Online social networks security and privacy: comprehensive review and analysis

AK Jain, SR Sahoo, J Kaubiyal - Complex & Intelligent Systems, 2021 - Springer
With fast-growing technology, online social networks (OSNs) have exploded in popularity
over the past few years. The pivotal reason behind this phenomenon happens to be the …

Machine learning algorithms for social media analysis: A survey

TK Balaji, CSR Annavarapu, A Bablani - Computer Science Review, 2021 - Elsevier
Social Media (SM) are the most widespread and rapid data generation applications on the
Internet increase the study of these data. However, the efficient processing of such massive …

Cyberbullying detection solutions based on deep learning architectures

C Iwendi, G Srivastava, S Khan, PKR Maddikunta - Multimedia Systems, 2023 - Springer
Cyberbullying is disturbing and troubling online misconduct. It appears in various forms and
is usually in a textual format in most social networks. Intelligent systems are necessary for …

Predicting cyberbullying on social media in the big data era using machine learning algorithms: review of literature and open challenges

MA Al-Garadi, MR Hussain, N Khan, G Murtaza… - IEEE …, 2019 - ieeexplore.ieee.org
Prior to the innovation of information communication technologies (ICT), social interactions
evolved within small cultural boundaries such as geo spatial locations. The recent …

[HTML][HTML] Cyberbullying detection on twitter using deep learning-based attention mechanisms and continuous Bag of words feature extraction

SM Fati, A Muneer, A Alwadain, AO Balogun - Mathematics, 2023 - mdpi.com
Since social media platforms are widely used and popular, they have given us more
opportunities than we can even imagine. Despite all of the known benefits, some users may …

” You have to prove the threat is real”: Understanding the needs of Female Journalists and Activists to Document and Report Online Harassment

N Goyal, L Park, L Vasserman - … of the 2022 CHI conference on human …, 2022 - dl.acm.org
Online harassment is a major societal challenge that impacts multiple communities. Some
members of community, like female journalists and activists, bear significantly higher …

Email-based cyberstalking detection on textual data using multi-model soft voting technique of machine learning approach

AK Gautam, A Bansal - Journal of Computer Information Systems, 2023 - Taylor & Francis
In the virtual world, many internet applications are used by a mass of people for several
purposes. Internet applications are the basic needs of people in the modern days of lifestyle …

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 …

Proactive threat detection for connected cars using recursive Bayesian estimation

H Al-Khateeb, G Epiphaniou, A Reviczky… - IEEE Sensors …, 2017 - ieeexplore.ieee.org
Upcoming disruptive technologies around autonomous driving of connected cars have not
yet been matched with appropriate security by design principles and lack approaches to …

Multilingual transformer-based personality traits estimation

S Leonardi, D Monti, G Rizzo, M Morisio - Information, 2020 - mdpi.com
Intelligent agents have the potential to understand personality traits of human beings
because of their every day interaction with us. The assessment of our psychological traits is …