RESOURCES

Featured Project.

Build a future.

168,000

Targeted population

4-6 years

October 2019 - August 2023

Support a classroom. Build a future.

ongoing0%

Publications

Content analysis report

A technology-supported online content analysis developed by Textgain (Belgium) to identify the push and pull factors and root causes bringing to radicalization. Textgain develops social media monitoring tools that collect data from social media and then analyses that data using Artificial Intelligence technology from the field of Natural Language Processing (NLP). NLP is technology that is able to automatically extract information from large document streams through automated text analysis. This provides a quantitative perspective on the data that is able to support the qualitative analyses about push and pull factors of extremism and radicalisation.

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Target audience mapping report

A field research aimed at finding information useful to the construction of effective communication campaigns on social media about fake news, hate speech and populism, extremism and radicalisation. In particular, through interviews and focus groups, the report has collected: information on the target audience (young people from 18 to 25 potentially vulnerable to extremist propaganda in Italy, the Netherlands, Austria and Greece), regarding their political orientation, religious beliefs, cultural interests, media preferences and practices, socio-economic backgrounds, social networks they operate in, etc.; identification of places, themes and ways that fuel hate speech and the various forms of extremism addressed by our project; detection of any counter- and alternative narratives that can be developed during the communication campaigns.

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Newsletters

Brochures

Το έργο COMMIT

Το έργο COMMIT αποσκοπεί στην πρόληψη και αποφυγή της βίαιης ριζοσπαστικοποίησης και στροφής των ευάλωτων νέων στον εξτρεμισμό και την τρομοκρατία στην Ελλάδα, την Ιταλία, την Αυστρία και την Ολλανδία. Στόχος του έργου είναι να καλλιεργήσει στους νέους δεξιότητες που θα τους βοηθήσουν: 1. Να δημιουργούν αντι-αφηγήματα που θα αμφισβητούν

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Technology

SELF-LEARNING TECHNOLOGY

COMMIT uses technology that is based on artificial intelligence and machine learning.

The algorithms used within this project autonomously search for patterns in the collected data. They help us gain insight regarding the subject people discuss on social media and where signs of polarization can be discerned.

PRIVACY

COMMIT always puts the protection of privacy first. We only use data of public social media accounts, and the data on the dashboard can never be linked to an individual.

All our activities comply with the General Data Protection Regulation (GDPR), the European privacy law regarding the protection of personal data.