- The Oxford Handbook of Polling and Survey Methods
- Introduction to Polling and Survey Methods
- Total Survey Error
- Longitudinal Surveys: Issues and Opportunities
- Mixing Survey Modes and Its Implications
- Taking the Study of Political Behavior Online
- Sampling for Studying Context: Traditional Surveys and New Directions
- Questionnaire Science
- Exit Polling Today and What the Future May Hold
- Sampling Hard-to-Locate Populations: Lessons from Sampling Internally Displaced Persons (IDPs)
- Reaching Beyond Low-Hanging Fruit: Surveying Low-Incidence Populations
- Improving the Quality of Survey Data Using CAPI Systems in Developing Countries
- Survey Research in the Arab World
- The Language-Opinion Connection
- Issues in Polling Methodologies: Inference and Uncertainty
- Causal Inference with Complex Survey Designs: Generating Population Estimates Using Survey Weights
- Aggregating Survey Data to Estimate Subnational Public Opinion
- Latent Constructs in Public Opinion
- Measuring Group Consciousness: Actions Speak Louder Than Words
- Cross-National Surveys and the Comparative Study of Electoral Systems: When Country/Elections Become Cases
- Graphical Visualization of Polling Results
- Graphical Displays for Public Opinion Research
- Survey Experiments: Managing the Methodological Costs and Benefits
- Using Qualitative Methods in a Quantitative Survey Research Agenda
- Integration of Contextual Data: Opportunities and Challenges
- Measuring Public Opinion with Social Media Data
- Expert Surveys as a Measurement Tool: Challenges and New Frontiers
- The Rise of Poll Aggregation and Election Forecasting
Abstract and Keywords
This chapter examines the use of social networking sites such as Twitter in measuring public opinion. It first considers the opportunities and challenges that are involved in conducting public opinion surveys using social media data. Three challenges are discussed: identifying political opinion, representativeness of social media users, and aggregating from individual responses to public opinion. The chapter outlines some of the strategies for overcoming these challenges and proceeds by highlighting some of the novel uses for social media that have fewer direct analogs in traditional survey work. Finally, it suggests new directions for a research agenda in using social media for public opinion work.
Marko Klašnja is an Assistant Professor of Political Science at Georgetown University, with the joint appointment in the Government Department and the Edmund A. Walsh School of Foreign Service. He specializes in comparative politics, political behavior, and political economy of democratic accountability.
Pablo Barberá is an Assistant Professor of Computational Social Science in the Methodology Department at the London School of Economics. His primary areas of research include social media and politics, computational social science, and comparative electoral behavior and political representation.
Nicholas Beauchamp is an Assistant Professor of Political Science at Northeastern University. He specializes in U.S. politics (political behavior, campaigns, opinion, political psychology, and social media) and political methodology (quantitative text analysis, machine learning, Bayesian methods, agent-based models, and networks).
Jonathan Nagler is a Professor of Politics, Affiliated faculty in the Center for Data Science, and a Co-Director of the Social Media and Political Participation Laboratory at New York University. His areas of interest and research include quantitative methodology, voting behavior, social-media, turnout, and the impact of the economy and information on elections.
Joshua A. Tucker is a Professor of Politics and affiliated Professor of Russian and Slavic Studies and Data Science at New York University, the Director of the NYU Jordan Center for the Advanced Study of Russia, and a Co-Director of the NYU Social Media and Political Participation (SMaPP) laboratory. His research interests are mass political behavior, the intersection of social media and politics, and post-communist politics.
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