Dr. Segijn is an Associate Professor at the Hubbard School of Journalism and Mass Communication, University of Minnesota–Twin Cities and Mithun Program Fellow in Advertising. Her research focuses on the intended and unintended effects of digital media. For example, she examines information processing and advertising effects of media multitasking and synced advertising, as well as privacy concerns and ethical ramifications of personalized communication and other forms of online surveillance. 

A bibliometric study published in 2021 identified her as the number 1 contributing author to the media multitasking literature, and she is the pioneer and leading scholar on synced advertising research. In 2020, she was granted the prestigious Mary Alice Shaver Promising Professor award of the American Academy of Advertising (AAA) and named an emerging scholar for Association for Education in Journalism and Mass Communication (AEJMC). She received numerous (best paper) awards and research grants from different academic organizations including the AAA, AEJMC, European Academy of Advertising, and International Communication Association. 

Her work has appeared in Journal of Advertising, International Journal of Advertising, International Journal of Research in Marketing, Communication Methods & Measures, Communication Research, Human Communication Research, Internet Research, Journal of Broadcasting & Electronic Media, Cyberpsychology, Behavior, & Social Networking, Journalism & Mass Communication Quarterly, Journal of Marketing Communications and Journal of Interactive Advertising among others.

She taught several courses both to undergraduate and graduate students, ranging from individual supervision to teaching in front of large groups of students.

Educational Background & Specialties
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Educational Background

  • Ph.D.: Communication Science, University of Amsterdam, 2017
  • MSc.: Research Master in communication Science, University of Amsterdam, 2012
  • BSc.: Communication Science, University of Amsterdam, 2010

Specialties

  • Privacy concerns and ethical ramifications related to data-driven advertising
  • Synced advertising
  • Visual attention/eye tracking
  • Multiscreening
  • Media Multitasking
  • Advertising effects