“We’re calling it the Splice Low-Res Festival, because it’s a quick and dirty idea and we all know video conferences can be pretty fuzzy…We’re doing this because it’s cheaper than therapy.”
Plus: “Newsworthiness” and how politicians are fact-checked on Facebook, and the number of countries with political disinformation campaigns has more than doubled in the past two years.
Plus: Big advertisers ban YouTube (not over vaccines), the National Cancer Institute wonders how to respond to health misinformation, and how to fill a data void.
“I’m sure everybody in the industry would [agree] that YouTube can be a messy, nasty place. The membership is just this delightful two-way conversation, with people who are really there to support Vox.”
Owen, Laura Hazard. "Do people fall for fake news because they’re partisan or because they’re lazy? Researchers are divided." Nieman Journalism Lab. Nieman Foundation for Journalism at Harvard, 25 Jan. 2019. Web. 19 Apr. 2024.
APA
Owen, L. (2019, Jan. 25). Do people fall for fake news because they’re partisan or because they’re lazy? Researchers are divided. Nieman Journalism Lab. Retrieved April 19, 2024, from https://www.niemanlab.org/2019/01/do-people-fall-for-fake-news-because-theyre-partisan-or-because-theyre-lazy-researchers-are-divided/
Chicago
Owen, Laura Hazard. "Do people fall for fake news because they’re partisan or because they’re lazy? Researchers are divided." Nieman Journalism Lab. Last modified January 25, 2019. Accessed April 19, 2024. https://www.niemanlab.org/2019/01/do-people-fall-for-fake-news-because-theyre-partisan-or-because-theyre-lazy-researchers-are-divided/.
Wikipedia
{{cite web
| url = https://www.niemanlab.org/2019/01/do-people-fall-for-fake-news-because-theyre-partisan-or-because-theyre-lazy-researchers-are-divided/
| title = Do people fall for fake news because they’re partisan or because they’re lazy? Researchers are divided
| last = Owen
| first = Laura Hazard
| work = [[Nieman Journalism Lab]]
| date = 25 January 2019
| accessdate = 19 April 2024
| ref = {{harvid|Owen|2019}}
}}
