HRCC Faculty Feature July

July 30, 2024 - Ashley Wilson

Research Interests:

  • Media Innovation, Design and Entrepreneurship
  • Health & Risk, Environment & Science Communication
  • Human Centered Technology Design

About her research:

Dr. Argyris’s research centers on the design, development, and use of Information Technology to aid users’ decision-making and create social influence. Her application areas center on health misinformation and social media influencers. With her collaborators in Computer Science, Dr. Argyris has developed deep learning models for classifying vaccine misinformation propagated on social media that hampers Human-papilloma virus vaccine uptakes among US teens. In addition, Dr. Argyris has applied deep learning models to identify how “visual congruence” (the similarity portrayed in visual elements of social media posts between message sources and recipients) can augment the sources’ influences on the receivers. From these studies, Dr. Argyris has proposed a new concept, visual congruence-induced social influence, which she uses to create influential social media campaigns to counteract health misinformation.

Recent Publications:

  • Young Anna Argyris, Victoria R. Nelson, Kaleigh Wiseley, Ruoyu Shen, Alexa Roscizewski, Do social media campaigns foster vaccination adherence? A systematic review of prior intervention-based campaigns on social media, Telematics and Informatics,Volume 76,2023, https://doi.org/10.1016/j.tele.2022.101918
  • Ruggeri K, Vanderslott S, Yamada Y, Argyris Y A, Većkalov B, Boggio P S et al. Behavioural interventions to reduce vaccine hesitancy driven by misinformation on social media BMJ 2024, https://www.bmj.com/content/384/bmj-2023-076542.abstract