There is an increased demand for detecting online hate speech, especially with the recent
changing policies of hate content and free-of-speech right of online social media platforms …

Social media platforms empower us in several ways, from information dissemination to
consumption. While these platforms are useful in promoting citizen journalism, public …

In the trend of the accelerated progression of communication network technology, the
emergence of virtual communities (VCs), virtual societies (VSs), metaverse, and other …

Speech emotion recognition (SER) is a challenging task in human–computer interaction
(HCI) systems. One of the key challenges in speech emotion recognition is to extract the …

The growing prevalence and rapid evolution of offensive language in social media amplify
the complexities of detection, particularly highlighting the challenges in identifying such …

This article provides an overview of a shared task to identify contextual hate speech in social
media conversations. This task intends to analyze how context within a conversation in …

Social media platforms like Facebook, YouTube, and Twitter are banking on developing
machine learning models to help stop the spread of hateful speech on their platforms. The …

This study examines the characteristics and behaviours of accounts that propagate hate
speech through their responses to articles posted on five leading digital news media in …

This study investigates the impact of online disinformation and hate speech on a country's
image, considering its implications for the destination's image and tourism prospects …

Reports related to community safety crisis incidents are being escalated and shared on
social media and other online digital platforms. These reports must be addressed quickly to …