[HTML][HTML] A social network of crime: A review of the use of social networks for crime and the detection of crime
Social media is used to commit and detect crimes. With automated methods, it is possible to
scale both crime and detection of crime to a large number of people. The ability of criminals …
scale both crime and detection of crime to a large number of people. The ability of criminals …
Controlling astroturfing on the internet: a survey on detection techniques and research challenges
Astroturfing is one of the most impactful threats on today's internet. It is the process of
masking and portraying a doctored message to the general population in a way as though it …
masking and portraying a doctored message to the general population in a way as though it …
[HTML][HTML] An investigation of crowdsourcing methods in enhancing the machine learning approach for detecting online recruitment fraud
K Nanath, L Olney - International Journal of Information Management Data …, 2023 - Elsevier
Misinformation on the web has become a problem of significant impact in an information-
driven society. Persistent and large volumes of fake content are being injected, and hence …
driven society. Persistent and large volumes of fake content are being injected, and hence …
Detection of harassment type of cyberbullying: A dictionary of approach words and its impact
The purpose of this paper is to analyse the effects of predatory approach words in the
detection of cyberbullying and to propose a mechanism of generating a dictionary of such …
detection of cyberbullying and to propose a mechanism of generating a dictionary of such …
A machine learning approach to detecting fraudulent job types
M Naudé, KJ Adebayo, R Nanda - AI & SOCIETY, 2023 - Springer
Job seekers find themselves increasingly duped and misled by fraudulent job
advertisements, posing a threat to their privacy, security and well-being. There is a clear …
advertisements, posing a threat to their privacy, security and well-being. There is a clear …
Online recruitment fraud detection: A study on contextual features in australian job industries
The purpose of this study is to investigate the effects of contextual features on automatic
detection accuracy of online recruitment frauds in Australian job market. In addition, the …
detection accuracy of online recruitment frauds in Australian job market. In addition, the …
Detecting online recruitment fraud using machine learning
H Tabassum, G Ghosh, A Atika… - 2021 9th international …, 2021 - ieeexplore.ieee.org
Online Recruitment fraud (ORF) is becoming an important issue in the cyber-crime region.
Companies find it easier to hire people with the help of the internet rather than the old …
Companies find it easier to hire people with the help of the internet rather than the old …
A smart secured framework for detecting and averting online recruitment fraud using ensemble machine learning techniques
Z Ullah, M Jamjoom - PeerJ Computer Science, 2023 - peerj.com
With the rise of the Internet and social media, information has become available at our
fingertips. However, on the dark side, these advancements have opened doors for …
fingertips. However, on the dark side, these advancements have opened doors for …
Identifying fake job posting using selective features and resampling techniques
H Afzal, F Rustam, W Aljedaani, MA Siddique… - Multimedia Tools and …, 2024 - Springer
The fake job posting has emerged as an alarming cyber-crime during the last few years
which affects both job seekers and companies alike. Fraudulent companies and individuals …
which affects both job seekers and companies alike. Fraudulent companies and individuals …
Detecting scam in online job vacancy using behavioral features extraction
O Nindyati, IGBB Nugraha - … on ICT for smart society (ICISS), 2019 - ieeexplore.ieee.org
To design a qualified training program so that the competence of job seekers can be in line
with the industrial needs, Training Need Analysis (TNA) should be conducted before …
with the industrial needs, Training Need Analysis (TNA) should be conducted before …