Agile Navigation Approach To Online Violence Against Children Through AI
July 15th, 2021

Investigating Online Violence against Children (OVAC) through Natural Language Processing by analyzing news articles and collecting data as a part of Omdena project, conducted in partnership with Save The Children.   Author: Diana Roccaro   Setting Project Goa

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Understanding Youth Sentiments Through Artificial Intelligence
July 13th, 2021

In this article, we implemented a Data Analysis pipeline to understand youth sentiments, analyzing aspirations, fears, and thoughts of the youth through scraping the web and youth-led media. Going through their sentiment analysis during the pandemic and around different

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Exploring Scientific Literature on Online Violence Against Children Using Natural Language Processing
November 23rd, 2020

The following work is part of the Omdena AI Challenge on preventing online violence against children, implemented in collaboration with John Zoltner at Save the Children US. This article is written by Wen Qing Lim, Maria Guerra-Arias, Sijuade Oguntayo   Tex

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Internet Safety for Children: Using NLP to Predict the Risk Level of Online Games, Websites, and Applications
November 20th, 2020

The following work is part of the Omdena AI Challenge on improving internet safety for children, implemented in collaboration with John Zoltner at Save the Children US. This blog was written by Sabrina Carlson and co-authored by Erum Afzal. Contributors include Anna

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A Chatbot Warning System Against Online Predators
November 18th, 2020

By Jeremy Wood and Guneet Singh Kohli     Using Natural Language Processing to warn children against online predators. The following work is part of the Omdena AI Challenge on preventing online violence against children, implemented in collaboration with John Zo

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