Led by risk-averse corporate owners, dozens of the biggest U.S. newspapers have decided their editorials should express opinions on everything except who should be president.
“Frankly, the nation’s media may well be talking and thinking too much about the need for someone to ‘save journalism’ when all of us should be laser-focused on doing the work that may well save democracy.”
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 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. 30 Jan. 2025.
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 January 30, 2025, 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 January 30, 2025. 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 = 30 January 2025
| ref = {{harvid|Benton|2020}}
}}