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 <[email protected]>
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." <[email protected]>
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>
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