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Prior Exposure Increases Perceived Accuracy of Fake News
In other words, repeated exposure to fake news renders it believable. Pennycook, Gordon and Cannon, Tyrone D and Rand, David G., _Prior Exposure Increases Perceived Accuracy of Fake News_ (April 30, 2017):
Collectively, our results indicate familiarity is used heuristically to infer accuracy. Thus, the spread of fake news is supported by persistent low-level cognitive processes that make even highly implausible and partisan claims more believable with repetition. Our results suggest that political echo chambers not only isolate one from opposing views, but also help to create incubation chambers for blatantly false (but highly salient and politicized) fake news stories.


(via Zeynep Tufekci)

See also: http://www.rand.org/content/dam/rand/pubs/perspectives/PE100/PE198/RAND_PE198.pdf , _The Russian "Firehose of Falsehood" Propaganda Model_, from RAND.
propaganda  psychology  fake-news  belief  facebook  echo-chambers  lies  truth  media 
12 weeks ago by jm
Here's Why Facebook's Trending Algorithm Keeps Promoting Fake News - BuzzFeed News
Kalina Bontcheva leads the EU-funded PHEME project working to compute the veracity of social media content. She said reducing the amount of human oversight for Trending heightens the likelihood of failures, and of the algorithm being fooled by people trying to game it.
“I think people are always going to try and outsmart these algorithms — we’ve seen this with search engine optimization,” she said. “I’m sure that once in a while there is going to be a very high-profile failure.”
Less human oversight means more reliance on the algorithm, which creates a new set of concerns, according to Kate Starbird, an assistant professor at the University of Washington who has been using machine learning and other technology to evaluate the accuracy of rumors and information during events such as the Boston bombings.
“[Facebook is] making an assumption that we’re more comfortable with a machine being biased than with a human being biased, because people don’t understand machines as well,” she said.
facebook  news  gaming  adversarial-classification  pheme  truth  social-media  algorithms  ml  machine-learning  media 
october 2016 by jm

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