The tool is called Science Surveryor, and it’s being developed at Columbia and Stanford to help journalists find context and background information on tight deadlines.
“So, for instance, an editor on the national desk might be looking for a reporter in Reno, Nevada, and not know that someone in Style has one on speed dial.”
O'Donovan, Caroline. "Can an algorithm predict which popular content will become viral content?." Nieman Journalism Lab. Nieman Foundation for Journalism at Harvard, 27 Mar. 2014. Web. 20 Dec. 2024.
APA
O'Donovan, C. (2014, Mar. 27). Can an algorithm predict which popular content will become viral content?. Nieman Journalism Lab. Retrieved December 20, 2024, from https://www.niemanlab.org/2014/03/can-an-algorithm-predict-which-popular-content-will-become-viral-content/
Chicago
O'Donovan, Caroline. "Can an algorithm predict which popular content will become viral content?." Nieman Journalism Lab. Last modified March 27, 2014. Accessed December 20, 2024. https://www.niemanlab.org/2014/03/can-an-algorithm-predict-which-popular-content-will-become-viral-content/.
Wikipedia
{{cite web
| url = https://www.niemanlab.org/2014/03/can-an-algorithm-predict-which-popular-content-will-become-viral-content/
| title = Can an algorithm predict which popular content will become viral content?
| last = O'Donovan
| first = Caroline
| work = [[Nieman Journalism Lab]]
| date = 27 March 2014
| accessdate = 20 December 2024
| ref = {{harvid|O'Donovan|2014}}
}}
