Stance detection on social media is an emerging opinion mining paradigm for various social
and political applications in which sentiment analysis may be sub-optimal. There has been a …

Stance detection identifies a person's evaluation of a subject, and is a crucial component for
many downstream applications. In application, stance detection requires training a machine …

There is a rising concern with social bots that imitate humans and manipulate opinions on
social media. Current studies on assessing the overall effect of bots on social media users …

Large-scale coordinated efforts have been dedicated to understanding the global health and
economic implications of the COVID-19 pandemic. Yet, the rapid spread of discrimination …

Internet memes have emerged as an increasingly popular means of communication on the
Web. Although typically intended to elicit humour, they have been increasingly used to …

Given the rapidly evolving nature of social media and people's views, word usage changes
over time. Consequently, the performance of a classifier trained on old textual data can drop …

The war in Ukraine seems to have positively changed the attitude toward the critical societal
topic of migration in Europe–at least towards refugees from Ukraine. We investigate whether …

Understanding public opinion towards immigrants is key to prevent acts of violence,
discrimination and abuse. Traditional data sources, such as surveys, provide rich insights …

Misleading information spread on social networks is often supported by activists who
promote this type of information and bots that amplify their visibility. The need for useful and …

This paper explores the misogynistic abuse against female Chilean politicians who openly
supported a pro-choice bill that allowed the access to abortion in limited circumstances. We …