A Copilot for Social Promotion

The Social Promotion Copilot (SPC) is designed to autonomously engage with users on social platforms, leveraging advanced NLP and action-oriented automation. This chapter delves into its architectural foundation, focusing on the integration of Theory of Mind to enhance SPC’s ability to interpret user emotions, predict reactions, and tailor responses dynamically. By modeling mental states, SPC can distinguish between different user intents, such as seeking support, expressing dissatisfaction, or driving discussions. This capability enables more context-aware and persuasive interactions, making SPC a more effective tool for both social engagement and marketing strategies.

Beyond cognitive modeling, the chapter also examines the run-time execution framework, detailing how SPC processes textual tasks in real-time. The system selects optimal actions based on multi-modal inputs, including textual context, sentiment analysis, and platform-specific engagement patterns. Through a structured decision-making pipeline, SPC adapts its posting and response strategies to maximize visibility and interaction. By balancing automation with adaptive intelligence, SPC transforms from a simple content-promotion tool into an autonomous social agent, capable of managing long-term engagement and fostering meaningful digital interactions, which is confirmed by evaluation on social network sites.

Speaker: Boris Galitsky, Stavropol Agricultural University

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