Artificial Intelligence in Performance-Driven Design

8Decoding Global Indoor Health Perception on Social Media Through NLP and Transformer Deep Learning

Mehdi Ashayeri

School of Architecture, College of Arts and Media, Southern Illinois University Carbondale, Carbondale, IL, USA

Introduction

Social media platforms offer a valuable data source for capturing perceptions and subjective matters within built environments. They enable participation, interaction, and open communication, allowing diverse stakeholders to express different narratives and viewpoints (Yue et al. 2022). Research shows that social media strongly influences how people see their lives and the world around them, which in turn affects their overall well‐being (Greco and Polli 2021). According to Marshal McLuhan (Fen 1969; McLuhan 1994), media technologies act as extensions of human senses and cognition, which in turn reshape our interactions with our environment. Social media further offers a platform for public discussions on many topics. Its real‐time insights into what many people think and do make it a valuable resource for research (Diaz et al. 2016). Additionally, the wealth of data available on social media represents a primary source for exploring people's opinions, sentiments, emotions, and life’s experiences (Bollen, Mao, and Zeng 2011). As a result, most recently, monitoring and evaluating public perception through social media has become a crucial approach in environmental research.

The influence of social networks and the internet on environmental ...