Data collection and analysis is nothing new in computer-assisted language learning, but
with the phenomenon of massive sets of human language collected into corpora, and …

Gang literature increasingly reflects the importance of social media in gang lifestyle, as gang
members adopt new communicative practices. Yet, because of the multifaceted nature of …

Machine-learned computer vision algorithms for tagging images are increasingly used by
developers and researchers, having become popularized as easy-to-use" cognitive …

Numerous machine learning (ML) and deep learning (DL)-based approaches have been
proposed to utilize textual data from social media for anti-social behavior analysis like …

This work addresses the challenge of hate speech detection in Internet memes, and
attempts using visual information to automatically detect hate speech, unlike any previous …

Due to the prevalence of social media sites, users are allowed to conveniently share their
ideas and activities anytime and anywhere. Therefore, these sites hold substantial real …

Detecting fights from still images shared on social media is an important task required to limit
the distribution of violent scenes in order to prevent their negative effects. For this reason, in …

Forms of human communication are not static---we expect some evolution in the way
information is conveyed over time because of advances in technology. One example of this …

Recent years have witnessed the increasing popularity of mobile and networking devices,
as well as social networking sites, where users engage in a variety of activities in the …

Hate speech detection is an important research area owing to the severe effects of hate
speech on the society. Hence automated hate speech detection based on textual data …