All Stories

  1. Perceptions of Discrimination Against White People in Post-Floyd America: Media Coverage and Public Opinion, 2020–2024
  2. A certainty‐weighted, belief‐based model of political attitudes: A Bayesian analysis of American public attitudes toward the Affordable Care Act
  3. Understanding the rationales and information environments for early, late, and nonadopters of the COVID-19 vaccine
  4. A bird's-eye view of phubbing: How adult observations of phone use impact judgments, epistemic trust, and interpersonal trust
  5. Has the Supreme Court become just another political branch? Public perceptions of court approval and legitimacy in a post- Dobbs world
  6. U.S. parents' attitudes toward playful learning
  7. A Deeper Anxiety
  8. A Republic, if You Can Keep It
  9. An Election Shaped by Crises
  10. Appendix: Our Data and Analytical Strategy
  11. Did the COVID-19 Pandemic Sink Trump’s Reelection?
  12. Did the COVID-19 Pandemic Sink Trump’s Reelection?
  13. Law and Order vs. Law and Order with Racial Justice
  14. Law and Order vs. Law and Order with Racial Justice
  15. List of IOD Collaborative Members
  16. Not One Electorate, but Many
  17. Online Appendix, Democracy amid Crises
  18. Preface
  19. The Best of Times, the Worst of Times
  20. The Best of Times, the Worst of Times
  21. The Electorates’ Communication Dynamics
  22. What Fundamental Factors Shape Elections?
  23. “Stop the Steal”
  24. “Stop the Steal”
  25. Democracy amid Crises
  26. Do you prefer Obamacare or the affordable care act? Simulating an informed public to improve survey measurement
  27. Promoting and Enabling Reproducible Data Science Through a Reproducibility Challenge
  28. A Partisan Pandemic: How COVID-19 Was Primed for Polarization
  29. Americans’ Attitudes toward the Affordable Care Act: What Role Do Beliefs Play?
  30. The role of non–COVID-specific and COVID-specific factors in predicting a shift in willingness to vaccinate: A panel study
  31. Research note: Lies and presidential debates: How political misinformation spread across media streams during the 2020 election
  32. Analysis and Visualization Considerations for Quantitative Social Science Research Using Social Media Data
  33. Modeling Considerations for Quantitative Social Science Research Using Social Media Data
  34. When Pundits Weigh In: Do Expert and Partisan Critiques in News Reports Shape Ordinary Individuals’ Interpretations of Polls?
  35. Data Acquisition, Sampling, and Data Preparation Considerations for Quantitative Social Science Research Using Social Media Data
  36. Measurement Considerations for Quantitative Social Science Research Using Social Media Data
  37. Exploring the Role of Media Use Within an Integrated Behavioral Model (IBM) Approach to Vote Likelihood
  38. Seeing Blue in Black and White: Race and Perceptions of Officer-Involved Shootings
  39. Intersectional invisibility revisited: How group prototypes lead to the erasure and exclusion of Black women.
  40. Attention to Campaign Events
  41. Study Designs for Quantitative Social Science Research Using Social Media
  42. When Pundits Weigh In: Do Expert and Partisan Critiques in News Reports Shape Ordinary Individuals’ Interpretations of Polls?
  43. Some Deficits and Some Misperceptions: Linking Partisanship With Climate Change Cognitions
  44. Relations Between Variables and Trends Over Time in Rdd Telephone and Nonprobability Sample Internet Surveys
  45. A Review of Conceptual Approaches and Empirical Evidence on Probability and Nonprobability Sample Survey Research
  46. Words That Matter
  47. When Polls Disagree: How Competitive Results and Methodological Quality Shape Partisan Perceptions of Polls and Electoral Predictions
  48. Social Media as an Alternative to Surveys of Opinions About the Economy
  49. Investigating harmful and helpful effects of watching season 2 of 13 Reasons Why: Results of a two-wave U.S. panel survey
  50. Correction: Perceptions of health risks of cigarette smoking: A new measure reveals widespread misunderstanding
  51. Who’s Tweeting About the President? What Big Survey Data Can Tell Us About Digital Traces?
  52. Don’t Trust the Scientists! Rejecting the Scientific Consensus “Conspiracy”
  53. Motivations for Participation in an Online Social Media Community for Diabetes
  54. The Stability of Economic Correlations over Time
  55. Linking Individual-Level Survey Data to Consumer File Records
  56. Linking Knowledge Networks Web Panel Data with External Data
  57. It’s not my consensus: Motivated reasoning and the sources of scientific illiteracy
  58. Negativity and Positivity Biases in Economic News Coverage: Traditional Versus Social Media
  59. Perceptions of health risks of cigarette smoking: A new measure reveals widespread misunderstanding
  60. Real-World Use and Self-Reported Health Outcomes of a Patient-Designed Do-it-Yourself Mobile Technology System for Diabetes: Lessons for Mobile Health
  61. Understanding and measuring mobile Facebook use: Who, why, and how?
  62. Motivated Reasoning in the Perceived Credibility of Public Opinion Polls
  63. Explaining the Diversity Deficit: Value-Trait Consistency in News Exposure and Democratic Citizenship
  64. Improving social media measurement in surveys: Avoiding acquiescence bias in Facebook research
  65. Social Media Analyses for Social Measurement
  66. Facebook Intensity Scale--Item-Specific Version
  67. Facebook Intrusion Scale--Item-Specific Version
  68. Facebook Self-Disclosure--Item-Specific Version
  69. Racial Attitudes Predicted Changes in Ostensibly Race-Neutral Political Attitudes Under the Obama Administration
  70. What motivates a conspiracy theory? Birther beliefs, partisanship, liberal-conservative ideology, and anti-Black attitudes
  71. When will Nonprobability Surveys Mirror Probability Surveys? Considering Types of Inference and Weighting Strategies as Criteria for Correspondence
  72. Misinformed About the Affordable Care Act? Leveraging Certainty to Assess the Prevalence of Misperceptions
  73. Assessing the Carrying Capacity of Twitter and Online News
  74. Roger Tourangeau et al., eds. Hard-to-Survey Populations. Cambridge, UK: Cambridge University Press. 2014. 648 pp. $120.00 (cloth).
  75. Beyond Probability Sampling: Population Inference in a World without Benchmarks
  76. Predicting Elections: Considering Tools to Pool the Polls
  77. Privacy Concern, Trust, and Desire for Content Personalization
  78. Social Media in Public Opinion Research: Executive Summary of the Aapor Task Force on Emerging Technologies in Public Opinion Research
  79. The impact of candidate name order on election outcomes in North Dakota
  80. Attitudes Toward Blacks in the Obama Era
  81. Can Marketing Data Aid Survey Research? Examining Accuracy and Completeness in Consumer-File Data
  82. Prevalence and Moderators of the Candidate Name-Order Effect
  83. Measuring anti-Black racial prejudice
  84. Experiments
  85. Writing the empirical social science research paper: A guide for the perplexed
  86. Implicit and explicit prejudice in the 2008 American presidential election
  87. Optimizing Survey Questionnaire Design in Political Science
  88. Realizing the Social Internet? Online Social Networking Meets Offline Civic Engagement
  89. Some clarifications on the Facebook-GPA study and Karpinski's response
  90. Facebook and academic performance: Reconciling a media sensation with data
  91. Building Social Capital in Young People: The Role of Mass Media and Life Outlook
  92. Determinants of Turnout and Candidate Choice in the 2008 U.S. Presidential Election
  93. Schools as Incubators of Democratic Participation: Building Long-Term Political Efficacy with Civic Education
  94. Identifying Best Practices in Civic Education: Lessons from the Student Voices Program
  95. America's Youth and Community Engagement
  96. Media Consumption Measure
  97. Political Awareness Scale