Mentoring new editors
on Wikipedia
Speakers
Wednesday, August 16 (14:15-15:15)
Kirsten Stoller
WMF Growth team Senior Product Manager
Martin Urbanec
WMF Growth team
Senior Software Engineer
Agenda
Presentation: ~15 minutes
Q & A: ~ 10 minutes
Workshop: ~35 minutes
Why are we here?
We care about the sustainability of Wikipedia, and are concerned about newcomer retention.
Why are you here?
Raise your hand if you help newcomers or provide mentorship is some way within the Wikimedia movement.
Why are you here?
Raise your hand if you are currently a Mentor using Growth’s mentorship tools on Wikipedia.
Is Mentorship available at my Wiki?
The following wikis have Growth’s Mentorship features enabled:
Albanian Wikipedia
Arabic Wikipedia
Armenian Wikipedia
Azerbaijani Wikipedia
Basque Wikipedia
Bengali Wikipedia
Central Kurdish Wikipedia
Chinese Wikipedia
Croatian Wikipedia
Czech Wikipedia
Dutch Wikipedia
English Wikipedia*
French Wikipedia
French Wiktionary
German Wikipedia
Greek Wikipedia
Hebrew Wikipedia
Hungarian Wikipedia
Indonesian Wikipedia
Italian Wikipedia
Kannada Wikipedia
Kashmiri Wikipedia
Korean Wikipedia
Kurdish Wikipedia
Latvian Wikipedia
Moroccan Arabic Wikipedia
Nepali Wikipedia
Northern Frisian Wikipedia
Northern Sami Wikipedia
Norwegian Bokmål Wikipedia
Polish Wikipedia
Portuguese Wikipedia
Romanian Wikipedia
Russian Wikipedia
Serbian Wikipedia
Slovak Wikipedia
Spanish Wikipedia
Swahili Wikipedia
Swedish Wikipedia
Telugu Wikipedia
Test Wikipedia
Tumbuka Wikipedia
Turkish Wikipedia
Ukrainian Wikipedia
Vietnamese Wikipedia
Romanian Wikipedia
Russian Wikipedia
Serbian Wikipedia
Slovak Wikipedia
Spanish Wikipedia*
Swahili Wikipedia
Swedish Wikipedia
Telugu Wikipedia
Test Wikipedia
Tumbuka Wikipedia
Turkish Wikipedia
Ukrainian Wikipedia
Vietnamese Wikipedia
~50 wikis
~800 Mentors
Editing is complicated for newcomers
New editors face three barriers when getting started
“What is an infobox?”
Technical
“What is notability?”
Conceptual
“Why are people so mean?”
Cultural
What do new editors need?
New editor needs: | Growth team tool |
In-context help: help relevant to the activity they are doing at that moment. | |
Human-to-human help: One-on-one help from an experienced community member. | |
Task recommendations: suggestions for specific tasks based on their interests and skills. |
New Editor Experiences, August 2017 | By Reboot and the Wikimedia Foundation
Mentorship
Hypotheses:
If we improve mentorship tools, then mentors can provide a better experience for newcomers.
If newcomers have a better experience, then new editor retention will improve.
New Wikipedia editors, Molly Fuller Abbott, CC BY-SA 4.0, via Wikimedia Commons
Mentorship
Mentorship tools are available at all Wikipedias, you might just need to set it up.
Experienced wikipedians volunteer as Wikipedia mentors
Every mentor gets assigned newcomers (mentees) randomly
Special:ManageMentors page at English Wikipedia
Special:EnrollAsMentor at Test Wikipedia
Mentorship
Admins can edit mentorship options of any user, or fully remove mentors.
Upon mentor removal, mentees are reassigned to a different mentor.
Admin interface for editing another mentor
Admin interface for removing another mentor
Mentor Dashboard
A dashboard for experienced users who signed up to become mentors to newcomers.
Mentors to have a central place to access tools and settings for mentoring newcomers.
It allows mentors opportunities to proactively reach out to help newcomers.
Mentors encourage newcomers
Hypothesis:
If Mentors proactively send new editors supportive messages, new editors will be more likely to continue editing.
Plan:
One part of the Positive Reinforcement project was to add a new module to the Mentor dashboard and send mentors notifications when they have “praise-worthy” mentees.
Thoughts from Mentors:
“Mentors are the first guard of the wiki, avoiding many of those users to create bad content that would need to be deleted otherwise. So, in theory, mentors are reducing the workload of patrollers and admins.”
-Spanish Wikipedia Mentor
Pat Hadley guides new Wikipedia editors, Molly Fuller Abbott, CC BY-SA 4.0, via Wikimedia Commons
Mentorship Metrics
A WMF data scientist gathered registrations from Spanish and English Wikipedia from June 1 to July 15, 2023. English and Spanish Wikipedia don’t yet provide Mentorship to 100% of new accounts, and since mentorship is randomly assigned this is a natural A/B test.
Our dataset contains 19,305 Spanish accounts and 114,512 English accounts, of which 50.0% and 11.2% respectively had Mentorship enabled.
Further details:
mediawiki.org/wiki/Growth/Positive_reinforcement/Mentorship_preliminary_analysis,_August_2023
Mentorship Metrics
What proportion of newcomers with access to a mentor, ask them a question?
Mentorship Metrics
What proportion of newcomers with access to a mentor, ask them a question?
Mentorship Metrics
Is asking their mentor a question their first edit?
Mentorship Metrics
Is asking their mentor a question their first edit?
Mentorship Metrics
Does mentorship increase the number of newcomers who edit for the first time?
Mentorship Metrics
Does mentorship increase the number of newcomers who edit for the first time?
Activation: making an edit within 24 hours of registration.
Registration platform
No Mentorship
With Mentorship
Mentorship Metrics
How does Mentorship impact retention, productivity, and revert rates?
Mentorship Metrics
How does Mentorship impact retention, productivity, and revert rates?
Retention
We find no difference in the retention of newcomers who have access to a mentor compared to those who do not, when keeping their first day activity constant.
Productivity
We find conflicting patterns of productivity between English and Spanish Wikipedia.
Revert rate
We find no difference in the revert rate between newcomers who have access to a mentor and those who do not, when keeping their activity constant.
Further details:
mediawiki.org/wiki/Growth/Positive_reinforcement/Mentorship_preliminary_analysis,_August_2023
Mentorship Metrics
It’s hard to really impact editor retention!
Active editors on English Wikipedia
Active editors on Spanish Wikipedia
Graphs from stats.wikimedia.org
Thoughts from Mentors:
“I truly believe that the combination between virtual mentorship and in-person guidance could make the difference. At my user group we add all the attendants of our workshops as mentees… they feel relief to see our username in the welcome page.”
-Spanish Wikipedia Mentor & Wikiesfera organizer
PatriHorrillo, CC BY-SA 4.0 via Wikimedia Commons
Sign up!
It’s easy! Simply visit Special:EnrollAsMentor
on your home wiki.
Set up Mentorship at your Wiki!
1. Agree on having mentorship: Start a conversation at the relevant places at your wiki & recruit mentors.
2. Activate mentorship: At your wiki, an interface admin can turn on the mentorship system, via Special:EditGrowthConfig. Add some criteria to define who can be a mentor.
3. Mentors sign up
Editors can sign up to be Mentor: Special:EnrollAsMentor
New account holders see a message from their Mentor on their Homepage
Q & A
Do you have any questions?
Discussion
Independent brainstorm: Spend 5 minutes adding sticky note answers or ideas in response to questions
Add your ideas (sticky notes) to the associated poster
Discussion groups: pick a topic you want to discuss in more detail.
Discussion feedback
What is one thing your wiki does well in terms of welcoming or onboarding newcomers?
Discussion feedback
How can we recruit more Mentors and ensure Mentorship is rewarding and engaging for Mentors?
Discussion feedback
How can we make Mentorship more effective? How should Mentorship tools be improved?
Thank you!
Are you interested in becoming a Mentor or setting up Mentorship?
Learn more: mediawiki.org/wiki/Growth
Appendix: Mentorship Metrics
Methodology
We gathered a dataset of registrations from English and Spanish Wikipedia spanning June 1 to July 15 2023. During this time period, 50% of newcomers on Spanish Wikipedia were randomly assigned to have access to a mentor, while the other 50% did not get a mentor. On English Wikipedia, 10% of newcomers would randomly get a mentor until July 11, at which point it increased to 25% (ref).
Our data gathering excludes known test accounts, bots, users registered through Wikipedia's API (these are usually mobile app accounts), and users not registered on the given wiki (i.e. autocreated accounts and those registered by another user). We also excluded users with a non-standard mentorship setting (there were a handful of these on each wiki).
The dataset used in this analysis contains 19,305 Spanish accounts and 114,512 English accounts, of which 50.0% and 11.2% respectively had Mentorship enabled.
In the above analysis of mentorship's effect on the key Growth metrics of activation, retention, productivity, and revert rate, we make extensive use of regression models. Activation and retention are yes/no outcomes, for which we use a logistic regression model. Productivity is measured by a count of the number of edits, which is known to have a long tail distribution. We therefore use a negative binomial model for productivity. Our revert rate analysis uses a zero-one-inflated beta distribution. This is because revert rates calculated across a time window tends to fall into one of three categories: 1) the user has all of their edits reverted (one-inflation), 2) the user has none of their edits reverted (zero-inflation), and 3) the user has some of their edits reverted (resulting in a beta distribution).
Further details:
mediawiki.org/wiki/Growth/Positive_reinforcement/Mentorship_preliminary_analysis,_August_2023