Extremism detection Computer Vision Project
Updated 2 years ago
Metrics
Here are a few use cases for this project:
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Online Content Moderation: Use the Extremism Detection model to automatically flag and remove extremist content, such as images containing Nazi symbols, firearms, or extremist individuals, from social media platforms, forums, and websites to maintain a safe and inclusive online environment.
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Law Enforcement and Intelligence Agencies: Apply the model to help law enforcement and intelligence agencies detect and monitor extremist activities, identify potentially dangerous individuals or groups, and gather evidence to prevent hate crimes, radicalization, and threats to national security.
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Surveillance System and Security Enhancements: Implement the Extremism Detection model in surveillance systems to ensure public safety by identifying and alerting security personnel of potential extremist threats in real-time.
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Education and Awareness Programs: Utilize the model to create educational materials and training programs for schools, workplaces, and NGOs to increase understanding and awareness of the dangers of extremist ideology, detect early signs of radicalization, and foster a more tolerant society.
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Research and Analysis: Deploy the Extremism Detection model in studies examining the prevalence of extremist content online, the factors contributing to radicalization, and the effectiveness of counter-extremism efforts, providing valuable data for policymakers and researchers.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
extremism-detection_dataset,
title = { Extremism detection Dataset },
type = { Open Source Dataset },
author = { Kukkichi },
howpublished = { \url{ https://universe.roboflow.com/kukkichi/extremism-detection } },
url = { https://universe.roboflow.com/kukkichi/extremism-detection },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { may },
note = { visited on 2024-11-21 },
}