Public Security Sentiment Analysis on Social Web

Abstract

This article presents (1) the results of a literature review on social web mining and sentiment analysis on public security; (2) the idea of a framework for the analytical process involved in the literature review themes; and (3) a research agenda with a perspective for future studies, considering some elements of the analytical process. The literature review was based on searches of five databases: Scopus, IEEE Xplore, Web of Science, ScienceDirect, and Springer Link. Search strings were applied to retrieve literature material of four kinds, without defining an initial time milestone, to get the historical register of publications associated with the main thematic. After some filtering, primary and secondary findings were separated, enabling the identification of elements for the framework. Finally, the research agenda is presented, containing a set of three research artifacts related to the proposed framework.

The COVID-19 Infodemic on Twitter: A Space and Time Topic Analysis of the Brazilian Immunization Program and Public Trust

“…The methodological approach applied in our research was based on a social web mining framework [34] with the following main elements:…”

Towards corpora creation from social web in Brazilian Portuguese to support public security analyses and decisions

“…From the computational point of view, subjectivity identification is not an easy task (Cotfas et al, 2021). It would be difficult for public security authorities interested in using corpora created through social networks to deal with this characteristic since the search for people's opinions on situations involving crimes and violence in social networks should turn to the search for accurate records, which do not compromise the possible analyses, helping in the making of more adjusted decisions de Carvalho and Costa, 2021).…”

“…People's textual expression through the social web represents a valuable resource for decision support within organizations (Hogenboom et al, 2016), highlighting the public security and law enforcement agencies in this article. For example, analyzing what is published on social networks can provide public security authorities with information to anticipate actions on socially dangerous events, requiring police forces for mitigation or contention (Yue et al, 2019;de Carvalho and Costa, 2021). Another possibility well reported in the literature is the use of posts on social networks to detect or predict crimes or dangerous events of different nature (Aghababaei and Makrehchi, 2018;Marivate and Moiloa, 2016;Zhang et al, 2022) or to support analyzing peoples' opinions and attitudes in crises, as reported by Sv and Ittamalla (2021) and Feng et al (2022) for the case of COVID-19 pandemic.…”

“…For example, analyzing what is published on social networks can provide public security authorities with information to anticipate actions on socially dangerous events, requiring police forces for mitigation or contention (Yue et al. , 2019; de Carvalho and Costa, 2021). Another possibility well reported in the literature is the use of posts on social networks to detect or predict crimes or dangerous events of different nature (Aghababaei and Makrehchi, 2018; Marivate and Moiloa, 2016; Zhang et al.…”