All Research Areas
Research Areas
Year Published

99 Results

August 11, 2013

Representing Documents Through Their Readers

ACM Conference on Knowledge Discovery and Data Mining (KDD)

From Twitter to Facebook to Reddit, users have become accustomed to sharing the articles they read with friends or followers on their social networks. While previous work has modeled what these shared stories say about the user who shares them, the converse question remains unexplored: what can we learn about an article from the identities of its likely readers?

By: Khalid El-Arini, Min Xu, Emily Fox, Carlos Guestrin
August 11, 2013

MI2LS: Multi-Instance Learning from Multiple Information Sources

ACM Conference on Knowledge Discovery and Data Mining (KDD)

In Multiple Instance Learning (MIL), each entity is normally expressed as a set of instances. Most of the current MIL methods only deal with the case when each instance is represented by one type of f…

By: Dan Zhang, Jingrui He, Richard Lawrence
July 16, 2013

Selection Effects in Online Sharing: Consequences for Peer Adoption

ACM Conference on Electronic Commerce (EC)

Most models of social contagion take peer exposure to be a corollary of adoption, yet in many settings, the visibility of one’s adoption behavior happens through a separate decision process. In online systems, product designers can define how peer exposure mechanisms work: adoption behaviors can be shared in a passive, automatic fashion, or occur through explicit, active sharing.

By: Sean J. Taylor, Eytan Bakshy, Sinan Aral
July 9, 2013

Calling All Facebook Friends: Exploring requests for help on Facebook

AAAI Conference on Weblogs and Social Media (ICWSM)

Past research suggests Facebook use is linked to perceptions of social capital, a concept that taps into the resources people gain from interactions with their social network. In this study, we examin…

By: Nicole Ellison, Rebecca Gray, Jessica Vitak, Cliff Lampe, Andrew Tresolini Fiore
July 8, 2013

Families on Facebook

AAAI Conference on Weblogs and Social Media (ICWSM)

This descriptive study of millions of US Facebook users documents “friending” and communication patterns, exploring parent-child relationships across a variety of life stages and gender combinations.

By: Moira Burke, Lada Adamic, Karyn Marciniak
July 8, 2013

The Anatomy of Large Facebook Cascades

AAAI Conference on Weblogs and Social Media (ICWSM)

When users post photos on Facebook, they have the option of allowing their friends, followers, or anyone at all to subsequently reshare the photo. A portion of the billions of photos posted to Facebook generates cascades of reshares, enabling many additional users to see, like, comment, and reshare the photos.

By: Alex Dow, Lada Adamic, Adrien Friggeri
July 2, 2013

Self-censorship on Facebook

AAAI Conference on Weblogs and Social Media (ICWSM)

We report results from an exploratory analysis examining “last-minute” self-censorship, or content that is filtered after being written, on Facebook. We collected data from 3.9 mil-lion users over 17 days and associate self-censorship behavior with features describing users, their social graph, and the interactions between them.AAAI Conference on Weblogs and Social Media (ICWSM)

By: Sauvik Das, Adam D. I. Kramer
May 13, 2013

CopyCatch: Stopping Group Attacks by Spotting Lockstep Behavior in Social Networks

International World Wide Web Conference (WWW)

In this paper we focus on the social network Facebook and the problem of discerning ill-gotten Page Likes, made by spammers hoping to turn a profit, from legitimate Page Likes. Our method, which we refer to as CopyCatch, detects lockstep Page Like patterns on Facebook by analyzing only the social graph between users and Pages and the times at which the edges in the graph (the Likes) were created.

By: Alex Beutel, Tom Wanhong Xu, Venkatesan Guruswami, Christopher Palow, Christos Faloutsos
May 13, 2013

Subgraph Frequencies: Mapping the Empirical and Extremal Geography of Large Graph Collections

International World Wide Web Conference (WWW)

A growing set of on-line applications are generating data that can be viewed as very large collections of small, dense social graphs – these range from sets of social groups, events, or collaboration projects to the vast collection of graph neighborhoods in large social networks.

By: Johan Ugander, Lars Backstrom, Jon Kleinberg
April 27, 2013

Gender, Topic, and Audience Response: An Analysis of User-Generated Content on Facebook

ACM Conference on Human Factors in Computing Systems (CHI)

Although users generate a large volume of text on Facebook every day, we know little about the topics they choose to talk about, and how their network responds. Using Latent Dirichlet Allocation (LDA)…

By: Yi-Chia Wang, Moira Burke, Robert Kraut