.Gov campaign:

'This website brings together advice and resources to help you keep the children in your life safe.'

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For 10 years, Matthew Hardy harassed people online by creating fake social media accounts to spread lies about them.

His targets had very little in common - they varied in age, had unconnected jobs and were living in different areas when they were targeted.

However, one thing they all shared was a persistent paranoia, brought on by not knowing the identity of the person behind the accounts or why they were being targeted.

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The draft online safety bill would not stop the sharing of "insidious" images of child abuse and violence against women and girls, MPs have said.

The Commons culture committee warned the government its proposed legislation is not clear or robust enough.

Content which is currently technically legal, such as deepfake pornography, still needs addressing, they said.

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Foreword by Dame Rachel de Souza DBE

Since March 2020, thousands of young women have been sharing their experiences of sexual harassment through the ‘Everyone’s Invited’ project. This is an online platform where girls ‑ who are still mostly in school – have described growing up in a world where harassment, including sexualised comments, slut‑shaming and the sharing of nude pictures, is part of their everyday lives. This harmful behaviour happens online and offline. I’ve seen this first‑hand during my time as a headteacher and I know how stressful and damaging it can be for children, especially girls.

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Schools and parents should do more to support students who are being sexually harassed through platforms such as Snapchat and Instagram, while the tech companies need to clamp down on non-consensual sexual images being sent to young people, according to new research released on Monday.

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StopNCII.org is a free tool designed to support victims of Non-Consensual Intimate Image (NCII) abuse.

The tool works by generating a hash from your intimate image(s)/video(s). Image hashing is the process of using an algorithm to assign a unique hash value to an image.

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