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invid-verification-plugin's Introduction

Fake video news debunker by InVID

This plugin has been designed as a verification “Swiss army knife” helping journalists to save time and be more efficient in their fact-checking and debunking tasks on social networks especially when verifying videos and images.

The provided tools allow you to quickly get contextual information on Facebook and YouΤube videos, to perform reverse image search on Google, Baidu or Yandex search engines, to fragment videos from various platforms (Facebook, Instagram, YouTube, Twitter, Daily Motion) into keyframes, to enhance and explore keyframes and images through a magnifying lens, to query Twitter more efficiently through time intervals and many other filters, to read video and image metadata, and to apply forensic filters on still images.

For further details about the tool and the already released versions, please visit the webpage of the plugin (http://www.invid-project.eu/tools-and-services/invid-verification-plugin).

For any feedback (bugs, enhancement, suggestions), please e-mail us at: [email protected].

This plugin is brought to you by the InVID European project, a Horizon 2020 Innovation Action funded by the European Union under Grant Agreement 687786. For more information, visit the InVID website (www.invid-project.eu) or follow us on Twitter (https://twitter.com/InVID_EU).

Disclaimer: this software is provided "as is", without warranty of any kind, express or implied, including but not limited to the warranties of merchantability, fitness for a particular purpose and noninfringement. In no event shall the authors or copyright holders be liable for any claim, damages or other liability, whether in an action of contract, tort or otherwise, arising from, out of or in connection with the software or the use or other dealings in the software.

Third party api keys

This plugin use Google Analytics and Slack API that required your own keys. Please use yours on the files below:

Google-analytics: js/ga.js (line 5) and js/menu.js (line 5)
Slack: js/jquery.feedback_me.js (line 821)

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