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- Title
Social Intelligence Mining: Unlocking Insights from X.
- Authors
Hassani, Hossein; Komendantova, Nadejda; Rovenskaya, Elena; Yeganegi, Mohammad Reza
- Abstract
Social trend mining, situated at the confluence of data science and social research, provides a novel lens through which to examine societal dynamics and emerging trends. This paper explores the intricate landscape of social trend mining, with a specific emphasis on discerning leading and lagging trends. Within this context, our study employs social trend mining techniques to scrutinize X (formerly Twitter) data pertaining to risk management, earthquakes, and disasters. A comprehensive comprehension of how individuals perceive the significance of these pivotal facets within disaster risk management is essential for shaping policies that garner public acceptance. This paper sheds light on the intricacies of public sentiment and provides valuable insights for policymakers and researchers alike.
- Subjects
SOCIAL intelligence; EMERGENCY management; PUBLIC opinion; RESEARCH personnel
- Publication
Machine Learning & Knowledge Extraction, 2023, Vol 5, Issue 4, p1921
- ISSN
2504-4990
- Publication type
Article
- DOI
10.3390/make5040093