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Metrics standardization
Dario Taraborelli • Aaron Halfaker
Wikimedia Research and Data showcase
March 2014
summer 2013
cohort-level metrics
cohort-level metrics project-level metrics
project-level metrics
project-level metrics
ENWIKI New Editors / day 1D: 21% 30D: 18% YTD:
20%
Editor engagement vital signs
key performance indicators for user engagement, community and content growth
aggregated daily / weekly / monthly
for every single Wikimedia project
https://www.mediawiki.org/wiki/Analytics/Epics/Editor_Engagement_Vital_Signs
02/01: 1240
•
summer 2014
Key metrics
New users Community Content Curation
Newly registered users
New editors
Productive new editors
Surviving new editors
...
Editors
Active editors
Very active editors
IP editors
Bots
Page creators
...
Edits
Bot edits
Uploads
Pages
...
Page deletions
Reverts
...
https://meta.wikimedia.org/wiki/Research:Metrics_standardization
Relevant
Measure quantities that describe important phenomena
Replicable
Make research easily reproducible and verifiable
Transparent
Provide formal specifications, remove ambiguity
Consistent
Replace proprietary, ad-hoc metric definitions; compare apples to apples
Robust
Make metrics replicable via multiple data sources at any point in time
Granular
Computable at different time scales
Rationale
Anatomy of a metric 1. specification
Anatomy of a metric 2. visualizations
registration
time
Activation Trial Survival
Anatomy of a metric 2. visualizations
New editor
Productive new editor
Surviving new editor
Anatomy of a metric 3. discussion
Anatomy of a metric 4. sensitivity analysis
Sensitivity analysis
https://meta.wikimedia.org/wiki/Research:Productive_new_editor
Does new editor productivity vary when we measure it over the first day or the first week?
Sensitivity analysis
https://meta.wikimedia.org/wiki/Research:New_editor
Does it really matter to limit new editor activation to main namespace edits only?
Sensitivity analysis
https://meta.wikimedia.org/wiki/Research:Surviving_new_editor
Does the length of the trial and survival period affect the measurement of new editor survival?
Why does this matter at all?
1. Data exploration
“Newly registered users on German and Dutch Wikipedia have a higher activation
rate than newbies on English Wikipedia”
“Spanish Wikipedia adds every day twice as many new editors than German
Wikipedia, despite having only half its new user activation rate”
2. Natural experiments
“A change in abuse filter rules on the Italian Wikipedia significantly increased new
editor survival”
Metric specification
Sensitivity analysis
Parameter recommendation
Release
Evaluation
Evaluation
Metric specification
Sensitivity analysis
Parameter recommendation
Release
Evaluation
Evaluation
feedback
Questions?
dario@wikimedia.org
ahalfaker@wikimedia.org
Read more
https://meta.wikimedia.org/wiki/Research:Metrics_standardization
Image credits
W.Wood (1839) Index Entomologicus
http://dx.doi.org/10.5962/bhl.title.12503

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Metrics standardization. Wikimedia Research & Data Showcase, March 2014