98 Results
November 3, 2018
The Effect of Computer-Generated Descriptions on Photo-Sharing Experiences of People with Visual Impairments
Conference on Computer-Supported Cooperative Work and Social Computing (CSCW)
Like sighted people, visually impaired people want to share photographs on social networking services, but find it difficult to identify and select photos from their albums. We aimed to address this problem by incorporating state-of-the-art computer-generated descriptions into Facebook’s photo-sharing feature.
By: Yuhang Zhao, Shaomei Wu, Lindsay Reynolds, Shiri Azenkot
Human Computer Interaction & UX June 25, 2018
Do Diffusion Protocols Govern Cascade Growth?
International AAAI Conference on Web and Social Media (ICWSM)
Large cascades can develop in online social networks as people share information with one another. Though simple reshare cascades have been studied extensively, the full range of cascading behaviors on social media is much more diverse. Here we study how diffusion protocols, or the social exchanges that enable information transmission, affect cascade growth, analogous to the way communication protocols define how information is transmitted from one point to another.
By: Justin Cheng, Jon Kleinberg, Jure Leskovec, David Liben-Nowell, Bogdan State, Karthik Subbian, Lada Adamic
Data Science June 25, 2018
“I’m Never Happy with What I Write”: Challenges and Strategies of People with Dyslexia on Social Media
International Conference on Web and Social Media
This work studies the experiences, challenges, and strategies of people with dyslexia when using social media. We interviewed 11 people with dyslexia to understand their general experiences with reading and writing content on Facebook. The interview study findings highlight the challenges they face when writing content on Social Networking Sites (SNSs), and their strategies for mitigating these challenges.
By: Lindsay Reynolds, Shaomei WuApril 21, 2018
A Face Recognition Application for People with Visual Impairments: Understanding Use Beyond the Lab
Conference on Human Factors in Computing Systems (CHI)
We present Accessibility Bot, a research prototype bot on Facebook Messenger, which leverages state-of-the-art computer vision algorithms and the existing set of tagged photos of a user’s friends on Facebook to help people with visually impairments recognize their friends.
By: Yuhang Zhao, Shaomei Wu, Lindsay Reynolds, Shiri Azenkot
Data Science December 15, 2017
Mapping the world population one building at a time
ArXive
Here, we present a computer vision method based on machine learning to create population maps from satellite imagery at a global scale, with a spatial sensitivity corresponding to individual buildings and suitable for global deployment.
By: Tobias Tiecke, Xianming Liu, Amy Zhang, Andreas Gros, Nan Li, Gregory Yetman, Talip Kilic, Siobhan Murray
Computer Vision 
Connectivity 
Machine Learning December 10, 2017
Social Structure and Trust in Massive Digital Markets
International Conference on Information Systems (ICIS)
In this paper we measure the extent to which situating transactions in networks can generate trust in online marketplaces with an empirical approach that provides external validity while eliminating many potential confounds.
By: David Holtz, Diana Lynn MacLean, Sinan Aral
Data Science August 28, 2017
Social Hash Partitioner: A Scalable Distributed Hypergraph Partitioner
Very Large Data Bases Conference (VLDB)
We design and implement a distributed algorithm for balanced k-way hypergraph partitioning that minimizes fanout, a fundamental hypergraph quantity also known as the communication volume and (k − 1)-cut metric, by optimizing a novel objective called probabilistic fanout. This choice allows a simple local search heuristic to achieve comparable solution quality to the best existing hypergraph partitioners.
By: Igor Kabiljo, Brian Karrer, Mayank Pundir, Sergey Pupyrev, Alon Shalita
Data Science
Systems & Networking July 24, 2017
Untagging on Social Media: Who Untags, What do they Untag, and Why?
Journal: Computers in Human Behavior
Using de-identified, aggregated behavioral data from Facebook and a survey of 802 people, this paper aims to explore untagging by asking whether untagging occurs similarly to other self-presentation behavior and how people view this strategy.
By: Jeremy Birnholt, Moira Burke, Annie SteeleJuly 10, 2017
House Price Beliefs and Mortgage Leverage Choice
National Bureau of Economic Researcher (NBER)
We study the the relationship between homebuyers’ beliefs about future house price changes and their mortgage leverage choices.
By: Michael Bailey, Eduardo Dávila, Theresa Kuchler, Johannes Stroebel
Data Science June 22, 2017
Is smoke on your mind? Using social media to assess smoke exposure
Journal: Atmospheric Chemistry and Physics Discussions
In this work, we explore using daily social media posts from Facebook regarding smoke, haze, and air quality to assess population-level exposure for the summer of 2015 in the western US. We compare this de-identified, aggregated Facebook dataset to several other datasets that are commonly used for estimating exposure, such as satellite observations (MODIS aerosol optical depth and Hazard Mapping System smoke plumes), daily (24 h) average surface particulate matter measurements, and model-simulated (WRF-Chem) surface concentrations.
By: Bonne Ford, Moira Burke, William Lassman, Gabriele Pfister, Jeffrey R. Pierce
Data Science