Explore the words cloud of the KEEPERS project. It provides you a very rough idea of what is the project "KEEPERS" about.
The following table provides information about the project.
LIBI - LIPSKIN-YAAKOBI-BUDOV INNOVATION LTD
|Coordinator Country||Israel [IL]|
|Total cost||71˙429 €|
|EC max contribution||50˙000 € (70%)|
1. H2020-EU.3.7. (Secure societies - Protecting freedom and security of Europe and its citizens)
2. H2020-EU.2.3.1. (Mainstreaming SME support, especially through a dedicated instrument)
|Duration (year-month-day)||from 2017-04-01 to 2017-08-31|
Take a look of project's partnership.
|1||LIBI - LIPSKIN-YAAKOBI-BUDOV INNOVATION LTD||IL (JERUSALEM)||coordinator||50˙000.00|
Today Children communicate mainly through social media or mobile phones. Violence is prevalent in cyberspace and follows children everywhere. According to the 2015 UN survey 35% of children have been victims of social networks shaming. It's a well known fact that parents today lack tools to cope with the advancing technology. Every 7 minutes a child is harassed on the internet 80% Of cyberbullying cases are not reported 70% Admit they are affected by cyberbullying Keepers enables parents to monitor their child's mobile phone usage and become aware of any shaming/bullying phenomena their child might experience by spotting and filtering problematic and abusive content.
Supervision and Monitoring - Keepers inspects the content the child is exposed to, analyzes it, and reports offensive langua Concealed - Keepers app is hidden on the child's device Analysis of Malicious Content - Keepers tracks and filters problematic content and sends appropriate alerts Privacy - only pre-defined problem content is reported to preserve the child's independence Dynamic Dictionary - Keepers adds specific words to the default local user dictionary based on parent settings. Cross Platform Solution – Keepers detects incoming/outgoing messages on all social platform using the OCR algorithm Consulting – Keepers connects parents with social services to help taekle any ongoing problems Social Machine Learning - Keepers algorithm collect suggestions from various users and automatically learn to detect abusive content based on AI (artificial intelligence) and NLP (Natural Language Processing) technologies
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The information about "KEEPERS" are provided by the European Opendata Portal: CORDIS opendata.
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