Disrupted Trajectories: COVID‐19, Transnational Youth Mobility and Unequal Transitions to Adulthood
International Migration, Volume 64, Issue 5, September 2026.ABSTRACT While the impact of COVID‐19 on youth development has been widely studied, less is known about its effects on transnationally mobile young adults. This longitudinal study of Australian outbound and inbound mobility examines how the pandemic disrupted this population's experiences abroad as they navigated transitions to adulthood.
Simon Chambers +2 more
wiley +1 more source
Spam - solutions and their problems [PDF]
We analyze the success of filtering as a solution to the spam problem when used alone or concurrently with sender and/or receiver pricing. We find that filters alone may exacerbate the spam problem if the spammer attempts to evade them by sending ...
Curtis B. Eaton +2 more
core
Spam Detection in Social Networks based on Peer Acceptance
, 2020 Online Social Networks (OSNs) have become immensely popular for spammers spreading malicious content and links. Using the nature of OSNs, spammers frequently change their behavior to avoid detection.
Ernest Foo +5 more
core +1 more source
Application of interval type-2 fuzzy logic and type-1 fuzzy logic-based approaches to social networks for spam detection with combined feature capabilities. [PDF]
PeerJ Comput Sci, 2023 Atacak İ, Çıtlak O, Doğru İA.
europepmc +1 more source
Modal verbs in South Asian online Englishes: must, (have) got to, have to and need to
World Englishes, Volume 45, Issue 3, Page 574-594, September 2026.Abstract This research article presents an analysis of four (semi‐)modals of necessity/obligation (must, (have) got to, have to and need to) in four CMC registers (comments, tweets, web forums and websites) originating from four South Asian countries (Bangladesh, India, Pakistan and Sri Lanka) along with the United Kingdom and United States.
Muhammad Shakir
wiley +1 more source
Efficient E-Mail Spam Detection Strategy Using Genetic Decision Tree Processing with NLP Features. [PDF]
Comput Intell Neurosci, 2022 Ismail SSI +3 more
europepmc +1 more source
Analysis of Do-Not-Spam Registry [PDF]
We study how the launching of a do-not-spam registry will affect the internet’s efficiency. We show that as long as the cost of sending spam messages is not high, having rich users (who have high-quality filters) join the registry has the desirable ...
Eilon Solan, Eran Reshef
core
Dynamic RBFN with vector attention-guided feature selection for spam detection in social media
Complex & Intelligent SystemsOnline social media platforms have emerged as primary engagement channels for internet users, leading to increased dependency on social network information.
E Elakkiya +2 more
doaj +1 more source
Improving spam detection using fingerprinting at packet level
, 2010 Spam has grown as fast as the Internet growth and has evolved from mere annoying to a multi-billion dollar problem. Spam generates enormous amount of email traffic that is time consuming to handle and has caused the average Internet users the loss of ...
Mahid, Zaitul Iradah
core
A Fusion-Based Approach with Bayes and DeBERTa for Efficient and Robust Spam Detection
AlgorithmsSpam emails pose ongoing risks to digital security, including data breaches, privacy violations, and financial losses. Addressing the limitations of traditional detection systems in terms of accuracy, adaptability, and resilience remains a significant ...
Ao Zhang, Kelei Li, Haihua Wang
doaj +1 more source