activity
20132020
most citedAuditing Search Engines for Differential Satisfaction Across Demographics

70 citations · 140 across the 6 of their papers we have counts for

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7 papers · 1 filter

cs.SI202019 cited

Bursts of Activity: Temporal Patterns of Help-Seeking and Support in Online Mental Health Forums

Taisa Kushner, Amit Sharma

Recent years have seen a rise in social media platforms that provide peer-to-peer support to individuals suffering from mental distress. Studies on the impact of these platforms ha…

cs.SI20206 cited

Engagement Patterns of Peer-to-Peer Interactions on Mental Health Platforms

Ashish Sharma, Monojit Choudhury, Tim Althoff +1

Mental illness is a global health problem, but access to mental healthcare resources remain poor worldwide. Online peer-to-peer support platforms attempt to alleviate this fundamen…

cs.SI2016

Averaging Gone Wrong: Using Time-Aware Analyses to Better Understand Behavior

Samuel Barbosa, Dan Cosley, Amit Sharma +1

Online communities provide a fertile ground for analyzing people's behavior and improving our understanding of social processes. Because both people and communities change over tim…

cs.SI2016

Distinguishing between Personal Preferences and Social Influence in Online Activity Feeds

Amit Sharma, Dan Cosley

Many online social networks thrive on automatic sharing of friends' activities to a user through activity feeds, which may influence the user's next actions. However, identifying s…

cs.SI2016

Predictability of Popularity: Gaps between Prediction and Understanding

Benjamin Shulman, Amit Sharma, Dan Cosley

Can we predict the future popularity of a song, movie or tweet? Recent work suggests that although it may be hard to predict an item's popularity when it is first introduced, peeki…

cs.SI20139 cited

Friends, Strangers, and the Value of Ego Networks for Recommendation

Amit Sharma, Mevlana Gemici, Dan Cosley

Two main approaches to using social network information in recommendation have emerged: augmenting collaborative filtering with social data and algorithms that use only ego-centric…