Results 71 to 80 of about 2,863,518 (175)

Is Social Media a Democratic Forum for Public Accountability in Times of Crisis? The Brazilian Government's Response to the COVID‐19 Pandemic

Abacus, Volume 61, Issue 1, Page 194-217, March 2025.
The COVID‐19 crisis has troubled the world. In the Brazilian context, many people struggled financially to survive a period of social isolation. Therefore, in the surge of the pandemic, making a decision or forming an opinion about government decisions was very complex.
Tassiani Aparecida Dos Santos, Iago França Lopes   +1 more
wiley   +1 more source

Explainable AI for SMS spam filtering: A novel hybrid architecture combining fuzzy logic and bidirectional LSTM networks

Franklin Open
SMS spam filtering has become a critical application in modern telecommunications, where unsolicited and fraudulent text messages compromise user security, erode trust, and burden network resources.
Ali kadhim Jasim, Fuqdan Abdul Fadil Al-ibeahimi, Hussein Alaa Alkaabi   +2 more
doaj   +1 more source

SMS spam detection using BERT and multi-graph convolutional networks

International Journal of Intelligent Networks
The surge in smartphone usage has significantly increased Short Message Service (SMS) traffic and, consequently, SMS spam, posing risks such as phishing, financial losses, and privacy breaches.
Linjie Shen, Yanbin Wang, Zhao Li, Wenrui Ma   +3 more
doaj   +1 more source

An intelligent SPAM filter - GetEmail5 [PDF]

, 2006
As the increasing reliance on electronic mail (email) continues, unsolicited bulk email (SPAM) also continues to grow because it is a very cheap way for advertising. These unwanted emails are now causing a serious problem in clogging the Internet traffic
P. Cole, Fung, C.C., Hassan, T., Cole, P., Chun Che Fung, T. Hassan   +5 more
core   +1 more source

Machine Learning Based Spam Detection in Digital Communication Systems: A Comparative Analysis

Systems
Spam messages are unwanted, irrelevant, or potentially harmful messages sent in bulk to large numbers of recipients via email, SMS, or social media. These messages pose a threat of spam to individual users and commercial companies.
Maram Bani Younes, Ahmad Ababneh
doaj   +1 more source

Analysis of SMS Spam Detection using Tf-Idf: A Study On SMS Spam Collection Dataset

Jurnal Sosial Teknologi
This study explores the detection of SMS spam utilizing TF-IDF analysis on a dataset containing a collection of text messages labeled as spam or ham (non-spam). The dataset comprises messages suitable for spam detection analysis using TF-IDF techniques.
openaire   +1 more source

88th Annual Meeting of the Meteoritical Society 2026: Abstracts

Meteoritics &Planetary Science, Volume 61, Issue S1, Page S48-S551, August 2026.
wiley   +1 more source

Leveraging Large Language Model on Spam Email Detection and Classification

Applied Computational Intelligence and Soft Computing
Spam emails are still an immense cybersecurity problem since they frequently result in financial theft, data breaches, and a general drop in user confidence within online interaction mediums.
Charles Okechukwu Ugwunna, Ibidun Christiana Obagbuwa, Mayowa Samuel Obadina, Ifeanyi Godspower Akawuku, Kingsley Chiwuike Ukaoha   +4 more
doaj   +1 more source

Uncovering SMS Spam in Swahili Text Using Deep Learning Approaches

IEEE Access
In today’s communications, Short Message Service (SMS) and Internet protocol-based messaging systems are the most widely used channels. These services are currently the target of an unprecedented number of threats due to their rising appeal.
Iddi S. Mambina, Jema D. Ndibwile, Deo Uwimpuhwe, Kisangiri F. Michael   +3 more
doaj   +1 more source

Machine learning-based smishing detection using fuzzy logic and TF-IDF feature engineering

Franklin Open
Mobile communication security is increasingly threatened by smishing messages, necessitating advanced detection techniques to protect users from fraudulent and malicious content.
Santosh Kumar Birthriya, Priyanka Ahlawat, Ankit Kumar Jain   +2 more
doaj   +1 more source