activity
20152025
most citedFrom Parity to Preference-based Notions of Fairness in Classification

108 citations · 320 across the 24 of their papers we have counts for

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Showing cs.SIShow all

11 papers · 1 filter

cs.SI2024

TikTok and the Art of Personalization: Investigating Exploration and Exploitation on Social Media Feeds

Karan Vombatkere, Sepehr Mousavi, Savvas Zannettou +2

Recommendation algorithms for social media feeds often function as black boxes from the perspective of users. We aim to detect whether social media feed recommendations are persona…

cs.SI20225 cited

"Learn the Facts About COVID-19": Analyzing the Use of Warning Labels on TikTok Videos

Chen Ling, Krishna P. Gummadi, Savvas Zannettou

During the COVID-19 pandemic, health-related misinformation and harmful content shared online had a significant adverse effect on society. To mitigate this adverse effect, mainstre…

cs.SI2020

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

Gourab K Patro, Abhijnan Chakraborty, Niloy Ganguly +1

The (COVID-19) pandemic-induced restrictions on travel and social gatherings have prompted most conference organizers to move their events online. However, in contrast to physical…

cs.SI2019

Minimizing Margin of Victory for Fair Political and Educational Districting

Ana-Andreea Stoica, Abhijnan Chakraborty, Palash Dey +1

In many practical scenarios, a population is divided into disjoint groups for better administration, e.g., electorates into political districts, employees into departments, student…

cs.SI2019

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

Gourab K Patro, Abhijnan Chakraborty, Niloy Ganguly +1

Major online platforms today can be thought of as two-sided markets with producers and customers of goods and services. There have been concerns that over-emphasis on customer sati…

cs.SI2018

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

Abhijnan Chakraborty, Gourab K Patro, Niloy Ganguly +2

To help their users to discover important items at a particular time, major websites like Twitter, Yelp, TripAdvisor or NYTimes provide Top-K recommendations (e.g., 10 Trending Top…