International Journal of Data and Network Science (Jan 2023)

Extremism immunity through artificial intelligence networks: Extremism awareness and social intelligence

  • Ragmoun Wided,
  • Abdulaziz Abdulmohsen Alfalih

DOI
https://doi.org/10.5267/j.ijdns.2022.9.013
Journal volume & issue
Vol. 7, no. 1
pp. 341 – 356

Abstract

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Can artificial intelligence networks promote extremism awareness through social intelligence and emotional intelligence? This research contributes to this question in the context of Saudi Arabia. This study defines a model of a cooperative process through an artificial intelligence network, based on knowledge exchange, to generate a high level of extremism awareness and social intelligence. Four main variables were adopted, developed, defined, and measured: artificial intelligence networks, social intelligence, emotional intelligence, and extremism awareness. We fixed attributes for contextualized interactions through a network platform, between professionals and non-professionals, against extremism. The application of artificial intelligence in such platforms lets members share reliable information to combat extremism more effectively. The findings demonstrate that network centrality, network scale, relationship strengths, relationship stability, and reciprocity developed through artificial intelligence networks stimulate extremism awareness by developing social awareness. Emotional intelligence also seems to be important. It moderates the link between platform users and extremism awareness. It facilitates situational and contextual awareness to define appropriate behavior.