Monkeypox2022tweets: a large-scale twitter dataset on the 2022 monkeypox outbreak, findings from analysis of tweets, and open research questions

N Thakur - Infectious Disease Reports, 2022 - mdpi.com
The mining of Tweets to develop datasets on recent issues, global challenges, pandemics,
virus outbreaks, emerging technologies, and trending matters has been of significant interest …

Review of stance detection for rumor verification in social media

HF Alsaif, HD Aldossari - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Social media is a perfect breeding ground for false rumors due to the simplicity of sharing
information, which may have negative implications in a variety of domains, including …

[HTML][HTML] Online grooming detection: A comprehensive survey of child exploitation in chat logs

PR Borj, K Raja, P Bours - Knowledge-Based Systems, 2023 - Elsevier
Social media platforms present significant threats against underage users targeted for
predatory intents. Many early research works have applied the footprints left by online …

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 …

Mpox Narrative on Instagram: A Labeled Multilingual Dataset of Instagram Posts on Mpox for Sentiment, Hate Speech, and Anxiety Analysis

N Thakur - arXiv preprint arXiv:2409.05292, 2024 - arxiv.org
The world is currently experiencing an outbreak of mpox, which has been declared a Public
Health Emergency of International Concern by WHO. No prior work related to social media …

Examining the Ideological Foundations, Psychological Influences, and Media Representation of Extremism and Its Social Impact

R Skiba - Advances in Applied Sociology, 2024 - papers.ssrn.com
This article examines contemporary research and views related to a currently observed rise
in extremist views and social actions. The analysis delves into the multifaceted nature of …

Decoding Ideology: Machine Learning-Based Detection of Extremist Content

S Mussiraliyeva, K Baisylbayeva… - 2024 International …, 2024 - ieeexplore.ieee.org
This paper explores the use of machine learning techniques to classify texts with regard to
extremist ideology, such as radicalization, propaganda, and recruitment. The relevance of …

Comparison of Turkish and English-Speaking ISIS Sympathizers' Twitter Content between 2015 and 2016

AY Tulga - Innovation in the Social Sciences, 2023 - brill.com
The development of social media technologies has had a significant impact on individuals,
organizations and societies. However, social media has not only affected people and …

Socio-Religious-Based Critical Digital Media Literacy for Disengagement from Radicalism for Ex-Terrorist Convicts

F Mala, F Rahman… - Edukasi Islami …, 2023 - jurnal.staialhidayahbogor.ac.id
This article aims to analyze the influence of the Internet on the involvement of former terrorist
prisoners, as well as formulate a Socio-Religious-based Digital Media Literacy model that …

From Mountains to Social Media Valleys: A Thematic Analysis of Information Warfare through Telegram Data in the Nagorno-Karabakh War

M Rostomyan - The Journal of Intelligence, Conflict, and Warfare, 2023 - journals.lib.sfu.ca
The emergence of information warfare (IW) has brought about a revolution in the realm of
military affairs. Existing research has already demonstrated how successfully weaponized …