Abhijnan Chakraborty

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 78

Top Topics

Personalized Recommendation

Top Venues

Proc. ACM Hum. Comput. Interact.

Publications

Abhisek Dash, Saptarshi Ghosh, Animesh Mukherjee, Abhijnan Chakraborty, Krishna P. Gummadi
Sponsored is the New Organic: Implications of Sponsored Results on Quality of Search Results in the Amazon Marketplace. CoRR (2024)
Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi
Investigating Nudges toward Related Sellers on E-commerce Marketplaces: A Case Study on Amazon. CoRR (2024)
Garima Chhikara, Abhijnan Chakraborty
#LetsTalk: Understanding Social Media Usage of Self-Harm Users in India. ICWSM (2024)
Aniket Deroy, Naksatra Kumar Bailung, Kripabandhu Ghosh, Saptarshi Ghosh, Abhijnan Chakraborty
Artificial Intelligence (AI) in Legal Data Mining. CoRR (2024)
Salim Chouaki, Abhijnan Chakraborty, Oana Goga, Savvas Zannettou
What News Do People Get on Social Media? Analyzing Exposure and Consumption of News through Data Donations. WWW (2024)
Anjali Gupta, Shreyans J. Nagori, Abhijnan Chakraborty, Rohit Vaish, Sayan Ranu, Prajit Prashant Sinai Nadkarni, Narendra Varma Dasararaju, Muthusamy Chelliah
Towards Fair Allocation in Social Commerce Platforms. CoRR (2024)
Garima Chhikara, Anurag Sharma, V. Gurucharan, Kripabandhu Ghosh, Abhijnan Chakraborty
LaMSUM: A Novel Framework for Extractive Summarization of User Generated Content using LLMs. CoRR (2024)
Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Jens Frankenreiter, Stefan Bechtold, Krishna P. Gummadi
Antitrust, Amazon, and Algorithmic Auditing. CoRR (2024)
Garima Chhikara, Anurag Sharma, Kripabandhu Ghosh, Abhijnan Chakraborty
Few-Shot Fairness: Unveiling LLM's Potential for Fairness-Aware Classification. CoRR (2024)
Pratik Gujral, Kshitij Awaldhi, Navya Jain, Bhavuk Bhandula, Abhijnan Chakraborty
Can LLMs Help Predict Elections? (Counter)Evidence from the World's Largest Democracy. CoRR (2024)
Daman Deep Singh, Amit Kumar, Abhijnan Chakraborty
Towards Fairness in Online Service with K Servers and Its Application on Fair Food Delivery. AAAI (2024)
Daman Deep Singh, Amit Kumar, Abhijnan Chakraborty
Towards Fairness in Online Service with k Servers and its Application on Fair Food Delivery. CoRR (2023)
Daman Deep Singh, Syamantak Das, Abhijnan Chakraborty
FairAssign: Stochastically Fair Driver Assignment in Gig Delivery Platforms. FAccT (2023)
Anjali Gupta, Shreyans J. Nagori, Abhijnan Chakraborty, Rohit Vaish, Sayan Ranu, Prajit Prashant Sinai Nadkarni, Narendra Varma Dasararaju, Muthusamy Chelliah
Towards Fair Allocation in Social Commerce Platforms. WWW (2023)
Junaid Ali, Mahmoudreza Babaei, Abhijnan Chakraborty, Baharan Mirzasoleiman, Krishna P. Gummadi, Adish Singla
On the Fairness of Time-Critical Influence Maximization in Social Networks. IEEE Trans. Knowl. Data Eng. 35 (3) (2023)
Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi
FaiRIR: Mitigating Exposure Bias From Related Item Recommendations in Two-Sided Platforms. IEEE Trans. Comput. Soc. Syst. 10 (3) (2023)
Archit Bansal, Kunal Banerjee, Abhijnan Chakraborty
These Deals Won't Last! Longevity, Uniformity, and Bias in Product Badge Assignment in eCommerce Platforms. eCom@SIGIR (2023)
Garima Chhikara, Kripabandhu Ghosh, Saptarshi Ghosh, Abhijnan Chakraborty
Fairness for both Readers and Authors: Evaluating Summaries of User Generated Content. SIGIR (2023)
Archit Bansal, Kunal Banerjee, Abhijnan Chakraborty
These Deals Won't Last! Longevity, Uniformity and Bias in Product Badge Assignment in E-Commerce Platforms. CoRR (2022)
Ashish Nair, Rahul Yadav, Anjali Gupta, Abhijnan Chakraborty, Sayan Ranu, Amitabha Bagchi
Gigs with Guarantees: Achieving Fair Wage for Food Delivery Workers. IJCAI (2022)
Anjali Gupta, Rahul Yadav, Ashish Nair, Abhijnan Chakraborty, Sayan Ranu, Amitabha Bagchi
FairFoody: Bringing in Fairness in Food Delivery. CoRR (2022)
Mahmoudreza Babaei, Juhi Kulshrestha, Abhijnan Chakraborty, Elissa M. Redmiles, Meeyoung Cha, Krishna P. Gummadi
Analyzing Biases in Perception of Truth in News Stories and Their Implications for Fact Checking. IEEE Trans. Comput. Soc. Syst. 9 (3) (2022)
Gourab K. Patro, Prithwish Jana, Abhijnan Chakraborty, Krishna P. Gummadi, Niloy Ganguly
Scheduling Virtual Conferences Fairly: Achieving Equitable Participant and Speaker Satisfaction. CoRR (2022)
Junaid Ali, Mahmoudreza Babaei, Abhijnan Chakraborty, Baharan Mirzasoleiman, Krishna P. Gummadi, Adish Singla
On the Fairness of Time-Critical Influence Maximization in Social Networks (Extended Abstract). ICDE (2022)
Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi
Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers. WWW (2022)
Arpita Biswas, Gourab K. Patro, Niloy Ganguly, Krishna P. Gummadi, Abhijnan Chakraborty
Toward Fair Recommendation in Two-sided Platforms. ACM Trans. Web 16 (2) (2022)
Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi
FaiRIR: Mitigating Exposure Bias from Related Item Recommendations in Two-Sided Platforms. CoRR (2022)
Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi
Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers. CoRR (2022)
Arpita Biswas, Gourab K. Patro, Niloy Ganguly, Krishna P. Gummadi, Abhijnan Chakraborty
Towards Fair Recommendation in Two-Sided Platforms. CoRR (2022)
Anjali Gupta, Rahul Yadav, Ashish Nair, Abhijnan Chakraborty, Sayan Ranu, Amitabha Bagchi
FairFoody: Bringing In Fairness in Food Delivery. AAAI (2022)
Gourab K. Patro, Prithwish Jana, Abhijnan Chakraborty, Krishna P. Gummadi, Niloy Ganguly
Scheduling Virtual Conferences Fairly: Achieving Equitable Participant and Speaker Satisfaction. WWW (2022)
Ashish Nair, Rahul Yadav, Anjali Gupta, Abhijnan Chakraborty, Sayan Ranu, Amitabha Bagchi
Gigs with Guarantees: Achieving Fair Wage for Food Delivery Workers. CoRR (2022)
Anurag Shandilya, Abhisek Dash, Abhijnan Chakraborty, Kripabandhu Ghosh, Saptarshi Ghosh
Fairness for Whom? Understanding the Reader's Perception of Fairness in Text Summarization. CoRR (2021)
Nuno Mota, Negar Mohammadi, Palash Dey, Krishna P. Gummadi, Abhijnan Chakraborty
Fair Partitioning of Public Resources: Redrawing District Boundary to Minimize Spatial Inequality in School Funding. WWW (2021)
Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi
When the Umpire is also a Player: Bias in Private Label Product Recommendations on E-commerce Marketplaces. CoRR (2021)
Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi
When the Umpire is also a Player: Bias in Private Label Product Recommendations on E-commerce Marketplaces. FAccT (2021)
Anurag Shandilya, Abhisek Dash, Abhijnan Chakraborty, Kripabandhu Ghosh, Saptarshi Ghosh
Fairness for Whom? Understanding the Reader's Perception of Fairness in Text Summarization. IEEE BigData (2020)
Gourab K. Patro, Arpita Biswas, Niloy Ganguly, Krishna P. Gummadi, Abhijnan Chakraborty
FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms. CoRR (2020)
Gourab K. Patro, Abhijnan Chakraborty, Ashmi Banerjee, Niloy Ganguly
Towards Safety and Sustainability: Designing Local Recommendations for Post-pandemic World. RecSys (2020)
Abhijnan Chakraborty, Krishna P. Gummadi
Fairness in Algorithmic Decision Making. COMAD/CODS (2020)
Gourab K. Patro, Arpita Biswas, Niloy Ganguly, Krishna P. Gummadi, Abhijnan Chakraborty
FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms. WWW (2020)
Ashmi Banerjee, Gourab K. Patro, Linus W. Dietz, Abhijnan Chakraborty
Analyzing 'Near Me' Services: Potential for Exposure Bias in Location-based Retrieval. CoRR (2020)
Ashmi Banerjee, Gourab K. Patro, Linus W. Dietz, Abhijnan Chakraborty
Analyzing 'Near Me' Services: Potential for Exposure Bias in Location-based Retrieval. IEEE BigData (2020)
Ana-Andreea Stoica, Abhijnan Chakraborty, Palash Dey, Krishna P. Gummadi
Minimizing Margin of Victory for Fair Political and Educational Districting. AAMAS (2020)
Gourab K. Patro, Abhijnan Chakraborty, Niloy Ganguly, Krishna P. Gummadi
Fair Updates in Two-Sided Market Platforms: On Incrementally Updating Recommendations. AAAI (2020)
Gourab K. Patro, Abhijnan Chakraborty, Niloy Ganguly, Krishna P. Gummadi
On Fair Virtual Conference Scheduling: Achieving Equitable Participant and Speaker Satisfaction. CoRR (2020)
Nuno Mota, Abhijnan Chakraborty, Asia J. Biega, Krishna P. Gummadi, Hoda Heidari
On the Desiderata for Online Altruism: Nudging for Equitable Donations. Proc. ACM Hum. Comput. Interact. 4 (CSCW2) (2020)
Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi
Editorial Versus Audience Gatekeeping: Analyzing News Selection and Consumption Dynamics in Online News Media. IEEE Trans. Comput. Soc. Syst. 6 (4) (2019)
Tom Sühr, Asia J. Biega, Meike Zehlike, Krishna P. Gummadi, Abhijnan Chakraborty
Two-Sided Fairness for Repeated Matchings in Two-Sided Markets: A Case Study of a Ride-Hailing Platform. KDD (2019)
Gourab K. Patro, Abhijnan Chakraborty, Niloy Ganguly, Krishna P. Gummadi
Incremental Fairness in Two-Sided Market Platforms: On Updating Recommendations Fairly. CoRR (2019)
Ankan Mullick, Sayan Ghosh, Ritam Dutt, Avijit Ghosh, Abhijnan Chakraborty
Public Sphere 2.0: Targeted Commenting in Online News Media. ECIR (2) (2019)
Junaid Ali, Mahmoudreza Babaei, Abhijnan Chakraborty, Baharan Mirzasoleiman, Krishna P. Gummadi, Adish Singla
On the Fairness of Time-Critical Influence Maximization in Social Networks. CoRR (2019)
Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi
Optimizing the recency-relevance-diversity trade-offs in non-personalized news recommendations. Inf. Retr. J. 22 (5) (2019)
Mahmoudreza Babaei, Abhijnan Chakraborty, Juhi Kulshrestha, Elissa M. Redmiles, Meeyoung Cha, Krishna P. Gummadi
Analyzing Biases in Perception of Truth in News Stories and Their Implications for Fact Checking. FAT (2019)
Ana-Andreea Stoica, Abhijnan Chakraborty, Palash Dey, Krishna P. Gummadi
Minimizing Margin of Victory for Fair Political and Educational Districting. CoRR (2019)
Ankan Mullick, Sayan Ghosh, Ritam Dutt, Avijit Ghosh, Abhijnan Chakraborty
Public Sphere 2.0: Targeted Commenting in Online News Media. CoRR (2019)
Abhisek Dash, Anurag Shandilya, Arindam Biswas, Kripabandhu Ghosh, Saptarshi Ghosh, Abhijnan Chakraborty
Summarizing User-generated Textual Content: Motivation and Methods for Fairness in Algorithmic Summaries. Proc. ACM Hum. Comput. Interact. 3 (CSCW) (2019)
Abhijnan Chakraborty, Gourab K. Patro, Niloy Ganguly, Krishna P. Gummadi, Patrick Loiseau
Equality of Voice: Towards Fair Representation in Crowdsourced Top-K Recommendations. FAT (2019)
Abhijnan Chakraborty, Nuno Mota, Asia J. Biega, Krishna P. Gummadi, Hoda Heidari
On the Impact of Choice Architectures on Inequality in Online Donation Platforms. WWW (2019)
Abhijnan Chakraborty, Niloy Ganguly
Online Social Networks to Foster Long-Term Welfare. GetMobile Mob. Comput. Commun. 23 (2) (2019)
Mahmoudreza Babaei, Juhi Kulshrestha, Abhijnan Chakraborty, Fabrício Benevenuto, Krishna P. Gummadi, Adrian Weller
Purple Feed: Identifying High Consensus News Posts on Social Media. AIES (2018)
Abhijnan Chakraborty
On Designing Content Recommender Systems for Online News Media. CHI Extended Abstracts (2018)
Abhijnan Chakraborty, Gourab K. Patro, Niloy Ganguly, Krishna P. Gummadi, Patrick Loiseau
Equality of Voice: Towards Fair Representation in Crowdsourced Top-K Recommendations. CoRR (2018)
Abhijnan Chakraborty, Mohammad Luqman, Sidhartha Satapathy, Niloy Ganguly
Editorial Algorithms: Optimizing Recency, Relevance and Diversity for Automated News Curation. WWW (Companion Volume) (2018)
Abhisek Dash, Anurag Shandilya, Arindam Biswas, Abhijnan Chakraborty, Kripabandhu Ghosh, Saptarshi Ghosh
Beyond ROUGE Scores in Algorithmic Summarization: Creating Fairness-Preserving Textual Summaries. CoRR (2018)
Abhijnan Chakraborty, Niloy Ganguly
Analyzing the News Coverage of Personalized Newspapers. ASONAM (2018)
Filipe Nunes Ribeiro, Lucas Henrique C. Lima, Fabrício Benevenuto, Abhijnan Chakraborty, Juhi Kulshrestha, Mahmoudreza Babaei, Krishna P. Gummadi
Media Bias Monitor: Quantifying Biases of Social Media News Outlets at Large-Scale. ICWSM (2018)
Abhijnan Chakraborty, Rajdeep Sarkar, Ayushi Mrigen, Niloy Ganguly
Tabloids in the Era of Social Media?: Understanding the Production and Consumption of Clickbaits in Twitter. Proc. ACM Hum. Comput. Interact. 1 (CSCW) (2017)
Abhijnan Chakraborty, Johnnatan Messias, Fabrício Benevenuto, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi
Who Makes Trends? Understanding Demographic Biases in Crowdsourced Recommendations. ICWSM (2017)
Abhijnan Chakraborty, Muhammad Ali, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi
On Quantifying Knowledge Segregation in Society. CoRR (2017)
Abhijnan Chakraborty, Rajdeep Sarkar, Ayushi Mrigen, Niloy Ganguly
Tabloids in the Era of Social Media? Understanding the Production and Consumption of Clickbaits in Twitter. CoRR (2017)
Abhijnan Chakraborty, Johnnatan Messias, Fabrício Benevenuto, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi
Who Makes Trends? Understanding Demographic Biases in Crowdsourced Recommendations. CoRR (2017)
Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi
Optimizing the Recency-Relevancy Trade-off in Online News Recommendations. WWW (2017)
Bidisha Samanta, Abir De, Abhijnan Chakraborty, Niloy Ganguly
LMPP: A Large Margin Point Process Combining Reinforcement and Competition for Modeling Hashtag Popularity. IJCAI (2017)
Abhijnan Chakraborty, Bhargavi Paranjape, Sourya Kakarla, Niloy Ganguly
Stop Clickbait: Detecting and Preventing Clickbaits in Online News Media. CoRR (2016)
Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi
Dissemination Biases of Social Media Channels: On the Topical Coverage of Socially Shared News. ICWSM (2016)
Abhijnan Chakraborty, Bhargavi Paranjape, Sourya Kakarla, Niloy Ganguly
Stop Clickbait: Detecting and preventing clickbaits in online news media. ASONAM (2016)
Sandipan Sikdar, Anshit E. Chaudhary, Shraman Kumar, Niloy Ganguly, Abhijnan Chakraborty, Gaurav Kumar, Abhijeet Patil, Animesh Mukherjee
Identifying and Characterizing Sleeping Beauties on YouTube. CSCW Companion (2016)
Koustav Rudra, Abhijnan Chakraborty, Manav Sethi, Shreyasi Das, Niloy Ganguly, Saptarshi Ghosh
#FewThingsAboutIdioms: Understanding Idioms and Its Users in the Twitter Online Social Network. PAKDD (1) (2015)
Abhijnan Chakraborty, Vishnu Navda, Venkata N. Padmanabhan, Ramachandran Ramjee
LoadSense: Passively estimating cellular load. COMSNETS (2014)
Abhijnan Chakraborty, Vishnu Navda, Venkata N. Padmanabhan, Ramachandran Ramjee
Coordinating cellular background transfers using loadsense. MobiCom (2013)
Tanmoy Chakraborty, Abhijnan Chakraborty
OverCite: finding overlapping communities in citation network. ASONAM (2013)
Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly
Detecting overlapping communities in folksonomies. HT (2012)
Koushik Mandal, Arindam Sen, Abhijnan Chakraborty, Siuli Roy, Suvadip Batabyal, Somprakash Bandyopadhyay
Road traffic congestion monitoring and measurement using active RFID and GSM technology. ITSC (2011)