“Artificial neural networks are advancing rapidly in their ability to synthesize content — including images, videos, and texts — that are increasingly indistinguishable from authentic content.”
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As algorithms play an ever-larger role in how we get news and information, it’s important to realize the ways that bias — intentional or not — can seep into their decisions.
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Diakopoulos, Nicholas. "Nick Diakopoulos: Understanding bias in computational news media." Nieman Journalism Lab. Nieman Foundation for Journalism at Harvard, 10 Dec. 2012. Web. 23 May. 2019.
APA
Diakopoulos, N. (2012, Dec. 10). Nick Diakopoulos: Understanding bias in computational news media. Nieman Journalism Lab. Retrieved May 23, 2019, from https://www.niemanlab.org/2012/12/nick-diakopoulos-understanding-bias-in-computational-news-media/
Chicago
Diakopoulos, Nicholas. "Nick Diakopoulos: Understanding bias in computational news media." Nieman Journalism Lab. Last modified December 10, 2012. Accessed May 23, 2019. https://www.niemanlab.org/2012/12/nick-diakopoulos-understanding-bias-in-computational-news-media/.
Wikipedia
{{cite web
| url = https://www.niemanlab.org/2012/12/nick-diakopoulos-understanding-bias-in-computational-news-media/
| title = Nick Diakopoulos: Understanding bias in computational news media
| last = Diakopoulos
| first = Nicholas
| work = [[Nieman Journalism Lab]]
| date = 10 December 2012
| accessdate = 23 May 2019
| ref = {{harvid|Diakopoulos|2012}}
}}
