A human-centered systematic literature review of the computational approaches for online sexual risk detection

A Razi, S Kim, A Alsoubai, G Stringhini… - Proceedings of the …, 2021 - dl.acm.org
In the era of big data and artificial intelligence, online risk detection has become a popular
research topic. From detecting online harassment to the sexual predation of youth, the state …

Exploring issues surrounding a safe and conducive digital learning space in Nepal: A preparation for online education in the post-pandemic era

B Lamsal - Socioeconomic inclusion during an era of online …, 2022 - igi-global.com
A conducive and safe digital learning space has become a prominent concern in the present
pandemic situation since most teachers and students are engaged in the online mode of …

[HTML][HTML] Using deep learning to detect social media 'trolls'

Á MacDermott, M Motylinski, F Iqbal, K Stamp… - Forensic Science …, 2022 - Elsevier
Detecting criminal activity online is not a new concept but how it can occur is changing.
Technology and the influx of social media applications and platforms has a vital part to play …

Uncovering cybercrimes in social media through natural language processing

J Ramírez Sánchez, A Campo-Archbold… - …, 2021 - Wiley Online Library
Among the myriad of applications of natural language processing (NLP), assisting law
enforcement agencies (LEA) in detecting and preventing cybercrimes is one of the most …

A model of policing strategy choice: The integration of the Latent Dirichlet Allocation (LDA) method with ELECTRE I

MP Basilio, GS Brum, V Pereira - Journal of Modelling in Management, 2020 - emerald.com
Purpose The purpose of this paper is to develop a method for the discovery of knowledge in
emergency response databases based on police incident reports, generating information …

Predicting cyber offenders and victims and their offense and damage time from routine chat times and online social network activities

K Yokotani, M Takano - Computers in Human Behavior, 2022 - Elsevier
Predicting offenders and victims and the timing of their offenses and damages has become a
perennial challenge in global cyberspace. This study aimed to solve this challenge through …

Empirical and Experimental Insights into Data Mining Techniques for Crime Prediction: A Comprehensive Survey

K Taha - ACM Transactions on Intelligent Systems and …, 2024 - dl.acm.org
This survey paper presents a comprehensive analysis of crime prediction methodologies,
exploring the various techniques and technologies utilized in this area. The paper covers the …

CBR‐Based Decision Support Methodology for Cybercrime Investigation: Focused on the Data‐Driven Website Defacement Analysis

ML Han, BI Kwak, HK Kim - Security and Communication …, 2019 - Wiley Online Library
Criminal profiling is a useful technique to identify the most plausible suspects based on the
evidence discovered at the crime scene. Similar to offline criminal profiling, in‐depth …

Cybercrime's tendencies of the teenagers in the COVID-19 era: assessing the influence of mobile games, social networks and religious attitudes

Y Li, J Li, Q Fan, Z Wang - Kybernetes, 2022 - emerald.com
Purpose The teenager community is the most affected community by cybercrime in the
COVID-19 era. Increasing social networks and facilitating teenager access to the Internet …

Integrated content-network analysis to discover influential collectives for studying social cyber-threats from online social movements

F Amro, H Purohit - Social Network Analysis and Mining, 2023 - Springer
Recent online social movements with offline violence events have been linked to activities of
threat actors that exploit online social networks to instigate violence, among other ills. In …