A survey on extremism analysis using natural language processing: definitions, literature review, trends and challenges

J Torregrosa, G Bello-Orgaz… - Journal of Ambient …, 2023 - Springer
Extremism has grown as a global problem for society in recent years, especially after the
apparition of movements such as jihadism. This and other extremist groups have taken …

Detecting and monitoring hate speech in Twitter

JC Pereira-Kohatsu, L Quijano-Sánchez, F Liberatore… - Sensors, 2019 - mdpi.com
Social Media are sensors in the real world that can be used to measure the pulse of
societies. However, the massive and unfiltered feed of messages posted in social media is a …

[LIBRO][B] Youth and violent extremism on social media: map** the research

S Alava, D Frau-Meigs, G Hassan - 2017 - books.google.com
The Internet offers significant possibilities for supporting the fulfillment of the 2030
Sustainable Development Agenda and advancing all human rights, including access to …

Detection of violence incitation expressions in Urdu tweets using convolutional neural network

MS Khan, MSI Malik, A Nadeem - Expert Systems with Applications, 2024 - Elsevier
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 …

Evaluating platform accountability: Terrorist content on YouTube

D Murthy - American behavioral scientist, 2021 - journals.sagepub.com
YouTube has traditionally been singled out as particularly influential in the spreading of ISIS
content. However, the platform along with Facebook, Twitter, and Microsoft jointly created …

Modeling islamist extremist communications on social media using contextual dimensions: religion, ideology, and hate

U Kursuncu, M Gaur, C Castillo, A Alambo… - Proceedings of the …, 2019 - dl.acm.org
Terror attacks have been linked in part to online extremist content. Online conversations are
cloaked in religious ambiguity, with deceptive intentions, often twisted from mainstream …

Detection of violent extremists in social media

H Alvari, S Sarkar, P Shakarian - 2019 2nd international …, 2019 - ieeexplore.ieee.org
The ease of use of the Internet has enabled violent extremists such as the Islamic State of
Iraq and Syria (ISIS) to easily reach large audience, build personal relationships and …

Machine learning methods for detecting and monitoring extremist information on the internet

IV Mashechkin, MI Petrovskiy, DV Tsarev… - … and Computer Software, 2019 - Springer
In this paper, we employ machine learning methods to solve the problem of countering
terrorism and extremism by using information from the Internet. This problem involves …

Forecasting cyberattacks with incomplete, imbalanced, and insignificant data

A Okutan, G Werner, SJ Yang, K McConky - Cybersecurity, 2018 - Springer
Having the ability to forecast cyberattacks before they happen will unquestionably change
the landscape of cyber warfare and cyber crime. This work predicts specific types of attacks …

Hawkes process for understanding the influence of pathogenic social media accounts

H Alvari, P Shakarian - … on Data Intelligence and Security (ICDIS …, 2019 - ieeexplore.ieee.org
Over the past years, political events and public opinion on the Web have been allegedly
manipulated by accounts dedicated to spreading disinformation and performing malicious …