The field of digital discourse and cross-cultural interactions is moving towards a deeper understanding of how language and cultural context influence online communications. Recent studies have highlighted the importance of considering cultural distinctions and conversational dynamics in the analysis of online interactions, particularly in the context of social media and digital migration. The use of innovative methods such as large language model-based sentiment classification and BERT-based topic modeling has enabled researchers to examine complex phenomena like affective asymmetry and emotion-stance structures in online interactions. Furthermore, the examination of cross-linguistic digital activism has shed light on the motivations driving global social movements, suggesting that belief alignment plays a primary role in driving cross-cultural interactions. Noteworthy papers include:

• The Expressions of Depression and Anxiety in Chinese Psycho-counseling, which provides insights into psycholinguistic markers relevant to therapeutic practices in Chinese-speaking populations.
• Belief Alignment vs Opinion Leadership, which demonstrates that belief alignment is a primary driver of cross-cultural interactions in digital activism.