[governance] FBI Wants New App to Wiretap the Internet - reply by February 10
Riaz K Tayob
riaz.tayob at gmail.com
Thu Jan 26 16:06:32 EST 2012
[If this were a developing country...?]
Published on Thursday, January 26, 2012 by Common Dreams
<http://www.commondreams.org>
FBI Wants New App to Wiretap the Internet
'Scraping' social network postings including Facebook and Twitter
- Common Dreams staff
https://www.commondreams.org/headline/2012/01/26-3
The FBI's Strategic Information and Operations Center (SOIC) posted a
'Request for Information (RFI)' online last week seeking companies to
build a social network monitoring system for the FBI. The 12-page
document
<https://www.fbo.gov/index?s=opportunity&mode=form&id=c65777356334dab8685984fa74bfd636&tab=core&_cview=1>
(.pdf) spells out what the bureau wants from such a system and invites
potential contractors to reply by February 10, 2012.
It says the application should provide information about possible
domestic and global threats superimposed onto maps "using mash-up
technology".
It says the application should collect "open source" information and
have the ability to:
* Provide an automated search and scrape capability of social networks
including Facebook and Twitter.
* Allow users to create new keyword searches.
* Display different levels of threats as alerts on maps, possibly
using color coding to distinguish priority. Google Maps 3D and Yahoo
Maps are listed among the "preferred" mapping options.
* Plot a wide range of domestic and global terror data.
* Immediately translate foreign language tweets into English.
It notes that agents need to "locate bad actors...and analyze their
movements, vulnerabilities, limitations, and possible adverse actions".
It also states that the bureau will use social media to create
"pattern-of-life matrices" -- presumably logs of targets' daily routines
-- that will aid law enforcement in planning operations.
* * *
/New Scientist/ magazine *reports*
<http://www.newscientist.com/blogs/onepercent/2012/01/fbi-releases-plans-to-monitor.html>
today:
"These tools that mine open source data and presumably store it for a
very long time, do away with that kind of privacy. I worry about the
effect of that on free speech in the US" -- Jennifer Lynch of the
Electronic Frontier FoundationThe US Federal Bureau of Investigation has
quietly released details of plans to continuously monitor the global
output of Facebook, Twitter and other social networks, offering a rare
glimpse into an activity that the FBI and other government agencies are
reluctant to discuss publicly. The plans show that the bureau believes
it can use information pulled from social media sites to better respond
to crises, and maybe even to foresee them. [...]
The use of the term "publicly available" suggests that Facebook and
Twitter may be able to exempt themselves from the monitoring by making
their posts private. But the desire of the US government to watch
everyone may still have an unwelcome impact, warns Jennifer Lynch
<https://www.eff.org/about/staff/jennifer-lynch> at the *Electronic
Frontier Foundation* <https://www.eff.org/>, a San Francisco-based
advocacy group.
Lynch says that many people post to social media in the expectation that
only their friends and followers are reading, which gives them "the
sense of freedom to say what they want without worrying too much about
recourse," says Lynch. "But these tools that mine open source data and
presumably store it for a very long time, do away with that kind of
privacy. I worry about the effect of that on free speech in the US".
* * *
The BBC *reports* <http://www.bbc.co.uk/news/technology-16738209>:
"Social networks are about connecting people with other people - if one
person is the target of police monitoring, there will be a dragnet
effect in which dozens, even hundreds, of innocent users also come under
surveillance" -- Gus Hosein, Privacy InternationalThe FBI issued the
request three weeks after the US Department of Homeland Security
released a separate report into the privacy implications of monitoring
social media websites.
It justified the principle of using information that users have provided
and not opted to make private.
"Information posted to social media websites is publicly accessible and
voluntarily generated. Thus the opportunity not to provide information
exists prior to the informational post by the user," it says.[...]
The London-based campaign group, *Privacy International*
<https://www.privacyinternational.org/>, said it was worried about the
consequences of such activities.
"Social networks are about connecting people with other people - if one
person is the target of police monitoring, there will be a dragnet
effect in which dozens, even hundreds, of innocent users also come under
surveillance," said Gus Hosein, the group's executive director.
"It is not necessarily the case that the more information law
enforcement officers have, the safer we will be.
"Police may well find themselves overwhelmed by a flood of personal
information, information that is precious to those it concerns but
useless for the purposes of crime prevention."
* * *
The /Fierce Government/ website *reports*
<http://www.fiercegovernmentit.com/story/social-media-primary-source-intel-says-fbi/2012-01-25>
on 'refining raw social media into intelligence gold':
The notion that the future can be predicted by trends expressed in
collective social media output is one that has gained increased currency
in academic writing. A January analysis
<http://www.rand.org/content/dam/rand/pubs/technical_reports/2012/RAND_TR1161.pdf>
(.pdf) published by the Rand Corp. of tweets using the #IranElection
<https://twitter.com/#%21/search/%23IranElection> hashtag during 2009
and early 2010 found a correlation between appearance of swear words and
protests. The study also found a shift that indicated the protest
movement was losing momentum when swearing shifted from curses at the
Iranian President Mahmoud Ahmadinejad to curses at an opposition figure.
A March 2011 paper published in the /Journal of Computational Science/
(abstract
<http://www.scopus.com/record/display.url?eid=2-s2.0-79953102821&origin=inward&txGid=CaBklKH9fO5aqSmcUozjjdv%3a2>)
also posited that movements of the Dow Jones Industrial Average could be
predicted to an accuracy of 86.7 percent by changes of national mood
reflected in Tweets. According <http://www.economist.com/node/18750604>
to /The Economist/, British hedge fund Derwent Capital Markets has
licensed the algorithm to guide the investments of a $41 million fund.
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