The First International Workshop on Large Language Models for Social Media (SocialLLM 2025)

The rapid evolution of Large Language Models (LLMs) has profoundly impacted social media, transforming how information is generated, disseminated, and analyzed. With their ability to process vast amounts of data, grasp contextual nuances, and engage in human-like dialogue, LLMs present new opportunities and challenges for understanding online interactions. The SocialLLM 2025 workshop builds on the foundation laid by SocialNLP, expanding the scope to explore the capabilities and implications of LLMs in social media research. This year's workshop at TheWebConf 2025 focuses on three pivotal themes: leveraging LLMs for mental health support, enhancing emotion detection in textual interactions, and improving misinformation detection through active learning. The selected papers illustrate cutting-edge advancements in these areas, demonstrating how LLMs can be fine-tuned for therapeutic dialogue generation, assessed for their emotional intelligence, and optimized for misinformation detection with minimal labeled data. These contributions highlight the growing interdisciplinary nature of LLM research, merging insights from natural language processing, social computing, and artificial intelligence ethics. By bringing together researchers and practitioners from diverse backgrounds, SocialLLM 2025 aims to foster meaningful discussions on the opportunities and risks associated with LLM-driven social media applications. The workshop serves as a platform for exploring novel methodologies, addressing ethical concerns, and shaping future directions for responsible AI deployment in social media environments. Through collaborative efforts, we seek to advance the field and ensure that LLMs contribute positively to the digital ecosystem.