Professor in Political Science and Computer and Information Science

David Lazer

social media

Journal Article
Publication date: 
08/2015
Authors: 
Drew B. Margolin
Brian Keegan
Sasha Goodman
Yu-Ru Lin
David Lazer

The use of socio-technical data to predict elections is a growing research area. We argue that election prediction research suffers from under-specified theoretical models that do not properly distinguish between 'poll-like' and 'prediction market-like' mechanisms understand findings.

Keywords: 
election prediction
crowdsourcing
Wikipedia
politics
social media
communication studies
Peer Reviewed Computer Science Conference
Publication date: 
10/2012
Authors: 
Nan Cao
Yu-Ru Lin
Xiaohua Sun
David Lazer
Shixia Liu
Huamin Qu

When and where is an idea dispersed? Social media, like Twitter, has been increasingly used for exchanging information, opinions and emotions about events that are happening across the world. Here we propose a novel visualization design, "Whisper," for tracing the process of information diffusion in social media in real time.

Keywords: 
spatiotemporal patterns
Information visualization
information diffusion
contagion
social media
microblogging
Peer Reviewed Computer Science Conference
Publication date: 
02/2013
Authors: 
Yu-Ru Lin
Drew B. Margolin
Brian Keegan
Mauro Martino
Sasha Goodman
David Lazer

In this interactive poster, we describe a system we designed for identifying and tracking the behavior of distinct audiences in social media streams.

Keywords: 
social media
real-time analysis
audience behavior
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