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We address the integration of storytelling and Large Language Models (LLMs)to develop engaging and believable Social Chatbots (SCs) in community settings.Motivated by the potential of fictional characters to enhance socialinteractions, we introduce Storytelling Social Chatbots (SSCs) and the conceptof story engineering to transform fictional game characters into "live" socialentities within player communities. Our story engineering process includesthree steps: (1) Character and story creation, defining the SC's personalityand worldview, (2) Presenting Live Stories to the Community, allowing the SC torecount challenges and seek suggestions, and (3) Communication with communitymembers, enabling interaction between the SC and users. We employed the LLMGPT-3 to drive our SSC prototypes, "David" and "Catherine," and evaluated theirperformance in an online gaming community, "DE (Alias)," on Discord. Ourmixed-method analysis, based on questionnaires (N=15) and interviews (N=8) withcommunity members, reveals that storytelling significantly enhances theengagement and believability of SCs in community settings.

Fictional Worlds, Real Connections: Developing Community Storytelling Social Chatbots through LLMs