Background The quest for higher software quality remains a paramount concern in software
testing, prompting a shift towards leveraging machine learning techniques for enhanced …

Big data involves processing vast amounts of data using advanced techniques. Its potential
is harnessed for predictive analytics, a sophisticated branch that anticipates unknown future …

Social networks are widely used platforms for sharing various information and content,
including text, images, and videos. The main challenge in social networking today is the …

Online learning from the data streams is a research hotspot due to adaptive responses to
real-time data arrival and fleeting. Existing approaches can only handle real-world scenarios …

The emergence of social media platforms like Twitter has significantly changed the
landscape of communication by increasing accessibility for widely disseminating official …

Twitter's widespread popularity has made it a prime target for malicious actors exploiting
trending hashtags to disseminate harmful content. This study marks the first systematic …

The problem of detecting spam reviews (opinions) has received significant attention in
recent years, especially with the rapid development of e-commerce. Spam reviews are often …

There is a growing number of scams through various communication mediums, including
social media, phone calls and messages, search engine advertising, etc. Often these scams …

Cybersecurity threats, particularly spam SMS, are increasingly sophisticated, demanding
more advanced detection systems. Traditional spam detection methods fall short due to their …

This research delves into the complexities of social media's role as a platform for
communication, examining how it facilitates the spread of radical ideologies while …