Professor in Political Science and Computer and Information Science

David Lazer

Research Tracks Overview

Journal Article
Publication date: 
05/2017
Authors: 
Philipp Hunziker
Lars-Erik Cederman

"A large body of literature claims that oil production increases the risk of civil war. However, a growing number of skeptics argue that the oil-conflict link is not casual, but merely an artifact of flawed research designs. This article reevaluates whether - and where - oil causes conflict by employing a novel identification strategy based on the geological determinants of hydrocarbon reserves.

OP ED
Publication date: 
05/2017

We know a lot about fake news. It's an old problem. Academics have been studying it - and how to combat it - for decades. In 1925, Harper's Magazine published "Fake News and the Public," calling it's spread via new communication technoloies "a source of unprecedented dange."

Peer Reviewed Computer Science Conference
Publication date: 
05/2017
Authors: 
Oren Tsur
David Lazer

Understanding the factors of network formation is a fundamental aspect in the study of social dynamics. Online activity provides us with abundance of data that allows us to reconstruct and study social networks. Statistical inference methods are often used to study network formation. Ideally, statistical inference allows the researcher to study the significance of specific factors to the network formation.

Peer Reviewed Computer Science Conference
Publication date: 
05/2017
Authors: 
Will Hobbs
Lisa Friedland
Kenneth Joseph
Oren Tsur
Stefan J. Wojcik
David Lazer

Over the past 12 years, nearly 20 U.S. States have adopted voter photo identification laws, which require voters to show a picture ID to vote. These laws have been challenged in numerous lawsuits, resulting in a variety of court decisions and, in several instances, revised legislation.

Peer Reviewed Computer Science Conference
Publication date: 
08/2017
Authors: 
John Wihbey
Kenneth Joseph
Thalita Dias Coleman
David Lazer

The present work proposes the use of social media as a tool for better understanding the relationship between a journalists' social network and the content they produce. Specifically, we ask: what is the relationship between the ideological leaning of a journalist's social network on Twitter and the news content he or she produces?

Keywords: 
Twitter
journalism
filter bubble
echo chambers
computational social science
Peer Reviewed Computer Science Conference
Publication date: 
09/2017
Authors: 
Kenneth Joseph
Lisa Friedland
Will Hobbs
David Lazer
Oren Tsur

Manual annotations are a prerequisite for many applications of machine learning. However, weaknesses in the annotation process itself are easy to overlook. In particular, scholars often choose what information to give to annotators without examining these decisions empirically. For subjective tasks such as sentiment analysis, sarcasm, and stance detection, such choices can impact results.

Journal Article
Publication date: 
08/2017

Many companies have proprietary resources and/or data that are indispensable for research, and academics provide the creative fuel for much early-stage research that leads to industrial innovation. It is essential to the health of the research enterprise that collaborations between industrial and university researchers flourish. This system of collaboration is under strain.

Journal Article
Publication date: 
11/2017
Authors: 
Yu-Ru Lin
Ryan P. Kennedy
David Lazer

We examine the social antecedents of contributing to campaigns, with a particular focus on the role of population density and social networking opportunities.

Keywords: 
Fundraising
social networks
campaigns
spatial models

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