Social media has become a part of everyday life. If you
have a Facebook or Twitter account, you’re probably even
familiar with posts that show a friend’s exact location.
To deal with this issue, a University of Southern California
(USC) researcher has created an application that lets you
test your own location footprint.
Graduate student Chris Weidemann conducted the study that
sampled 15 million tweets. What he found was that some
Twitter users may be inadvertently revealing their locations
through various means, such as through the metadata in their
photos or by naming a specific restaurant or hotel where
they are.
“There are all sorts of information that can be gleaned from
things outside of the tweet itself," said Weidemann.
Twitter has about 500 million active users that are
predicted to produce a total of 72 billion tweets in 2013.
Only about 6% of these Twitter users actually choose to
broadcast their location with every tweet, but even people
who don’t choose to share than information can let others
know where they are.
In order to understand how publicly accessible data works,
Weidemann created an application called Twitter2GIS that can
analyze the metadata collected by Twitter (this information
is generated by Twitter’s application programming
interface). He then processed the information with a
software program that identifies the trends.
In his one week sampling period, he found that about 20% of
the tweets actually showed a user’s location so accurately
that you could locate their exact street or even better.
A lot of users gave their location willingly by using their
GPS function. However, 2.2% of all tweets (about 4.4 million
per day) provided “ambient” location data, which implies
that users may not even be aware that they’re divulging this
information.
“The downside is that mining this kind of information can
also provide opportunities for criminal misuse of data,”
said Weidemann.
The Twitter2GIS application is now available to the public
so you can view your own location footprint.
Try out Weidemann’s beta version of the Twitter2GIS and
give him some feedback.
Story via
University of Southern California.