Re: [Wiki-research-l] [Announcement] Voice and exit in a voluntary work environment
Leila, I am wondering if you can explain the project title "Voice and exit in a voluntary work environment". I don't quite see the connection to the project as proposed https://meta.wikimedia.org/wiki/Research:Voice_and_exit_in_a_voluntary_work_environment On reading the project, I see two almost separate items. One is the intent to survey all new users about their demographics. The second goal here is to form newbie teams of women based on a similar interests based on "20 questions". Regarding the demographics of new users. Is this intended to occur when they create a new account (rather than a new IP)? If so, will it be optional? I guess my concern is people will back off from signing up, either because they don't want to reveal the information, or because the process has just become too heavyweight. From a privacy perspective (I presume there will be a privacy statement), will the demographic survey remained linked to the user name? From the point of view of the science, it would be good if it was for tracking purposes but it's also a possible reason why people won't answer your questions if it is (or more to the point, if they think it is). I know myself when organisations approach me for demographic information (anonymously or linked to my username or real world identity), my reaction to such requests tends to depend on how much I care about them (and how much I trust them). If I am very involved in an organisation, I am generally happy to provide data that assists them in the stated purpose because I want them to be successful. When I am marginally engaged (the case with many a website that requires a signup), I am unlikely to provide demographic information in general and almost certainly not at the point of signup. I assume the link between the two parts of the project is that some/all of those new users whose demographic profile reveals they are women will then be approached to form teams based on the 20 questions. Will that occur before their first edit? I'm just thinking of the person sitting down to fix a spelling error going through signup, demographic survey, invitation to be in a team before and possibly 20 questions before we let them do the edit they came to do. I guess I am fearful that the experiment will drive women away if it is all too up-front heavy relative to the task they came to do. Not in the interests of diversity. Also, the word "organic" was mentioned. Not all new users are organic. Anyone who is signing up for a training class, edit-a-thon, university class exercise etc is NOT organic. Can I ask that when there is a research intervention, reasonable steps are taken to ensure that non-organic new users are not caught up in it. That means having some way to bypass the intervention and informing the course instructors (it's a user right) well in advance so they can ensure their groups are bypassed. Ditto any scheduled events/edit-a-thons. Mine are published on the Wikimedia Australia website. When you have 2 hours to teach Wikipedia (the typical time slot I get from organisations) and you have a prepared set of PPT slides, you want the Wikipedia interface to follow the sequence you are expecting. Trainees are confused by buttons being relabelled different to the PPT slides etc. And it's worse if it happens to only part of the group as they think they did something wrong. Anything that slows things up means you don't get finished in two hours and training has failed its goals. I got caught by the A/B testing of Visual Editor by new users. At that time, I had never seen or used the Visual Editor and a proportion of my training class were being shown it. It was a disaster and I nearly gave up training after that, it was just so embarrassing. I did not know it was happening. Nor did I have any way to get those users back into the source editor (which I was teaching at that time). While I think the VE is a good thing for Wikipedia, that was NOT the way to experiment with it. Also with events, because of the limit on signups per day from the same IP address, it is common to ask people to sign up in advance for which you provide information on the process. So the bypass of the intervention needs to be available for the signups occurring before the event so don't think it is sufficient to just provide an "on the day" signup solution. It has to work for the people doing it at their own desks days ahead. Given that the vast majority of participants in my groups are women, I don't think it’s in the interests of diversity to give them a bad experience by being inadvertently caught up in an experiment. Moving on to the newbie teams, how is this going to work? How will they communicate? Will you tell them about the Visual Editor which is NOT enabled by default for new users? As someone who has delivered training on both editors, the VE is an absolute winner for new users, particular women. I could not do Wikipedia edit t
[Wiki-research-l] Wikipedia sourcing digital knowledgebases?
Hi Everyone, Who here recalls a published report of research that determined Wikipedia was the source of the digital knowledgebases? If my memory serves me correctly, it was some amazingly huge number like 90%+ use Wikipedia as its source for content. Can anyone help with the URL of the report? Thanks! Sincere regards, Stella -- Stella Yu | STELLARESULTS | 415 690 7827 "Chronicling heritage brands and legendary people." ___ Wiki-research-l mailing list Wiki-research-l@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
Re: [Wiki-research-l] category extraction question
Hi Leila, On 11/07/2017 03:20, Leila Zia wrote: > Using this approach, we get 5 categories associated with Flow cytometry > bioinformatics article [3]: > > Flow_cytometry > Bioinformatics > > Wikipedia_articles_published_in_peer-reviewed_literature > Wikipedia_articles_published_in_PLOS_Computational_Biology > CS1_maint:_Multiple_names:_authors_list I wanted to point out that to me the main difference between the first two categories and the last three is that the former are automatically added by templates. In fact, if you look at the page source you will only find the first two. Cristian ___ Wiki-research-l mailing list Wiki-research-l@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
Re: [Wiki-research-l] [Announcement] Voice and exit in a voluntary work environment
Hoi Gerard, On Wed, Jul 19, 2017 at 9:37 PM, Gerard Meijssen wrote: > Hoi, > Is this an English only project? The short answer is: it's too early to give a response to this question. I'll expand below if you're interested to know more: * We need to start small, see if we can show working results, and then try to go beyond small. :) * We don't know the state of diversity across (or at least in a few of the) Wikipedia languages. * We don't know the state of diversity across (or at least in a few of the) Wikimedia projects. * We will probably need to start with a couple of languages that have a large pool of newcomers who are added to the system organically. What is "large" is something we don't have an answer for right now. * We anticipate that an intervention aimed at boosting newcomers' self-confidence level could have a heterogeneous impact on editor retention depending on the local culture. This can have impact on the choice of the languages we start this project in. (We are using plots such as http://www.worldvaluessurvey.org/images/Cultural_map_WVS6_2015.jpg for brainstorming about this topic.) * And last but not least: Our strong preference is to do this research in communities that acknowledge the lack of diversity as an issue for their community and would like to work with us on this problem. This is not a one-year project and we need sustained collaboration between research, the communities involved, and tool/interface developers (inside and outside of WMF). All of the above will need to be taken into account when we choose the language/project. I hope this helps. Best, Leila > Thanks, > GerardM > > On 19 July 2017 at 19:32, Leila Zia wrote: > >> Hi all, >> >> With the start of the new fiscal year in Wikimedia Foundation on July >> 1, the Research team has officially started the work on Program 12: >> Growing contributor diversity. [1] Here are a few >> announcements/pointers about this program and the research and work >> that will be going to it: >> >> * We aim to keep the research documentation for this project on the >> corresponding research page on meta. [2] >> * Research tasks are hard to break down and track in task-tracking >> systems. This being said, any task that we can break down and track >> will be documented under the corresponding Epic task on Phabricator. >> [3] >> * The goals for this Program for July-September 2017 (Quarter 1) are >> captured on MediaWiki. [4] (The Phabricator epic will be updated with >> corresponding tasks as we start working on them.) >> * Our three formal collaborators (cc-ed) will contribute to this >> program: Jérôme Hergueux from ETH, Paul Seabright from TSE, and Bob >> West from EPFL. We are thankful to these people who have agreed to >> spend their time and expertise on this project in the coming year, and >> to those of you who have already worked with us as we were shaping the >> proposal for this project and are planning to continue your >> contributions to this program. :) >> * I act as the point of contact for this research in Wikimedia >> Foundation. Please feel free to reach out to me (directly, if it >> cannot be shared publicly) if you have comments/questions about the >> project in the coming year. >> >> Best, >> Leila >> >> >> [1] https://meta.wikimedia.org/wiki/Wikimedia_Foundation_ >> Annual_Plan/2017-2018/Final/Programs/Technology#Program_ >> 12:_Grow_contributor_diversity >> [2] https://meta.wikimedia.org/wiki/Research:Voice_and_exit_ >> in_a_voluntary_work_environment >> [3] https://phabricator.wikimedia.org/T166083 >> [4] https://www.mediawiki.org/wiki/Wikimedia_Technology/ >> Goals/2017-18_Q1#Research >> >> -- >> Leila Zia >> Senior Research Scientist >> Wikimedia Foundation >> >> ___ >> Wiki-research-l mailing list >> Wiki-research-l@lists.wikimedia.org >> https://lists.wikimedia.org/mailman/listinfo/wiki-research-l >> > ___ > Wiki-research-l mailing list > Wiki-research-l@lists.wikimedia.org > https://lists.wikimedia.org/mailman/listinfo/wiki-research-l ___ Wiki-research-l mailing list Wiki-research-l@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
[Wiki-research-l] SEMANTiCS 2017, Amsterdam, Sep 11-14, Extended Submission Deadline July 25, 2017
***DEADLINE EXTENSION*** 2nd Call for Posters & Demos SEMANTiCS 2017 - The Linked Data Conference 13th International Conference on Semantic Systems Amsterdam, Netherlands September 11 -14, 2017 http://2017.semantics.cc For details please go to: https://2017.semantics.cc/calls Important Dates (Posters & Demos Track): *Submission Deadline:extended: July 25, 2017 (11:59 pm, Hawaii time) *Notification of Acceptance:August 10, 2017 (11:59 pm, Hawaii time) *Camera-Ready Paper:August 18, 2017 (11:59 pm, Hawaii time) As in the previous years, SEMANTiCS’17 proceedings will be published by ACM ICPS (pending) and CEUR WS proceedings. This year, SEMANTiCS features a special Data Science track, which is an opportunity to bring together researchers and practitioners interested in data science and its intersection with Linked Data to present their ideas and discuss the most important scientific, technical and socio-economical challenges of this emerging field. SEMANTiCS 2017 will especially welcome submissions for the following hot topics: *Metadata, Versioning and Data Quality Management *Semantics for Safety, Security & Privacy *Web Semantics, Linked (Open) Data & schema.org *Corporate Knowledge Graphs *Knowledge Integration and Language Technologies *Economics of Data, Data Services and Data Ecosystems Special Track (please check appropriate topic in submission system) *Data Science Following the success of previous years, we welcome any submissions related but not limited to the following ‘horizontal’ (research) and ‘vertical’ (industries) topics: Horizontals: *Enterprise Linked Data & Data Integration *Knowledge Discovery & Intelligent Search *Business Models, Governance & Data Strategies *Semantics in Big Data *Text Analytics *Data Portals & Knowledge Visualization *Semantic Information Management *Document Management & Content Management *Terminology, Thesaurus & Ontology Management *Smart Connectivity, Networking & Interlinking *Smart Data & Semantics in IoT *Semantics for IT Safety & Security *Semantic Rules, Policies & Licensing *Community, Social & Societal Aspects Data Science Special Track Horizontals: *Large-Scale Data Processing (stream processing, handling large-scale graphs) *Data Analytics (Machine Learning, Predictive Analytics, Network Analytics) *Communicating Data (Data Visualization, UX & Interaction Design, Crowdsourcing) *Cross-cutting Issues (Ethics, Privacy, Security, Provenance) Verticals: *Industry & Engineering *Life Sciences & Health Care *Public Administration *e-Science *Digital Humanities *Galleries, Libraries, Archives & Museums (GLAM) *Education & eLearning *Media & Data Journalism *Publishing, Marketing & Advertising *Tourism & Recreation *Financial & Insurance Industry *Telecommunication & Mobile Services *Sustainable Development: Climate, Water, Air, Ecology *Energy, Smart Homes & Smart Grids *Food, Agriculture & Farming *Safety, Security & Privacy *Transport, Environment & Geospatial Posters & Demos Track The Posters & Demonstrations Track invites innovative work in progress, late-breaking research and innovation results, and smaller contributions in all fields related to the broadly understood Semantic Web. These include submissions on innovative applications with impact on end users such as demos of solutions that users may test or that are yet in the conceptual phase, but are worth discussing, and also applications, use cases or pieces of code that may attract developers and potential research or business partners. This also concerns new data sets made publicly available. The informal setting of the Posters & Demonstrations Track encourages participants to present innovations to the research community, business users and find new partners or clients and engage in discussions about the presented work. Such discussions can be invaluable inputs for the future work of the presenters, while offering conference participants an effective way to broaden their knowledge of the emerging research trends and to network with other researchers. Poster and demo submissions should consist of a paper that describe the work, its contribution to the field or novelty aspects. Submissions must be original and must not have been submitted for publication elsewhere. Accepted papers will be published in HTML (RASH) in CEUR and, as such, the camera-ready version of the papers will be required in HTML, following the poster and demo guidelines (https://goo.gl/3BEpV7). Papers should be submitted through EasyChair (https://easychair.org/conferences/?conf=semantics2017 and should be less than 2200 words in length (equivalent to 4 pages), including the whole content of the paper. For the initial reviewing phase, authors may submit a PDF version of the paper following any layout. After acceptance, authors are required to submit the camera-ready in HTML (RASH). Submissions will be reviewed by experienced and knowledgeable
