This chapter explores the value of artificial intelligence technologies in assessing complex social phenomena, emphasizing methodological innovation and tool development for understanding large-scale events. Using machine learning and text analysis tools, we present a case study on the Russia–Ukraine conflict. Our investigation delves into the potential of these technologies to comprehend public reactions to sanctions against Russia, focusing on digital perceptions of the conflict, emotional responses to sanctions, and the reliability of ICTs in analyzing digital contexts. This research underscores the role of technology in informing policymaking amidst evolving global scenarios.

Artificial Intelligence and Text Analysis in Evaluating Complex Social Phenomena: The Russia–Ukraine Conflict

Mazzeo Rinaldi, Francesco
;
Celardi, Elvira;Miracula, Vincenzo;Picone, Antonio
2024-01-01

Abstract

This chapter explores the value of artificial intelligence technologies in assessing complex social phenomena, emphasizing methodological innovation and tool development for understanding large-scale events. Using machine learning and text analysis tools, we present a case study on the Russia–Ukraine conflict. Our investigation delves into the potential of these technologies to comprehend public reactions to sanctions against Russia, focusing on digital perceptions of the conflict, emotional responses to sanctions, and the reliability of ICTs in analyzing digital contexts. This research underscores the role of technology in informing policymaking amidst evolving global scenarios.
2024
9781003512493
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/634690
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