Search Results for Tag: InVID
The EU co-funded InVID project (2016-2019) focussed on the algorithm-supported analysis and verification of videos, something its predecessor REVEAL wasn’t able to cover. Not only did we learn a lot about manipulated video content and ways to detect it in the course of the InVID effort, the consortium also managed to create a number of useful tools for the international verification community. Here’s an overview.
DateMonday, October 14th, 2019
Analyzing and verifying digital content with the help of digital technology has kept us busy for quite some time.
DateMonday, January 21st, 2019
The Office of the High Commissioner for Human Rights (OHCHR) has been focusing on ICT applications to support human rights work for some time. Over the past years, the office undertook a number of initiatives and activities in partnership with experts and relevant organizations in this area. Throughout, it became obvious that there is a clear need for human rights investigators to be equipped with special digital tools: Tools that allow for the collection, storing, analysis, tagging and browsing of digital images in order to detect and document human rights violations.
DateTuesday, December 5th, 2017
After 15 months of development, with around 15 people involved and about 15 organizations testing it and providing feedback, Truly Media is finally entering the commercial market. The Google DNI project, formerly known as Verify Media and carried about by DW’s Research & Cooperations Projects (DW Innovation) and ATC’s iLab, has come to a successful end. The result of all this effort is a commercial verification platform that allows journalists to aggregate and verify User-Generated-Content (UGC) in real-time. A key asset: all this can be done collaboratively.
DateThursday, November 2nd, 2017
The InVID research project releases a plug-in that supports journalists in verifying videos
One of the research projects in which we are involved is InVID – ‘In Video Veritas’. The project, running from 2016 until the end of 2018, deals with various aspects of video verification. This includes investigating legal aspects, supporting rights clearance processes, and above all the development and testing of tools and modules that support and part-automate the verification of videos.
Half-way into the project’s duration, the project is pleased that first results can be made available to the public and, in particular, the verification community.
DateTuesday, August 8th, 2017
Tagsdebunking, EC, fact-checking, InVID, project results, research project, social media, User-generated content, verification, video verification
Joining the initiative to streamline verification and increase news literacy
The First Draft News initiative is one of the leading actors or platforms in the field of social media newsgathering and verification of eyewitness media. Supported by Google News Lab and launched in mid-2015, the main aim of the undertaking is to portray the state of affairs in social newsgathering, provide training material and pool resources on the project website – launched in November 2015.
DateFriday, September 16th, 2016
Tagseyewitness media, First Draft News, InVID, News Initiative, Reveal Project, social media verification, UGC
In the EU funded InVID project we are working hard on solutions to make verification of User Generated Video (UGV) easier and more trustworthy. Right now there are only a few tools to help journalists verify the authenticity of video materials from Social Networks. InVID aims to fill that gap, providing the means with which verification of UGV becomes easier and therefore allows journalists to use (more) trustworthy UGV in their reporting.
DateWednesday, August 10th, 2016
InVID (In Video Veritas) aims to assist in and partly automate the verification of videos captured by eyewitnesses, also referred to as user-generated content. A main goal is to make such videos usable for news providers for inclusion in their daily editorial work by developing a platform that provides services and features that detect, authenticate and check the reliability and accuracy of newsworthy video files spread via social networks.
DateFriday, January 29th, 2016