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Abhijnan Chakraborty
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2020 – today
- 2024
- [j11]Abhisek Dash
, Abhijnan Chakraborty
Investigating Nudges toward Related Sellers on E-commerce Marketplaces: A Case Study on Amazon. Proc. ACM Hum. Comput. Interact. 8(CSCW2): 1-31 (2024) - [c43]Daman Deep Singh, Amit Kumar, Abhijnan Chakraborty:
Towards Fairness in Online Service with K Servers and Its Application on Fair Food Delivery. AAAI 2024: 19929-19936 - [c42]Garima Chhikara, Abhijnan Chakraborty:
#LetsTalk: Understanding Social Media Usage of Self-Harm Users in India. ICWSM 2024: 289-301 - [c41]Salim Chouaki
What News Do People Get on Social Media? Analyzing Exposure and Consumption of News through Data Donations. WWW 2024: 2371-2382 - [i31]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 abs/2402.12759 (2024) - [i30]Garima Chhikara, Anurag Sharma
Few-Shot Fairness: Unveiling LLM's Potential for Fairness-Aware Classification. CoRR abs/2402.18502 (2024) - [i29]Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Jens Frankenreiter
Antitrust, Amazon, and Algorithmic Auditing. CoRR abs/2403.18623 (2024) - [i28]Pratik Gujral, Kshitij Awaldhi, Navya Jain, Bhavuk Bhandula, Abhijnan Chakraborty:
Can LLMs Help Predict Elections? (Counter)Evidence from the World's Largest Democracy. CoRR abs/2405.07828 (2024) - [i27]Aniket Deroy, Naksatra Kumar Bailung, Kripabandhu Ghosh, Saptarshi Ghosh, Abhijnan Chakraborty:
Artificial Intelligence (AI) in Legal Data Mining. CoRR abs/2405.14707 (2024) - [i26]Garima Chhikara, Anurag Sharma
LaMSUM: A Novel Framework for Extractive Summarization of User Generated Content using LLMs. CoRR abs/2406.15809 (2024) - [i25]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 abs/2407.01732 (2024) - [i24]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 abs/2407.19099 (2024) - 2023
- [j10]Abhisek Dash
FaiRIR: Mitigating Exposure Bias From Related Item Recommendations in Two-Sided Platforms. IEEE Trans. Comput. Soc. Syst. 10(3): 1301-1313 (2023) - [j9]Junaid Ali
On the Fairness of Time-Critical Influence Maximization in Social Networks. IEEE Trans. Knowl. Data Eng. 35(3): 2875-2886 (2023) - [c40]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 - [c39]Daman Deep Singh
FairAssign: Stochastically Fair Driver Assignment in Gig Delivery Platforms. FAccT 2023: 753-763 - [c38]Garima Chhikara
Fairness for both Readers and Authors: Evaluating Summaries of User Generated Content. SIGIR 2023: 1996-2000 - [c37]Anjali Gupta
Towards Fair Allocation in Social Commerce Platforms. WWW 2023: 3744-3754 - [i23]Daman Deep Singh, Amit Kumar, Abhijnan Chakraborty:
Towards Fairness in Online Service with k Servers and its Application on Fair Food Delivery. CoRR abs/2312.11280 (2023) - 2022
- [j8]Mahmoudreza Babaei
Analyzing Biases in Perception of Truth in News Stories and Their Implications for Fact Checking. IEEE Trans. Comput. Soc. Syst. 9(3): 839-850 (2022) - [j7]Arpita Biswas
Toward Fair Recommendation in Two-sided Platforms. ACM Trans. Web 16(2): 8:1-8:34 (2022) - [c36]Anjali Gupta, Rahul Yadav, Ashish Nair, Abhijnan Chakraborty, Sayan Ranu, Amitabha Bagchi:
FairFoody: Bringing In Fairness in Food Delivery. AAAI 2022: 11900-11907 - [c35]Junaid Ali, Mahmoudreza Babaei, Abhijnan Chakraborty, Baharan Mirzasoleiman, Krishna P. Gummadi
On the Fairness of Time-Critical Influence Maximization in Social Networks (Extended Abstract). ICDE 2022: 1541-1542 - [c34]Ashish Nair, Rahul Yadav, Anjali Gupta, Abhijnan Chakraborty, Sayan Ranu, Amitabha Bagchi:
Gigs with Guarantees: Achieving Fair Wage for Food Delivery Workers. IJCAI 2022: 5122-5128 - [c33]Gourab K. Patro, Prithwish Jana
Scheduling Virtual Conferences Fairly: Achieving Equitable Participant and Speaker Satisfaction. WWW 2022: 2646-2656 - [c32]Abhisek Dash
Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers. WWW 2022: 3695-3705 - [i22]Arpita Biswas, Gourab K. Patro, Niloy Ganguly, Krishna P. Gummadi, Abhijnan Chakraborty:
Towards Fair Recommendation in Two-Sided Platforms. CoRR abs/2201.01180 (2022) - [i21]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 abs/2202.03934 (2022) - [i20]Anjali Gupta, Rahul Yadav, Ashish Nair, Abhijnan Chakraborty, Sayan Ranu, Amitabha Bagchi:
FairFoody: Bringing in Fairness in Food Delivery. CoRR abs/2203.08849 (2022) - [i19]Abhisek Dash
FaiRIR: Mitigating Exposure Bias from Related Item Recommendations in Two-Sided Platforms. CoRR abs/2204.00241 (2022) - [i18]Gourab K. Patro, Prithwish Jana, Abhijnan Chakraborty, Krishna P. Gummadi
Scheduling Virtual Conferences Fairly: Achieving Equitable Participant and Speaker Satisfaction. CoRR abs/2204.12062 (2022) - [i17]Archit Bansal, Kunal Banerjee, Abhijnan Chakraborty:
These Deals Won't Last! Longevity, Uniformity and Bias in Product Badge Assignment in E-Commerce Platforms. CoRR abs/2204.12552 (2022) - [i16]Ashish Nair, Rahul Yadav, Anjali Gupta, Abhijnan Chakraborty, Sayan Ranu, Amitabha Bagchi:
Gigs with Guarantees: Achieving Fair Wage for Food Delivery Workers. CoRR abs/2205.03530 (2022) - 2021
- [c31]Abhisek Dash
When the Umpire is also a Player: Bias in Private Label Product Recommendations on E-commerce Marketplaces. FAccT 2021: 873-884 - [c30]Nuno Mota, Negar Mohammadi, Palash Dey, Krishna P. Gummadi
Fair Partitioning of Public Resources: Redrawing District Boundary to Minimize Spatial Inequality in School Funding. WWW 2021: 646-657 - [i15]Anurag Shandilya, Abhisek Dash, Abhijnan Chakraborty, Kripabandhu Ghosh, Saptarshi Ghosh:
Fairness for Whom? Understanding the Reader's Perception of Fairness in Text Summarization. CoRR abs/2101.12406 (2021) - [i14]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 abs/2102.00141 (2021) - 2020
- [j6]Nuno Mota, Abhijnan Chakraborty, Asia J. Biega, Krishna P. Gummadi
On the Desiderata for Online Altruism: Nudging for Equitable Donations. Proc. ACM Hum. Comput. Interact. 4(CSCW2): 126:1-126:21 (2020) - [c29]Gourab K. Patro, Abhijnan Chakraborty, Niloy Ganguly, Krishna P. Gummadi
Fair Updates in Two-Sided Market Platforms: On Incrementally Updating Recommendations. AAAI 2020: 181-188 - [c28]Ana-Andreea Stoica, Abhijnan Chakraborty, Palash Dey, Krishna P. Gummadi:
Minimizing Margin of Victory for Fair Political and Educational Districting. AAMAS 2020: 1305-1313 - [c27]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: 3642-3651 - [c26]Anurag Shandilya, Abhisek Dash
Fairness for Whom? Understanding the Reader's Perception of Fairness in Text Summarization. IEEE BigData 2020: 3692-3701 - [c25]Abhijnan Chakraborty, Krishna P. Gummadi
Fairness in Algorithmic Decision Making. COMAD/CODS 2020: 367-368 - [c24]Gourab K. Patro, Abhijnan Chakraborty, Ashmi Banerjee, Niloy Ganguly
Towards Safety and Sustainability: Designing Local Recommendations for Post-pandemic World. RecSys 2020: 358-367 - [c23]Gourab K. Patro, Arpita Biswas
FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms. WWW 2020: 1194-1204 - [i13]Gourab K. Patro, Arpita Biswas, Niloy Ganguly, Krishna P. Gummadi, Abhijnan Chakraborty:
FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms. CoRR abs/2002.10764 (2020) - [i12]Gourab K. Patro, Abhijnan Chakraborty, Niloy Ganguly, Krishna P. Gummadi:
On Fair Virtual Conference Scheduling: Achieving Equitable Participant and Speaker Satisfaction. CoRR abs/2010.14624 (2020) - [i11]Ashmi Banerjee, Gourab K. Patro, Linus W. Dietz, Abhijnan Chakraborty:
Analyzing 'Near Me' Services: Potential for Exposure Bias in Location-based Retrieval. CoRR abs/2011.07359 (2020)
2010 – 2019
- 2019
- [j5]Abhijnan Chakraborty
Optimizing the recency-relevance-diversity trade-offs in non-personalized news recommendations. Inf. Retr. J. 22(5): 447-475 (2019) - [j4]Abhisek Dash
Summarizing User-generated Textual Content: Motivation and Methods for Fairness in Algorithmic Summaries. Proc. ACM Hum. Comput. Interact. 3(CSCW): 172:1-172:28 (2019) - [j3]Abhijnan Chakraborty, Niloy Ganguly:
Online Social Networks to Foster Long-Term Welfare. GetMobile Mob. Comput. Commun. 23(2): 5-8 (2019) - [j2]Abhijnan Chakraborty
Editorial Versus Audience Gatekeeping: Analyzing News Selection and Consumption Dynamics in Online News Media. IEEE Trans. Comput. Soc. Syst. 6(4): 680-691 (2019) - [c22]Ankan Mullick, Sayan Ghosh, Ritam Dutt, Avijit Ghosh
Public Sphere 2.0: Targeted Commenting in Online News Media. ECIR (2) 2019: 180-187 - [c21]Abhijnan Chakraborty, Gourab K. Patro, Niloy Ganguly
Equality of Voice: Towards Fair Representation in Crowdsourced Top-K Recommendations. FAT 2019: 129-138 - [c20]Mahmoudreza Babaei, Abhijnan Chakraborty, Juhi Kulshrestha, Elissa M. Redmiles, Meeyoung Cha
Analyzing Biases in Perception of Truth in News Stories and Their Implications for Fact Checking. FAT 2019: 139 - [c19]Tom Sühr, Asia J. Biega, Meike Zehlike, Krishna P. Gummadi
Two-Sided Fairness for Repeated Matchings in Two-Sided Markets: A Case Study of a Ride-Hailing Platform. KDD 2019: 3082-3092 - [c18]Abhijnan Chakraborty, Nuno Mota, Asia J. Biega, Krishna P. Gummadi
On the Impact of Choice Architectures on Inequality in Online Donation Platforms. WWW 2019: 2623-2629 - [i10]Ankan Mullick, Sayan Ghosh, Ritam Dutt, Avijit Ghosh, Abhijnan Chakraborty:
Public Sphere 2.0: Targeted Commenting in Online News Media. CoRR abs/1902.07946 (2019) - [i9]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 abs/1905.06618 (2019) - [i8]Ana-Andreea Stoica, Abhijnan Chakraborty, Palash Dey, Krishna P. Gummadi:
Minimizing Margin of Victory for Fair Political and Educational Districting. CoRR abs/1909.05583 (2019) - [i7]Gourab K. Patro, Abhijnan Chakraborty, Niloy Ganguly, Krishna P. Gummadi:
Incremental Fairness in Two-Sided Market Platforms: On Updating Recommendations Fairly. CoRR abs/1909.10005 (2019) - 2018
- [c17]Mahmoudreza Babaei, Juhi Kulshrestha
Purple Feed: Identifying High Consensus News Posts on Social Media. AIES 2018: 10-16 - [c16]Abhijnan Chakraborty, Niloy Ganguly
Analyzing the News Coverage of Personalized Newspapers. ASONAM 2018: 540-543 - [c15]Abhijnan Chakraborty:
On Designing Content Recommender Systems for Online News Media. CHI Extended Abstracts 2018 - [c14]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: 290-299 - [c13]Abhijnan Chakraborty, Mohammad Luqman, Sidhartha Satapathy, Niloy Ganguly
Editorial Algorithms: Optimizing Recency, Relevance and Diversity for Automated News Curation. WWW (Companion Volume) 2018: 77-78 - [i6]Abhisek Dash, Anurag Shandilya, Arindam Biswas, Abhijnan Chakraborty, Kripabandhu Ghosh, Saptarshi Ghosh:
Beyond ROUGE Scores in Algorithmic Summarization: Creating Fairness-Preserving Textual Summaries. CoRR abs/1810.09147 (2018) - [i5]Abhijnan Chakraborty, Gourab K. Patro, Niloy Ganguly, Krishna P. Gummadi, Patrick Loiseau:
Equality of Voice: Towards Fair Representation in Crowdsourced Top-K Recommendations. CoRR abs/1811.08690 (2018) - 2017
- [j1]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): 30:1-30:21 (2017) - [c12]Abhijnan Chakraborty, Johnnatan Messias, Fabrício Benevenuto, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi
Who Makes Trends? Understanding Demographic Biases in Crowdsourced Recommendations. ICWSM 2017: 22-31 - [c11]Bidisha Samanta, Abir De, Abhijnan Chakraborty, Niloy Ganguly
LMPP: A Large Margin Point Process Combining Reinforcement and Competition for Modeling Hashtag Popularity. IJCAI 2017: 2679-2685 - [c10]Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly
Optimizing the Recency-Relevancy Trade-off in Online News Recommendations. WWW 2017: 837-846 - [i4]Abhijnan Chakraborty, Johnnatan Messias, Fabrício Benevenuto, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi:
Who Makes Trends? Understanding Demographic Biases in Crowdsourced Recommendations. CoRR abs/1704.00139 (2017) - [i3]Abhijnan Chakraborty, Muhammad Ali, Saptarshi Ghosh, Niloy Ganguly, Krishna P. Gummadi:
On Quantifying Knowledge Segregation in Society. CoRR abs/1708.00670 (2017) - [i2]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 abs/1709.02957 (2017) - 2016
- [c9]Abhijnan Chakraborty, Bhargavi Paranjape, Sourya Kakarla
Stop Clickbait: Detecting and preventing clickbaits in online news media. ASONAM 2016: 9-16 - [c8]Sandipan Sikdar, Anshit E. Chaudhary, Shraman Kumar, Niloy Ganguly
Identifying and Characterizing Sleeping Beauties on YouTube. CSCW Companion 2016: 405-408 - [c7]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: 559-562 - [i1]Abhijnan Chakraborty, Bhargavi Paranjape, Sourya Kakarla, Niloy Ganguly:
Stop Clickbait: Detecting and Preventing Clickbaits in Online News Media. CoRR abs/1610.09786 (2016) - 2015
- [c6]Koustav Rudra
#FewThingsAboutIdioms: Understanding Idioms and Its Users in the Twitter Online Social Network. PAKDD (1) 2015: 108-121 - 2014
- [c5]Abhijnan Chakraborty, Vishnu Navda, Venkata N. Padmanabhan, Ramachandran Ramjee:
LoadSense: Passively estimating cellular load. COMSNETS 2014: 1-3 - 2013
- [c4]Tanmoy Chakraborty
OverCite: finding overlapping communities in citation network. ASONAM 2013: 1124-1131 - [c3]Abhijnan Chakraborty, Vishnu Navda, Venkata N. Padmanabhan, Ramachandran Ramjee:
Coordinating cellular background transfers using loadsense. MobiCom 2013: 63-74 - 2012
- [c2]Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly
Detecting overlapping communities in folksonomies. HT 2012: 213-218 - 2011
- [c1]Koushik Mandal, Arindam Sen, Abhijnan Chakraborty, Siuli Roy, Suvadip Batabyal
Road traffic congestion monitoring and measurement using active RFID and GSM technology. ITSC 2011: 1375-1379
Coauthor Index
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