[Air-L] gnip now offering geolocation of twitter profiles and text

[kalev leetaru]

Alex, while it is of course impossible to know the true representativeness
of Twitter and in particular even the representativeness of users with the
different classes of geographic fields, two key findings are that
sensor-based tweets (ie, Exact Location tweets via GPS and cellular
triangulation) are highly spatially correlated with the distribution of
power via the NASA Night Lights imagery, suggesting that there is not a
strong macro-level spatial skew in the availability of sensor-based tweets
(ie, that Western users are more likely to have GPS tagging of their tweets
enabled) and secondly, that the results of geocoding user profiles is, in
turn, highly spatially correlated with sensor-based tweets.

~Kalev



On Fri, Aug 23, 2013 at 6:31 PM, Alex Leavitt <alexleavitt at gmail.com> wrote:

> Very interesting. Wonder how they're dealing with the limitations.
>
> http://dfreelon.org/2013/05/12/twitter-geolocation-and-its-limitations/
> http://takhteyev.org/papers/Takhteyev-Wellman-Gruzd-2010.pdf
>
> Alexander Leavitt
> PhD Student
> USC Annenberg School for Communication & Journalism
> http://alexleavitt.com
> Twitter: @alexleavitt
>
>
>
> On Fri, Aug 23, 2013 at 1:59 PM, kalev leetaru <kalev.leetaru5 at gmail.com>wrote:
>
>> Hi everyone, for those of you trying to map tweets in your work, I just
>> saw
>> that GNIP is now offering geographic enrichment of their Twitter stream
>> that geocodes both the Location information in user profiles AND the tweet
>> text itself (it separates the two) and makes this available as lat/long
>> data for mapping/filtering/etc alongside the traditional sensor-based and
>> software-set Exact Location and Place geographic fields.
>>
>> http://blog.gnip.com/twitter-geo-data-enrichment/
>>
>> While GNIP is using their own engine for this, you can see an overview of
>> what the profile and tweet text geography of Twitter looks like in my
>> paper
>> from earlier this year:
>>
>> http://firstmonday.org/ojs/index.php/fm/article/view/4366/3654
>>
>> Thought I would share this with the list since using GNIP's stream you can
>> now essentially leave the geographic coding to them and just get an
>> additional set of metadata for each tweet capturing what geographic
>> information it contains, making it trivial to map tweets both by where
>> they
>> are coming from and where they are talking about...
>>
>>
>> Kalev Leetaru
>> Yahoo! Fellow in Residence
>> Institute for the Study of Diplomacy
>> Edmund A. Walsh School of Foreign Service
>> Georgetown University
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>