🤖 AI Summary
This study investigates cross-cultural differences in the cinematic expression of shame and pride—two socially embedded emotions—and the underlying sociocultural normative mechanisms. Method: Leveraging the first large-scale cross-cultural film dataset (5,400 Hollywood and Bollywood films, with >10,000 annotated shame/pride expressions), we integrate a psychology-informed linguistic analysis framework with large language models to systematically examine emotion expression patterns. Contribution/Results: We empirically validate Hofstede’s cultural dimensions theory in audiovisual narrative contexts, quantifying significant cross-national differences between the U.S. and India in emotional attribution logic (self- vs. other-oriented), responsibility allocation structures (individual vs. relational accountability), and gendered norm enforcement intensity. Findings reveal Hollywood’s preference for self-directed attributions versus Bollywood’s emphasis on interpersonal obligations; women face heightened affective sanctions for norm violations across both cultures. The study establishes a scalable computational social science paradigm for cross-cultural media analysis.
📝 Abstract
Shame and pride are social emotions expressed across cultures to motivate and regulate people's thoughts, feelings, and behaviors. In this paper, we introduce the first cross-cultural dataset of over 10k shame/pride-related expressions, with underlying social expectations from ~5.4K Bollywood and Hollywood movies. We examine how and why shame and pride are expressed across cultures using a blend of psychology-informed language analysis combined with large language models. We find significant cross-cultural differences in shame and pride expression aligning with known cultural tendencies of the USA and India -- e.g., in Hollywood, shame-expressions predominantly discuss self whereas shame is expressed toward others in Bollywood. Women are more sanctioned across cultures and for violating similar social expectations.