Previous 2 / 22 Next

LIST OF CONTENT FOREWORD .............................................................................................................................................. 1 1. INTRODUCTION .................................................................................................................................... 2 2. UNDERSTANDING ONLINE HATE SPEECH AND TFGBV ................................................................ 3 3. THE AI TOOL FOR DETECTION AND RESEARCH ............................................................................ 7 4. USABILITY AND TECHNICAL ACCESSIBILITY ................................................................................. 9 5. CHALLENGES AND LIMITATIONS .................................................................................................... 10 6. RECOMMENDATIONS ........................................................................................................................ 12 7. CONCLUSION: A SUPPORTIVE TOOL FOR GENDER JUSTICE .................................................... 13 8. SOURCES ............................................................................................................................................ 14 THE TOOL................................................................................................................................................ 16 ABOUT THE ORGANISATIONS ............................................................................................................. 16 ANNEX 1 – KVINFO’S STRATEGY ON TFGBV..................................................................................... 17 ANNEX 2 – IMS’ LEARNING BRIEFS .................................................................................................... 19 This publication is part of the acceleration project Digital Rights: Towards a more inclusive online space, by International Media Support (IMS) and KVINFO, in collaboration with Jordan Open Source Association (JOSA) and Tadwein in the HRIC consortium, in the DAPP programme. Written by KVINFO

Select target paragraph3

● ● ●

Preventing Technology-Facilitated Gender-Based Violence in Egypt

Research Paper

Preview

Publication Date: Mar 1, 2026

Research Paper Type: Research Paper Type: Report

Country

Latitude: 26.2540493

Longitude: 29.2675469

Country (linked Research Paper): Egypt

Description: TFGBV affects millions of people, and the impact of TFGBV on women, girls, LGBTIQ+ persons, and other specifically exposed groups is profound and multifaceted. In a study from 2021, 60 percent of women in the Arab states reported experiencing some form of online harassment.3 Globally, different studies indicate that between 16-60 percent of women are affected.4 Looking specifically at women human rights defenders, activists, journalists and media workers, the number is as high as 70 percent.5 Perpetrators are often associated with anti-gender and anti-feminist individuals or groups, but can also be state agents or other users of ICT. This is why International Media Support (IMS), Jordan Open Source Association (JOSA), KVINFO and Tadwein set out to create an AI-powered tool for gendered hate speech detection in 2025, focusing on the Egyptian dialect of Arabic. The project has included collecting experiences from a pilot project in Jordan, a robust annotation process, focus group discussions with experts, training of trainers and many more elements, in order to produce an AI-model with high precision of detection and intuitive useability. The model includes features facilitating use for a range of tech savvy to non-tech interested activists, researchers, journalists and organisations.

Publisher

KVINFO

Source: Preventing Technology-Facilitated Gender-Based Violence in Egypt

Language: English

ID: OGH0169-2821

Primary Documents

Preventing_Hate_Online_FULL-REPORT.pdf
English
Download View