RelFinder - Visual Data Web Are you interested in how things are related with each other? The RelFinder helps to get an overview: It extracts and visualizes relationships between given objects in RDF data and makes these relationships interactively explorable. Highlighting and filtering features support visual analysis both on a global and detailed level. The RelFinder is based on the open source framework Adobe Flex, easy-to-use and works with any RDF dataset that provides standardized SPARQL access. Check out the following links for some examples: The RelFinder can easily be configured to work with different RDF datasets. The RelFinder can also be more deeply integrated with your project: Integrating the RelFinder See the following examples of how the RelFinder is integrated into other projects: Ontotext applies the RelFinder to enable an exploration of relationships in the biomedical domain. All tools on this website are research prototypes that might contain errors.
SIFT (The Four Moves) How can students get better at sorting truth from fiction from everything in between? At applying their attention to the things that matter? At amplifying better treatments of issues, and avoiding clickbait? Since 2017, we’ve been teaching students with something called the Four Moves. Our solution is to give students and others a short list of things to do when looking at a source, and hook each of those things to one or two highly effective web techniques. We call the “things to do” moves and there are four of them: Stop The first move is the simplest. First, when you first hit a page or post and start to read it — STOP. Second, after you begin to use the other moves it can be easy to go down a rabbit hole, going off on tangents only distantly related to your original task. Please keep in mind that both sorts of investigations are equally useful. Investigate the source We’ll go into this move more on the next page. Find better coverage It’s about REcontextualizing Like this: Like Loading...
Interactive: Mapping the World's Friendships Technology bridges distance and borders. Individuals today can keep in touch with their friends and family in completely new ways — regardless of where they live. We explored these international connections through Facebook and found some trends — some predictable, some wholly unexpected, and some still inexplicable. Who can explain the strong link between the Democratic Republic of Congo, one of the poorest countries in the heart of Africa, and Ecuador? The reason the Central African Republic might be good friends with Kazakhstan is likewise mysterious to us. But as we did a little research, some unusual connections become surprisingly clear. Immigration is one of the strongest links that seems to bind these Facebook neighbors, as thousands of people pour over borders or over seas, seeking jobs or fleeing violence, and making new connections and maintaining old friendships along the way.
'Fiction is outperforming reality': how YouTube's algorithm distorts truth It was one of January’s most viral videos. Logan Paul, a YouTube celebrity, stumbles across a dead man hanging from a tree. The 22-year-old, who is in a Japanese forest famous as a suicide spot, is visibly shocked, then amused. Paul, who has 16 million mostly teen subscribers to his YouTube channel, removed the video from YouTube 24 hours later amid a furious backlash. The next day, I watched a copy of the video on YouTube. The answer was a slew of videos of men mocking distraught teenage fans of Logan Paul, followed by CCTV footage of children stealing things and, a few clicks later, a video of children having their teeth pulled out with bizarre, homemade contraptions. I had cleared my history, deleted my cookies, and opened a private browser to be sure YouTube was not personalising recommendations. “I’m going to post it on YouTube,” said a teenage girl, who sounded like she might be an older sibling. Lately, it has also become one of the most controversial. It was a curious response.
NameBase NameBase is a web-based cross-indexed database of names that focuses on individuals involved in the international intelligence community, U.S. foreign policy, crime, and business. The focus is on the post-World War II era and on left of center, conspiracy theory, and espionage activities.[1] In the 1980s, through his company Micro Associates, he sold subscriptions to this computerized database, under its original name, Public Information Research, Inc (PIR). At PIR's onset, Brandt was President of the newly formed non-profit corporation and investigative researcher, Peggy Adler, served as its Vice President. By 1992, private citizens, news organizations, and universities all were using NameBase.[6] In 1995, these efforts became the basis of the NameBase website.[7] As of 2003, the database contained "over 100,000 names with over 260,000 citations drawn from books and serials with a few documents obtained under the Freedom of Information Act References[edit] External links[edit]
INFO ou INTOX °23 : Comment détecter les manipulations graphiques sur une photo Sur Internet, une image vous interroge, vous avez des doutes sur sa véracité : c'est un bon début. Mais prouver que cette image a été manipulée, c'est encore mieux. Dans cet épisode de Info ou Intox, nous présentons un outil en ligne gratuit qui permet de repérer les retouches dans une image. On les appelle les outils "Forensics" (forensiques en français). Ils permettent de mener l'enquête et d'analyser graphiquement si une photo a subi une modification avec un logiciel de retouche photo. Dans cette vidéo, ,notre journaliste Alexandre Capron montre comment utiliser un de ces outils que vous pourrez retrouver : en installant le plugin InViden vous rendant à cette adresse : Reveal Mklab ou Fotoforensics "Pour maîtriser cet outil, il faut s'entrainer !" Pour bien utiliser cet outil, il est nécessaire de voir plusieurs exemples. Pour revoir tous les épisodes de Info ou Intox, cliquez sur l'image ci-dessous :
Proximity Search: Entry Page La Cina e il cyberesercito di distrazione di massa Mancano 2 giorni al Wired Next Fest. Pubblicato Spesso ci si concentra nel comprendere in cosa consistano esattamente censura e controllo di massa. Un nuovo studio dell’università di Harvard torna a mettere sotto la lente il caso di studio più eclatante del pianeta, quello cinese. Cosa fanno? I dati sono stati raccolti da email trafugate dal dipartimento dedicato alla propaganda su internet del distretto di Zhanggong, nella provincia dello Jiangxi. Poi non rimane loro che mettersi i vestiti di astuti argomentatori da social, costruendo temi e discussioni in grado di spostare il fuoco verso lidi più graditi. Sono fatti provati e testimoniati che raccontano come, al di là della Grande Muraglia Digitale, il Golden Shield Project, il controllo dell’opinione pubblica – specialmente in una fase come quella attuale, fatta di una progressiva mutazione finanziaria ed economica del Paese e di inedite tensioni – continui a essere centrale. “Il controllo in Cina è enorme, più di quanto si pensi.
Influence Networks: mode d’emploi OWNI présente Influence Networks, un répertoire ouvert et sémantique des relations entre personnalités, institutions et entreprises. Chaque élément est noté selon sa crédibilité, si bien que le bruit reste distinct du signal. En octobre 2010, lors du Personal Democracy Forum de Barcelone, plusieurs journalistes d’investigation ont expliqué comment ils avaient débusqué des affaires de corruption en procédant à l’analyse de réseaux. L’un d’entre eux, Dejan Milovac, a enquêté sur un projet immobilier situé sur la côte du Monténégro. Il a décortiqué les réseaux financiers autour du projet et montré comment des politiciens locaux étaient de mèche avec les promoteurs qui saccagent le littoral. Le résultat se visualise ainsi : Le schéma pourrait gagner en lisibilité. L’analyse de réseaux est un thème en vogue chez les médias et les ONG. Du côté des geeks, le projet Little Sis est, lui, collaboratif et ouvert, avec son API. Comment ça marche ? Prenons un exemple. Investigation collaborative