The New York Times

Spam and Scams Proliferate in Facebook’s Political Ads

A new analysis of political advertisers found that the platform profits from ads that include deepfakes and other content prohibited by its own policies. Recent Meta ads have included fabricated ...
GitHub

MusXIII/SMS_SPAM_DETECTION

This project implements a machine learning model to classify SMS messages as "spam" or "ham" (not spam) using Decision Trees and TF-IDF vectorization. CS_Project_II/ ├── dataset/ │ └── spam.csv # SMS ...
Frontiers

Machine-learning detection of stress severity expressed on a continuous scale using acoustic, verbal, visual, and physiological data: lessons learned

Background: Early detection of elevated acute stress is necessary if we aim to reduce consequences associated with prolonged or recurrent stress exposure. Stress monitoring may be supported by valid ...
IEEE

YouTube Spam Comment Detection using Transfer Learning and Machine Learning algorithms

Abstract: YouTube is the most popular social media platform enriched with different kinds of content. Spam comments on YouTube can lead to misinformation about content and users fall into scams. This ...
Frontiers

Advances in machine learning for the detection and characterization of microplastics in the environment

1 Department of Environmental Sciences, Jahangirnagar University, Dhaka, Bangladesh 2 Division of Translational Cancer Research, Department of Laboratory Medicine, Lund University, Lund, Sweden ...
GitHub

spam-detection-machine-learning

This project is a simple spam message classifier built using Python's Scikit-learn library. It uses a Multinomial Naive Bayes model combined with a Count Vectorizer to classify text messages as either ...
IEEE

Spam Detection Using Machine Learning

Abstract: A major worldwide problem brought on by the increasing number of internet users is email spam. By using malicious URLs that compromise corporate and personal computers, this annoyance is ...