Michael Traugott

University of Michigan

H-index: 42

North America-United States

About Michael Traugott

Michael Traugott, With an exceptional h-index of 42 and a recent h-index of 20 (since 2020), a distinguished researcher at University of Michigan, specializes in the field of voting behavior, campaigns, political communication, media and politics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Survey Climate and Trust in Scientific Surveys

When Pundits Weigh In: Do Expert and Partisan Critiques in News Reports Shape Ordinary Individuals’ Interpretations of Polls?

Modeling considerations for quantitative social science research using social media data

Data acquisition, sampling, and data preparation considerations for quantitative social science research using social media data

Analysis and visualization considerations for quantitative social science research using social media data

Study designs for quantitative social science research using social media

Data Blending

When polls disagree: How competitive results and methodological quality shape partisan perceptions of polls and electoral predictions

Michael Traugott Information

University	University of Michigan
Position	Professor of Communication Studies
Citations(all)	7831
Citations(since 2020)	1570
Cited By	7150
hIndex(all)	42
hIndex(since 2020)	20
i10Index(all)	89
i10Index(since 2020)	33
Email	Access Email
University Profile Page	University of Michigan
Google Scholar	View Google Scholar Profile

Michael Traugott Skills & Research Interests

voting behavior

campaigns

political communication

media and politics

Top articles of Michael Traugott

Title	Journal	Author(s)	Publication Date
Survey Climate and Trust in Scientific Surveys	Survey Research Methods	Henning Silber Bettina Langfeldt Bella Struminskaya Michael Traugott	2022/12/10
When Pundits Weigh In: Do Expert and Partisan Critiques in News Reports Shape Ordinary Individuals’ Interpretations of Polls?	Mass Communication and Society	Ozan Kuru Josh Pasek Michael Traugott	2020
Modeling considerations for quantitative social science research using social media data		Ceren Budak Stuart Soroka Lisa Singh Michael Bailey Leticia Bode ...	2021/5/17
Data acquisition, sampling, and data preparation considerations for quantitative social science research using social media data		Zeina Mneimneh Josh Pasek Lisa Singh Rachel Best Leticia Bode ...	2021/3/15
Analysis and visualization considerations for quantitative social science research using social media data		Brad Jensen Lisa Singh Pamela Davis-Kean Katharine Abraham Paul Beatty ...	2021/7/28
Study designs for quantitative social science research using social media		Leticia Bode Pamela Davis-Kean Lisa Singh Tanya Berger-Wolf Ceren Budak ...	2020/7/1
Data Blending		Lisa Singh Michael Traugott Leticia Bode Ceren Budak Pamela E Davis-Kean ...	2020/4
When polls disagree: How competitive results and methodological quality shape partisan perceptions of polls and electoral predictions	International Journal of Public Opinion Research	Ozan Kuru Josh Pasek Michael Traugott	2019
Measurement considerations for quantitative social science research using social media data		Jonathan Ladd Rebecca Ryan Lisa Singh Leticia Bode Ceren Budak ...	2020/12/23
Attention to Campaign Events: Do Twitter and Self‐Report Metrics Tell the Same Story?	Big data meets survey science: a collection of innovative methods	Josh Pasek Lisa O Singh Yifang Wei Stuart N Soroka Jonathan M Ladd ...	2020/10/13