Abhijnan Chakraborty

Dr. Abhijnan Chakraborty

Post Doctoral Researcher
Max Planck Institute for Software Systems (MPI-SWS)
Research Area: Social Computing, Fairness in Machine Learning

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Curriculum Vitae   ||   Research Statement

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About Me

The name Abhijnan (or Abhigyan) (Devanagari: अभिज्ञान, Bengali: অভিজ্ঞান) (pronounced as ovignən) originates from the Sanskrit word Abhijñāna, which means someone/something enabling recollection or remembrance. So, Abhijnan literally means a symbol of recognition. If you are struggling to pronounce my name, just call me "Abhi" (or "Abi").

I am currently a post-doctoral researcher at the Max Planck Institute for Software Systems. I obtained PhD from the Indian Institute of Technology (IIT) Kharagpur, where I was jointly advised by Prof. Niloy Ganguly, IIT Kharagpur and Prof. Krishna Gummadi, MPI-SWS. During PhD, I was awarded the prestigious Prime Minister's Fellowship for Doctoral Research and Google India PhD Fellowship. Before joining PhD, I have worked at Microsoft Research India in Bangalore for two years.

Selected Publications

For full list of publications, kindly check my Google Scholar or DBLP Profile.

Preprint

[P2] Minimizing Margin of Victory for Fair Political and Educational Districting.

Ana-Andreea Stoica, Abhijnan Chakraborty, Palash Dey and Krishna P. Gummadi.
In ArXiv:1909.05583. Page: 1 - 10.

[P1] On the Fairness of Time-Critical Influence Maximizationin Social Networks.

Junaid Ali, Mahmoudreza Babaei, Abhijnan Chakraborty, Baharan Mirzasoleiman, Krishna P. Gummadi and Adish Singla.
In ArXiv:1905.06618. Page: 1 - 10.

2019

[C22] Incremental Fairness in Two-Sided Market Platforms: On Updating Recommendations Fairly.

Gourab K Patro, Abhijnan Chakraborty, Niloy Ganguly and Krishna P. Gummadi.
To appear in proceedings of 34th AAAI Conference on Artificial Intelligence (AAAI), New York, USA, February 2020.

[J4/C21] 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, Volume 3, Issue (CSCW), November 2019. Page: 172:1 - 172:28.
Presented at 22nd ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW), Austin, Texas, USA, November 2019.

[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 Vol. 22, Issue 5, October 2019. Page: 447 – 475.

[C20] 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 proceedings of 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 2019 (KDD), Anchorage, Alaska, USA, August 2019. Page: 3082 -- 3092.

[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), Vol.6, No.4, August 2019. Page: 680 -- 691.

[C19] 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 proceedings of The Web Conference 2019 (WWW), San Francisco, CA, USA, May 2019. Page: 2623 - 2629.

[C18] Public Sphere 2.0: Targeted Commenting in Online News Media

Ankan Mullick, Sayan Ghosh, Ritam Dutt, Avijit Ghosh, and Abhijnan Chakraborty.
In proceedings of 41st European Conference on Information Retrieval (ECIR), Cologne, Germany, April 2019. Page: 180 - 187.
Best Poster Award

[C17] Equality of Voice: Towards Fair Representation in Crowdsourced Top-K Recommendations

Abhijnan Chakraborty, Gourab K Patro, Niloy Ganguly, and Krishna P. Gummadi.
In proceedings of ACM Conference on Fairness, Accountability, and Transparency (FAT*), Atlanta, GA, USA, January 2019. Page: 129 - 138.

[C16] Analyzing Biases in Perception of Truth in News Stories and their Implications for Fact Checking

Mahmoudreza Babaei, Abhijnan Chakraborty, Juhi Kulshrestha, Elissa M. Redmiles, Meeyoung Cha, and Krishna P. Gummadi.
In ACM Conference on Fairness, Accountability, and Transparency (FAT*), Atlanta, GA, USA, January 2019.
[Non-archival full paper, only abstract in the proceedings.]

2018

[J1/C15] 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, Volume 1, Issue (CSCW), November 2017. Page: 30:1 - 30:21.
Presented at 21st ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW), New York City, NY, USA, November 2018.

[C14] Analyzing the News Coverage of Personalized Newspapers

Abhijnan Chakraborty, and Niloy Ganguly.
In proceedings of IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Barcelona, Spain, August 2018. Page: 540 - 543.

[C13] 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 proceedings of 12th International AAAI Conference on Web and Social Media (ICWSM), Stanford, CA, USA, June 2018. Page: 290 - 299.

[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.

[C12] Editorial Algorithms: Optimizing Recency, Relevance and Diversity for Automated News Curation

Abhijnan Chakraborty, Mohammad Luqman, Sidhartha Satapathy, and Niloy Ganguly.
In companion volume of The Web Conference 2018 (WWW), Lyon, France, April 2018. Page: 77 - 78.

[C11] 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 proceedings of 1st AAAI/ACM conference on Artificial Intelligence, Ethics and Society (AIES), New Orleans, USA, February 2018. Page: 10 - 16.

2017

[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.

[C10] LMPP: A Large Margin Point Process Combining Reinforcement and Competition for Modeling Hashtag Popularity

Bidisha Samanta, Abir De, Abhijnan Chakraborty, and Niloy Ganguly.
In proceedings of 26th International Joint Conference on Artificial Intelligence (IJCAI), Melbourne, Australia, August 2017. Page: 2679 - 2685.

[C9] Who Makes Trends? Understanding Demographic Biases in Crowdsourced Recommendations

Abhijnan Chakraborty, Johnnatan Messias, Fabricio Benevenuto, Saptarshi Ghosh, Niloy Ganguly and Krishna P. Gummadi.
In proceedings of 11th AAAI International Conference on Web and Social Media (ICWSM), Montreal, Canada, May 2017. Page: 22 - 31.

[C8] Optimizing the Recency-Relevancy Trade-off in Online News Recommendations

Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly and Krishna P. Gummadi.
In proceedings of 26th International World Wide Web Conference (WWW), Perth, Australia, April 2017. Page: 837 - 846.

2016

[C7] Stop Clickbait: Detecting and Preventing Clickbaits in Online News Media

Abhijnan Chakraborty, Bhargavi Paranjape, Sourya Kakarla, and Niloy Ganguly.
In proceedings of 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), San Francisco, CA, USA, August 2016. Page: 9 - 16.
Best Student Paper Award

Code       Dataset

[C6] 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 proceedings of 10th AAAI International Conference on Web and Social Media (ICWSM), Cologne, Germany, May 2016. Page: 559 - 562.

[C5] 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 companion proceedings of 19th ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW), San Francisco, CA, USA, February 2016. Page: 405 - 408.

2015

[W1] Can Trending News Stories Create Coverage Bias? On the Impact of High Content Churn in Online News Media

Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly, and Krishna P. Gummadi.
In Computation + Journalism Symposium, New York City, NY, USA, October 2015.

[C4] #FewThingsAboutIdioms: Understanding Idioms and its Users in the Twitter Online Social Network

Koustav Rudra, Abhijnan Chakraborty, Manav Sethi, Shreyasi Das, Niloy Ganguly, and Saptarshi Ghosh.
In 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Ho Chi Minh City, Vietnam, May 2015. Page: 108 - 121.

2013

[C3] Coordinating Cellular Background Transfers using LoadSense

Abhijnan Chakraborty, Vishnu Navda, Venkata N. Padmanabhan, and Ramachandran Ramjee.
In proceedings of 19th ACM Conference on Mobile Computing and Networking (MobiCom), Miami, FL, USA, October 2013. Page: 63 - 74.

2012

[C2] Detecting Overlapping Communities in Folksonomies

Abhijnan Chakraborty, Saptarshi Ghosh, and Niloy Ganguly.
In proceedings of 23rd ACM Conference on Hypertext and Social Media (HT), Milwaukee, WI, USA, June 2012. Page: 213 - 218.

2010

[C1] Tuning Holdoff Exponents for Performance Optimization in IEEE 802.16 Mesh Distributed Coordinated Scheduler

Sandip Chakraborty, Debarshi Kumar Sanyal, Abhijnan Chakraborty, Abhirup Ghosh, Samiran Chattopadhyay, and Matangini Chattopadhyay.
In proceedings of 2nd International Conference on Computer and Automation Engineering (ICCAE), Singapore, July 2010. Page: 256 - 260.