[HTML][HTML] A survey exploring open source Intelligence for smarter password cracking

A Kanta, I Coisel, M Scanlon - Forensic Science International: Digital …, 2020 - Elsevier
From the end of the last century to date, consumers are increasingly living their lives online.
In today's world, the average person spends a significant proportion of their time connecting …

scite: A smart citation index that displays the context of citations and classifies their intent using deep learning

JM Nicholson, M Mordaunt, P Lopez… - Quantitative science …, 2021 - direct.mit.edu
Citation indices are tools used by the academic community for research and research
evaluation that aggregate scientific literature output and measure impact by collating citation …

TWEETSPIN: Fine-grained propaganda detection in social media using multi-view representations

P Vijayaraghavan, S Vosoughi - … of the 2022 Conference of the …, 2022 - aclanthology.org
Recently, several studies on propaganda detection have involved document and fragment-
level analyses of news articles. However, there are significant data and modeling …

Multi-ideology multi-class extremism classification using deep learning techniques

M Gaikwad, S Ahirrao, K Kotecha, A Abraham - IEEE Access, 2022 - ieeexplore.ieee.org
Social media is an integral part of today's social communication. Social media platforms
have a global reach with immense popularity among the young generation. This reach and …

A RoBERTa based model for identifying the multi-modal informative tweets during disaster

S Madichetty, S Madisetty - Multimedia Tools and Applications, 2023 - Springer
Detecting informative tweets is very important to the government or non-government
organizations during a disaster. Most of the literature works focused on either text or image …

[HTML][HTML] Empowering propaganda detection in resource-restraint languages: a transformer-based framework for classifying hindi news articles

D Chaudhari, AV Pawar - Big Data and Cognitive Computing, 2023 - mdpi.com
Misinformation, fake news, and various propaganda techniques are increasingly used in
digital media. It becomes challenging to uncover propaganda as it works with the systematic …

[HTML][HTML] Change point detection in terrorism-related online content using deep learning derived indicators

O Theodosiadou, K Pantelidou, N Bastas, D Chatzakou… - Information, 2021 - mdpi.com
Given the increasing occurrence of deviant activities in online platforms, it is of paramount
importance to develop methods and tools that allow in-depth analysis and understanding to …

Multi-contextual learning in disinformation research: a review of challenges, approaches, and opportunities

B Das - Online Social Networks and Media, 2023 - Elsevier
Though a fair amount of research is being done to address disinformation in online social
media, it has so far managed to stay ahead of the researchers' learning curves forcing the …

A survey of extremism online content analysis and prediction techniques in twitter based on sentiment analysis

Z Trabelsi, F Saidi, E Thangaraj, T Veni - Security Journal, 2023 - Springer
Nowadays, extremist organizations use social networks, such as Twitter, to flourish their dark
activities. Usually, to polarize new members, these organizations attempt to share their …