1/n Chart summarizing the effects of the Floyd incident on white racial attitudes.
2/n Overall, the attitudes of white liberals shifted the most (though some were already in the woke direction, so there's some ceiling effect). This movement was most pronounced in attitudes towards the police, reparations, and favorability of whites vs. blacks (in which..
3/n ...white conservatives actually shifted in the opposite or pro-white direction).
4/n My dissertation argues that ingroup-critical moral emotions (e.g. guilt, shame, anger) are important drivers of white racial liberalism; and that the salience of these emotions are responsive to media coverage of racial inequality, racism, and racial injustice.
5/n Unfortunately, few surveys actually measure these emotions (and generally only include the popular but widely abused 'racial resentment' scale), but my own survey shows them to be some of the strongest predictors of pro-outgroup attitudes. Thus, when we see that...
6/n ...post-Floyd white liberals rate blacks even more favorably than whites than they did pre-Floyd, my theory argues that this at least partly due to the incident's activation of guilt and shame.
6/n Just noted this now: the increase in the pro-black favorability bias of white liberals was *not* the result of them rating blacks more favorably (Pre-Floyd 90%, Post-Floyd 88.5%), but rather the result of rating *whites* more unfavorably (17.8%->22.5%).

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More from @ZachG932

1 Aug
1/n White liberals are significantly more likely to say that they sometimes or often/all the time secretly wish for bad things to happen to those who disagree with them politically
2/n White liberals were also more likely to think it's appropriate to judge people's past actions and comments by today's moral standards.
3/n Nice to finally have some data on such sentiment.
Read 8 tweets
30 Jul
1/n Further confirmation of the white liberalism-negative mental health relationship (see the original thread here ).
2/n Here were the items used to construct the index
3/n Someone pointed out that one of the x-axis labels was mislabeled. Here is a corrected graph
Read 5 tweets
29 Jul
1/n The Great Awokening: Twitter edition

Credits to the folks at storywrangling.org for compiling and sharing these data.
2/n Next step: see how these trends relate to those observed in left-leaning news outlets (I'll have to check, but, on first glance, it looks like the media's awokening trends might actually precede those depicted here). More to come.
3/n Speaking of 'folks'
Read 14 tweets
22 Jul
1/n Interestingly, an almost identical proportion of respondents (55%) gave this response in a 1988 AP poll.

The difference today is in the distribution of responses across different subgroups.
2/n Specifically (I could graph but I'm lazy), ~59% of democrats and 55% of republicans selected 'yes' in 1988 as compared to 82% and 30%, respectively, in the 2020 WSJ poll.
3/n In other words, the parties have become more polarized/better sorted on race (which is an important reason why the awokening has been largely limited to Dems).
Read 6 tweets
10 Jun
1/n Using the Washington Post Shooting Database (2015-2020), I entered the names of all 'unarmed' black and white police shooting victims into ProQuest and created a tally of search results.
2/n What I find is that news media content covering black victims is about 9x greater than that of white victims (whether one compares the medians or the means).
3/n To account for the skewed distribution of the data, I used a quintile/median regression to regress the # of results onto the incident/victim-relevant variables included in the Washington Post dataset. None of these variables explain the difference.
Read 11 tweets
4 Jun
@Inductivist Okay. I can control for 5. I don't have variables for 3 (just population size). 1 is already controlled for in the sense that virtually all reports of force occurred during officer-initiated contact.
@Inductivist I can't control for 2 (there's one variable asking if reason for being stopped was DUI suspicion, but none that ask if respondent was actually under the influence)
@Inductivist You're right. Force is less likely to be used when it's a single officer relative to two or more. The inclusion of this variable further narrows the BW gap from (0.008->0.005)
Read 4 tweets

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