Modeling political actors is at the core of quantitative political science. Existing works have
incorporated contextual information to better learn the representation of political actors for …

Recent research has offered insights into the extraordinary capabilities of Large Multimodal
Models (LMMs) in various general vision and language tasks. There is growing interest in …

Abstract Language change is influenced by many factors, but often starts from synchronic
variation, where multiple linguistic patterns or forms coexist, or where different speech …

The rise of social networking sites has reshaped digital interactions, becoming fertile
grounds for extremist ideologies, notably in the United States. Despite previous research …

There is growing concern that over the past decade, industrialized democratic nations are
becoming increasingly politically polarized. Indeed, elections in the US, UK, France, and …

Large Language Models (LLMs) have revolutionized solutions for general natural language
processing (NLP) tasks. However, deploying these models in specific domains still faces …

Over time, social media bots (SMBs), specifically political SMBs, have played a crucial role
in influencing and spreading misinformation, manipulating public opinion, and harassing …

In democratic countries, political interest is deeply involved in people's daily lives. Research
in political consumerism shows that product purchase decision is also influenced by the …

Media bias can significantly impact the formation and development of opinions and
sentiments in a population. It is thus important to study the emergence and development of …

With the rapid development of social media, the importance of analyzing social network user
data has also been put on the agenda. User representation learning in social media is a …