“Our belief in free will is ultimately a reason so many of us back democracy in the first place. Denying it can arguably be more damaging than a few fake news posts lurking on social media.”
Compared to their counterparts in communities without an election, monthly web traffic to local newspaper websites does not increase as mayoral elections approach.
We found that Americans who see news coverage that shows generic “line” images at polling places are less likely to say they will vote in future elections.
Rather than hastily address issues in the months leading up to big events where we expected lots of reader traffic, we decided to take stock of our systems as a whole and enact longer term resilience measures.
Shawn Bower, Alexandra Shaheen, Megan Araula, and. "How The New York Times assesses, tests, and prepares for the (un)expected news event." Nieman Journalism Lab. Nieman Foundation for Journalism at Harvard, 15 Jul. 2021. Web. 27 Mar. 2024.
APA
Shawn Bower, A. (2021, Jul. 15). How The New York Times assesses, tests, and prepares for the (un)expected news event. Nieman Journalism Lab. Retrieved March 27, 2024, from https://www.niemanlab.org/2021/07/how-the-new-york-times-assesses-tests-and-prepares-for-the-unexpected-news-event/
Chicago
Shawn Bower, Alexandra Shaheen, Megan Araula, and. "How The New York Times assesses, tests, and prepares for the (un)expected news event." Nieman Journalism Lab. Last modified July 15, 2021. Accessed March 27, 2024. https://www.niemanlab.org/2021/07/how-the-new-york-times-assesses-tests-and-prepares-for-the-unexpected-news-event/.
Wikipedia
{{cite web
| url = https://www.niemanlab.org/2021/07/how-the-new-york-times-assesses-tests-and-prepares-for-the-unexpected-news-event/
| title = How The New York Times assesses, tests, and prepares for the (un)expected news event
| last = Shawn Bower
| first = Alexandra Shaheen, Megan Araula, and
| work = [[Nieman Journalism Lab]]
| date = 15 July 2021
| accessdate = 27 March 2024
| ref = {{harvid|Shawn Bower|2021}}
}}