The Wikipedia Model
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The document discusses Wikipedia, the free online encyclopedia that can be edited by anyone. It provides details on Wikipedia's history and launch in 2001, its open editing model, the Wikimedia Foundation that supports it, and Wikipedia's success being attributed to its strong mission, shareable values, and ability for anyone to improve its content.
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Wikipedia launched in 2001 and quickly overtook the existing encyclopedia Nupedia. It expanded internationally and gained mainstream media attention in 2001. The Wikimedia Foundation was established in 2003. By 2005, Wikipedia became the most popular reference website on the internet. It grew rapidly between 2001-2008, reaching over 5 million registered editors and 2.5 million English articles. While Wikipedia is non-profit and run primarily by volunteers, it is estimated to be worth tens of billions of dollars based on replacement costs and similar websites' valuations, though it only costs $25 million annually to operate.
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This document discusses Wikipedia and wikis. It defines a wiki as a piece of server software that allows users to freely create and edit web page content using any web browser. Wikipedia is introduced as a free, multilingual encyclopedia that anyone can edit. While articles are not refereed, Wikipedia should be used as a starting point for research. The document also discusses how wikis can be created and their use in university education and communication.
Wikipedia
Wikipedia is a free online encyclopedia that can be edited by anyone. It operates using wiki software, which allows users to freely edit and compose web page content through a web browser. Wikipedia is written collaboratively by volunteers worldwide and provides a quick understanding of various topics, though it should only be used as a starting point for research due to the lack of refereeing of articles. The goal of Wikipedia is to have 250,000 articles in every language spoken by at least 1 million people. It is funded through donations and operates on a non-profit basis.
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Wikimedia, MediaWiki & Education in IT discusses Wikimedia projects like Wikipedia that run on MediaWiki software. It explains that Wikimedia's mission is to develop free educational content. MediaWiki is an open-source wiki software originally created for Wikipedia that is now widely used. The document discusses wikis and their use for collaboration in education, with examples like a student wiki at Hong Kong Shue Yan University. It concludes that wikis enable instant reference, common knowledge, two-way learning, and mass collaboration compared to traditional methods.
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Wikipedia is a free online encyclopedia that anyone can edit, with over 3 million English articles as of July 2010. It has a simple interface and covers topics from multiple perspectives globally. While some criticize its open editing model, it has processes to ensure information is verifiable and from a neutral point of view, with over 1500 administrators monitoring content. Educators and librarians are increasingly using Wikipedia for assignments and instruction to teach information and digital literacy skills.
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Wikipedia is a free online encyclopedia created and maintained by users as an open collaboration project. It was launched in 2001 by Jimmy Wales and Larry Sanger. Wikipedia comes from the Hawaiian word for "quick" and "pedia" from encyclopedia. It started in English and is now the largest English encyclopedia with over 290 million articles in 301 languages and 500 million monthly visitors, making it one of the top 10 websites. Users can freely edit, add comments and their own articles from different perspectives.
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Wikipedia launched in 2001 and quickly overtook the existing encyclopedia Nupedia. It expanded internationally and gained mainstream media attention in 2001. The Wikimedia Foundation was established in 2003. By 2005, Wikipedia became the most popular reference website on the internet. It grew rapidly between 2001-2008, reaching over 5 million registered editors and 2.5 million English articles. While Wikipedia is non-profit and run primarily by volunteers, it is estimated to be worth tens of billions of dollars based on replacement costs and similar websites' valuations, though it only costs $25 million annually to operate.
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Wikipedia slide deck used at the first Good Internet conference, UC Berkeley, April 2011. Original content is licensed CC-BY 3.0.
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Wikipedia is a free online encyclopedia that can be edited by anyone. It operates using wiki software, which allows users to freely edit and compose web page content through a web browser. Wikipedia is written collaboratively by volunteers worldwide and provides a quick understanding of various topics, though it should only be used as a starting point for research due to the lack of refereeing of articles. The goal of Wikipedia is to have 250,000 articles in every language spoken by at least 1 million people. It is funded through donations and operates on a non-profit basis.
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Wikimedia, MediaWiki & Education in IT discusses Wikimedia projects like Wikipedia that run on MediaWiki software. It explains that Wikimedia's mission is to develop free educational content. MediaWiki is an open-source wiki software originally created for Wikipedia that is now widely used. The document discusses wikis and their use for collaboration in education, with examples like a student wiki at Hong Kong Shue Yan University. It concludes that wikis enable instant reference, common knowledge, two-way learning, and mass collaboration compared to traditional methods.
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The document discusses open knowledge management and Wikipedia. It summarizes Wikipedia's history from its launch in 2001 with open editing allowing anyone to contribute. It describes how Wikipedia grew internationally and introduced features like discussion pages, history pages, and software upgrades. It outlines the open editing model, five pillars, consensus approach, and community governance of Wikipedia.
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This document discusses wikis and their use for online collaboration. Some key points:
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This document provides an overview of wikis and their use for teaching and learning. It discusses how wikis allow for collaborative learning and creativity through easy editing and sharing of content. Examples of how wikis can be used in the classroom include creating simple websites, conducting peer reviews of projects, managing classroom documents, and facilitating discussion. Key features that make wikis useful for education are also summarized, such as their ease of use, ability to monitor student work, and promotion of communication between students and teachers.
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Ward Cunningham created the first wiki in 1995 as a quick way to collaboratively publish information on the web. Wikis allow any user to easily edit and create pages. Wikipedia is the largest wiki, started in 2001, and now has over 1.2 million articles across 200 languages. Wikis provide a way for distributed teams to collaborate instantly by allowing anyone to edit pages, with version tracking to revert changes, though they require management to prevent spam and vandalism.
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A wiki is a website that allows users to collaboratively edit and organize its content and structure. Ward Cunningham created the first wiki, WikiWikiWeb, in 1994 and named it after the "Wiki Wiki" shuttle in Hawaii, meaning "quick" in Hawaiian. Wikis invite all users to edit pages or create new pages using only a web browser. They promote associations between pages by allowing easy page linking. Wikis involve ongoing creation and collaboration that constantly changes the site. Common uses of wikis include internal business communications, group projects, and sharing knowledge like Wikipedia and WikiHow.
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The document provides information about wikis including their history and design principles. It discusses how Ward Cunningham started developing WikiWikiWeb in 1994, which was the first site called a wiki. It outlines some of the core design principles of wikis like being open, incremental, organic, and mundane. The document also discusses differences between enterprise wikis and Wikipedia and considerations for wiki adoption in organizations.
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How we can create an effective message: personalization, groups, behaviours, communities, immediacy, perfect timing, different techniques and styles.
Then some essential rules, regarding listen and conversation, the blur between public and private, goals.
The age of artificial intelligence, deep dives on machine learning and deep learning. Machine perception and applications. How company use AI in their businesses. Case study: Netflix.
Storytelling with data (v. 2021 ITA)
Storytelling fundamentals (from Propp to Andrea Fontana) and examples. Marketing perspectives on storytelling. Storytelling with data techniques. Hints and examples
Visual communication of qualitative and quantitative data (v. 2021 ITA)
Visual systems and preattentive attributes. Quantitative data visualization, chart selector. Some useful tactics. Qualitative data definition and examples. Qualitative metaphors. Data visualization & journalism. Common kinds: mind maps, flow diagrams, words cloud, user journey, tube map, maps. Qualitative chart chooser.
How we perceive information (v. 2021 ITA)
Survivorship bias applied to information. Cognition, how we learn, sensation and perception, experience. Human sight and visual perception, visual memory. Gestalt principles. Machine perception.
Around Data Science (v. 2021 ITA)
Linked Data and examples, why they matter. Data driven strategies. Data mining: laws and applications. Data aggregation and fundamentals of data representation (table, bar chart, histogram, pie chart, line graph, scatter plot). Data science definition and job roles (who does what).
Data Lingo (v. ITA 2021)
Some common terms used for data: ontology, open data (with an intro on copyright, copyleft and open knowledge), database, query, transaction
Information Classification (v. ITA 2021)
Introduction to data classification. Back to origins: history of libraries and their classification methods. Some examples of classification in different areas.
How to collect and organize data (v. ITA 2021)
Overview on data collection methods and a deep dive on data (primary Vs secondary, qualitative and quantitative). Bias. Data processing and structured, unstructured, semistructured data. Example of personal data tracking.
What are data and information, why they matter (v. ITA 2021)
Quick introduction to the Data & Content Storytelling course @IED Milano. History of data gathering and data visualization.
Artificial Intelligence, Machine Learning & Tools (v. 2020 ITA)
The age of artificial intelligence, deep dives on machine learning and deep learning. Machine perception and applications. How company use AI in their businesses. Case study: Netflix. Basic tools for data manipulation and data visualization.
Digital communication (v. 2020 ITA)
Recap on storytelling.
We analyze the current landscape, starting from Cluetrain Manifesto, through some definitions (social networks, networked publics).
How we can create an effective message: personalization, groups, behaviours, communities, immediacy, perfect timing, different techniques and styles.
Then some essential rules, regarding listen and conversation, the blur between public and private, goals.
Storytelling with data (v. 2020 ITA)
Storytelling fundamentals (from Propp to Andrea Fontana) and examples. Marketing perspectives on storytelling. Storytelling with data techniques. Hints and examples
Visual communication of qualitative data (v. 2020 ITA)
Qualitative data definition and examples. Qualitative metaphors. Data visualization & journalism. Common kinds: mind maps, flow diagrams, words cloud, user journey, tube map, maps. Qualitative chart chooser
Visual communication of quantitative data (v. 2020 ITA)
Quantitative and qualitative data recap. Visual systems and preattentive attributes. Quantitative data visualization, chart selector. Some useful tactics.
How we perceive information (v. 2020 ITA)
The document discusses visual perception and how information is processed. It covers topics like cognition, cognitive science, learning styles, sensation and perception, visual memory, gestalt principles, and limits of short-term memory. Examples are provided to illustrate concepts like preattentive attributes, chunking, and how visualization can take advantage of human perception to effectively communicate data and patterns.
Data mining and data aggregation basics
This document provides an overview of data mining and data aggregation basics. It discusses key concepts such as the phases of the data mining process according to the CRISP-DM framework which includes business understanding, data understanding, data preparation, modeling, evaluation, and deployment. It also discusses different types of data aggregation including time and spatial aggregation and summarization techniques such as calculating the mean, count, maximum, minimum, mode, range, and sum. Additionally, it presents different ways of visualizing data including tables, bar charts, histograms, pie charts, and line graphs.
Around Data Science (v. 2020 ITA)
This document outlines the process of data-informed decision making. It discusses acquiring relevant data from internal and external sources, analyzing the data to find patterns and relationships, applying personal expertise when interpreting the data, announcing and implementing decisions to stakeholders, and assessing the outcomes of decisions to continually improve the process. The goal is to formulate questions, leverage different types of data analysis, make evidence-based decisions, and monitor their impacts over time.
Data Lingo (v. ITA 2020)
Some common terms used for data: ontology, open data (with an intro on copyright, copyleft and open knowledge), database, query, transaction
Information Classification (v. ITA 2020)
This document provides an overview of data organization and classification in libraries and other domains. It begins by discussing the history of libraries and early classification systems used in ancient Mesopotamia and China. It then covers modern library classification standards like the Dewey Decimal System and subject-based organization. The document also examines classification of natural phenomena like volcanoes, stars, satellites, and languages. It concludes by discussing classification of administrative divisions and examples of categorizing a country's average life expectancy data.
How to collect and organize data (v. ITA 2020)
Overview on data collection methods and a deep dive on data (primary Vs secondary, qualitative and quantitative). Bias. Data processing and structured, unstructured, semistructured data. Example of personal data tracking.
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The Wikipedia Model
- 2. Wikipedia?
- 10. Projects at a glance
- 11. How do they work?
- 24. Funding
- 27. 2007/2008/2009 Fundraising http://wikimediafoundation.org/wiki/Special:FundraiserStatistics
- 28. 2007/2008/2009 Fundraising http://wikimediafoundation.org/wiki/Special:FundraiserStatistics
- 29. 2007/2008/2009 Fundraising http://wikimediafoundation.org/wiki/Special:FundraiserStatistics
- 30. 2007/2008/2009 Fundraising http://wikimediafoundation.org/wiki/Special:FundraiserStatistics
- 31. 2007/2008/2009 Fundraising http://wikimediafoundation.org/wiki/Special:FundraiserStatistics
- 32. Donors statistics http://upload.wikimedia.org/wikipedia/foundation/a/a4/WMF_Annual_Report_20082009_online.pdf
- 33. Expenses http://upload.wikimedia.org/wikipedia/foundation/a/a4/WMF_Annual_Report_20082009_online.pdf
- 34. Revenues http://upload.wikimedia.org/wikipedia/foundation/a/a4/WMF_Annual_Report_20082009_online.pdf
- 36. Employees vs page rank (Cnet.com, CBS.com, GameSpot) CBS Interactive 2080 10 (Ask.com) Ask Network ?? 9 (Amazon, Alexa, iMBD, Kindle) Amazon Sites 21,000 8 (eBay, Paypal, Skype) eBay 15,500 7 AOL AOL LLC 8000 6 (Wikipedia, Wiktionary) Wikimedia 34 5 (Facebook) Facebook 1000 4 (Hotjobs, Flickr , etc) Yahoo! 14000 3 (MSN, Hotmail, etc) Microsoft 93000 2 (YouTube, Blogger, etc) Google 20000 1 (subsidiary sites) company employees Ranking
- 40. Trademark
- 41. [email_address] http://www.wikimedia.it All texts from Wikipedia are cc-by-sa, logos are trademark of Wikimedia Foundation Inc.