I am doing a PhD on online civic participation project
(e-participation). Within my research, I have carried out a user
survey, where I asked how many people ever edited/created a page on a
Wiki. Now I would like to compare the results with the overall rate of
wiki editing/creation on country level.
I've found some country-level statistics on Wikipedia Statistics (e.g.
3,000 editors of Wikipedia articles in Italy) but data for UK and
France are not available since Wikipedia provides statistics by
languages, not by countries. I'm thus looking for statistics on UK and
France (but am also interested in alternative ways of measuring wiki
editing/creation in Sweden and Italy).
I would be grateful for any tips!
Sunny regards, Alina
European University Institute
WMF researchers have agreed to participate in an office hour about WMF research projects and methodologies.
The currently scheduled participants are:
* Aaron Halfaker, Research Analyst (contractor)
* Jonathan Morgan, Research Strategist (contractor)
* Evan Rosen, Data Analytics Manager, Global Development
* Haitham Shammaa, Contribution Research Manager
* Dario Taraborelli, Senior Research Analyst, Strategy
We'll meet on IRC in #wikimedia-office on April 22 at 1800 UTC. Please join us.
I'm starting a new project, a wiki search engine. It uses MediaWiki,
Semantic MediaWiki and other minor extensions, and some tricky templates
I remember Wikia Search and how it failed. It had the mini-article thingy
for the introduction, and then a lot of links compiled by a crawler. Also
something similar to a social network.
My project idea (which still needs a cool name) is different. Althought it
uses an introduction and images copied from Wikipedia, and some links from
the "External links" sections, it is only a start. The purpose is that
community adds, removes and orders the results for each term, and creates
redirects for similar terms to avoid duplicates.
Why this? I think that Google PageRank isn't enough. It is frequently
abused by farmlinks, SEOs and other people trying to put their websites
Search "Shakira" in Google for example. You see 1) Official site, 2)
Wikipedia 3) Twitter 4) Facebook, then some videos, some news, some images,
Myspace. It wastes 3 or more results in obvious nice sites (WP, TW, FB).
The wiki search engine puts these sites in the top, and an introduction and
related terms, leaving all the space below to not so obvious but
interesting websites. Also, if you search for "semantic queries" like
"right-wing newspapers" in Google, you won't find real newspapers but
"people and sites discussing about ring-wing newspapers". Or latex and
LaTeX being shown in the same results pages. These issues can be resolved
with disambiguation result pages.
How we choose which results are above or below? The rules are not fully
designed yet, but we can put official sites in the first place, then .gov
or .edu domains which are important ones, and later unofficial websites,
blogs, giving priority to local language, etc. And reaching consensus.
We can control aggresive spam with spam blacklists, semi-protect or protect
highly visible pages, and use bots or tools to check changes.
It obviously has a CC BY-SA license and results can be exported. I think
that this approach is the opposite to Google today.
For weird queries like "Albert Einstein birthplace" we can redirect to the
most obvious results page (in this case Albert Einstein) using a hand-made
redirect or by software (some little change in MediaWiki).
You can check a pretty alpha version here http://www.todogratix.es (only
Spanish by now sorry) which I'm feeding with some bots.
I think that it is an interesting experiment. I'm open to your questions
Emilio J. Rodríguez-Posada. E-mail: emijrp AT gmail DOT com
Pre-doctoral student at the University of Cádiz (Spain)
Projects: AVBOT <http://code.google.com/p/avbot/> |
| WikiEvidens <http://code.google.com/p/wikievidens/> |
| WikiTeam <http://code.google.com/p/wikiteam/>
Personal website: https://sites.google.com/site/emijrp/
***** Apologies for multiple copies *****
You are cordially invited to submit a contribution to "Collective Behaviors and
Networks", a one-day satellite event of the 2013 European Conference on Complex
Systems (ECCS'13), to be held in Barcelona, September 19, 2013.
Goal of this workshop is to provide a discussion venue about advances in the
study of networks applied to the dynamics of social collective behaviors.
Particular attention will be devoted, but not limited to, the following topics:
- Group formation, evolution and group behavior analysis.
- Modeling, tracking and forecasting dynamic groups in social media.
- Community detection and dynamic community structure analysis.
- Social simulation, cultural, opinion, and normative dynamics.
- Empirical calibration and validation of agent-based social models.
- Models of social capital, collective action, social movements.
- Coevolution of network and behavior.
More information on COVEnANT2013 can be found here: http://covenant2013.com
More information on ECCS'13 can be found here: http://eccs13.eu
Participants are invited to submit their contributions via the EasyChair system
at the following link: https://www.easychair.org/conferences/?conf=covenant2013
Contributions must be at most 2 pages long, and must provide the following
information: title, list of authors with affiliations, and abstract. Accepted
format is PDF only.
More information, about selection, registration, etc., can be found here:
May 17, 2013
Abstract submission deadline
June 19, 2013
Notification of acceptance
September 19, 2013
In order to encourage the development of predictive, data-driven models of
collective phenomena, a link prediction competition will be held as part of
the meeting. Monetary prizes will be awarded to the best contributions,
which will be evaluated according to rigorous scientific criteria by the
program committee of the event. 1st prize: US$800, 2nd prize: US$200.
Further information (task, data set, dates) to be released soon.
Yong-Yeol Ahn, Indiana University, US
J. Doyne Farmer, University of Oxford, UK
Dirk Helbing, ETH Zürich, Switzerland
Jure Leskovec, Stanford University, US
Alessandro Vespignani, Northeastern University, US
The best original contributions will be invited to submit an extended
version for inclusion in a special issue of EPJ Data Science (Springer).
Giovanni Luca Ciampaglia, Indiana University, US
Emilio Ferrara, Indiana University, US
Alessandro Flammini, Indiana University, US
Filippo Menczer, Indiana University, US
Luca M. Aiello, Yahoo Research Barcelona, Spain
Andrea Baronchelli, Northwestern University, US
Pasquale De Meo, University of Messina, Italy
Santo Fortunato, Aalto University, Finland
Jacob Foster, University of Chicago, US
Matteo Gagliolo, Université Libre de Bruxelles, Belgium
Bruno Gonçalves, Aix-Marseille Université, France
Andrea Lancichinetti, Northwestern University, US
Michael Mäs, ETH Zürich, Switzerland
Tamás Nepusz, Eötvös Loránd University, Hungary
Orion Penner, IMT Lucca, Italy
Nicola Perra, Northeastern University, US
Filippo Radicchi, Universitat Rovira i Virgili, Spain
José J. Ramasco, IFISC, Spain
Carlos Roca, Universitat Rovira i Virgili, Spain
Giancarlo Ruffo, University of Turin, Italy
Daniel Villatoro, Barcelona Digital Technology Centre, Spain
Giovanni Luca Ciampaglia
Center for Complex Networks and Systems Research
✎ 910 E 10th St ∙ Bloomington ∙ IN 47408
Ironholds looked at a sample of users with one or more edits to enwiki
who were blocked in 2006-2012. The short version: spam is a bigger
problem than vandalism or sockpuppetry, and the spam problem is growing.
Engineering Community Manager