PsyPrompt: LLM Prompt Patterns for Goal Contents Pursuit on Social Media

Goal contents pursuit serves as an effective indicator to predict individual behaviors and life satisfaction. In current studies, the measures of self-reports are limited by the expenses and subjectivity, Despite the fact that machine learning and deep learning models can effectively utilize user data from social media to objectively classify goal contents pursuit, the workload associated with supervised learning is substantial. By using appropriate prompt patterns, Large Language Models (LLM) can execute diverse tasks in a prompt manner. Thus, we develop six prompt patterns for classifying goal content pursuits of users on social media. The results indicate that some of these prompt patterns successfully classify intrinsic and extrinsic goals. Overall, this research presents an usable prompting paradigm and approach, PsyPrompt, which enhances the methodology of objectively classifying individual goal content pursuits using LLMs.