At MisinfoCon, stopping “fake news” wasn’t the only focus: Issues from news literacy to newsroom standards and reader empathy to ad revenue were all up for discussion.
“Wired is doing well, but this industry changes so fast that you have to be on top of all these opportunities and you have to look at ways you can evolve while staying core to what you really believe.”
Lichterman, Joseph. "This tool from Google parent Alphabet tries to tackle “toxic” comments through machine learning." Nieman Journalism Lab. Nieman Foundation for Journalism at Harvard, 23 Feb. 2017. Web. 19 Nov. 2024.
APA
Lichterman, J. (2017, Feb. 23). This tool from Google parent Alphabet tries to tackle “toxic” comments through machine learning. Nieman Journalism Lab. Retrieved November 19, 2024, from https://www.niemanlab.org/2017/02/this-tool-from-google-parent-alphabet-tries-to-tackle-toxic-comments-through-machine-learning/
Chicago
Lichterman, Joseph. "This tool from Google parent Alphabet tries to tackle “toxic” comments through machine learning." Nieman Journalism Lab. Last modified February 23, 2017. Accessed November 19, 2024. https://www.niemanlab.org/2017/02/this-tool-from-google-parent-alphabet-tries-to-tackle-toxic-comments-through-machine-learning/.
Wikipedia
{{cite web
| url = https://www.niemanlab.org/2017/02/this-tool-from-google-parent-alphabet-tries-to-tackle-toxic-comments-through-machine-learning/
| title = This tool from Google parent Alphabet tries to tackle “toxic” comments through machine learning
| last = Lichterman
| first = Joseph
| work = [[Nieman Journalism Lab]]
| date = 23 February 2017
| accessdate = 19 November 2024
| ref = {{harvid|Lichterman|2017}}
}}
