Self Presentation

Self-presentation, the way individuals portray themselves, is increasingly studied through computational methods, focusing on how textual self-descriptions in online profiles and social media predict various behaviors and outcomes. Current research leverages large language models and machine learning algorithms to analyze these self-presentations, examining their predictive power for factors like startup success and misinformation sharing, and exploring biases embedded in data curation processes. These analyses reveal insights into human behavior and social dynamics, impacting fields like investment decision-making and the development of more responsible AI systems.