  The emergence of Large Language Models (LLMs) has brought both excitement and
concerns to social computing research. On the one hand, LLMs offer
unprecedented capabilities in analyzing vast amounts of textual data and
generating human-like responses, enabling researchers to delve into complex
social phenomena. On the other hand, concerns are emerging regarding the
validity, privacy, and ethics of the research when LLMs are involved. This SIG
aims at offering an open space for social computing researchers who are
interested in understanding the impacts of LLMs to discuss their current
practices, perspectives, challenges when engaging with LLMs in their everyday
work and collectively shaping the emerging norms of using LLMs in social
computing research.
