Strategy/Wikimedia movement/2017/Cycle 2/Learn/fr

This page is a translated version of the page Strategy/Wikimedia movement/2017/Cycle 2/Learn and the translation is 7% complete.
Outdated translations are marked like this.

Comment atteindre cette vision en tenant compte des changements mondiaux

Dans cette section, vous trouverez des informations sur le monde d'aujourd’hui et ce à quoi il pourrait ressembler en 2030 : qui accède aux projets Wikimédia aujourd'hui ? Qui est-ce que nous ne touchons pas ? Comment les projets Wikimédia sont-ils perçus et utilisés, comment les nouveaux lecteurs utiliseront Wikimédia dans le futur ? Comment les gens de manière générale accèderont à Wikimédia en 2030 ? Quelles forces en présence auront un impact déterminant sur l'accès à la connaissance.

Nous voulons permettre de circonscrire un contexte pour toutes ces questions afin d’enrichir nos discussions au sujet de l’avenir du mouvement Wikimédia.

Informations sur les tendances futures

Rapport du cycle 1 (thèmes générés)

Cycle 2 (discuss themes) reports

Synthesis reports

Conversations with experts, partners, and users

Blog posts regarding movement strategy content

Research on communities

Findings from Wikimedia user analytics

  1. 220,000 people contribute monthly: https://stats.wikimedia.org/EN/TablesWikimediaAllProjects.htm
  2. Representation is skewed: https://web.archive.org/web/20161024063241/https:/stats.wikimedia.org/wikimedia/squids/SquidReportPageEditsPerCountryOverview.htm
  3. English Wikipedia editor retention decline: File:Monthly active editors.enwiki 2016-06.svg
  4. English Wikipedia monthly user retention: File:Enwiki.monthly user retention.survival proportion.svg

Information on Wikimedia affiliates and organized groups

  1. Wikimedia affiliates and organized groups: m:Wikimedia movement affiliates
  2. 100+ affiliates around the world: File:Wikimedia Capters and WMF Maps.svg

Past community engagement and donor research

  1. Gender gap remains: m:Community Engagement Insights
  2. Reader motivations: https://arxiv.org/pdf/1702.05379.pdf
  3. Editor motivations: File:Editor_Survey_2012_-_Wikipedia_editing_experience.pdf
  4. Money raised by the Foundation: File:FY1516DonationsByContinent.png
  5. Donor motivation survey: File:Wikimedia 2014 English Fundraiser Survey.pdf

Research from other sources

  1. "The Future of Free Speech, Trolls, Anonymity, and Fake News Online", Pew Research Center: http://www.pewinternet.org/2017/03/29/the-future-of-free-speech-trolls-anonymity-and-fake-news-online/
  2. "Online Harassment", Pew Research Center: http://www.pewinternet.org/2014/10/22/online-harassment/
  3. "The Agency, The New York Times, "From a nondescript office building in St. Petersburg, Russia, an army of well-paid “trolls” has tried to wreak havoc all around the Internet": https://www.nytimes.com/2015/06/07/magazine/the-agency.html
  4. "Lithuanian Elves Combat Russian Influence Online", AP: https://apnews.com/27ce7f001bde4ccb9415ce4a0de74af1/lithuanian-elves-combat-russian-influence-online
  5. Underrepresented topics remain that way: https://www.bloomberg.com/news/features/2016-12-22/how-woke-is-wikipedia-s-editorial-pool
  6. 84% of Wikipedia articles focus on Europe and North America: http://www.markgraham.space/blog/geographies-of-the-worlds-knowledge
  7. Commitment and Community: Communes and Utopias in Sociological Perspective, by Rosabeth Moss Kanter. (partial text here).
  1. "The Digital Industrial Revolution," NPR / TED: http://www.npr.org/programs/ted-radio-hour/522858434/the-digital-industrial-revolution?showDate=2017-04-21
  2. Vanity Fair: Elon Musk predicts it will take 4-5 years to develop “a meaningful partial-brain interface” that allows the brain to communicate directly with computers: http://www.vanityfair.com/news/2017/03/elon-musk-billion-dollar-crusade-to-stop-ai-space-x

Machine learning

  1. "How Machine Learning Works", The Economist (they learn from experience!): http://www.economist.com/blogs/economist-explains/2015/05/economist-explains-14
  2. "The Simple Economics of Machine Intelligence," Harvard Business Review: https://hbr.org/2016/11/the-simple-economics-of-machine-intelligence

Wikimedia and machine learning

  1. ORES and recommendation systems, open, ethical, learning machines helping to fight vandals with 18,000 manually enabled users today: m:Objective Revision Evaluation Service
  2. Wikimedia: 90% reduction in hours spent reviewing RecentChanges for vandalism after ORES was enabled: https://docs.google.com/presentation/d/1-rmxp3GNrSmqfjLoMZYlnR55S8DKoSfG-PCHObjTNAg/edit#slide=id.g1c9c9bd2c0_1_8

Research on knowledge

Open citations

  1. I4OC, Initiative for Open Citations: https://i4oc.org/
  2. Mozilla Internet Health Report, see section on open innovation and access to cited work: https://d20x8vt12bnfa2.cloudfront.net/InternetHealthReport_v01.pdf
  3. "The Enclosure of Scholarly Infrastructure," Geoffrey Bilder: https://www.youtube.com/watch?v=oWPZkZ180Ho&feature=youtu.be

Scholarly articles

  1. "Distinguishing Scholarly from Non-Scholarly Periodicals: A checklist of criteria, introductions and definitions," Cornell University Library: http://guides.library.cornell.edu/scholarlyjournals

Adoption of mainstream technology globally

  1. Euro Monitor: 53% of the world’s global population will be online by 2030: http://blog.euromonitor.com/2015/04/half-the-worlds-population-will-be-online-by-2030.html
  2. Cisco: For the first time, nearly everyone in the world will have a smartphone – with internet and a camera: http://www.cisco.com/c/en/us/solutions/collateral/service-provider/visual-networking-index-vni/complete-white-paper-c11-481360.pdf
  3. Kleiner Perkins Caufield Beyer: Over 3 billion photos shared per day: http://www.kpcb.com/internet-trends

Population changes

  1. United Nations: Between 2015 and 2030, the vast majority of the world’s population growth will be in Africa (42%) and Asia (12%): https://esa.un.org/unpd/wpp/Download/Probabilistic/Population

Contribution of knowledge world-wide

  1. Annals of the Association of American Geographers: Much of the world’s digital knowledge is contributed by only part of the world. As more people come online, addressing representation will be even more urgent: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2382617
  2. Freedom House: 48 countries lack free, open internet: https://freedomhouse.org/report/freedom-net/freedom-net-2016

Building inclusive knowledge societies

  1. "Keystones to Foster Inclusive Knowledge Societies: Access to information and knowledge, freedom of expression, privacy, and ethics on a global internet," UNESCO: http://www.unesco.org/new/fileadmin/MULTIMEDIA/HQ/CI/CI/pdf/internet_draft_study.pdf
  2. "Recognizing Enablers of Inclusive Knowledge Societies," CIPESA (Promoting Effective and Inclusive ICT Policy in Africa): http://cipesa.org/2015/03/recognising-the-enablers-of-inclusive-knowledge-societies/
  3. Mozilla Internet Health Report / Section on digital inclusion: https://d20x8vt12bnfa2.cloudfront.net/InternetHealthReport_v01.pdf

Research on knowledge ecosystem & education

Éducation

  1. World Bank: http://data.worldbank.org/topic/education
  2. United Nations Education: http://www.un.org/sustainabledevelopment/education
  3. Brookings: While overall literacy will rise, global access to post-secondary education will remain out of reach for billions of people: https://www.brookings.edu/research/why-wait-100-years-bridging-the-gap-in-global-education
  4. Inter-Agency Network for Education in Emergencies: Burns, M. and Lawrie, J. (Eds.). (2015). Where It’s Needed Most: Quality Professional Development for All Teachers. New York, NY: Inter-Agency Network for Education in Emergencies.
  5. UNESCO: Miao, Mishra and McGreal (2016). Open Educational Resources: Policy, Costs and Transformation. Paris, UNESCO.
  6. UNESCO: http://unesdoc.unesco.org/images/0021/002164/216451E.pdf
  7. Harvard Business Review: https://hbr.org/2015/09/whos-benefiting-from-moocs-and-why