The rise of Jihadist propaganda on social networks
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DOI: 10.1007/s42001-018-0015-z
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Cited by:
- Masood, Muhammad Ali & Abbasi, Rabeeh Ayaz, 2021. "Using graph embedding and machine learning to identify rebels on twitter," Journal of Informetrics, Elsevier, vol. 15(1).
- Yaming Zhang & Wenjie Song & Jiang Shao & Majed Abbas & Jiaqi Zhang & Yaya H. Koura & Yanyuan Su, 2023. "Social Bots’ Role in the COVID-19 Pandemic Discussion on Twitter," IJERPH, MDPI, vol. 20(4), pages 1-21, February.
- Andrea Ceron & Luigi Curini & Stefano M. Iacus, 2019. "ISIS at Its Apogee: The Arabic Discourse on Twitter and What We Can Learn From That About ISIS Support and Foreign Fighters," SAGE Open, , vol. 9(1), pages 21582440187, March.
- Anna Ruelens, 2022. "Analyzing user-generated content using natural language processing: a case study of public satisfaction with healthcare systems," Journal of Computational Social Science, Springer, vol. 5(1), pages 731-749, May.
- Coche, Eugénie, 2018. "Privatised enforcement and the right to freedom of expression in a world confronted with terrorism propaganda online," Internet Policy Review: Journal on Internet Regulation, Alexander von Humboldt Institute for Internet and Society (HIIG), Berlin, vol. 7(4), pages 1-17.
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Keywords
Computational social science; Social media; Twitter; ISIS; Islamic radicalization;All these keywords.
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