Dataset and Replication Code for Generative AI and the Reinvention of Tourism Destination Marketing: Toward a Post-Human Branding Paradigm

This dataset accompanies the manuscript “Post-Human Branding Paradigm: AI vs. Human Influencers in Tourism Marketing”. It contains three components: Text Mining (200 rows) – AI-generated vs. human-authored texts with polarity scores, lexical diversity, and authenticity measures. Social Media Data (100 rows) – influencer account statistics (AI vs. human), including followers, likes, comments, and engagement rates. Experiment Data (400 rows) – participant-level responses from an online experiment (trust, interest, loyalty), with random assignment to AI disclosure vs. no-disclosure conditions and manipulation check results. A README file describes the variables and methodology for replication purposes.