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Online extremism detection: A systematic literature review with emphasis on datasets, classification techniques, validation methods, and tools
Social media platforms are popular for expressing personal views, emotions and beliefs.
Social media platforms are influential for propagating extremist ideologies for group …
Social media platforms are influential for propagating extremist ideologies for group …
[HTML][HTML] A survey exploring open source Intelligence for smarter password cracking
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 …
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
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 …
evaluation that aggregate scientific literature output and measure impact by collating citation …
TWEETSPIN: Fine-grained propaganda detection in social media using multi-view representations
Recently, several studies on propaganda detection have involved document and fragment-
level analyses of news articles. However, there are significant data and modeling …
level analyses of news articles. However, there are significant data and modeling …
Multi-ideology multi-class extremism classification using deep learning techniques
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 …
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
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 …
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 …
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
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 …
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 …
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
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 …
activities. Usually, to polarize new members, these organizations attempt to share their …