Computer-generated humans and disinformation campaigns could soon take over political debate. Last year, researchers found that 70 countries had political disinformation campaigns over two years from r/Futurology
Bots will dominate political debate, experts warn
Last year, researchers at Oxford University found that 70 countries had political disinformation campaigns over two years.
Perhaps the most notable of such campaigns was that initiated by a Russian propaganda group to influence the 2016 US election result.
he US Federal Communications Commission hosted a period in 2017 where the public could comment on its plans to repeal net neutrality. Harvard Kennedy School lecturer Bruce Schneier notes that while the agency received 22 million comments, many of them were made by fake identities.
Schneier argues that the escalating prevalence of computer-generated personas could “starve” people of democracy
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more on deepfake in this IMS blog
https://blog.stcloudstate.edu/ims?s=deepfake
https://www.theguardian.com/technology/2020/jan/07/facebook-bans-deepfake-videos-in-run-up-to-us-election
Some news organisations, including the BBC, New York Times and Buzzfeed have made their own “deepfake” videos, ostensibly to spread awareness about the techniques. Those videos, while of varying quality, have all contained clear statements that they are fake.
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more on deep fake in this IMS blog
https://blog.stcloudstate.edu/ims?s=deep+fake
This startup claims its deepfakes will protect your privacy
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more on deep fake in this IMS blog
https://blog.stcloudstate.edu/ims?s=deep+fake
https://www.edsurge.com/news/2019-09-24-the-challenge-of-teaching-news-literacy
Everybody’s talking about deepfakes in 2020, that’s not something we were talking about in 2016, maybe even in 2018.
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more on news literate in this IMS blog
https://blog.stcloudstate.edu/ims?s=news+literate
https://www.npr.org/2019/09/02/754415386/what-you-need-to-know-about-fake-video-audio-and-the-2020-election
deep fake: definition
What are “deepfakes?”
That’s the nickname given to computer-created artificial videos or other digital material in which images are combined to create new footage that depicts events that never actually happened. The term originates from the online message board Reddit.
One initial use of the fake videos was in amateur-created pornography, in which the faces of famous Hollywood actresses were digitally placed onto that of other performers to make it appear as though the stars themselves were performing.
How difficult is it to create fake media?
It can be done with specialized software, experts say, the same way that editing programs such as Photoshop have made it simpler to manipulate still images. And specialized software itself isn’t necessary for what have been dubbed “shallow fakes” or “cheap fakes.”
Researchers also say they are working on new ways to speed up systems aimed at helping establish when video or audio has been manipulated. But it’s been called a “cat and mouse” game in which there may seldom be exact parity between fabrication and detection.
At least one state has considered legislation that would outlaw distributing election-oriented fake videos.
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more on fake news in this IMS blog
https://blog.stcloudstate.edu/ims?s=fake+news
The Psychology Of Fake News
March 27, 201810:21 AM ET TANIA LOMBROZO
https://www.npr.org/sections/13.7/2018/03/27/597263367/the-psychology-of-fake-news
During the past two years, fake news has been a frequent topic of real news, with articles considering the role of social media in spreading fake news, the advent of fake videos and the role these play in the political process.
Lazer, D. M. J., Baum, M. A., Benkler, Y., Berinsky, A. J., Greenhill, K. M., Menczer, F., … Zittrain, J. L. (2018). The science of fake news.
Science,
359(6380), 1094–1096.
https://doi.org/10.1126/science.aao2998
Baum and David Lazer, M. A. (2017, May 11). Social media must be held to account on fake news. Winnipeg Free Press (MB). p. A7.
In a
paper published in March in the journal
Science, David Lazer, Matthew Baum and 14 co-authors consider what we do and don’t know about the science of fake news. They
define fake news as “fabricated information that mimics news media content in form but not in organizational process or intent,” and they go on to discuss problems at multiple levels: individual, institutional and societal. What do we know about individuals’ exposure to fake news and its influence upon them? How can Internet platforms help limit the dissemination of fake news? And most fundamentally: How can we succeed in creating and perpetuating a culture that values and promotes truth?
Steven Sloman, professor of cognitive, linguistic and psychological sciences at Brown University, and one of the paper’s 16 authors. Sloman is also author of
The Knowledge Illusion: Why We Never Think Alone, a book about the merits and failings of our collaborative minds, published in 2017 with co-author Philip Fernbach.
Sloman, S. A. (2017). The knowledge illusion: Why we never think alone. New York: Riverhead Books.