The Signpost
Single-page Edition
WP:POST/1
18 December 2017

Special report
Women in Red World Contest wrap-up
Blog
Close encounters of the Wikipedia kind
Featured content
Featured content to finish 2017
In the media
Stolen seagulls, public domain primates and more
Arbitration report
Last case of 2017: Mister Wiki editors
Gallery
Wiki loving
Interview
Interview with Charlesjsharp, regular contributor of Wikipedia's Featured Pictures
Recent research
French medical articles have "high rate of veracity"
Technology report
Your wish lists and more Wikimedia tech
Traffic report
Notable heroes and bad guys
Humour
On their way to the WMF Incubator
 

2017-12-18

Women in Red World Contest wrap-up

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By Eddie891

The Women in Red World Contest
a global article creation contest/editathon
for November 2017
...

The Women in Red World Contest closed on 30 November at midnight. The editors working on the project created 2,885 articles in just 30 days, writing articles about notable women from every single country in the world. The contest, which began on 1 November 2017 and ran for the month had editors competing for a total of around $4,585 in prizes. The final scoreboard shows the magnitude of the editors' combined efforts: seven editors wrote more than 100 new biographical articles each in November; at least 22 editors wrote more than 30, or more than one per day on average. And all the newly-minted articles had to meet the contest's basic quality rules, for minimum size and proper references. Furthermore, a record 22 editors became members of WikiProject Women in Red during the course of the contest. Of the Did You Know's in November, twenty-nine were about articles created in the contest, as well as fifteen in December, and twenty-five that have yet to be listed .

The contest took a while to organize after Dr. Blofeld's proposal came to life. Besides all the heavy lifting of getting the grant approved, creating all the sign up sheets, adding multiple red links and monitoring, he used his networks to get it off the ground. Rosie Stephenson-Goodknight and Ian Pigott were instrumental in helping prepare templates, invitations, and distribution lists. Emilio wrote the bot after several months of trying to find a coder. Sue Barnum designed the logo and did much work developing the missing article lists, along with numerous other volunteers. During the contest, several judges, particularly Cwmhiraeth, verified bot findings and checked for copyvio issues and other policy-based criteria.

Interview

The Signpost's Eddie891 asked Dr. Blofeld to reflect on the contest:

How do you feel about the number and quality of articles created during the contest?
At the beginning of the contest I set the target of 2000. It quickly became apparent that we might end up with nearer 2500, but the end result of 2900 articles far exceeded expectations and was a brilliant result. I thought even 2000 initially was an achievement as the African Destubathon lasted six weeks and produced 2041 articles and stubs require less work than if they didn't exist. I think the overall quality of articles was very good, very few shorter stubs and the referencing mechanism I think ensured that a lot of the work produced was consistently formatted.
If you could run the contest again, what (if anything) would you do differently?
Very little as I think the contest proved to be a great model for development, but I had some complaints about the bot picking on formatting, so maybe I would relax some of the rules on how sources are formatted as some people did say that it demotivated them.
What would you say is the greatest success of the contest?
Definitely the way it worked to produce articles on every country and entity on the planet, and a wide range of occupations. While the figure of nearly 2900 was very impressive and beat records for output in one month I think the diversity displayed was extraordinary and how I think Wikipedia should be developed.
What's next for you?
I have a toolkit to make based on the contest to allow other editors to replicate it and run for smaller regions, I also have to take care of the prizes once I am wired the grant money and then likely propose something new early next year.
Anything else you'd like to add?
Thankyou everybody who contributed to the contest, and you taking the time to arrange these questions!♦ Dr. Blofeld

Editor experiences

Laura L. Whitlock, from a 1918 publication
Lydia Avery Coonley, circa 1914-15
An homage erected to the memory of Miroslava Breach days after her assassination. ("You don't kill the truth by killing journalists – We demand the truth and justice for Miroslava")



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2017-12-18

Astronaut is first to specifically contribute to Wikipedia from space

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By Andy Mabbett
The following content has been republished from the Wikimedia Blog. Any views expressed in this piece are not necessarily shared by the Signpost; responses and critical commentary are invited in the comments. For more information on this partnership, see our content guidelines.

For the first time, content specifically for Wikipedia has been made in space, aboard the International Space Station. Andy Mabbett explains how this came to happen.

Photo by NASA/Robert Markowitz, public domain.

Astronaut Paolo Nespoli recently recorded his spoken voice for use on his Wikipedia article—a small step for him, but a giant leap for the Wikimedia movement. This milestone is the first time content has been made in space specifically for Wikipedia.

Paolo, a European Space Agency (ESA) astronaut, made the recording while orbiting Earth aboard the International Space Station (ISS) for the Italian Space Agency mission VITA.

How did an astronaut contribute to Wikipedia while traveling through space at an average speed of 27,724 kilometres per hour (17,227 mph)? That involves the collaborative handiwork of several people back here on Earth.

In July this year, I approached Marco Trovatello (User:mtrova), Communication Officer with ESA's European Astronaut Centre, after seeing his excellent efforts to have ESA media released under open licence. I asked him to work with me on a recording made on the ISS. Marco jumped at the idea, and immediately agreed to help. As you can imagine, astronauts have busy schedules, but Marco was able to make all the necessary arrangements, working with his ESA colleagues to get the recording scheduled and the files transferred back to Earth (two of them: one in English, the other in Paolo's native Italian). He then uploaded them to Wikimedia Commons, where they are now available for anyone to use, freely, under an open licence (CC BY-SA 3.0 IGO), as well as being used on Wikipedia and Wikidata.

Photo by NASA/Crew of STS-132, public domain.

In space, no one can hear you scream… but now everyone can hear your voice

ESA Astronaut Paolo Nespoli's spoken voice

Why is it important for Paolo—and others—to record their voices for Wikipedia and its sister projects? It helps us learn the canonical pronunciation of someone's name. (I know that in my own family, different branches pronounce "Mabbett" differently). Asking our subjects to say a few more words besides their name also gives a fuller impression of what their voice sounds like, and that helps our readers to recognise them, for example, if they hear them on the radio.

The project was conceived at Wikimedia meetup in London in 2012. I suggested that we ought to include people's voices on Wikipedia, and on the train home worked up some ideas, which I put into a blog post. I then contacted everyone I knew who had had a Wikipedia article written about them, and some kindly made recordings to get things started.

Since then, a small group of volunteers, including myself, have worked with many article subjects to add hundreds of recordings in 24 languages. They feature actors, sportspeople, Nobel-laureate scientists, authors, Eurovision Song Contest contestants, Wikimedians, and even another astronaut—Charlie Duke of NASA, who once walked on the moon, though his recording was made on Earth. I even persuaded the BBC to donate hundreds of clips from their radio programmes. It was the first time BBC content had been released under an open licence.

But we still need lots more recordings, in lots more languages—and you can help with this. Ask anyone you know who has a Wikipedia article (or a Wikidata item) to make a recording as set out on the project page. Most recordings run from 10–20 seconds, which is not a lot to ask of even very busy people. You can record them on a mobile phone, but do try to find somewhere quiet to cut down on background noise.

Who knows, maybe someone in space will listen to your recording.

Andy Mabbett (User:Pigsonthewing), Wikimedian

This piece originally appeared at the Wikimedia Blog, where it is also available in Italian.



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2017-12-18

Featured content to finish 2017

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By Evad37, Eddie891 and Bri
Saguaro National Park was promoted to featured article, as the sun sets on 2017

This Signpost "Featured content" report covers material promoted from 19 November through 15 December. Text may be adapted from the respective articles and lists; see their page histories for attribution.

17 featured articles were promoted this month.

Megalodon shark jaws


28 featured lists were promoted this month.

Irish writer James Joyce is credited with writing one of the songs recorded by Syd Barrett


Three featured pictures were promoted this month.

One featured topic was promoted since our last report.

Elena Alexandra Apostoleanu, known professionally as Inna, is a Romanian singer and songwriter.



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2017-12-18

Stolen seagulls, public domain primates and more

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By Lane Rasberry and Eddie891
Was this gull appropriated for the currency of Kazakhstan?

The "Wikipedia Seagull"

Allegedly copied gull

When Kazakhstan released a brand new 500 tenge bill (about US$1.50), a Swiss photographer named Marcel Burkhard noticed something odd about the bird on the face of the bill. It looked exactly like the bird that he had uploaded to Wikipedia on December 3, 2005, as User:Cele4. The photo is the lead image at ru:Чайковые and that photo is alleged to have been lifted by the Kazakhstan Central Bank and placed on their bill. The bank has denied all accusations of plagiarism, but has announced that they would change the bill "in time".

The bird is just one of the many times that Wikipedia content has been plagiarized (see previous Signpost coverage). People from editors at BuzzFeed, to an American senator, to the Pentagon, to Oxford University Press have all lifted content from Wikipedia. (Global Voices)

Interview with the monkey selfie photographer

Podcast This American Life presented "So a Monkey and a Horse Walk Into a Bar" featuring a narrative of how Wikimedia projects have presented the monkey selfie copyright dispute along with a conversation with photographer David Slater. Persons interested in the issue can read past coverage in The Signpost. At least hundreds and perhaps a few thousand Wikimedia community members engaged in conversation about the monkey selfie dispute in 2014 or later. Because of the controversy around this issue, this commentator at The Signpost will speak only for themselves in making the following observations about what is striking about this podcast:

  1. The Wikimedia community is sensitive to distinguishing the differences between online media platforms, the community which publishes on that platform, and the organization which hosts it. Wikimedia community members observe that mainstream media seems to understand that for example, Facebook the website is different from individual users who post to Facebook, and that Facebook as a company is different still. This podcast like many other mainstream media reports of Wikipedia conflates and confuses Wikipedia the platform, the community of users which publishes to Wikimedia projects, and the Wikimedia Foundation as an organization. It is unfortunate that Slater, even since 2014 and all that he has experienced, seems to express no awareness of the basics of how Wikipedia works and what distinctions exist between the publication, editors, and paid Foundation staff. This American Life journalists seem similarly confused. How can the Wikimedia movement better present itself to avoid this sort of confusion?
  2. Whatever happened in this case, many people respect This American Life as a podcast and yet somehow their journalistic investigation described Wikimedia projects in a way which community participants would probably regard as flawed in its premises. For example, the podcast reports that the Wikimedia Foundation exercises editorial control over Wikipedia's content.
  3. Slater is obviously highly distraught and feels that "Wikipedia" (whether platform, community, or WMF) has greatly harmed him. While sometimes the Wikimedia community may conflict with others, ideally, the conflict could proceed with the Wikimedia community's sincere attempt to establish mutual understanding and some transparent documentation that we offered a fair process.
  4. In Wikimedia community lore, the Wikimedia community imagined that on December 22, 2014, in section 313.2 the United States Copyright Office provided clarification on the monkey selfie dispute when it published the below statement. The podcast did not mention if the photographer or anyone else was aware that the Copyright Office had recently published an opinion on monkey photography.

In brief

Jerusalem then and now



Do you want to contribute to "In the media" by writing a story or even just an "in brief" item? Edit the next edition in the Newsroom or leave a tip on the suggestions page.



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2017-12-18

Last case of 2017: Mister Wiki editors

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By Bri

This edition of the Arbitration Report covers 24 November through 15 December 2017.

Conduct of Mister Wiki editors case

On 21 November 2017, the request for the case concerning Mister Wiki editors was opened by TonyBallioni – as reported in Signpost issue 11 News and Notes.

On 1 December, Wikipedia:Arbitration/Requests/Case/Conduct of Mister Wiki editors was formally opened. According to the first arb to accept the case, it is "to review whether a desysop is in order for Salvidrim". Arbcom has stated that if the case isn't decided by the end of December – when some of the standing arbs will be replaced due to 2017 elections – "outgoing Arbs will be able to remain active on it if they wish, and incoming arbs will be able to join it if they wish." Points considered by Arbitration Committee include:

  1. The alleged breach of WP:PAY by Salvidrim! and Soetermans in reviewing each other's AfC submissions.
  2. Salvidrim!'s use of admin tools to grant additional userrights to the account Salvidrim! (paid).
  3. Any other evidence relevant to conflicts of interest by editors associated with the Mister Wiki business

An Arbcom member stated "we do not have Committee support for a case on paid editing per se - that is appropriately a matter for the community. What there is support for, is whether specific named editors have acted outside of policies on meatpuppetry and COI, in their role as paid editors on this site".

Interested editors can still comment at the case's workshop through 22 December. The case page states that a decision will be posted by 29 December.

Current requests

Declined requests

In brief

At press time for this issue of Signpost, results of the 2017 Arbcom elections had not yet been announced. Extremely low turnout was noted at Jimbo's talkpage. Possible explanations offered were a voting system failure and lack of a mass message to eligible voters. Mz7 said that between 2014 and 2015 when mass messages became routine, voting went up over fourfold. At the time the conversation began in late November, fewer than 300 votes had been recorded. Mass messages were sent out on 3 December – midway through the voting period – and by the time voting closed, 1,993 valid votes were tallied.

Candidate Support Neutral[note 1] Oppose Net[note 2] Percentage[note 3] Result
KrakatoaKatie 1072 681 238 834 81.83% Two-year term
Callanecc 820 933 238 582 77.50% Two-year term
Opabinia regalis 810 900 281 529 74.24% Two-year term
Worm That Turned 751 924 316 435 70.38% Two-year term
RickinBaltimore 639 1053 299 340 68.12% Two-year term
Premeditated Chaos 593 1055 343 250 63.35% Two-year term
BU Rob13 598 1009 384 214 60.90% Two-year term
Alex Shih 598 997 396 202 60.16% Two-year term
Mailer diablo 552 1038 401 151 57.92%
SMcCandlish 663 837 491 172 57.45%
The Rambling Man 593 751 647 −54 47.82%
Sir Joseph 444 876 671 −227 39.82%
  1. ^ All voters were required to register a preference of either "Support", "Neutral", or "Oppose" for each candidate. The "Neutral" column is simply the total votes for which voters did not select the Support or Oppose option.
  2. ^ Net = Support − Oppose
  3. ^ Percentage = (Support / (Support + Oppose)) * 100 (rounded to 2 decimal places)
Certified by:
  1. Shanmugamp7 (talk) 11:24, 18 December 2017 (UTC)[reply]
  2. Matiia (talk) 16:27, 18 December 2017 (UTC)[reply]
  3. RadiX 00:14, 19 December 2017 (UTC)[reply]



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2017-12-18

Wiki loving

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By Evad37

Wiki Loves Earth 2017 was an international photographic competition whose winner will get a full scholarship to Wikimania 2018 in Cape Town, South Africa.

Nearly 132,000 images, all freely licensed, have been added to Wikimedia Commons in the fourth annual Wiki Loves Earth. The photographic contest focuses on protected areas, unique places of natural heritage, to document them for future generations.

Wiki Loves Monuments 2017 was a similar competition focusing on cultural heritage monuments, with more than 245,000 freely licensed images submitted. Several of the winning photographs were from first-time contributors.

Wiki Loves Earth

Wiki Loves Monuments



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2017-12-18

Interview with Charlesjsharp, regular contributor of Wikipedia's featured pictures

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By Eddie891
Meerkats (Suricata suricatta), Tswalu Kalahari Reserve, South Africa

User:Charlesjsharp is a regular contributor of featured pictures. I spoke to him about his work and his experiences.

Someone told me anyone could edit Wikipedia, so on 29 October 2006 I uploaded a few photos into articles. The one of my son skiing has remained the 'main' article image for nearly ten years. I started taking photos when I was very young, then took up wildlife photography more seriously when I retired and remarried. We both share a passion for wildlife (and travel). I set up galleries on my Commons User pages and started submitting images for Quality Image and Valued Image status. Then I learnt that someone had submitted one of the first photos I had taken with my new camera set up to be Picture of the Day in France in 2014 and English Wikipedia Featured Picture in 2015.

Maintaining my galleries on Wikipedia was quite time-consuming and with 1000+ images got too complicated, so I needed my own website. This has help me establish my reputation and also helps me find my own pictures easily! I cannot store full-size images on my website as it grinds to a halt, so I link to Flickr galleries. Having a decent website does mean I get better guides when I travel.

Black-bellied whistling ducks (Dendrocygna autumnalis), Tobago

I submit pictures for featured picture status on Commons and English Wikipedia. The Commons process is a very useful way of helping you edit and post-process your images. Most of the 'judges' do make constructive comments. English Wikipedia is more random as there are fewer judges, though the calibre of comments is just as good. Many decent nominations fail however just because they don't reach the quorum, so it's a frustrating experience. I always submit to QI and VI before going for FP. The best compositions I submit to FP. And you have to be prepared for forceful criticism. And my top tips when using Photoshop CS6? Here is my editing process for a wildlife QI with no glaring defects: 1. Rotate image 2. Improve the original composition by cropping (e.g. rule of thirds) 3. Clone out any distracting elements that don't make the image dishonest (stray leaves, twigs etc. are OK) 4. Do very gentle sharpening across the image (Unsharp Mask 1 Pixel 50%), but do bit more on faces and eyes if needed (sharp eyes crucial for FP) 5. Reduce Shadows (20-40%) and highlights (~3%) 6. Apply Autotone then Fade Autotone (sometimes 50%) 7. Try Gamma Correction (max 0.9) 8. Check Color Balance 9. Apply noise reduction across all the image (my default is 70% Strength; 70% Preserve Details 70% Reduce Color Noise 0% Sharpen) 10. Selective noise reduction on background (I use Quick Selection Tool set at 6 pixels - 3 pixels for hair). If you are new to the process, I'd suggest 1. Submit images to QI. 2. Get involved in assessing images on Commons before trying your own. 3. Then nominate an outstanding image by an established Commons photographer 4. Nominate your own best image ever. 5. Don't get upset when it gets shot down and don't get personal! Charlesjsharp (talk) 12:13, 14 October 2017 (UTC)[reply]

I don't stake out animals and wait for hours for them to appear like many professionals. I'm more of a wildlife portrait photographer and just hope something interesting happens when my cameras ready. We were moving around a lake in Kenya in 2016 when we saw a giant kingfisher catch a fish and moved closer to the pole where it was perched. The sequence I took of the bird smashing the fish against the post to break its spine so it could swallow it was a nice bit of luck.

More countries. More wildlife. And a wildlife book is on the way too. I've also got a bunch of light-hearted animal photo-quizzes on my website www.sharpphotography.co.uk and that might go somewhere...

Just getter better and better. There doesn't seem to be any serious competitor and I'm impressed by the accuracy of the articles. Wikipedia is always the first place I go for information on anything.

Anything I don't like. I do think that too many of the active participants on the Commons FPC project are damaging the FP credibility. It seems that almost any photo can get voted through on a you-vote-for-me and I'll-vote-for-you process – no collusion, just a low quality theshold. Charlesjsharp (talk) 15:48, 30 November 2017 (UTC)[reply]

Mammals

Birds

Insects

Reptiles



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2017-12-18

French medical articles have "high rate of veracity"; quality comparisons across languages; perceptions of credibility

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By Nicolas Jullien, Leila Zia, Tilman Bayer, and FULBERT

A monthly overview of recent academic research about Wikipedia and other Wikimedia projects, also published as the Wikimedia Research Newsletter.

Medical articles on French Wikipedia have "high rate of veracity"

Reviewed by Nicolas Jullien

A doctoral thesis[1] at Aix-Marseille University examined the accuracy of medical articles on the French Wikipedia. From the English abstract: "we selected a sample of 5 items (stroke, colon cancer, diabetes mellitus, vaccination and interruption of pregnancy) which we compare, assertion by assertion, with reference sources to confirm or refute each assertion. Results: Of the 5 articles, we analyzed 868 assertions. Of this total, 82.49% were verified by the referentials, 15.55% not verifiable due to lack of information and 1.96% contradicted by the referentials. Of the contradicted results, 10 corresponded to obsolete notions and 7 to errors, but mainly dealing with epidemiological or statistical data, thus not leading to a major risk when used, not recommended, on health. Conclusion: ... This study of five medical articles finds a high rate of veracity with less than 2% incorrect information and more than 82% of information confirmed by scientific references. These results strongly argue that Wikipedia could be a reliable source of medical information, provided that it does not remain the only source used by people for that purpose."

This medical PhD thesis is a very well documented analysis of the questions raised by the publication of medical information on Wikipedia. Although the findings, summarized in the abstract, will not be new to those who know Wikipedia well, it presents a good review of the literature on the topic of medical accuracy, and also of the purpose of Wikipedia (not a professional encyclopedia, but a form of popular science, an introduction, and some links to go further). This document is in French.

Assessing article quality and popularity across 44 Wikipedia language versions

Reviewed by Nicolas Jullien
From the paper: Distribution of quality scores in 12 topic areas on English, German and French Wikipedia
Overlaps of the English, German and French Wikipedia's coverage of universities. The authors provide an interactive online tool to generate such Venn diagrams for other topic areas and language combinations.

This is the topic of a paper in the journal Informatics[2]. From the English abstract: "Our research has showed that in language sensitive topics, the quality of information can be relatively better in the relevant language versions. However, in most cases, it is difficult for the Wikipedia readers to determine the language affiliation of the described subject. Additionally, each language edition of Wikipedia can have own rules in the manual assessing of the content’s quality. There are also differences in grading schemes between language versions: some use a 6–8 grade system to assess articles, and some are limited to 2–3. This makes automatic quality comparison of articles between various languages a challenging task, particularly if we take into account a large number of unassessed articles; some of the Wikipedia language editions have over 99% of articles without a quality grade. The paper presents the results of a relative quality and popularity assessment of over 28 million articles in 44 selected language versions. Comparative analysis of the quality and the popularity of articles in popular topics was also conducted. Additionally, the correlation between quality and popularity of Wikipedia articles of selected topics in various languages was investigated. The proposed method allows us to find articles with information of better quality that can be used to automatically enrich other language editions of Wikipedia."

Regarding the quality metrics, I salute the coverage in terms of languages, which allows to go beyond the "official" automated evaluation provided by the Wikimedia Foundation (ORES) that is only available on some big language projects. As the authors explained, this part is mostly based on a work already published, but fairly extended. It also proposes some solutions to the quality comparisons between different languages, and takes into account the variations of perspectives between different cultures.

It also opens a discussion about the popularity of articles, and how this can help to choose which master language has to be chosen when an article exists. Although this part is just at its beginning, their discussion makes the next step for their work, looking forward.

N

From the paper: Distribution of various article metrics by quality class on English Wikipedia


Reviewed by FULBERT

This theoretical paper[3] explored ambiguous relationships between credibility, trust, and authority in library and information sciences and how they are related to perceived accuracy in information sources. Credibility is linked to trust, necessary when we seek to learn from or convey information between people. This is complicated when the authority of a source is considered, as personal or institutional levels of expertise increase the ability to speak with greater credibility.

The literature about how this works with knowledge and information on the Web is inconsistent, and as a result this work sought to develop a unified approach through a new model. As credibility, trust, and authority are distinct concepts that are frequently used together inconsistently, they were explored through how Wikipedia is used and perceived. While Wikipedia is considered highly accurate, trust in it is average while its credibility is at times suspect.

Sahut and Tricot developed the authority, trust and credibility (ATC) model, where “knowledge institutions confer authority to a source, this authority ensures trust, which ensures the credibility of the information.” As a result, “the credibility of the information builds trust, which builds the authority of the source.” This model can be useful when applying to the citation of sources in Wikipedia, as it helps explain how the practice of providing citations in Wikipedia increases credibility and thus encourages trust, “linking content to existing knowledge sources and institutions.”

The ATC model is a helpful framework for explaining how Wikipedia, with its enormous readership, continues to suffer from challenges to being perceived as an authority due to its inconsistencies in article citations and references. This theorizes that filling these gaps will increase authority and thus the reputation of Wikipedia itself.

Figure 2 from the paper, on Wikipedia authority, trust and credibility. ("The educational institution can spread a bad reputation on Wikipedia, which decreases its authority, has a negative influence on its trust, which negatively influences the credibility of the information. Conversely, a positive experience of credibility of Wikipedia information increases readers’ trust.")

Conferences and events

Academia and Wikipedia: Critical Perspectives in Education and Research

A call for papers has been published for a conference titled "Academia and Wikipedia: Critical Perspectives in Education and Research", to be held on June 18, 2018, at Maynooth University in the Republic of Ireland. The organizers describe it as "a one-day conference that aims to investigate how researchers and educators use and interrogate Wikipedia. The conference is an opportunity to present research into and from Wikipedia; research about Wikipedia, or research that uses Wikipedia as a data object".

Wiki Workshop 2018

The fifth edition of Wiki Workshop will take place in Lyon, France on April 24, 2018, as part of The Web Conference 2018. Wiki Workshop brings together researchers exploring all aspects of Wikimedia websites, such as Wikipedia, Wikidata, and Wikimedia Commons. The call for papers is now available. The submission deadline for papers to appear in the proceedings of the conference is January 28, all other papers on March 11.

See the research events page on Meta-wiki for other upcoming conferences and events, including submission deadlines.

Other recent publications

Other recent publications that could not be covered in time for this issue include the items listed below. contributions are always welcome for reviewing or summarizing newly published research.

Compiled by Tilman Bayer

OpenSym 2017

Illustration from "Interpolating quality dynamics in Wikipedia and demonstrating the Keilana effect"

See also our earlier coverage of another OpenSym 2017 paper: "Improved article quality predictions with deep learning"

OpenSym 2016

Plot describing the change, from October 2014 to January 2016, in the absolute number of female biography articles (horizontal axis) and their share among all biographies (vertical axis), for various Wikipedia languages (appearing in similar form in the "Monitoring the Gender Gap ..." paper)

See also our earlier coverage of another OpenSym 2016 paper: "Making it easier to navigate within article networks via better wikilinks"

Diverse other papers, relating to structured data

Figure from "Scholia and scientometrics with Wikidata" (screenshot of https://tools.wmflabs.org/scholia/author/Q20980928 )

References

  1. ^ Antonini, Sébastien (2017-06-22). "Étude de la véracité des articles médicaux sur Wikipédia". Aix Marseille Université.
  2. ^ Lewoniewski, Włodzimierz; Krzysztof, Węcel; Abramowicz, Witold (2017-06-22). "Relative Quality and Popularity Evaluation of Multilingual Wikipedia". Informatics. 4 (4). Informatics 2017, 4(4), 43: 43. doi:10.3390/informatics4040043.
  3. ^ Sahut, Gilles; Tricot, André (2017-10-31). "Wikipedia: An opportunity to rethink the links between sources' credibility, trust, and authority" (PDF). First Monday. 22 (11). doi:10.5210/fm.v22i11.7108. ISSN 1396-0466.
  4. ^ Piscopo, Alessandro; Vougiouklis, Pavlos; Kaffee, Lucie-Aimée; Phethean, Christopher; Hare, Jonathon; Simperl, Elena (2017). What do Wikidata and Wikipedia have in common?: An analysis of their use of external references (PDF). OpenSym '17. New York, NY, USA: ACM. pp. 1–1–1:10. doi:10.1145/3125433.3125445. ISBN 9781450351874.
  5. ^ Kaffee, Lucie-Aimée; Piscopo, Alessandro; Vougiouklis, Pavlos; Simperl, Elena; Carr, Leslie; Pintscher, Lydia (2017). A glimpse into Babel: An analysis of multilinguality in Wikidata (PDF). OpenSym '17. New York, NY, USA: ACM. pp. 14–1–14:5. doi:10.1145/3125433.3125465. ISBN 9781450351874.
  6. ^ Lanamäki, Arto; Lindman, Juho (2017). Before the sense of 'we': Identity work as a bridge from mass collaboration to group emergence (PDF). OpenSym '17. New York, NY, USA: ACM. pp. 5–1–5:9. doi:10.1145/3125433.3125451. ISBN 9781450351874.
  7. ^ Halfaker, Aaron (2017). "Interpolating quality dynamics in Wikipedia and demonstrating the Keilana effect" (PDF). Proceedings of the 13th International Symposium on Open Collaboration. OpenSym '17. New York, NY, USA: ACM. pp. 19–1–19:9. doi:10.1145/3125433.3125475. ISBN 9781450351874.
  8. ^ Betancourt, Grace Gimon; Segnine, Armando; Trabuco, Carlos; Rezgui, Amira; Jullien, Nicolas (2016). "Mining team characteristics to predict Wikipedia article quality". Proceedings of the 12th International Symposium on Open Collaboration. OpenSym '16. New York, NY, USA: ACM. pp. 15–1–15:9. doi:10.1145/2957792.2971802. ISBN 9781450344517.
  9. ^ Agrawal, Rakshit; deAlfaro, Luca (2016). "Predicting the quality of user contributions via LSTMs" (PDF). Proceedings of the 12th International Symposium on Open Collaboration. OpenSym '16. New York, NY, USA: ACM. pp. 19–1–19:10. doi:10.1145/2957792.2957811. ISBN 9781450344517.
  10. ^ Klein, Maximilian; Konieczny, Piotr; Zhu, Haiyi; Rai, Vivek; Gupta, Harsh (2016). Monitoring the gender gap with Wikidata human gender indicators (PDF). OpenSym 2016. Berlin, Germany. p. 9.
  11. ^ Zangerle, Eva; Gassler, Wolfgang; Pichl, Martin; Steinhauser, Stefan; Specht, Günther (2016). "An empirical evaluation of property recommender systems for Wikidata and collaborative knowledge bases" (PDF). Proceedings of the 12th International Symposium on Open Collaboration. OpenSym '16. New York, NY, USA: ACM. pp. 18–1–18:8. doi:10.1145/2957792.2957804. ISBN 9781450344517.
  12. ^ Tamime, Reham Al; Hall, Wendy; Giordano, Richard (2016). Medical science in Wikipedia: The construction of scientific knowledge in open science projects (PDF). OpenSym '16. New York, NY, USA: ACM. pp. 4–1–4:4. doi:10.1145/2962132.2962141. ISBN 9781450344814. (extended abstract)
  13. ^ Silbernagl, Doris; Krismer, Nikolaus; Specht, Günther (2016). "Comparing OSM area-boundary data to DBpedia" (PDF). Proceedings of the 12th International Symposium on Open Collaboration. OpenSym '16. New York, NY, USA: ACM. pp. 11–1–11:4. doi:10.1145/2957792.2957806. ISBN 9781450344517.
  14. ^ Nielsen, Finn Årup; Mietchen, Daniel; Willighagen, Egon (2017-05-28). "Scholia, Scientometrics and Wikidata". The Semantic Web: ESWC 2017 Satellite Events. European Semantic Web Conference. Lecture Notes in Computer Science. Vol. 10577. Springer, Cham. pp. 237–259. doi:10.1007/978-3-319-70407-4_36. ISBN 9783319704067.
  15. ^ Andra Waagmeester, Egon Willighagen, Núria Queralt Rosinach, Elvira Mitraka, Sebastian Burgstaller-Muehlbacher, Tim E. Putman, Julia Turner, Lynn M Schriml, Paul Pavlidis, Andrew I Su, and Benjamin M Good: Linking Wikidata to the rest of the Semantic Web. Proceedings of the 9th International Conference Semantic Web Applications and Tools for Life Sciences. Amsterdam, The Netherlands, December 5-8, 2016. (conference poster)
  16. ^ Subercaze, Julien (May 2017). Chaudron: Extending DBpedia with measurement. Portoroz, Slovenia: Eva Blomqvist, Diana Maynard, Aldo Gangemi.
  17. ^ Ludovic Font A, Amal Zouaq A, B, Michel Gagnon: Assessing and Improving Domain Knowledge Representation in DBpedia
  18. ^ Agathos, Michail; Kalogeros, Eleftherios; Kapidakis, Sarantos (2016-09-05). "A Case Study of Summarizing and Normalizing the Properties of DBpedia Building Instances". In Norbert Fuhr; László Kovács; Thomas Risse; Wolfgang Nejdl (eds.). Research and Advanced Technology for Digital Libraries. Lecture Notes in Computer Science. Springer International Publishing. pp. 398–404. doi:10.1007/978-3-319-43997-6_33. ISBN 9783319439969. Closed access icon
  19. ^ Kejriwal, Mayank; Miranker, Daniel P. (2016). "Experience: Type alignment on DBpedia and Freebase". p. 10. arXiv:1608.04442 [cs.DB].
  20. ^ Bhargava, Preeti; Spasojevic, Nemanja; Hu, Guoning (2017-03-13). "High-Throughput and Language-Agnostic Entity Disambiguation and Linking on User Generated Data". arXiv:1703.04498 [cs.IR].
  21. ^ Prasojo, Radityo Eko; Darari, Fariz; Razniewski, Simon; Nutt, Werner. Managing and Consuming Completeness Information for Wikidata Using COOL-WD (PDF). KRDB, Free University of Bozen-Bolzano, 39100, Italy.{{cite book}}: CS1 maint: location (link)
  22. ^ Hernández, Daniel; Hogan, Aidan; Riveros, Cristian; Rojas, Carlos; Zerega, Enzo (2016-10-17). "Querying Wikidata: Comparing SPARQL, Relational and Graph Databases". The Semantic Web – ISWC 2016. International Semantic Web Conference. Lecture Notes in Computer Science. Vol. 9982. Springer, Cham. pp. 88–103. doi:10.1007/978-3-319-46547-0_10. ISBN 9783319465463. Closed access icon author's preprint
  23. ^ Hernández, Daniel; Hogan, Aidan; Krötzsch, Markus (2015). Reifying RDF: What Works Well With Wikidata?. Proceedings of the 11th International Workshop on Scalable Semantic Web Knowledge Base Systems. Vol. 1457 of CEUR Workshop Proceedings. pp. 32–47.



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2017-12-18

Your wish lists and more Wikimedia tech

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By Evad37
Improving Kartographer (part of the Maps project) was the community's top technical wish.

This is what we wished for

Your wish lists and more Wikimedia tech

The 2017 Community Wishlist Survey results are now in. The top ten wishes, which the Community Tech team will work to address next year, are:

Full results are available on Meta.

Blocking tools consultation

The Wikimedia Foundation's Anti-Harassment Tools team is discussing new blocking tools and improvements to existing blocking tools in December 2017. Tool development work will commence in early 2018.

You can help by share your ideas on the discussion page or send an email to the Anti-Harassment Tools team. The team also wants to know about any previous discussions related to blocking tools.

In brief

New user scripts to customise your Wikipedia experience

Latest tech news from the Wikimedia technical community: 2017 #48, #49, & #50. Please tell other users about these changes. Not all changes will affect you. Translations are available on Meta.

Installation code

  1. ^ Copy the following code, click here, then paste:
    importScript( 'User:Lourdes/Backlinks.js' ); // Backlink: User:Lourdes/Backlinks.js
  2. ^ Copy the following code, click here, then paste:
    importScript( 'User:Enterprisey/undo-last-edit.js' ); // Backlink: User:Enterprisey/undo-last-edit.js



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2017-12-18

Notable heroes and bad guys

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By Evad37
This traffic report is adapted from the Top 25 Report, prepared with commentary by Stormy clouds (November 12 to 18, November 27 to December 2) and igordebraga (November 19 to 26).

Unite the League (November 12 to 18)

This week's list is heavily dominated by superheroes, courtesy of Justice League, Thor: Ragnarok, and the telekinetic shenanigans of Stranger Things. On a more sombre note, death and sexual harassment also creep in to disrupt the conversation, as they are wont to do. Google played its usual roles in elevating articles to the list, while the FIFA World Cup attracted the interest of many readers.

For the week of November 12 to 18, the most popular articles on Wikipedia, as determined from the WP:5000 report were:

Rank Article Class Views Image Notes
1 Justice League (film) 2,295,725
Another DC Extended Universe release, another stark division in film criticism circles. It seems even Joss Whedon (pictured) could not rewrite Bats, Wonder Woman and co. to unanimous glory.
2 Lil Peep 2,079,370
The hip hop artist died aged 21, prompting an outpour of sympathy from the music industry. Cause of death is unknown, but his vivid Instagram posts indicate an overdose.
3 Stranger Things 1,058,262
Finally knocked from its perch, it is in third that we find Netflix's sci-fi-horror extravaganza. Evidently, people are still binge-watching the second series in a large volume. I chalk it down to the Eggos.
4 Deaths in 2017 722,052
Propelled upwards by Lil Peep (#2), the list of the fallen remains popular among the morbid Wikipedians.
5 Thor: Ragnarok 742,455
Thor may have lost Mjölnir, but he still captures the public's imagination. The film took a hit in the face of the Justice League, but with $700 million in the bank, I doubt Marvel is worried.
6 2018 FIFA World Cup 742,011
In association football news, the final play-offs were concluded in the qualification campaign for the World Cup in Russia next year. But, with neither Irish team going, does anyone really care?
7 Jason Momoa 735,871
The hulking actor, recently in hot water over some comments made at Comic-Con several years ago, portrayed Aquaman in Justice League (#1).
8 Roy Moore 706,300
The GOP candidate for Alabama's vacant United States Senate seat continues to be in the news as a result of his alleged sexual misdemeanours. First politician on the list for these reasons, not the last.
9 2018 FIFA World Cup Qualification 706,298 See #6
10 Charles Manson 680,990
The man behind the infamous murders of, among others, Sharon Tate in 1969 was rushed to hospital from his prison after falling ill. He is also set to be the subject of the next Quentin Tarantino movie, apparently.

It's Just Sex and Violence, Melody and Silence (November 19 to 25, 2017)

Two deaths spearhead the week, and aside from them being from a "family", they couldn't be any more different: the head of the Manson family, a madman who caused death in the sixties; and the eldest son of The Partridge Family, an actor-singer who was a pop star in the 1970s. No wonder the ever-present yearly death list is also high. Many things that began or happened the previous week are also present: an Indian woman winning Miss World, the ultra-violent Netflix comics adaptation The Punisher, a Zimbabwean dictator being brought down by a coup, and the latest WWE event. As to be expected every November, Thanksgiving (#5) and the shopping spree that follows (#8) make their appearances too.

Rank Article Class Views Image Notes
1 Charles Manson 3,258,765
If there is one guy who doesn't deserve a "rest in peace", it's the one who created a commune/cult that led to ten brutal murders, most infamously a pregnant woman. That being said, Charles Manson died after 46 years of a life sentence, the third imprisonment of his life.
2 David Cassidy 2,388,401
Going from the Manson family to The Partridge Family: the eldest son in that sitcom and subsequent pop singer David Cassidy died at the age of 67, having retired earlier this year as dementia was taking its toll on him.
3 Justice League (film) 1,897,568
The long-awaited encounter of the DC Comics superheroes has the same Joss Whedon that helmed Marvel's equivalent The Avengers co-writing (plus directing what Zack Snyder left unfinished), but has not been the same runaway success. Reviews are mixed, finding it entertaining but vapid, and box office is sluggish compared to what DC accomplished with Wonder Woman earlier this year.
4 Manushi Chhillar 1,322,126 While many people can't believe beauty pageants are still a thing, Ms. Chhillar won Miss World 2017. Given the last Indian to win this contest was Bollywood superstar Priyanka Chopra in 2000, she can hope the contest was the first step to a fruitful career.
5 Thanksgiving 1,059,555
Every November, the beloved American holiday enters this list in the top 5, even if this year views are down by 200,000.
6 Survivor Series (2017) 865,133
The latest WWE pantomime was held at the Toyota Center (pictured) in Houston.
7 Deaths in 2017 852,035
"Death greets me warm, now I will just say goodbye".
8 Black Friday (shopping) 835,404
One day after Thanksgiving (#5), there are promotions to ignite the Christmas shopping season. In my country at least, it's not rare for retailers to instead do a "Black Fraud" where they're faking the discounts.
9 The Punisher (TV series) 835,012
The Marvel Comics vigilante Frank Castle finally got an acclaimed adaptation following three movies with middling reception, as Jon Bernthal (pictured) played him in the second season of Daredevil that led to this Punisher solo series, which debuted on Netflix on November 17th.
10 Robert Mugabe 776,252
Nearly a week after a coup placed him on house arrest, Zimbabwean dictator Robert Mugabe signed his resignation, finishing nearly 40 years in power filled with human rights violations and a ruined economy.

Buckingham Betrothal Bells (November 26 to December 2)

This week is dominated by the engagement of Meghan Markle (#1) and Prince Harry (#3). Congratulations to the soon-to-be weds, though I lack the enthusiasm for what is ostensibly a figurehead and tourist attraction, especially given the minute likelihood of Harry ever governing ahead of his brother. Allow the people their escapism into the realm of ballrooms and gowns, I suppose, even though it may be hokum in my eyes.

Other recurrent motifs in the list include, as ever, superheroes, with the new trailer for Avengers: Infinity War driving excitement for many MCU properties. The slow revelation that every man in media is a predator sees Matt Lauer land high on the list (#2). A number of deaths also make an appearance, some more dramatic than others (#8). All in all, a rather exciting list, especially given the dominance in page views of the Suits star above all competitors, with over four times as many views as number two. Not too shabby.

Rank Article Class Views Image Notes
1 Meghan Markle 8,747,196
This week's list begins with Meghan Markle, who announced her engagement to Prince Harry, and subsequently whipped the world's media, and Wikipedia, evidently, into a phenomenal frenzy to find knowledge about the second most famous actress turned princess.
2 Matt Lauer 2,014,217
Another week, another monster. The long-serving host of The Today Show joins the depressingly endless list of sexual predators, prompting NBC to fire him. For further information, consult the Twitter page of another NBC sex criminal.
3 Prince Harry 1,900,012
The young prince has grown and matured so much, finally putting a ring on it and rendering Ms. Markle (#1) his fiancée. Many relished in the joyous love story, while many online commentators (and SNL) congratulated Harry on batting out of his league. Well done, voiceless Ed Sheeran.
4 Bitcoin 1,084,519
In financial news, the e-currency had a unprecedented spike in value during the week, reaching $11,740, prompting The Big Bang Theory to make an episode on the topic. If history teaches us anything, this bubble will never burst.
5 Justice League 955,873
The movie is not, in my view, too unobjectionable, and is thoroughly watchable, but that has not stopped the media attention around it, which sees it remain in the top 5. However, this is the internet, and there is no middle-ground. Therefore, it is an unmitigated disaster and an abhorrent crime against humanity.
6 Jim Nabors 767,143
Wikipedia's patrons reacted to the death of the actor in droves, mourning the loss of Gomer Pyle and an institutional component of the Indy 500.
7 2018 FIFA World Cup 753,052 As an Irishman, a certain Christian Eriksen had already left me dejected in the soccer front. Seeing the neighbours get a handy draw exacerbated this. At least I will get to see them lose on penalties this way. sobs
8 Slobodan Praljak 749,384
Another death, albeit a far less sympathy-inducing one than #6. The convicted war criminal demonstrated a flair for the dramatic as he took his own life in The Hague. "O true apothecary, thy drugs are quick" indeed.
9 Deaths in 2017 749,088
Given the presence of multiple deceased people in the top 10, one cannot be surprised that the list makes its way onto the report again.
10 Avengers: Infinity War 727,183 The first trailer for the upcoming superhero extravaganza dropped to much hooplah. Everyone knows that you must stay until the credits are over in all MCU films, which will be hard given that all of Hollywood seems to be starring in this one.

Exclusions



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2017-12-18

Here's What's Missing

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By Barbara Page

During this holiday season, perhaps you want to come up with an expensive and long list of items that will make your life complete and also get other people to pay for them. I am so pure of heart, that I only want to see the sum of knowledge expanded and perfected. So my short list contains:

Welcome to the Furbish Wikipedia
the free encyclopedia that any electronic robot toy can edit.
We now have 4 draft pages in an English-fabricated creole.
  • Sewing costumes
  • Furbithon
  • Etiquette
  • Party like a Furby
  • Dictionary
  • Glossary
  • Fur
  • All portals

Furbish only consists of a few verbal swatches but if you use really hard and complicated arithmetic you will understand that there are a billion possible combination of these simple Furbish phrases. The potential for creating complicated literary works is certainly possible. The total lexicon follows:

Newsflash - as this article was going to press, I was encouraged to find that the Furbies have their own Wikipedia called WikiFur.

Welcome to the Klingon Wikipedia
the free encyclopedia any warrior can edit.
We now have 100 draft pages
Play find the Klingon

Klingon Wikipedia In 2005 the Klingon Wikipedia was a reality (it was moved to Wikia in 2006), and a written character from that language was even included in the famous puzzle-piece Wikipedia logo. But since you only want to learn enough Klingon to order a bottle of water you can begin your studies here:

jIyajbe’. - Do you speak Klingon?
Dochvetlh vISoplaHbe’. - I don’t understand.
bIlughbe’. - I can’t eat that thing.
bortaS bIr jablu’DI’ reH QaQqu’ nay’. - You are wrong.
jIl moH ghajjaj jaghHomlIj. - Revenge is a dish best served cold. (lit: When cold revenge is served, the dish is always very good)
romuluSngan Hol yIjatlh. He’So’ QIchlIj. - May your rival have an ugly neighbor.
mo’Dajvo’ pa’wIjDaq je narghpu’ He’So’bogh SajlIj. - If I use spit (mouth water) to clean your father’s honor, I only dirty the spit.
qajunpaQHeylIjmo’ batlh DuSuvqang charghwI’ ’It. - Your stinking pet has escaped from its cage and appeared in my quarters.
nobwI’’a’pu’qoqvam’e’ nuHegh’eghrupqa’moHlaHbe’law’lI’neS SeH’eghtaHghach’a’na’chajmo’. - Because of your apparent audacity the depressed conqueror is willing to fight you.
be’HomDu’na’wIjtIq’a’Du’na’vaD ghureghqangqa’moHlaHqu’be’taH’a’ Somraw’a’meyna’wIj’e’? - The so-called great benefactors are seemingly unable to cause us to prepare to resume honorable suicide (in progress) due to their definite self control.
Welcome to Porkypedia
the free encyclopedia that cartoon pigs can edit.
We now have 4 draft pages in an English-fabricated creole.
  • Famous swine
  • Sow biographies
  • Bugs
  • Daffy
  • Foghorn
  • Elmer
  • Voice acting
  • Recipes
  • All portals
"Son of a bi-bi-, son of a bi-bi-bi-... public domain!"

Porky Pedia This w-w-w-w-w-wikipedia has its beginning with a cartoon character who was so excited he could barely get out his words. Here are the few phrases that are documented: "Th-th-th-that's all folks!" and "What's guh-guh-guh-guh—...what's happening?" "Oh, son of a bi-bi-, son of a bi-bi-, son of a bi-bi-bi-... gun!"

To Yodapedia, Welcome
the free encyclopedia that Jedi masters can edit.
We now have 4 draft pages in an English-fabricated creole.
  • Evil Arts
  • Biography stubs
  • Map of the Galaxy
  • "A long time ago..."
  • Deathstar plans
  • Smuggling
  • Wookies
  • Jedi Training
  • All portals
That's no moon, that's a ... oh, darn.

Yodapedia The language of Stars Wars' most beloved character (who began his career as a puppet and later morphed into a CGI personality), is a form of another linguistic language based upon anastrophe. The speech patterns of Yodish have been analyzed and discussed by academic syntacticians, who found it somewhat inconsistent, but could extrapolate that it has Object–subject–verb word order.

Elcome-way to Ig-pay atin-lay
Ickipedia-way
the free encyclopedia-ay at-thay anyone an-cay edit
We now have 4 draft pages in an English-fabricated creole.

Pig Latin It is certainly feasible to build a bot (the Swedes did it, don't you know) to translate all Wikipedia articles into Pig Latin. You know that nothing brings more joy to a sixth-grader than being fluent in Pig Latin. But after about ten minutes of listening to the child speaking this language you'll eventually get a migraine. Yet mastery has its perks because nothing will earn you more respect with the Kiddies that to throw some Pig Latin around the house. Parents sometimes resort to this language in desperation when they don't want the three-year old to know that he or she is going to get a shot at the pediatrician's office that day. English vulgarities lose their punch when translated into Pig Latin.

If-fay ou-yay an-kay ead-ray is-they, en-thay onsider-kay ourself-yay ooent-flay in-nay Ig-pay Atin-lay. If-fay anyone-ay wants-way to-tay leave-lay a message-may below-bay in-nay any-ay of-ay ese-thay afore-ay mentioned-may new-nay anguage-lay Ikipedias-way, av-hay a goh-gay.

Attribution: Some content was cut and pasted from articles related to the above topics. Those other editors did the real work.



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