Crowdsourcing geographic information for terrorism-related disaster awareness and mitigation: perspectives and challenges
This systematic review explores the utilization of crowdsourcing for geoinformation in
enhancing awareness and mitigating terrorism-related disasters. Out of 519 studies …
enhancing awareness and mitigating terrorism-related disasters. Out of 519 studies …
Detection of violence incitation expressions in Urdu tweets using convolutional neural network
The popularity and widespread use of social media are constantly generating unmonitored
data, spreading unwanted content such as hate speech and expressions that incite violence …
data, spreading unwanted content such as hate speech and expressions that incite violence …
Bibliometric analysis of international publication trends on social media and terrorism by using the Scopus database
Social Media and Terrorism are often studied together and have become the focus of many
authors in recent years. Therefore, this study aims to evaluate international publication …
authors in recent years. Therefore, this study aims to evaluate international publication …
A Comprehensive Survey of Detection and Prevention Approaches for Online Radicalization: Identifying Gaps and Future Directions
In the digital era, online radicalization has emerged as a significant concern for
governments, social media platforms, and researchers. Detecting and preventing online …
governments, social media platforms, and researchers. Detecting and preventing online …
Anatomy of hate speech datasets: Composition analysis and cross-dataset classification
Manifestations of hate speech in different scenarios are increasingly frequent on social
platforms. In this context, there is a large number of works that propose solutions for …
platforms. In this context, there is a large number of works that propose solutions for …
Social media mining to detect online violent extremism using machine learning techniques
S Mussiraliyeva, K Bagitova… - International Journal of …, 2023 - search.proquest.com
In this paper, we explore the challenging domain of detecting online extremism in user-
generated content on social media platforms, leveraging the power of Machine Learning …
generated content on social media platforms, leveraging the power of Machine Learning …
RICo: Reddit ideological communities
The main objective of our research is to gain a comprehensive understanding of the
relationship between language usage within different communities and delineating the …
relationship between language usage within different communities and delineating the …
[HTML][HTML] Ideological orientation and extremism detection in online social networking sites: A systematic review
The rise of social networking sites has reshaped digital interactions, becoming fertile
grounds for extremist ideologies, notably in the United States. Despite previous research …
grounds for extremist ideologies, notably in the United States. Despite previous research …
Negative social tipping dynamics resulting from and reinforcing Earth system destabilization
In recent years, research on normatively positive social tipping dynamics in response to the
climate crisis has produced invaluable insights. In contrast, relatively little attention has been …
climate crisis has produced invaluable insights. In contrast, relatively little attention has been …
Enhancing Hate Speech Detection in the Digital Age: A Novel Model Fusion Approach Leveraging a Comprehensive Dataset
In the era of digital communication, social media platforms have experienced exponential
growth, becoming primary channels for information exchange. However, this surge has also …
growth, becoming primary channels for information exchange. However, this surge has also …