Happy to announce that my new @CUP_PoliSci Elements book was published today.
I explore how Trump's rhetoric encourages some Americans to express more prejudice than they would otherwise. You can access it online for free until Nov 2 & here's a thread... cambridge.org/core/elements/…
First, an important point to make about what is happening is that there are countervailing trends in reaction to Trump's rhetoric. As @dhopkins1776 and Washington have demonstrated, many have reacted to Trump by expressing *less* prejudice in surveys. academic.oup.com/poq/article-ab…
But not everyone has reacted this way. As I argue, more prejudiced Republicans are not necessarily becoming even more prejudiced, but Trump's rhetoric may make them more likely to express that prejudice to others.
I see this in panel data, where the same Trump supporters were interviewed just before the election and then after Trump's inauguration. Those Trump supporters expressed more sexism and more anti-immigrant sentiment after Trump's victory.
The book also includes a series of experiments to test for this "Trump effect." I find that when sexist remarks are attributed to Trump (rather than an acquaintance), Trump supporters are MUCH less likely to express discomfort with those statements.
Importantly, this experiment provides insight on how partisan motives can either reinforce or undermine the acceptance of prejudice. When sexist statements are attributed to Trump, sexist Republicans express much less discomfort while sexist Democrats express much more discomfort
I then present results from a novel experiment I conducted in 2016 where I randomly assigned exposure to two of Trump's offensive quotes. When people saw Trump's infamous quote about Mexicans, they were more likely to write offensive things about Mexicans (and Millennials!).
I also present results from 2 experiments testing the effects of a generic politician (rather than Trump) saying it is ok to make sexist or ethnic jokes. When subjects hear this statement from a politician, they are less likely to endorse norms against the expression of prejudice
These experiments provide more direct evidence that the mechanism at play is likely related to signals about norms. This builds on the great work of @ChrisCrandall16 showing how understandings of norms influences whether people express their prejudices. journals.sagepub.com/doi/abs/10.117…
For me, this makes what happens on Nov 3 all the more important. Of course, a definitive Trump defeat will not be a defeat of prejudice in America, but it would at least be an important signal about what a majority of Americans are unwilling to tolerate.
There is much more to see & it's free to access for the next 2 weeks, so dig in!
Many thanks to editors Frances Lee & @SaraDoskow for supporting the manuscript, not to mention the many people who provided feedback on this project over the past 4 years. cambridge.org/core/elements/…
PS: a link to the online Supplementary Information can be found here. Hoping to have a replication archive up relatively soon as well. sites.google.com/view/brianfsch…
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There are 17 figures in my new @CUP_PoliSci Element, but this is the one I keep thinking about because I think it can say a lot about what we've seen happen in reaction to Trump's expressions of prejudice over the past four years.
Many have noted that Ds in particular appear to be trending toward giving more progressive responses to questions regarding racial stereotypes (@dhopkins1776) or racial resentment (@_amengel) or other measures of xenophobia (@johnmsides, Tesler, @vavreck).
This movement -- termed "the Great Awokening" by @mattyglesias, has received a lot of attention, even while others have been worried about a "Trump effect" which leads Trump supporters to express *more* prejudice. vox.com/2019/3/22/1825…
I worked on a couple of projects for #AAPOR that focused on the increasingly strong relationship between sexism and partisan divisions and I thought I’d do a little thread to highlight some major points. Shout out to @scluks who co-authored one of the papers with me. 1/10
First, the work I’ve done in this area uses a subset of items from the hostile sexism battery. Basically, a person’s level of hostile sexism is determined by how much they agree or disagree with statements like these. 2/10
This plot shows the distribution of sexism by party and gender. Note that Republican men and women express very similar levels of sexism, but Democratic men are more sexist than Democratic women. 3/10
How extreme do you have to be to want to ban abortions in all circumstances?
(all data from the 2018 CCES)
- 69% of those who strongly approve of Trump oppose a total ban
- 71% of those who voted in a Republican primary in 2018 oppose a total ban
1/4
- 73% of those who think we need to make it easier to carry concealed weapons oppose a total ban
- 69% who strongly agree that women typically complain about discrimination when they lose to men in a fair competition oppose a total ban
2/4
- 56% of those who identify as "very conservative" oppose a total ban
- 69% who strongly agree that women typically complain about discrimination when they lose to men in a fair competition oppose a total ban
3/4