How to Search Information About a Facebook Profile How to Search Information About a Facebook Profile Facebook graph search has stopped working since June 7th, 2019. As a result, it has become near impossible to gather in-depth data about a Facebook user like before. In this blog, we will discuss new solutions to overcome the limitations. You would rather be surprised to know that it’s still possible to search in Graph search like formats. The new process involves JSON and Base 64 encoding. How to Find the ID Numbers:Even with the new process, ‘entity_id’, ‘page_id’ and ‘group_id’ are the most crucial parameters. Open the Profile or page or group of interest in a web browser Right click somewhere on the page and choose “View page source” Search using Ctrl+F for the above parameters: ‘entity_id’ (when looking at a profile), ‘page_id’ (when looking at a page) and ‘group_id’ (when looking at a group). Also similar to the previous Graph Search, choose ‘English US’ in the language settings for the best results. How to Use CyberChef Website:
INFODEMIC, le documentaire de Thomas Huchon Comment vérifier l'authenticité d'une vidéo publiée sur les réseaux sociaux - CLEMI Collège Français Cycle 4 - Classe de 4e "Informer, s’informer, déformer ? - Découvrir des articles, des reportages, des images d’information sur des supports et dans des formats divers, se rapportant à un même événement, à une question de société ou à une thématique commune - Comprendre l’importance de la vérification et du recoupement des sources, la différence entre fait brut et information, les effets de la rédaction et du montage Histoire et géographie Cycle 3 "S'informer dans le monde du numérique" - Trouver, sélectionner et exploiter des informations dans une ressource numérique - Identifier la ressource numérique utilisée - Identifier le document et savoir pourquoi il doit être identifié Cycle 4 - Utiliser des moteurs de recherche, des dictionnaires et des encyclopédies en ligne, des sites et des réseaux de ressources documentaires, des manuels numériques, des systèmes d’information géographique - Vérifier l’origine/la source des informations et leur pertinence Lycée Français 2de Bac pro
Jeffrey Friedl's Image Metadata Viewer If you have questions about this tool, please see the FAQ. UnBias | Emancipating Users Against Algorithmic Biases for a Trusted Digital Economy Deepfake Bot Submissions to Federal Public Comment Websites Cannot Be Distinguished from Human Submissions | Technology Science Abstract The federal comment period is an important way that federal agencies incorporate public input into policy decisions. Now that comments are accepted online, public comment periods are vulnerable to attacks at Internet scale. For example, in 2017, more than 21 million (96% of the 22 million) public comments submitted regarding the FCC’s proposal to repeal net neutrality were discernible as being generated using search-and-replace techniques [1]. Publicly available artificial intelligence methods can now generate “Deepfake Text,” computer-generated text that closely mimics original human speech. Results summary: The bot generated and submitted 1,001 deepfake comments to the public comment website at Medicaid.gov over a period of four days. Introduction However, soon after the end of the public comment period, researchers alleged that hundreds of thousands of the comments were submitted under fake names, some stolen and others completely fabricated [2]. Figure 1. Figure 2. Methods
Citizen Evidence d'Amnesty International Comment est-il possible de vérifier une vidéo sur YouTube? L’organisation «Amnesty International» lance un nouveau site destiné aux journalistes pour les aider à vérifier la fiabilité de vidéos YouTube. Considérons cette vidéo amateur : l’image ballotte et on entend des coups de feu. Un bâtiment semblable à une mosquée fume, le narrateur parle Arabe, il est indiqué dans les sous-titres que l’action se passe en Syrie, dans la banlieue de Damas. Cette vidéo est assez convaincante, mais est-elle authentique? «Amnesty International» s’est principalement penché sur les vidéos YouTube.
Facebook Media - Facebook Journalism Project Real Solutions to Fake News: How Libraries Help Skip to main content You are here: Home » Activities and Groups » Information Society » News » Real Solutions to Fake News: How Libraries Help Search form 20 August 2017 From the Annual Conference Real Solutions to Fake News: How Libraries Help Русский | Español | Deutsch | 简体中文 | français | العربية Freedoms of access to information and expression online are at risk. For IFLA, neither of these solutions is desirable. IFLA’s infographic has been a big success. The Library of the Finnish Parliament introduced the infographic at the Parliament “Committee of the Future” meeting, and it has featured in a number of articles and essays. In Vietnam, library instructors at the University of Danang used the infographic to impart information literacy classes and share the risks associated with the inability to recognize a piece of news as fake. In Sweden, librarians exhibited translations of the poster in Swedish, English, Arabic, and Romanian at maker party events. List all IFLA news
Guide To Using Reverse Image Search For Investigations Reverse image search is one of the most well-known and easiest digital investigative techniques, with two-click functionality of choosing “Search Google for image” in many web browsers. This method has also seen widespread use in popular culture, perhaps most notably in the MTV show Catfish, which exposes people in online relationships who use stolen photographs on their social media. However, if you only use Google for reverse image searching, you will be disappointed more often than not. Limiting your search process to uploading a photograph in its original form to just images.google.com may give you useful results for the most obviously stolen or popular images, but for most any sophisticated research project, you need additional sites at your disposal — along with a lot of creativity. This guide will walk through detailed strategies to use reverse image search in digital investigations, with an eye towards identifying people and locations, along with determining an image’s progeny.
Jeu de cartes pour décoder le vrai du faux : What the fake Lip-syncing Obama: New tools turn audio clips into realistic video Engineering | News releases | Research | Science | Technology July 11, 2017 University of Washington researchers have developed new algorithms that solve a thorny challenge in the field of computer vision: turning audio clips into a realistic, lip-synced video of the person speaking those words. As detailed in a paper to be presented Aug. 2 at SIGGRAPH 2017, the team successfully generated highly-realistic video of former president Barack Obama talking about terrorism, fatherhood, job creation and other topics using audio clips of those speeches and existing weekly video addresses that were originally on a different topic. “These type of results have never been shown before,” said Ira Kemelmacher-Shlizerman, an assistant professor at the UW’s Paul G. Allen School of Computer Science & Engineering. The team chose Obama because the machine learning technique needs available video of the person to learn from, and there were hours of presidential videos in the public domain.