Re: [Wikimedia-l] Community Wishlist Survey: Top 10 wishes of 2017!

2017-12-13 Thread Yuri Astrakhan 
Denny, thanks for organizing and publishing!

You mentioned that the comm-tech team is the one "responsible for
investigating and addressing the top 10 wishes". I think the community
views WMF as more of a monolith, and I hope these votes have wider impact
on foundation priorities.  After all, commtech is only about 3% of the
staff (10 out of 291 [1]). I surely hope there is significantly more than
3% to tackle community wishes.

I think that by voting for something, the community would like WMF to
prioritize these directions above others in terms of new development work.
In other words, community speaks of **what** we think are the most
important projects, and WMF thinks of **how** it gets done - e.g. by
allocating resources, setting up a community tech team, realigning the
goals of the other teams, hiring contractors, etc etc.  It would be strange
if foundation spent significant resources on a project with marginal
interest, while ignoring community priorities.

Obviously this only applies to the new software developments, not any of
the maintenance work foundation has to do.

Thanks!!

--[[user:yurik]]

[1]:  https://wikimediafoundation.org/wiki/Staff_and_contractors

On Wed, Dec 13, 2017 at 9:29 PM, Danny Horn  wrote:

> Hi everyone,
>
> The Community Tech team is happy to announce the top 10 wishes from the
> 2017
> Community Wishlist Survey!
>
> More than 1,100 people participated in the survey this year -- proposing,
> discussing and voting on 214 ideas. There was a two-week period in November
> to submit and discuss proposals, followed by two weeks of support voting.
> The top 10 proposals with the most support votes now become Community
> Tech's backlog of projects to evaluate and address.
>
> And here's the new top 10:
>
> #1. Maps improvements (154 support votes)
> #2. Ping users from the edit summary (127)
> #3. Programs and events dashboard (111)
> #4. Blame tool (110)
> #5. Infobox wizard (106)
> #6. Article Alerts for more languages (102)
> #7. Auto-save edits (96)
> #7. Thanks notification for log entries (tie, 96)
> #9. SVG translation (94)
> #10. Commons deletion notification bot (91)
>
> You can see the whole list here, with links to proposals, project pages and
> Phabricator tickets:
> https://meta.wikimedia.org/wiki/2017_Community_Wishlist_Survey/Results
>
> So what happens next?
>
> In 2018, the Community Tech team is responsible for investigating and
> addressing the top 10 wishes. If there's a wish in the top 10 that we can't
> work on, because it's unfeasible or because another group is working on it,
> then we'll explain why we can't.
>
> To get updates on our progress:
>
> There are project pages for each of the top 10 wishes, which you can put on
> your watchlist. We'll update them as the project progresses. (At time of
> writing, these are just skeletons; actual information on each project is
> still to come.) Feel free to post questions and suggestions on the project
> talk pages: https://meta.wikimedia.org/wiki/Category:Community_Tech_-
> _Current_projects
>
> If you're familiar with the Phabricator ticketing system, the main Phab
> task for each wish is noted on the Results page. You can also subscribe to
> those tickets for updates.
>
> We also publish several status reports through the year, to keep people
> updated. You can watch the main Community Tech page for updates:
> https://meta.wikimedia.org/wiki/Community_Tech
>
> There are more questions and answers on the Wishlist Survey FAQ:
> https://meta.wikimedia.org/wiki/2017_Community_Wishlist_Survey/FAQ
>
> Thanks to everybody who proposed, discussed, debated and voted on ideas in
> this year's Wishlist Survey!
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[Wikimedia-l] Community Wishlist Survey: Top 10 wishes of 2017!

2017-12-13 Thread Danny Horn 
Hi everyone,

The Community Tech team is happy to announce the top 10 wishes from the 2017
Community Wishlist Survey!

More than 1,100 people participated in the survey this year -- proposing,
discussing and voting on 214 ideas. There was a two-week period in November
to submit and discuss proposals, followed by two weeks of support voting.
The top 10 proposals with the most support votes now become Community
Tech's backlog of projects to evaluate and address.

And here's the new top 10:

#1. Maps improvements (154 support votes)
#2. Ping users from the edit summary (127)
#3. Programs and events dashboard (111)
#4. Blame tool (110)
#5. Infobox wizard (106)
#6. Article Alerts for more languages (102)
#7. Auto-save edits (96)
#7. Thanks notification for log entries (tie, 96)
#9. SVG translation (94)
#10. Commons deletion notification bot (91)

You can see the whole list here, with links to proposals, project pages and
Phabricator tickets:
https://meta.wikimedia.org/wiki/2017_Community_Wishlist_Survey/Results

So what happens next?

In 2018, the Community Tech team is responsible for investigating and
addressing the top 10 wishes. If there's a wish in the top 10 that we can't
work on, because it's unfeasible or because another group is working on it,
then we'll explain why we can't.

To get updates on our progress:

There are project pages for each of the top 10 wishes, which you can put on
your watchlist. We'll update them as the project progresses. (At time of
writing, these are just skeletons; actual information on each project is
still to come.) Feel free to post questions and suggestions on the project
talk pages: https://meta.wikimedia.org/wiki/Category:Community_Tech_-
_Current_projects

If you're familiar with the Phabricator ticketing system, the main Phab
task for each wish is noted on the Results page. You can also subscribe to
those tickets for updates.

We also publish several status reports through the year, to keep people
updated. You can watch the main Community Tech page for updates:
https://meta.wikimedia.org/wiki/Community_Tech

There are more questions and answers on the Wishlist Survey FAQ:
https://meta.wikimedia.org/wiki/2017_Community_Wishlist_Survey/FAQ

Thanks to everybody who proposed, discussed, debated and voted on ideas in
this year's Wishlist Survey!
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[Wikimedia-l] Invitation to discussion about Blocking Tools

2017-12-13 Thread Sydney Poore 
Hello all,

The Wikimedia Foundation's Anti-Harassment Tools team is inviting all
Wikimedians to discuss new blocking tools and improvements to existing
blocking tools

in December 2017 for development work in early 2018.

*Other ways that you can help*

*Spread the word that the consultation is happening; this is an important
discussion for making decisions about improving the blocking tools.

*Help with translation.

*If you know of current or previous discussions about blocking tools that
happened on your wiki, share the links

.

*Help summarize the discussion and share back to your wiki.

.

For the Anti-Harassment Tools team,

Sydney
-- 
Sydney Poore
Community Advocate,
Wikimedia Foundation
Support and Safety team;
Anti-Harassment Tools team
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Re: [Wikimedia-l] December 2017 Research Showcase

2017-12-13 Thread Lani Goto 
Hi everyone, the showcase will be starting in 30 minutes.

On Mon, Dec 11, 2017 at 5:22 PM, Lani Goto  wrote:

> Apologies, a clarification about the time:
>
> This will be at 11:30AM (PST) 19:30 UTC.
>
> On Mon, Dec 11, 2017 at 4:21 PM, Lani Goto  wrote:
>
>> Hi Everyone,
>>
>> The next Research Showcase will be live-streamed this Wednesday, December
>> 13, 2017 at 11:15 AM (PST) 18:15 UTC.
>>
>> YouTube stream: https://www.youtube.com/watch?v=OoVwus1Owtk
>>
>> As usual, you can join the conversation on IRC at #wikimedia-research.
>> And, you can watch our past research showcases here.
>>
>> This month's presentation:
>> *The State of the Article Expansion Recommendation System*
>> By Leila Zia
>> Only 1% of English Wikipedia articles are labeled with quality class Good
>> or better, and 37% of the articles are stubs. We are building an article
>> expansion recommendation system to change this in Wikipedia, across many
>> languages. In this presentation, I will talk with you about our current
>> thinking of the vision and direction of the research that can help us build
>> such a recommendation system, and share more about one specific area of
>> research we have heavily focused on in the past months: building a
>> recommendation system that can help editors identify what sections to add
>> to an already existing article. I present some of the challenges we faced,
>> the methods we devised or used to overcome them, and the result of the
>> first line of experiments on the quality of such recommendations (teaser:
>> the results are really promising. The precision and recall at 10 is 80%.)
>>
>>
>> --
>> Lani Goto
>> Project Assistant, Engineering Admin
>>
>
>
>
> --
> Lani Goto
> Project Assistant, Engineering Admin
>



-- 
Lani Goto
Project Assistant, Engineering Admin
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