[off topic: It's the size of the images. I sent you a response asking you
to try re-sending with smaller attachments on March 12th.]
On topic:
Cool! Are you targeting a user type or workflow with this system? If not,
it seems like it would be useful to reach out to people who moderate
content disputes as it seems like this visualization will make it easier to
figure who has taken a side and who hasn't.
-Aaron
On Tue, Apr 7, 2015 at 5:57 AM, Flöck, Fabian <Fabian.Floeck(a)gesis.org>
wrote:
Sorry for the repost, that email apparently got stuck
in the mailinglist
queue when I sent it originally and just now got released for some reason.
Cheers, Fabian
On 12.03.2015, at 12:40, "Flöck, Fabian" <Fabian.Floeck(a)gesis.org>
wrote:
Hi all, we produced a prototype of an editor-editor interaction network
visualization for individual articles, based on the word/tokens deleted and
reintroduced by editors. It will be presented as a demo at the WWW
conference this year [1], but we would love to also get some feedback on it
from this list. It's in an early stage and pretty slow when loading up, so
have patience when you try it out here:
http://km.aifb.kit.edu/sites/whovis/index.html, and be sure to read the
"how to" section on the site. Alternatively you can watch the
(semi-professional) screencast I did :P, it explains most of the
functions.
The (disagreement) interactions are based on a extended version of the
extraction of authorship we do with wikiwho [2], and the graph drawing is
done almost exactly after the nice method proposed by Brandes et al. [3] .
The code can be found at github, both for the interaction-extraction
extension of wikiwho [4] and the visualization itself [5], which basically
produces an json output for feeding the D3 visualization libraries we use.
We have yet to generate output for more articles, so far we only show a
handful for demonstration purposes. The whole thing also fits nicely (and
was supposed to go along) with the IEG proposal that Pine had started on
editor interaction [6] .
word provenance/authorship API prototype:
Also, we have worked a bit on our early prototype for an API for word
provenance/authorship:
You can get word/token-wise information from which revision what content
originated (and thereby which editor originally authored the word) at
http://193.175.238.123/wikiwho/wikiwho_api.py?revid=<REV_ID>"&am…
(<ARTICLENAME> -> name of the article in ns:0, in the english wikipedia,
<REV_ID> -> rev_id of that article for which you want the authorship
information, format is currently only json)
Example:
http://193.175.238.123/wikiwho/wikiwho_api.py?revid=649876382&name=Laur…
Output format is currently:
{"tokens": [{"token": "<FIRST TOKEN IN THE WIKI MARKUP
TEXT>",
"author_name": "<NAME OF AUTHOR OF THE TOKEN>",
"rev_id": "<REV_ID WHEN
TOKEN WAS FIRST ADDED>"}, {"token": "<SECOND TOKEN IN THE WIKI
MARKUP
TEXT>", "author_name": "<NAME OF AUTHOR OF THE TOKEN>",
"rev_id": "<REV_ID
WHEN TOKEN WAS FIRST ADDED>"}, {"token": "<THIRD TOKEN …
… ], "message": null, "success": "true",
"revision": {"article": "<NAME
OF REQUESTED ARTICLE>", "time": "<TIMESTAMP OF REQUESTED
REV_ID>",
"reviid": <REQUESTED REV_ID>, "author": "<AUTHOR OF
REQUESTED REV_ID>"}}
DISCLAIMER: there are problems with getting/processing the XML for
larger articles right now, so don't be surprised if that gives you an error
sometimes (i.e. querying "Barack Obama" for instance and similar sizes will
*not* succeed for higher revision numbers). Also, we are working on the
speed and providing more precomputed articles (right now almost all are
computed on request, although we save intermediary results). Still, for
most articles it works fine and the output has been tested for accuracy
(cf. [2]).
At some point in the future, this API will also be able to deliver the
interaction data that the visualization is build on.
I'm looking forward to your feedback :)
Cheers,
Fabian
[1]
http://f-squared.org/wikiwho/demo32.pdf
[2]
http://f-squared.org/wikiwho/
[3]
http://dl.acm.org/citation.cfm?id=1526808
[4]
https://github.com/maribelacosta/wikiwho
[5]
https://github.com/wikiwho/whovis
[6]
https://meta.wikimedia.org/wiki/Grants:IEG/Editor_Interaction_Data_Extracti…
--
Fabian Flöck
Research Associate
Computational Social Science department @GESIS
Unter Sachsenhausen 6-8, 50667 Cologne, Germany
Tel: + 49 (0) 221-47694-208
fabian.floeck(a)gesis.org
www.gesis.org
www.facebook.com/gesis.org
<alberto185_multipolar.png>
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Cheers,
Fabian
--
Fabian Flöck
Research Associate
Computational Social Science department @GESIS
Unter Sachsenhausen 6-8, 50667 Cologne, Germany
Tel: + 49 (0) 221-47694-208
fabian.floeck(a)gesis.org
www.gesis.org
www.facebook.com/gesis.org
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