“A keyword-focused ‘close enough, good enough’ approach to white Christian nationalism risks misdiagnosing problems, muddling solutions, and alienating potentially reachable readers.”
“Our interviewees view mainstream news outlets as part of a group of liberal institutions dedicated to making conservatives into pariahs. The misinformation often at the heart of conservative responses to Covid-19 is a symptom, rather than a cause, of this distrust.”
“Suddenly, the stupid stuff on the internet, the scary stuff on the internet, became just so mainstream and important. And that totally should not be.”
Including how research into sports fandom explains Trump supporters’ claims of voter fraud: “One’s degree of team identification is a major predictor for attributing a loss to external forces such as referees and opponents’ cheating, resulting in denial of the outcome.”
There’s good evidence that some people find predictive models like FiveThirtyEight’s confusing, and an argument that they might keep people from voting. But 2016’s scars shouldn’t mean that voters have to be kept in the dark.
A new study looks at how people in seven countries view the motives of the news media in covering the pandemic. Only in the United States is that a profoundly partisan question.
A new paper argues that the “26 words that created the internet” should remain in force — but only for companies that agree to certain new regulations and restrictions.
Benton, Joshua. "This is how FiveThirtyEight is trying to build the right amount of uncertainty into its 2020 election data analysis." Nieman Journalism Lab. Nieman Foundation for Journalism at Harvard, 28 Jul. 2020. Web. 26 May. 2023.
APA
Benton, J. (2020, Jul. 28). This is how FiveThirtyEight is trying to build the right amount of uncertainty into its 2020 election data analysis. Nieman Journalism Lab. Retrieved May 26, 2023, from https://www.niemanlab.org/2020/07/this-is-how-fivethirtyeight-is-trying-to-build-the-right-amount-of-uncertainty-into-its-2020-election-data-analysis/
Chicago
Benton, Joshua. "This is how FiveThirtyEight is trying to build the right amount of uncertainty into its 2020 election data analysis." Nieman Journalism Lab. Last modified July 28, 2020. Accessed May 26, 2023. https://www.niemanlab.org/2020/07/this-is-how-fivethirtyeight-is-trying-to-build-the-right-amount-of-uncertainty-into-its-2020-election-data-analysis/.
Wikipedia
{{cite web
| url = https://www.niemanlab.org/2020/07/this-is-how-fivethirtyeight-is-trying-to-build-the-right-amount-of-uncertainty-into-its-2020-election-data-analysis/
| title = This is how FiveThirtyEight is trying to build the right amount of uncertainty into its 2020 election data analysis
| last = Benton
| first = Joshua
| work = [[Nieman Journalism Lab]]
| date = 28 July 2020
| accessdate = 26 May 2023
| ref = {{harvid|Benton|2020}}
}}
