معرفی
Sun-Young Park is an Associate Professor and Department Chair in the Department of Communication at the University of Massachusetts Boston, College of Liberal Arts. Her research and teaching focus on strategic communication, particularly in health, sustainability, and nonprofit sectors.
Education:
- PhD in Mass Communication, University of Florida, 2012
- MA in Advertising, The University of Texas at Austin, 2008
- BA in French Culture, American Culture, and Mass Communications, Sogang University, 2004
Dr. Park's research centers on health communication campaigns, corporate social responsibility (CSR), celebrity endorsements, and social media analytics. She applies consumer and social psychology theories—such as construal level theory and regulatory focus—to evaluate advertising effectiveness in promoting pro-social behaviors like HPV vaccination, responsible drinking, and recycling. Her work often uses experimental methods and data-driven analysis to assess message framing and audience response.
Her recent publications reflect a strong trend in behavioral interventions, public policy communication, and digital marketing innovation. She investigates how social norms, celebrity-cause fit, and platform-specific language influence campaign outcomes. Her interdisciplinary approach bridges communication, psychology, and data science, particularly in analyzing startup communication and augmented reality in advertising.
Scientific Awards:
- 2012 American Academy of Advertising (AAA) Doctoral Dissertation Award
Dr. Park has advised students in the American Advertising Federation (AAF) National Student Advertising Competition and taught courses in advertising principles, research, strategy, and integrated marketing communications. Her industry experience as an account executive at Innocean Worldwide (Hyundai Kia) enriches her practical insights. She has not received explicit grant mentions in the text, but her extensive publication record suggests active research funding. She collaborates across disciplines, especially in data-driven communication models, though no formal lab or team name is specified.
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