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"Posted by Dario Taraborelli on August 2, 2012 Improving the quality of articles has long been one of the primary aims of contributors to Wikipedia, and is one of the Wikimedia movement's 2010-15 strategic priorities, but measuring it objectively has remained a challenge. In 2005, Nature famously reported that Wikipedia articles on scientific topics contained just four errors per article on average, compared to three errors per article in the online edition of Encyclopaedia Britannica. Britannica objected to the report, but Nature stood by it, and the report remains widely cited today. Since that time, however, there have been relatively few independent analyses of Wikipedia article quality, despite the enormous growth of the project. Wikipedia today counts more than 23 million articles across languages (more than 4 million articles in the English Wikipedia alone) compared to 3.7 million total articles in 2005; today it ranks 6th by overall traffic according to Alexa, while it ranked 37th in 2005. (...) The Wikimedia Foundation is announcing the release of a pilot study conducted by Epic, an e-learning consultancy, in partnership with Oxford University - "Assessing the Accuracy and Quality of Wikipedia Entries Compared to Popular Online Alternative Encyclopaedias: A Preliminary Comparative Study Across Disciplines in English, Spanish and Arabic." The study compared a sample of English Wikipedia articles to equivalent articles in Encyclopaedia Britannica, Spanish Wikipedia to Enciclonet, and Arabic Wikipedia to Mawsoah and Arab Encyclopaedia. 22 articles in the sample were blind-assessed by 2 to 3 native speaking academic experts each, both quantitatively and qualitatively. The small size of the sample does not allow us to generalize the results to Wikipedia as a whole. However, as a pilot primarily focused on methodology, the study offers new insights into the design of a protocol for expert assessment of encyclopedic contents. For our editor community a

"... Big Data sind vor allem Massen von Informationen, die wie ein digitales Biotop Heerscharen von Propheten hervorbringen, deren Augen bereits in das Morgenrot einer neuen Menschheitsepoche vordringen. Was allerdings auffällt, wenn man sich ein wenig durch den wachsenden Bücher- und Artikelberg zum Thema arbeitet, ist, dass sich die Beispiele für neuartige und spektakuläre Big-Data-Analysen wiederholen. Ganz vorneweg läuft ein Artikel in der Zeitschrift «Nature» aus dem Jahr 2009, der über die Zusammenarbeit von staatlichen Epidemiologen und Google-Mitarbeitern berichtete, die zwischen 2003 und 2008 ein Verfahren zur möglichen Prävention von Grippe-Epidemien entwickelt haben. Sie korrelierten einschlägige Suchmaschinen-Nachfragen nach Grippe-Symptomen, Medikamenten, Antibiotika in bestimmten Regionen mit der Frequenz von Arztbesuchen und stellten damit ein prognostisches Modell für den Verlauf einer Epidemie auf. Zuvor wurden aus mehreren hundert Milliarden Google-Anfragen rund 50 Millionen ausgefiltert, deren Stichworte dem Grippe-Thema zugewiesen werden konnten. Jetzt erlauben es avancierte Rechenverfahren, die Entwicklung einer Seuche beinahe in Echtzeit zu verfolgen und dabei Vorbeugemassnahmen zu treffen. Das Beispiel ist schlagend, vor allem darum, weil es sich unmittelbar ins Reich des Menschheitsheils fügt. Wer will künftig seine Google-Anfragen noch unter Datenschutz stellen, wenn es doch - das oberste Pathosregister ist hier am Platze - um das Leben von Tausenden geht? Die übrigen Beispiele, die die Big-Data-Literatur zur Verfügung stellt, fallen eher in das Feld des smarten Kommerzes. Dass Jeff Bezos, der Gründer von Amazon, seine Bücher nicht von Kritikern anpreisen lässt, sondern den Kunden immer wieder Bücher empfiehlt, die sie eigentlich bereits gelesen haben, ist eine solche smarte Big-Data-Idee. Wer ein Buch über Hühner bestellt, bekommt kurz darauf eines über Hähne empfohlen. Im Prinzip geht es darum, Real-Time-Informa

OK, questa opinione libera è in tedesco, poco insegnato in Italia - poi per giunta è scritta da un professore di letteratura, perciò Google traduttore - se si mette l'URL in http://translate.google.com/ - a volte se la cava sorprendentemente bene, a volte produce parole alla rinfusa.

Descrizione di una ricerca sull'efficacia dei MOOC

(di Anna Lisa Bonfranceschi | Pubblicato il 22 Novembre 2013 . Alla fine: Via: Wired.it ( http://daily.wired.it/news/internet/2013/11/21/mooc-corsi-gratuiti-chi-frequenta-290384.html ) Credits immagine: World Bank Photo Collection/Flickr ( http://www.flickr.com/photos/worldbank/ ) L'articolo di Wired.it è lo stesso per il testo ma le illustrazioni sono diverse. Inoltre è sotto una licenza Creative Commons BY-NC-ND, mentre quello di galileo.net è sotto copyright stretto. Per l'articolo di Ezekiel J. Emanuel su Nature, del 20 novembre 2013, vedi http://www.nature.com/nature/journal/v503/n7476/full/503342a.html : abstract e possibilità di comprare la versione completa, oppure di visualizzarla gratuitamente). Annarita, scusa la parentesi aggiunta sopra: mi serve per un post che sto rimunginando sulla traduzione di ipertesti. Sul fondo: la cosa buffa è che Emanuel aveva scritto un ditirambo sui fondatori di Coursera ad aprile, http://time100.time.com/2013/04/18/time-100/slide/andrew-ng-and-daphne-koller/ , concludendo: "After I taught my first class through Coursera, I got this beautiful postcard from Sri Lanka in the mail, thanking me. I just thought that was crazy and amazing. There's no chance I would have reached that student just by what I was doing before." E quella cartolina di cui andava così fiero, cfr. anche http://www.post-gazette.com/news/education/2012/11/20/College-of-Future-Could-Be-Come-One-Come-All.print Per un'altra recensione di "Online education: MOOCs taken by educated few" di Emanuel , cfr. http://chronicle.com/blogs/wiredcampus/moocs-are-reaching-only-privileged-learners-survey-finds/48567 di Steve Kolowich, 20 nov. 2013.

Google Faces searching for faces on Google Maps,  The way we perceive our environment is a complex procedure. By the help of our vision we are able to recognize friends within a huge crowd, approximate the speed of an oncoming car or simply admire a painting. One of human's most characteristic features is our desire to detect patterns. We use this ability to penetrate into the detailed secrets of nature. However we also tend to use this ability to enrich our imagination. Hence we recognize meaningful shapes in clouds or detect a great bear upon astrological observations. Objective investigations and subjective imagination collide to one inseparable process. The tendency to detect meaning in vague visual stimuli is a psychological phenomenon called Pareidolia, and captures the core interest of this project.  video tutorial: http://vimeo.com/66055499#

"ImTranslator Translate and Speak ImTranslator offers a natural sounding text-to-speech system with translation capabilities that quickly translates text and reads it aloud at one click of a button."

Rispetto a Google traduttore: Anche Google traduttore offre la lettura audio tramite sintesi vocale, in più lingue, con voci più "umanizzate" e con traduzioni migliori. Però (ed è un grosso però): ImTranslator consente anche il confronto tra varie traduzioni automatiche, ivi compresa quella di Google, e le sue voci "artificiali" consentono un'accelerazione che si avvicina all'alta velocità adoperata dai ciechi per leggere con le orecchie tramite sintesi vocale

"By Matthew Sparkes, Deputy Head of Technology 12:03PM BST 06 Aug 2014 Wikimedia, the US-based organisation behind Wikipedia, has refused a photographer's repeated requests to remove one of his images which is used online without his permission, claiming that because a monkey pressed the shutter button it should own the copyright. British nature photographer David Slater was in Indonesia in 2011 attempting to get the perfect image of a crested black macaque when one of the animals came up to investigate his equipment, hijacked a camera and took hundreds of selfies. "