Detecting and monitoring hate speech in Twitter

JC Pereira-Kohatsu, L Quijano-Sánchez, F Liberatore… - Sensors, 2019 - mdpi.com
Social Media are sensors in the real world that can be used to measure the pulse of
societies. However, the massive and unfiltered feed of messages posted in social media is a …

The politics of deceptive borders:'biomarkers of deceit'and the case of iBorderCtrl

J Sánchez-Monedero, L Dencik - Information, Communication & …, 2022 - Taylor & Francis
This paper critically examines a recently developed proposal for a border control system
called iBorderCtrl, designed to detect deception based on facial recognition technology and …

Deep learning-based chatbot by natural language processing for supportive risk management in river dredging projects

JS Chou, PL Chong, CY Liu - Engineering Applications of Artificial …, 2024 - Elsevier
Dredging projects play a vital role in water conservation, especially for flood control, but they
often encounter natural and human-induced risks. This study addresses these challenges by …

[BOOK][B] Predictive policing and artificial intelligence

JLM McDaniel, K Pease - 2021 - api.taylorfrancis.com
The policing landscape is changing. Systems and technologies labelled as 'predictive'and
'artificial intelligence'(AI) are growing in prominence and at an unprecedented rate. Powerful …

GNER: A generative model for geological named entity recognition without labeled data using deep learning

Q Qiu, Z **e, L Wu, L Tao - Earth and Space science, 2019 - Wiley Online Library
A variety of detailed data about geological topics and geoscience knowledge are buried in
the geoscience literature and rarely used. Named entity recognition (NER) provides both …

Problems with police reports as data sources: a researchers' perspective

CD Güss, MT Tuason, A Devine - Frontiers in psychology, 2020 - frontiersin.org
Police officers are at the forefront of dealing with crimes. As one part of their work they are
required to write reports, such as crime case reports, traffic collision reports, driving under …

Using machine learning to assess rape reports: Sentiment analysis detection of officers'“signaling” about victims' credibility

RE Lovell, J Klingenstein, J Du, L Overman… - Journal of Criminal …, 2023 - Elsevier
Purpose The first of two articles from a larger study whose aim was to teach a computer to
detect innuendo (or signaling) about a victim's credibility in incident reports of rape. This …

Public Functions Implementation by Artificial Intelligence: Current Practices and Prospects for Common Measures within Particular Periods across Continents and …

A Atabekov - Societies, 2023 - mdpi.com
The paper explores practices regarding the implementation by AI of public functions through
the analysis of research activities, and administrative and legal regulations of AI in countries …

[HTML][HTML] How humans impair automated deception detection performance

B Kleinberg, B Verschuere - Acta psychologica, 2021 - Elsevier
Background Deception detection is a prevalent problem for security practitioners. With a
need for more large-scale approaches, automated methods using machine learning have …

Building a second-opinion tool for classical polygraph

D Asonov, M Krylov, V Omelyusik, A Ryabikina… - Scientific Reports, 2023 - nature.com
Classical polygraph screenings are routinely used by critical businesses such as banking,
law enforcement agencies, and federal governments. A major concern of scientific …