🚨📢"Anti-Intellectualism and the Mass Public’s Response to the Covid-19 Pandemic" (with @PeejLoewen) now coming soon to Nature Human Behaviour!🤯Check it out!👀 1/

osf.io/agm57/
Lot of cool stuff in this paper. We show that anti-intellectualism (AI) was strongly associated with COVID-19 risk perceptions (-), social distancing compliance (-), COVID-19 misbeliefs (+), and news attention (-) as the pandemic unfolded in 🇨🇦 beyond effects of ideology 2/
We use panel data to link AI to within-respondent dynamics in mask adoption as expert advice changed on this question in April and May of 2020 3/
And we show that AI shapes information preferences using a pair of experiments with pre-registered replications. People generally prefer COVID-19 news content and information from experts, but this isn't nearly as true for people with high levels of AI 4/
And to that point in time, having surveyed over 27 thousand 🇨🇦s, we highlight some really cool descriptives. We are now up to 76,000 people with our @MediaEcosystem surveys since last March, so it will be an invaluable data set for future work on the public's pandemic response 5/
We can't take trust in experts for granted. This paper joins a growing body of work examining how AI and populism shape the public's response to expert advice, including some of my own research below, and work by @matt_motta, @nielsmede and others 6/

academic.oup.com/poq/article-ab…
This paper was a tonne of work, so I am very glad it is finding such an awesome home. It couldn't have happened without the large scale data collection of the @MediaEcosystem team, including @taylor_owen, @derekruths, @AengusBridgman, and @ozhilin1 7/

osf.io/agm57/

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More from @EricMerkley

21 May 20
🚨New pre-print 🚨by @PeejLoewen and I out of the @MediaEcosystem project on how prospective economic cost reduces social distancing expectations. We think this is an important one. Bear with me for a long-ish thread 👇1/

#SocSciResearch #Covid_19

osf.io/yht9v/
Citizens have been asked to take a variety of costly actions to protect themselves and others (i.e. social/physical distancing). This behaviour is essential in the absence of #TestAndTrace and a mass produced vaccine. How sustainable is this? We need more research 2/
We see public health during a pandemic as a public good to which citizens can make a costly contribution by socially distancing themselves. Participation will influenced, in part, by its marginal cost and benefit, and by expectations of other people's behaviour 3/
Read 18 tweets
14 May 20
🚨New pre-print 🚨by the @MediaEcosystem team on anti-intellectualism and information preferences during the #COVID19 pandemic. Check it out! 👀👇#SocSciResearch #scicomm 1/

osf.io/agm57/
Building on work by @AlbertsonB2 and @sgadarian, we expect that individuals will have preference for both expert information related to #COVID19 and #COVID19 news in general. But, that these effects will be weaker among those with higher levels of anti-intellectual sentiment 2/
We use two survey experiments on a pair of large, nationally representative samples of Canadians (N~2,500) to show that 1) citizens prefer expert information, and this effect weakens among those with high levels of anti-intellectualism; 3/
Read 7 tweets
8 Apr 20
Not yet settled. See here for instance, where I validate a Lexicoder-based tone measure using vector autoregression for analyses meant to detect partisan media bias in economic news dynamics. I find the opposite. 1/

journals.sagepub.com/doi/abs/10.117…
Ditto here in a working paper with @alan_jacobs1 @jsmatthews99 and @HicksTM. Again the aim was to validate the tone measure, but this time for analyses on class bias in news media responsiveness. News media lead, rather than follow sentiment 2/ osf.io/preprints/soca…
We find a strong correlation between news tone and the fortunes of the affluent with much less responsiveness to those of the middle and lower class. This class bias is likely due to how traditional indicators of econ performance now better reflect the fortunes of the wealthy 3/
Read 6 tweets
29 Aug 19
Presenting more dissertation work today at #APSA2019 (4pm, Marriott Harding). I argue that we need to pay more attention to the information environment to understand why public attitudes often diverge from consensus expert opinion. Another thread 👇 [1/13] #SocSciResearch ImageImage
Many citizens learn about hard or technical political issues through the news media. However, we know that pathologies in news production generate superficial content that emphasizes novelty and drama. The news media may not often convey info about expert consensus [2/13]
And even when they do cover expert consensus, bias towards conflict and balance may lead journalists to cite contrarian experts (i.e. false balance) or polarizing political opponents that may confuse readers about expert consensus or prime them to resist it [3/13]
Read 14 tweets

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