Dear Sir,
I thank you for your answer. I saw what you are doing concerning the Metrics Kit. I
propose that you create a tool in which you apply Burst Detection Techniques on author
co-occurrence in the talk pages of wikis. In fact, if two users are writing in the same
pages within a very short period of time, there is a significant probability that they are
in edit war, mutual harassment or discussing an absolutely interesting issue. If you are
interested in the idea, you are free to develop it using simple coding, machine learning
and APIs and publish it in a conference paper. However, you should just involve our names
in the list of the co-authors as we are the creators of the original idea. We are
Houcemeddine Turki (Faculty of Medicine of Sfax, University of Sfax, Sfax, Tunisia) and
Seyed Mohammad Jafar Jalali (Institute for Intelligent Systems Research and Innovation,
Deakin University, Melbourne, Australia). If you need a further development of this idea,
feel free to contact us and we will answer your questions.
Yours Sincerely,
Houcemeddine Turki
Envoyé depuis mon appareil Samsung
-------- Message d'origine --------
De : Joe Sutherland <jsutherland(a)wikimedia.org>
Date : 05/10/2018 22:29 (GMT+01:00)
À : "A mailing list for the Analytics Team at WMF and everybody who has an interest
in Wikipedia and analytics." <analytics(a)lists.wikimedia.org>
Objet : [Analytics] Community health metrics kit: Input needed!
Hello everyone - apologies for cross-posting! TL;DR: We would like your feedback on our
Metrics Kit project. Please have a look and comment on Meta-Wiki:
https://meta.wikimedia.org/wiki/Community_health_initiative/Metrics_kit
The Wikimedia Foundation's Trust and Safety team, in collaboration with the Community
Health Initiative, is working on a Metrics Kit designed to measure the relative
"health"[1] of various communities that make up the Wikimedia movement:
https://meta.wikimedia.org/wiki/Community_health_initiative/Metrics_kit
The ultimate outcome will be a public suite of statistics and data looking at various
aspects of Wikimedia project communities. This could be used by both community members to
make decisions on their community direction and Wikimedia Foundation staff to point
anti-harassment tool development in the right direction.
We have a set of metrics we are thinking about including in the kit, ranging from the
ratio of active users to active administrators, administrator confidence levels, and
off-wiki factors such as freedom to participate. It's ambitious, and our methods of
collecting such data will vary.
Right now, we'd like to know:
* Which metrics make sense to collect? Which don't? What are we missing?
* Where would such a tool ideally be hosted? Where would you normally look for statistics
like these?
* We are aware of the overlap in scope between this and Wikistats
<https://stats.wikimedia.org/v2/#/all-projects> — how might these tools coexist?
Your opinions will help to guide this project going forward. We'll be reaching out at
different stages of this project, so if you're interested in direct messaging going
forward, please feel free to indicate your interest by signing up on the consultation
page.
Looking forward to reading your thoughts.
best,
Joe
P.S.: Please feel free to CC me in conversations that might happen on this list!
[1] What do we mean by "health"? There is no standard definition of what makes a
Wikimedia community "healthy", but there are many indicators that highlight
where a wiki is doing well, and where it could improve. This project aims to provide a
variety of useful data points that will inform community decisions that will benefit from
objective data.
--
Joe Sutherland (he/him or they/them)
Trust and Safety Specialist
Wikimedia Foundation
joesutherland.rocks
<http://joesutherland.rocks>