Values, Political Knowledge, and Public Opinion about Gay Rights

2003 ◽  
Vol 67 (2) ◽  
pp. 173-201 ◽  
Author(s):  
Paul R. Brewer
2017 ◽  
Vol 3 ◽  
pp. 237802311772765 ◽  
Author(s):  
Michael J. Rosenfeld

Most public opinion attitudes in the United States are reasonably stable over time. Using data from the General Social Survey and the American National Election Studies, I quantify typical change rates across all attitudes. I quantify the extent to which change in same-sex marriage approval (and liberalization in attitudes toward gay rights in general) are among a small set of rapid changing outliers in surveyed public opinions. No measured public opinion attitude in the United States has changed more and more quickly than same-sex marriage. I use survey data from Newsweek to illustrate the rapid increase in the 1980s and 1990s in Americans who had friends or family who they knew to be gay or lesbian and demonstrate how contact with out-of-the-closet gays and lesbians was influential. I discuss several potential historical and social movement theory explanations for the rapid liberalization of attitudes toward gay rights in the United States, including the surprising influence of Bill Clinton’s 1992 presidential campaign.


2015 ◽  
Vol 23 (4) ◽  
pp. 518-533 ◽  
Author(s):  
Kai Quek ◽  
Michael W. Sances

Mass election predictions are increasingly used by election forecasters and public opinion scholars. While they are potentially powerful tools for answering a variety of social science questions, existing measures are limited in that they ask about victors rather than voteshares. We show that asking survey respondents to predict voteshares is a viable and superior alternative to asking them to predict winners. After showing respondents can make sensible quantitative predictions, we demonstrate how traditional qualitative forecasts lead to mistaken inferences. In particular, qualitative predictions vastly overstate the degree of partisan bias in election forecasts, and lead to wrong conclusions regarding how political knowledge exacerbates this bias. We also show how election predictions can aid in the use of elections as natural experiments, using the effect of the 2012 election on partisan economic perceptions as an example. Our results have implications for multiple constituencies, from methodologists and pollsters to political scientists and interdisciplinary scholars of collective intelligence.


2020 ◽  
Vol 48 (5) ◽  
pp. 612-621
Author(s):  
Nicholas Joseph Adams-Cohen

This article uses Twitter data and machine-learning methods to analyze the causal impact of the Supreme Court’s legalization of same-sex marriage at the federal level in the United States on political sentiment and discourse toward gay rights. In relying on social media text data, this project constructs a large data set of expressed political opinions in the short time frame before and after the Obergefell v. Hodges decision. Due to the variation in state laws regarding the legality of same-sex marriage prior to the Supreme Court’s decision, I use a difference-in-difference estimator to show that, in those states where the Court’s ruling produced a policy change, there was relatively more negative movement in public opinion toward same-sex marriage and gay rights issues as compared with other states. This confirms previous studies that show Supreme Court decisions polarize public opinion in the short term, extends previous results by demonstrating opinion becomes relatively more negative in states where policy is overturned, and demonstrates how to use social media data to engage in causal analyses.


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