Publications

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The Stability of Economic Correlations over Time: Identifying Conditions under Which Survey Tracking Polls and Twitter Sentiment Yield Similar Conclusions
The Stability of Economic Correlations over Time: Identifying Conditions under Which Survey Tracking Polls and Twitter Sentiment Yield Similar Conclusions
with Yan, H.Y., Conrad, F.G., Newport, F., & Marken, S. (2018). Public Opinion Quarterly 82 (3), 470-492. https://doi.org/10.1093/poq/nfy030 Read more
Motivations for Participation in an Online Social Media Community for Diabetes
Motivations for Participation in an Online Social Media Community for Diabetes
with Gebremariam, A., Lewis, D., Nordgren, W., Wedding, J., Garrity, A., Hirschfeld, E., & Lee, J.M. (2018). Journal of Diabetes Science and Technology, 12(3). https://doi.org/10.1177/1932296817749611 Read more
It’s not my consensus: Motivated reasoning and the sources of scientific illiteracy
It’s not my consensus: Motivated reasoning and the sources of scientific illiteracy
2018. Public Understanding of Science, 27(7). doi: 10.1177/0963662517733681 Read more
Negativity and Positivity Biases in Economic News Coverage: Traditional vs. Social Media
Negativity and Positivity Biases in Economic News Coverage: Traditional vs. Social Media
with Stuart N. Soroka, Mark Daku, Dan Hiaeshutter-Rice, and Lauren Guggenheim. 2018. Communication Research, 45(7). doi: 10.1177/0093650217725870 Read more
Perceptions of health risks of cigarette smoking: A new measure reveals widespread misunderstanding
Perceptions of health risks of cigarette smoking: A new measure reveals widespread misunderstanding
with Jon A. Krosnick, Neil Malhotra, Cecilia H. Mo, Edward F. Bruera, LinChiat Chang, and Randall K. Thomas. 2017. PLoS One 12(8). e0182063. Read more
Motivated Reasoning in Perceived Credibility of Public Opinion Polls
Motivated Reasoning in Perceived Credibility of Public Opinion Polls
with Ozan Kuru and Michael W. Traugott. 2017. Public Opinion Quarterly. 81(2) 422-446. Read more
Real-World Use and Self-Reported Health Outcomes of a Patient-Designed Do-it-Yourself Mobile Technology System for Diabetes: Lessons for Mobile Health
Real-World Use and Self-Reported Health Outcomes of a Patient-Designed Do-it-Yourself Mobile Technology System for Diabetes: Lessons for Mobile Health
with Joyce M. Lee, Mark W. Newman, Achamyeleh Gebremariam, Preciosa Choi, Dana Lewis, Weston Nordgren, John Costik, James Wedding, Benjamin West, Nancy Benovich Gilby, Christopher Hannemann, Ashley Read more
Understanding and measuring mobile Facebook use
Understanding and measuring mobile Facebook use
with Ozan Kuru, Joseph Bayer, & Scott W. Campbell (2017). Mobile Media and Communication, 5(1) 102-120. https://doi.org/10.1177/2050157916678269 Read more
Improving social media measurement in surveys: Avoiding acquiescence bias in Facebook research
Improving social media measurement in surveys: Avoiding acquiescence bias in Facebook research
with Ozan Kuru. Computers in Human Behavior 57, 82-92. http://dx.doi.org/10.1016/j.chb.2015.12.008 Read more
Explaining the Diversity Deficit: Value-Trait Consistency in News Exposure and Democratic Citizenship
Explaining the Diversity Deficit: Value-Trait Consistency in News Exposure and Democratic Citizenship
with Kim, D.H. (2020). Communication Research 47 (1). 24-59. 10.1177/0093650216644647. Read more
Racial Attitudes Predicted Changes in Ostensibly Race-Neutral Political Attitudes under the Obama Administration
Racial Attitudes Predicted Changes in Ostensibly Race-Neutral Political Attitudes under the Obama Administration
with Kristjen Lundberg, B. Keith Payne, and Jon A. Krosnick. Forthcoming. Political Psychology 38(2) 313-330. doi: 10.1111/pops.12315. Read more
Social media analyses for social measurement
Social media analyses for social measurement
with Michael Schober, Lauren Guggenheim, Frederick G. Conrad, and Cliff Lampe. 2016. Public Opinion Quarterly. 80 (1): 180-211. doi: 10.1093/poq/nfv048. Read more
Misinformed About the Affordable Care Act? Leveraging Certainty to Assess the Prevalence of Misperceptions
Misinformed About the Affordable Care Act? Leveraging Certainty to Assess the Prevalence of Misperceptions
with Gaurav Sood and Jon A. Krosnick. 2015. Journal of Communication 65(4), 660-673. doi:10.1111/jcom.12165 Read more
When Will Nonprobability Surveys Mirror Probability Surveys? Considering Types of Inference and Weighting Strategies as Criteria for Correspondence
When Will Nonprobability Surveys Mirror Probability Surveys? Considering Types of Inference and Weighting Strategies as Criteria for Correspondence
(2016).  International Journal of Public Opinion Research. 28 (2), 269-291. doi: 10.1093/ijpor/edv016 Read more
Assessing the carrying capacity of Twitter and online news
Assessing the carrying capacity of Twitter and online news
with S. Mo Jang. 2015. Mass Communication and Society 18(5), 577-598. Read more
Following and Predicting Elections: Tracking the Tools to Pool the Polls
Following and Predicting Elections: Tracking the Tools to Pool the Polls
2015. Public Opinion Quarterly 79(2) 594-619. doi: 10.1093/poq/nfu060. Read more
What motivates a conspiracy theory? Birther beliefs, partisanship, liberal-conservative ideology, and anti-Black attitudes
What motivates a conspiracy theory? Birther beliefs, partisanship, liberal-conservative ideology, and anti-Black attitudes
with Tobias H. Stark, Jon A. Krosnick, Trevor Tompson. Forthcoming. (2015). Electoral Studies 40. 482-489.  doi: 10.1016/j.electstud.2014.09.009. Read more
Social Media in Public Opinion Research: Executive Summary of the Aapor Task Force on Emerging Technologies in Public Opinion Research
Social Media in Public Opinion Research: Executive Summary of the Aapor Task Force on Emerging Technologies in Public Opinion Research
with Joe Murphy, Michael W. Link, Jennifer Hunter Childs, Casey Langer Tesfaye, Elizabeth Dean, Michael Stern, Jon Cohen, Mario Callegaro, and Paul Harwood. 2014. Public Read more
Can Marketing Data Aid Survey Research? Examining Accuracy and Completeness in Consumer File Data
Can Marketing Data Aid Survey Research? Examining Accuracy and Completeness in Consumer File Data
with S. Mo Jang, Curtiss L. Cobb III, J. Michael Dennis, and Charles DiSogra. 2014. Public Opinion Quarterly 78(4) 889-916. doi: 10.1093/poq/nfu043. Read more
Prevalence and Moderators of the Candidate Name-Order Effect: Evidence from Statewide General Elections in California
Prevalence and Moderators of the Candidate Name-Order Effect: Evidence from Statewide General Elections in California
with Daniel Schneider, Jon A. Krosnick, Alexander Tahk, Eyal Ophir and Claire Milligan. 2014. Public Opinion Quarterly 78, 416-439. doi: 10.1093/poq/nfu013. Read more

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