The internet has become an essential part of our everyday lives, but more importantly, a tool that shapes the nature of human personality. Today, technology is used in education more than ever before, meaning students can enter the world wide web at a very early age.
Children are the most vulnerable group on the internet, especially considering that approximately 82% of children use the internet every day or at least several times a week. The problem with children having full access to the internet is they are inexperienced and therefore believe almost everything they hear. At the same time, they are innocent enough not to expect the worst from other people, and that, combined with curiosity, brings them places that they really shouldn’t visit.
With the increased use of educational technology comes certain dangers, such as unsolicited content, violence, theft, cyberbullying, obsessive communication – all of these can negatively affect students’ mental health and overall well-being. Fortunately, there are tools that make the endless web more simple and secure for the students.
At Blocksi we created a solution that scans 100% of student-generated content and is able to detect cyberbullying, threats, self-harm, toxicity emails, and images across google drive. All the content is then being human-reviewed by trained social studies graduates to ensure that all content of concern is correctly flagged.
We built a model that classifies texts into four categories:
- cyberbullying and
- safe languages.
An AI is flagging only the true positive content, so as to avoid any false alerts, and sending alerts to customers when an imminent threat is detected. To ensure the model’s accuracy and rapidity, a team of data scientists is using a Deep Neural network with ML (which is basically a machine learning model) that enables continuous data retraining and labeling.
Cloud-based Content filtering is leveraging the power of the cloud. Such web filters offer the processing power of thousands of synchronized servers. These filters reliably filter out controversial content while leaving out good sites. The availability of cloud platforms makes it more effective and easier to maintain databases of undesirable websites and databases that artificial intelligence machine learning references to improve their content filtering heuristics and algorithms over time.
Another thing about Cloud-based web filtering is that it makes it possible to dynamically adapt to the web as it constantly evolves, without having to schedule updates.
Appropriate digital use and risk awareness are crucial in preventing early triggers of mental disorders in students. Content filtering combined with Screen Monitoring helps guide students towards appropriate and accessible content, which in turn creates a safe haven for students to learn and grow.