Pandemic-Incited Intermediated Communication| Communicating Through Chaos in the Webtoon Parasocial Intimacy Chamber

Authors

  • Brian Yecies Communication and Media School of The Arts, English and Media Faculty of Arts, Social Sciences and Humanities | Building 25.142 University of Wollongong NSW 2522 Australia
  • Dingkun Wang The University of Hong Kong, China
  • Mehrdad Amirghasemi Research Fellow University of Wollongong, SMART Infrastructure Facility, Wollongong, Australia
  • Kishan Kariippanon John Walsh Centre for Rehabilitation Research, University of Sydney
  • Ming Lu Software Developer/Engineer. North Turramurra, New South Wales, Australia

Keywords:

webtoons, emotion detection, engagement, social media entertainment, platformization

Abstract

This study investigates some of the communicative practices displayed by readers of vertically scrolling digital comics known as webtoons. A big-data emotion detection technique is used to identify, categorize, and analyze the contents of more than 14 million comments posted during the first year of the COVID-19 pandemic. The authors explore the technical affordances of the self-publishing CANVAS section of the Webtoons.com site to demonstrate how an expanding cohort of readers use CANVAS as a chamber for communicating feelings, sharing commiserations, and offering collegial support. In so doing, they contribute to the improvement of participants’ well-being and differentiate themselves from other digital platform users who comment solely on stories, characters, and aesthetics. As such, their parasocial interaction transforms the webtoon format, which has yet to be fully investigated, into a communication platform where the “co-creating engagement” of readers generates a sense of intimacy at a distance. The conclusion highlights theoretical implications surrounding this communal digital technology of the self in the context of artificial intelligence.

Author Biographies

Brian Yecies, Communication and Media School of The Arts, English and Media Faculty of Arts, Social Sciences and Humanities | Building 25.142 University of Wollongong NSW 2522 Australia

Associate Professor

Dingkun Wang, The University of Hong Kong, China

Assistant Professor

Mehrdad Amirghasemi, Research Fellow University of Wollongong, SMART Infrastructure Facility, Wollongong, Australia

Dr Amirghasemi is an early career researcher with a PhD in Computing and Information Technology. He holds a masters degree, in Intelligent Systems Design, from Chalmers University of Technology, Gothenburg, Sweden. He obtained a GPA of 5 (out of 5) for his master studies and received a scholarship award to pursue his PhD studies in University of Wollongong. Despite holding a research-only role, he has over five years of extensive teaching experience as a subject coordinator and lecturer at UOW.

Kishan Kariippanon, John Walsh Centre for Rehabilitation Research, University of Sydney

Public Health Policy Expert

Ming Lu, Software Developer/Engineer. North Turramurra, New South Wales, Australia

Research Assistant

Downloads

Published

2024-06-07

Issue

Section

Special Sections