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MLA
Stray, Jonathan. "Data, uncertainty, and specialization: What journalism can learn from FiveThirtyEight’s election coverage." Nieman Journalism Lab. Nieman Foundation for Journalism at Harvard, 31 Oct. 2012. Web. 16 Apr. 2024.
APA
Stray, J. (2012, Oct. 31). Data, uncertainty, and specialization: What journalism can learn from FiveThirtyEight’s election coverage. Nieman Journalism Lab. Retrieved April 16, 2024, from https://www.niemanlab.org/2012/10/data-uncertainty-and-specialization-what-journalism-can-learn-from-fivethirtyeights-election-coverage/
Chicago
Stray, Jonathan. "Data, uncertainty, and specialization: What journalism can learn from FiveThirtyEight’s election coverage." Nieman Journalism Lab. Last modified October 31, 2012. Accessed April 16, 2024. https://www.niemanlab.org/2012/10/data-uncertainty-and-specialization-what-journalism-can-learn-from-fivethirtyeights-election-coverage/.
Wikipedia
{{cite web
| url = https://www.niemanlab.org/2012/10/data-uncertainty-and-specialization-what-journalism-can-learn-from-fivethirtyeights-election-coverage/
| title = Data, uncertainty, and specialization: What journalism can learn from FiveThirtyEight’s election coverage
| last = Stray
| first = Jonathan
| work = [[Nieman Journalism Lab]]
| date = 31 October 2012
| accessdate = 16 April 2024
| ref = {{harvid|Stray|2012}}
}}
The Nieman Journalism Lab is a collaborative attempt to figure out how quality journalism can survive and thrive in the Internet age.
It’s a project of the Nieman Foundation for Journalism at Harvard University.