citation network.

Tanmoy Chakraborty, Abhijnan Chakraborty

Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012

Detecting overlapping communities in folksonomies.

Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly

Proceedings of the 23rd ACM Conference on Hypertext and Social Media, 2012

2011

Road traffic congestion monitoring and measurement using active RFID and GSM technology.

Koushik Mandal, Arindam Sen, Abhijnan Chakraborty, Siuli Roy, Suvadip Batabyal, Somprakash Bandyopadhyay

Proceedings of the 14th International IEEE Conference on Intelligent Transportation Systems, 2011