The aim of this work was focused on data collection and annotation for Aspect-Based Academic Review Analysis. The goal is to understand the sentiments expressed in course feedback regarding different aspects of a course. ...

In this study, we address the widespread issue of rumor propagation on social media. Current automated systems primarily rely on analyzing the stance made in tweets to predict the veracity of rumors. To enhance the ...

With an increasing amount of hate on online social media platforms, automatic detection of toxic language plays a protecting role for online users and content moderators. Hence, it be- comes important to ensure that these ...

Memes are highly prevalent in online social media content, making them a vital source for analysing their power in diffusing ideas online. Memes combine the appeal of visuals with compelling messages, which have the potential ...

The first study is based on classification of fake video detection. Filtering, vetting, and verifying digital information is an area of core interest in information science. Content present online in the format of news, ...

Despite the widespread adoption, there is a lack of research into how various critical aspects of LLMs affect their performance in hate speech detection. Through five research questions, our findings and recommendations ...

Counterspeech is regarded as an effective method to counter or negate hate speech online. Various vanilla and controlled counterspeech generation strategies have been investigated in recent years, but often a single ...