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 …

Social network based applications have experienced exponential growth in recent years.
One of the reasons for this rise is that this application domain offers a particularly fertile …

This paper describes the fifth year of the Sentiment Analysis in Twitter task. SemEval-2017
Task 4 continues with a rerun of the subtasks of SemEval-2016 Task 4, which include …

This paper discusses the fourth year of the``Sentiment Analysis in Twitter Task''. SemEval-
2016 Task 4 comprises five subtasks, three of which represent a significant departure from …

Social media are often accused of worsening the quality of online debate. In this paper, we
focus on group polarization in the context of social media-enabled interaction, a …

We present a highly effective unsupervised framework for detecting the stance of prolific
Twitter users with respect to controversial topics. In particular, we use dimensionality …

Echo chambers in online social networks, in which users prefer to interact only with
ideologically-aligned peers, are believed to facilitate misinformation spreading and …

Since the shooting of Black teenager Michael Brown by White police officer Darren Wilson in
Ferguson, Missouri, the protest hashtag# BlackLivesMatter has amplified critiques of …

Abstract From the Arab Spring to the Occupy Movement, social media has been instrumental
in driving and supporting socio-political movements throughout the world. In this paper, we …

Discovering the stances of media outlets and influential people on current, debatable topics
is important for social statisticians and policy makers. Many supervised solutions exist for …