Autor: Michael Wesch, Kansas State University. Dauer 4:33. Sehr anschauliches "Werbe"-Video zu wesentlichen Aspekten des Web 2.0. Angeschnitten werden u.a. die Themen Hypertext, RSS, Mashups, Blogs, Feeds, Tagging und Tagging-Communities. Mit dem Slogan "The web is linking people" wird das Web 2.0 als technische Umwelt verstanden, die neue soziale Netzwerke ermöglicht und etabliert.
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If you don?t measure what you?re doing in search and social media, how do you know if what you?re doing is working? How do you know if you?re helping or hu
If it's been awhile since you looked at your privacy settings or googled yourself, AdjustYourPrivacy.com collects all the most important privacy settings for multiple services so you can opt out from everything you don't want—all from one page.
Verein von Online-Vermarktern und –Werbeträgern in Deutschland. Die AGOF erhebt regelmäßig Informationen über das Online-Nutzungsverhalten in Deutschland und veröffentlicht diese in den "internet facts"-Studien.
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AQUA - Automatic Quality Assessment and Feedback in eLearning 2.0
The current development of Web 2.0 makes the distinction between author and reader fading away. Users now produce huge amounts of data which sometimes is of questionable quality. This leads to the problem of information overload: how to make the most of this information without overwhelming the users? One key challenge to solve this issue is to assess the quality of the user generated content.
In AQUA, we seek to develop algorithms to assess the quality of content automatically. We focus on two sources for this assessment: (1) user generated content; (2) feedback by users of the content. To do so, we investigate techniques from the fields of natural language processing (NLP), information retrieval, and machine learning.
So, in a nutshell, AQUA will answer the following questions:
What is quality of information? How does it matter in information search?
How to model the quality of user generated content?
How far can you go with automatic methods in assessing quality?
How to give feedback to users regarding quality?
The AQUA project is associated with the project "Mining Lexical-Semantic Knowledge from Dynamic and Linguistic Sources and Integration into Question Answering for Discourse-Based Knowledge Acquisition in e-learning (QA-EL)".
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