Wikipedia is often considered as an example of ‘collaborative knowledge’. Researchers have contested the value of Wikipedia content on various accounts. Some have disputed the ability of anonymous amateurs to produce quality information, while others have contested Wikipedia’s claim to accuracy and neutrality. Even if these concerns about Wikipedia as an encyclopaedic genre are relevant, they misguidedly focus on human agents only. Wikipedia’s advance is not only enabled by its human resources, but is equally defined by the technological tools and managerial dynamics that structure and maintain its content. This article analyzes the sociotechnical system – the intricate collaboration between human users and automated content agents – that defines Wikipedia as a knowledge instrument.
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Much of the discussion about Wikipedia, both in the news and in more scholarly circles, still largely reflects the concerns found in populist perspectives. What’s missing is an informed, radical critique from the inside. The Critical Point of View (CPOV) research initiative, whose material is brought together in this reader, poses different questions than those we have thus far encountered.
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On the internet we see a continuously growing generation of web applications enabling anyone to create and publish online content in a simple way, to link content and to share it with others: wellknown instances include MySpace, Facebook, YouTube, Flickr, Wikipedia and Google Earth. The internet has become a social software platform sailing under the Web 2.0 flag, creating revolutionary changes along the way: the individual, the end-user, comes first and can benefit optimally from an environment which has the following keywords: radically user-oriented, decentralized, collective and massive. ‘An environment in which each participant not only listens, but can also make his own voice heard’: the Social Web. This document describes a brief exploration of this Social Web and intends to gain insight in possible fundamental changes this phenomenon is causing or might cause in our society. Particular attention will be paid to the impact of the Social Web on learning and education. For how do two apparently contrary developments touch and overlap? On the one side we have the rapid growth of technologies bringing individuals together to communicate, collaborate, have fun and acquire knowledge (social software). And on the other hand we have the just conviction within the world of education that young people should not only acquire knowledge and information, but should also have all kinds of skills and experience in order to meet social and technological changes deliberately, and prepare for a life long of learning.
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Debat in Soφie (tijdschrift Christelijke filosofie) ‘Framing is een overtuigingstechniek. De techniek bestaat eruit woorden en beelden zo te kiezen, dat daarbij impliciet een aantal aspecten van het beschrevene worden uitgelicht. Deze uitgelichte aspecten helpen om een bepaalde lezing van het beschrevene of een mening daarover te propageren. Zowel in de politiek als in de reclame wordt framing bewust (en onbewust) ingezet.’ (Bron: WIkipedia)
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Our planetary footprint has become so incredibly large, precisely because we have been doing less and less ourselves. Our entire culture revolves around outsourcing. First to slaves, then to wage slaves, machines and now also to AI. We let others produce (often industrially) all sorts of things, in clean-looking production lines. For example, in the factory farming industry, from rearing, via slaughter, processing, marketing and selling to that pork chop on our plate, or from monocultures via breweries to the beer in our jugs, all of this revolves around outsourcing. In our daily lives we outsource muscle power to machines (cars, bicycles, drills, kitchen mixers, etc.), search and thinking power to Wikipedia, Google or ChatGPT, and agenda and collection power to online platforms and meeting rooms.
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Preprint submitted to Information Processing & Management Tags are a convenient way to label resources on the web. An interesting question is whether one can determine the semantic meaning of tags in the absence of some predefined formal structure like a thesaurus. Many authors have used the usage data for tags to find their emergent semantics. Here, we argue that the semantics of tags can be captured by comparing the contexts in which tags appear. We give an approach to operationalizing this idea by defining what we call paradigmatic similarity: computing co-occurrence distributions of tags with tags in the same context, and comparing tags using information theoretic similarity measures of these distributions, mostly the Jensen-Shannon divergence. In experiments with three different tagged data collections we study its behavior and compare it to other distance measures. For some tasks, like terminology mapping or clustering, the paradigmatic similarity seems to give better results than similarity measures based on the co-occurrence of the documents or other resources that the tags are associated to. We argue that paradigmatic similarity, is superior to other distance measures, if agreement on topics (as opposed to style, register or language etc.), is the most important criterion, and the main differences between the tagged elements in the data set correspond to different topics
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In dit boekje over crowdsourcing worden een aantal relevante aspecten van crowdsourcing behandeld. Allereerst beschrijven we een aantal historische voorbeelden om duidelijk te maken dat crowdsourcing niet ontstaan is als gevolg van de opkomst van internet maar als fenomeen al bestond voor het internettijdperk. Door internet is het echter zonder meer eenvoudiger geworden crowdsourcing te organiseren en een veel grotere groepen deelnemers te betrekken. In de sectie 'Wisdom of the Crowds' gaan we in op de onderliggende principes van crowdsourcing. Crowdsourcing wordt vaak in één adem genoemd met de 'Wisdom of the Crowds', als onderliggend mechanisme hoe en waarom crowdsourcing werkt. We zullen echter concluderen dat de 'Wisdom of the Crowds' slechts één van de drie onderliggende principes van crowdsourcing is. Vervolgens gaan we in op de verschillende verschijningsvormen van crowdsourcing. Na een reflectie op bestaande voorstellen om tot een categorisering te komen van deze verschijningsvormen, presenteren we zeven categorieën op basis van het te onderscheiden doel. Bij de keuze om crowdsourcing in te zetten zal naar de kosten, risico's en baten ervan gekeken moeten worden. In de sectie 'Kosten en baten van crowdsourcing' bekijken we dit aspect voornamelijk vanuit het perspectief van de initiërende organisatie. Maar de kosten en baten voor de deelnemers zullen ook kort beschreven worden om te begrijpen wat hen drijft om aan een crowdsourcingproject mee te doen. In de laatste sectie beantwoorden we de vraag hoe crowdsourcing zo effectief en efficiënt mogelijk is in te zetten door naar een aantal implementatiemodellen te kijken en algemene adviezen te inventariseren. We sluiten af met een reflectie op de beschreven bevindingen.
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Gepersonificeerde portals zijn in opmars. Volgens Gerard Bierens is Netvibes.com momenteel beste uitwerking van de gepersonaliseerde portal. Hij beschrijft de ontwikkelingen van kennisportals en illustreert het gebruik van Netvibes. De basis waarmee Netvibes gebruikers naar zich toetrekt is, naast de gelikte interface, de veelzijdigheid van de ingebouwde RSS-lezer en de mogelijkheid om een groot aantal webservices binnen één en dezelfde interface te integreren.
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Climate change is one of the key societal challenges of our times, and its debate takes place across scientific disciplines and into the public realm, traversing platforms, sources, and fields of study. The analysis of such mediated debates has a strong tradition, which started in communication science and has since then been applied across a wide range of academic disciplines.So-called ‘content analysis’ provides a means to study (mass) media content in many media shapes and formats to retrieve signs of the zeitgeist, such as cultural phenomena, representation of certain groups, and the resonance of political viewpoints. In the era of big data and digital culture, in which websites and social media platforms produce massive amounts of content and network this through hyperlinks and social media buttons, content analysis needs to become adaptive to the many ways in which digital platforms and engines handle content.This book introduces Networked Content Analysis as a digital research approach, which offers ways forward for students and researchers who want to work with digital methods and tools to study online content. Besides providing a thorough theoretical framework, the book demonstrates new tools and methods for research through case studies that study the climate change debate with search engines, Twitter, and the encyclopedia project of Wikipedia.
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In 'Free, the future of a radical price' beschrijft Chris Anderson een maatschappij waarin elk digitaal product en elke digitale dienst gewoon gratis is. Deze free economy is gebaseerd op vier businessmodellen.
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