Project Taarruf

Detecting Digital Islamophobia & Building Awareness

A 12-month initiative that aims to detect digital Islamophobia using digital tools and to raise public awareness via open-access tools, thereby enabling the development of effective policies to combat Islamophobia.

Project Components

X (Twitter) Monitoring

Real-time monitoring and datafication of Islamophobic content on X, with visualization tools to track trends and patterns.

Language Model & Fine-tuning

Development and continuous refinement of specialized language models trained on Islamophobic content datasets.

Policy-Focused Analytics

Providing policymakers with data-driven insights and datasets to inform effective policies against Islamophobia.

Interactive Chatbot

Open-access tool enabling correction and transformation of Islamophobic language and narratives.

Dashboard

Islamophobic Tweet Activity
Number of islamophobic tweets and replies over time with date range controls
Overall Statistics Summary
Aggregate counts of all analyzed tweets and replies
Tweet Classification Distribution
Breakdown of analyzed tweets into islamophobic and normal categories

Islamophobic

46

0.6%

Normal

7402

99.4%

Reply Classification Distribution
Breakdown of analyzed replies into islamophobic and normal categories

Islamophobic

310

3.2%

Normal

9327

96.8%