May 17, 2016

Lost in Propagation? Unfolding News Cycles from the Source


In this work, we pinpoint the information source of an event in the form of a press release and investigate how its news cycle unfolds.

Chenhao Tan, Adrien Friggeri, Lada Adamic
May 14, 2016

The Shortest Path is not Always a Straight Line. Leveraging Semi-Metricity in Graph Analysis.

VLDB 2016

This paper leverages the concept of the metric backbone to improve the efficiency of large-scale graph analytics.

Dionysios Logothetis
May 7, 2016

Changes in Engagement Before and After Posting to Facebook

CHI 2016

We are interested in the ways in which posting content changes individuals’ engagement with Facebook. The study augments previous knowledge about uses and gratifications from posting on social network sites by focusing on short-term activity of contributors.

Nir Grinberg, Alex Dow, Lada Adamic, Mor Naaman
May 7, 2016

Legacy Contact: Designing and Implementing Stewardship at Facebook

CHI 2016

In this paper we describe Legacy Contact, a new feature that better supports people coping with the death of a loved one on Facebook while giving people more control over what happens to their Facebook account in the future.

Jed R. Brubaker, Vanessa Callison-Burch
May 7, 2016

Finexus: Tracking Fingertips Using Four Magnetometers

CHI 2016

We built a system to magnetically track the fingertips in order to bring hands into VR. It works by instrumenting electromagnets at the tips of the finger; the system is able to track the delicate movements in real time using only four magnetic sensors.

Ke-Yu Chen, Shwetak Patel, Sean Keller
May 2, 2016

Deep Multi-Scale Video Prediction Beyond Mean Square Error

ICLR 2016

The paper is about predicting future frames in video sequences given the previous frames.

Michael Mathieu, Camille Couprie, Yann LeCun
May 2, 2016

Predicting Distributions with Linearizing Belief Networks

ICLR 2016: International Conference on Learning Representation

This work introduces a new family of networks called linearizing belief nets or LBNs.

David Grangier
May 2, 2016

Metric Learning with Adaptive Density Discrimination


Distance metric learning approaches learn a transformation to a representation space in which distance is in correspondence with a predefined notion of similarity.

Oren Rippel, Manohar Paluri, Piotr Dollar, Lubomir Bourdev
April 19, 2016

Evaluating Prerequisite Qualities for Learning End-to-end Dialog Systems

ICLR 2016

An approach for testing the abilities of conversational agents using question-answering over a knowledge base, personalized recommendations, and natural conversation.

Jesse Dodge, Andreea Gane, Xiang Zhang, Antoine Bordes, Sumit Chopra, Alexander Miller, Arthur Szlam, Jason Weston
April 13, 2016

Abstractive Summarization with Attentive RNN – NAACL 2016

NAACL 2016

Abstractive sentence summarization generates a shorter version of a given sentence while attempting to preserve its meaning. We introduce a conditional recurrent neural network (RNN) which generates a summary of an input sentence.

Sumit Chopra, Michael Auli, Alexander M. Rush
April 12, 2016

Performance of Regression-Based Precoding for Multi-User Massive MIMO-OFDM Systems.

EURASIP Journal on Advances in Signal Processing

We study the performance of a single-cell massive multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) system.

Ali Yazdan Panah, Karthik Yogeeswaran, Yael Maguire
April 11, 2016

Do Cascades Recur?

WWW 2016

Beyond a certain popularity of content, the rate of recurrence drops as cascades start exhausting the population of interested individuals. We reproduce these observed patterns in a simple model of content recurrence simulated on a real social network.

Justin Cheng, Lada Adamic, Jon Kleinberg, Jure Leskovec
April 11, 2016

People and Cookies: Imperfect Treatment Assignment in Online Experiments

WWW 2016

Identifying the same internet user across devices or over time is often infeasible. This presents a problem for online experiments, as it precludes person-level randomization. Randomization must instead be done using imperfect proxies for people, like cookies, email addresses or device identifiers.

Dominic Coey, Michael Bailey
April 11, 2016

Discovery of Topical Authorities in Instagram

WWW 2016

In this paper, we present a novel approach that we call the Authority Learning Framework (ALF) to find topical authorities in Instagram.

Aditya Pal, Amaç Herdağdelen, Sourav Chatterji, Sumit Taank, Deepayan Chakrabarti
April 1, 2016

The Goldilocks Principle: Reading Children’s Books with Explicit Memory Representations

ICLR 2016

We introduce a new test of how well language models capture meaning in children’s books.

Felix Hill, Antoine Bordes, Sumit Chopra, Jason Weston
March 23, 2016

Social Networks and Housing Markets


We document that the recent house price experiences within an individual’s social network affect her perceptions of the attractiveness of property investments, and through this channel have large effects on her housing market activity.

Michael Bailey, Ruiqing Cao, Theresa Kuchler, Johannes Stroebel
March 15, 2016

Social Hash: an Assignment Framework for Optimizing Distributed Systems Operations on Social Networks

USINEX Symposium on Networked Systems Design and Implementation (NSDI 2016)

We describe the social hash framework, which uses graph partitioning techniques to improve the performance of systems within Facebook. We highlight two applications: 1. how routing similar users to the same web cluster improves our cache performance, 2. how co-locating socially similar data on the same host improves the performance of data serving systems.

Alon Shalita, Brian Karrer, Igor Kabiljo, Arun Sharma, Aaron Adcock, Alessandro Presta, Herald Kllapi, Michael Stumm
March 8, 2016

Two-Axis Gimbal for Air-to-Air and Air-to-Ground Laser Communications


For bi-directional links between high-altitude-platforms (HAPs) and ground, and air-to-air communication between such platforms, a hemispherical +30° field-of-regard and low-drag low-mass two-axis gimbal was designed and prototyped.

Amnon Talmor, Harvard K Harding Jr, Chien-Chung Chen
February 27, 2016

Modeling Self-Disclosure in Social Networking Sites


Social networking sites (SNSs) offer users a platform to build and maintain social connections. Understanding when people feel comfortable sharing information about themselves on SNSs is critical to a good user experience, because self-disclosure helps maintain friendships and increase relationship closeness.

Yi-Chia Wang, Moira Burke, Robert Kraut
February 27, 2016

How Blind People Interact with Visual Content on Social Networking Services

Computer-Supported Cooperative Work and Social Computing

In this paper, we explore blind people’s motivations, challenges, interactions, and experiences with visual content on Social Networking Services (SNSs). We present findings from an interview study of 11 individuals and a survey study of 60 individuals, all with little to no functional vision.

Violeta Voykinska, Shiri Azenkot, Shaomei Wu, Gilly Leshed