The technical part seems reasonable. I certainly like the idea of open
source databases. The "by law" part is unrealistic, unless you can find
a way to tie it into large tax breaks for the top 0.01%.
Facebook/Twitter/etc. *could* do something like that, if they wanted to
put resources on it. Whether they will or not is a different question.
For now they seem to be in Denial (NOT the river in Egypt).
Joe
On 11/20/16 6:24 PM, Marcus Daniels wrote:
Another approach might be to have signature based scanning, kind of
like virus scanners or SPAM filters.
One might imagine using natural language processing to normalize tweet
or Facebook excerpts into the same `meme' object, and then require
Twitter, Facebook, etc. by law to highlight those meme objects that
have been shown to be controversial or false, linking to background
documents. Like
http://www.nytimes.com/2016/11/20/business/media/how-fake-news-spreads.html
<http://www.nytimes.com/2016/11/20/business/media/how-fake-news-spreads.html?hp&action=click&pgtype=Homepage&clickSource=story-heading&module=b-lede-package-region®ion=top-news&WT.nav=top-news>
Multimedia objects (like the pictures above of the buses) would be an
even easier way to spot variant instances of the same thing.
Photoshop manipulations could probably be identified by automated means.
Authors with the intent to falsify news would probably switch between
identities, so quantitative metrics on writing style or
statistical patterns in target selection might be one way to identify
culprits.
The databases of bad content and bad actors ought to be open source,
so that it can be elaborated by anyone with the time and energy to do
the research.
Marcus
------------------------------------------------------------------------
*From:* Friam <[email protected]> on behalf of Joe Spinden
<[email protected]>
*Sent:* Sunday, November 20, 2016 5:54:56 PM
*To:* The Friday Morning Applied Complexity Coffee Group
*Subject:* Re: [FRIAM] Automated Pro-Trump Bots Overwhelmed
Pro-Clinton Messages, Researchers Say
Not sure that is possible. But I would be happy with identifying and
responding in real time.. Not thrilled to think the elections here
and elsewhere are swayed by automated misinformation..
Joe
On 11/20/16 12:49 PM, Marcus Daniels wrote:
"[..] with a bit of [artificial] intelligence and rudimentary
communication skills"
Right tool for that job.. But how do you build an army of bots that
can enlighten instead of just confuse?
Marcus
------------------------------------------------------------------------
*From:*Friam <[email protected]> on behalf of Joe Spinden
<[email protected]>
*Sent:* Sunday, November 20, 2016 11:12:04 AM
*To:* The Friday Morning Applied Complexity Coffee Group
*Subject:* [FRIAM] Automated Pro-Trump Bots Overwhelmed Pro-Clinton
Messages, Researchers Say
For discussion ??:
http://www.nytimes.com/2016/11/18/technology/automated-pro-trump-bots-overwhelmed-pro-clinton-messages-researchers-say.html
--
Joe
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Joe
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