Identifying Topics in Tweets Related to Citizen Security

Josselyn Jimenez; Ruth Reátegui; Janneth Chicaiza; Henry N. Roa; Daniel Pulla-Sánchez

doi:10.1007/978-3-031-97119-8_43

Identifying Topics in Tweets Related to Citizen Security

Josselyn Jimenez
, Ruth Reátegui
, Janneth Chicaiza
, Henry N. Roa
, Daniel Pulla-Sánchez

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Crime and violence remain a significant challenge that impacts the economy and well-being. Citizens’ voices can be heard through social networks, especially when discussing security issues. Therefore, the objective of this research is to identify topics that are discussed in social network X concerning citizen security. Two algorithms were applied to identify the topic: LDA and BERTopic. Using the coherence score in LDA, the highest values were for 8 and 15 topics; the same number of topics were obtained with BERTopic. As a result, some of the topics discussed are related to narcotrafficking, traffic arms, racketeering, political corruption, emigration, and immigration problems.

Original language	English
Title of host publication	Emerging Trends in Information Systems and Technologies - WorldCIST 2025. Volume 1
Editors	Alvaro Rocha, Hojjat Adeli, Aneta Poniszewska-Maranda, Fernando Moreira, Isaias Bianchi
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	569-578
Number of pages	10
ISBN (Print)	9783031971181
DOIs	https://doi.org/10.1007/978-3-031-97119-8_43
State	Published - 2026
Event	13th World Conference on Information Systems and Technologies, WorldCIST 2025 - Florianopolis, Brazil Duration: Apr 15 2025 → Apr 17 2025

Publication series

Name	Lecture Notes in Networks and Systems
Volume	1514 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	13th World Conference on Information Systems and Technologies, WorldCIST 2025
Country/Territory	Brazil
City	Florianopolis
Period	04/15/25 → 04/17/25

Keywords

BERTopic
Citizen security
LDA
Topic modeling

Access to Document

10.1007/978-3-031-97119-8_43

Cite this

Jimenez, J., Reátegui, R., Chicaiza, J., Roa, H. N., & Pulla-Sánchez, D. (2026). Identifying Topics in Tweets Related to Citizen Security. In A. Rocha, H. Adeli, A. Poniszewska-Maranda, F. Moreira, & I. Bianchi (Eds.), Emerging Trends in Information Systems and Technologies - WorldCIST 2025. Volume 1 (pp. 569-578). (Lecture Notes in Networks and Systems; Vol. 1514 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-97119-8_43

Jimenez, Josselyn ; Reátegui, Ruth ; Chicaiza, Janneth et al. / Identifying Topics in Tweets Related to Citizen Security. Emerging Trends in Information Systems and Technologies - WorldCIST 2025. Volume 1. editor / Alvaro Rocha ; Hojjat Adeli ; Aneta Poniszewska-Maranda ; Fernando Moreira ; Isaias Bianchi. Springer Science and Business Media Deutschland GmbH, 2026. pp. 569-578 (Lecture Notes in Networks and Systems).

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title = "Identifying Topics in Tweets Related to Citizen Security",

abstract = "Crime and violence remain a significant challenge that impacts the economy and well-being. Citizens{\textquoteright} voices can be heard through social networks, especially when discussing security issues. Therefore, the objective of this research is to identify topics that are discussed in social network X concerning citizen security. Two algorithms were applied to identify the topic: LDA and BERTopic. Using the coherence score in LDA, the highest values were for 8 and 15 topics; the same number of topics were obtained with BERTopic. As a result, some of the topics discussed are related to narcotrafficking, traffic arms, racketeering, political corruption, emigration, and immigration problems.",

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Jimenez, J, Reátegui, R, Chicaiza, J, Roa, HN & Pulla-Sánchez, D 2026, Identifying Topics in Tweets Related to Citizen Security. in A Rocha, H Adeli, A Poniszewska-Maranda, F Moreira & I Bianchi (eds), Emerging Trends in Information Systems and Technologies - WorldCIST 2025. Volume 1. Lecture Notes in Networks and Systems, vol. 1514 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 569-578, 13th World Conference on Information Systems and Technologies, WorldCIST 2025, Florianopolis, Brazil, 04/15/25. https://doi.org/10.1007/978-3-031-97119-8_43

Identifying Topics in Tweets Related to Citizen Security. / Jimenez, Josselyn; Reátegui, Ruth; Chicaiza, Janneth et al.
Emerging Trends in Information Systems and Technologies - WorldCIST 2025. Volume 1. ed. / Alvaro Rocha; Hojjat Adeli; Aneta Poniszewska-Maranda; Fernando Moreira; Isaias Bianchi. Springer Science and Business Media Deutschland GmbH, 2026. p. 569-578 (Lecture Notes in Networks and Systems; Vol. 1514 LNNS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Jimenez, Josselyn

AU - Reátegui, Ruth

AU - Chicaiza, Janneth

AU - Roa, Henry N.

AU - Pulla-Sánchez, Daniel

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

PY - 2026

Y1 - 2026

N2 - Crime and violence remain a significant challenge that impacts the economy and well-being. Citizens’ voices can be heard through social networks, especially when discussing security issues. Therefore, the objective of this research is to identify topics that are discussed in social network X concerning citizen security. Two algorithms were applied to identify the topic: LDA and BERTopic. Using the coherence score in LDA, the highest values were for 8 and 15 topics; the same number of topics were obtained with BERTopic. As a result, some of the topics discussed are related to narcotrafficking, traffic arms, racketeering, political corruption, emigration, and immigration problems.

AB - Crime and violence remain a significant challenge that impacts the economy and well-being. Citizens’ voices can be heard through social networks, especially when discussing security issues. Therefore, the objective of this research is to identify topics that are discussed in social network X concerning citizen security. Two algorithms were applied to identify the topic: LDA and BERTopic. Using the coherence score in LDA, the highest values were for 8 and 15 topics; the same number of topics were obtained with BERTopic. As a result, some of the topics discussed are related to narcotrafficking, traffic arms, racketeering, political corruption, emigration, and immigration problems.

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SN - 9783031971181

T3 - Lecture Notes in Networks and Systems

SP - 569

EP - 578

BT - Emerging Trends in Information Systems and Technologies - WorldCIST 2025. Volume 1

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A2 - Moreira, Fernando

A2 - Bianchi, Isaias

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T2 - 13th World Conference on Information Systems and Technologies, WorldCIST 2025

Y2 - 15 April 2025 through 17 April 2025

ER -

Jimenez J, Reátegui R, Chicaiza J, Roa HN, Pulla-Sánchez D. Identifying Topics in Tweets Related to Citizen Security. In Rocha A, Adeli H, Poniszewska-Maranda A, Moreira F, Bianchi I, editors, Emerging Trends in Information Systems and Technologies - WorldCIST 2025. Volume 1. Springer Science and Business Media Deutschland GmbH. 2026. p. 569-578. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-97119-8_43