Fatemeh Torabi Asr | Nieman Journalism Lab

Articles by Fatemeh Torabi Asr

Fatemeh Torabi Asr is a postdoctoral research fellow in the Discourse Processing Lab at Simon Fraser University.

August 16, 2019

One potential route to flagging fake news at scale: Linguistic analysis

It’s not perfect, but legitimate and faked news articles use language differently in ways that can be detected algorithmically: “On average, fake news articles use more expressions that are common in hate speech, as well as words related to sex, death, and anxiety.”

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MLA

Asr, Fatemeh Torabi. "One potential route to flagging fake news at scale: Linguistic analysis." Nieman Journalism Lab. Nieman Foundation for Journalism at Harvard, 16 Aug. 2019. Web. 24 Jul. 2024.

APA

Asr, F. (2019, Aug. 16). One potential route to flagging fake news at scale: Linguistic analysis. Nieman Journalism Lab. Retrieved July 24, 2024, from https://www.niemanlab.org/2019/08/one-potential-route-to-flagging-fake-news-at-scale-linguistic-analysis/

Chicago

Asr, Fatemeh Torabi. "One potential route to flagging fake news at scale: Linguistic analysis." Nieman Journalism Lab. Last modified August 16, 2019. Accessed July 24, 2024. https://www.niemanlab.org/2019/08/one-potential-route-to-flagging-fake-news-at-scale-linguistic-analysis/.

Wikipedia

{{cite web
    | url = https://www.niemanlab.org/2019/08/one-potential-route-to-flagging-fake-news-at-scale-linguistic-analysis/
    | title = One potential route to flagging fake news at scale: Linguistic analysis
    | last = Asr
    | first = Fatemeh Torabi
    | work = [[Nieman Journalism Lab]]
    | date = 16 August 2019
    | accessdate = 24 July 2024
    | ref = {{harvid|Asr|2019}}
}}

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