Back to results

University of Illinois at Urbana-Champaign

Using chatbots to correct COVID-19 misinformation: a controlled experiment

Abstract

dc:description

Conversational agents, otherwise known as chatbots, have been increasingly used by organizations worldwide to provide health-related information and correct misinformation in the COVID-19 pandemic. However, previous studies have neither empirically investigated the effectiveness of correcting misinformation using chatbots, nor have they provided theory-based guidelines for the designing of such chatbots. To address these concerns, we developed our misinformation-correcting chatbots and conducted two experiments. In the pre-test experiment (n = 42), we examined whether corrective information provided through chatbot interactions can correct COVID-related misperception and behavioral intention compared to not receiving such information. In the official study (n = 791), we investigate whether and how chatbots with interactive conversational cues and/or empathetic conversational cues can outperform the basic chatbot in correcting users’ COVID-19-vaccination misperception and enhancing users’ vaccination intention. Our results indicate that chatbots can be effective in fighting against misinformation and interactive and empathetic conversational cues do affect users’ psychological perception towards the chatbot and in turn leads to better interaction outcomes. We also identified different mechanisms of people’s misperception change and behavioral intention change. Theoretical and practical implications are discussed.

Degree

thesis:*
Name thesis:degree_name
M.S.
Level thesis:degree_level
Thesis
Discipline thesis:degree_discipline
Advertising
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2022

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Gong, Ziyang
Contributors dc:contributor
  • Su, Leona Yi-Fan
  • Wise, Kevin
  • Sar, Sela

Subjects

dc:subject × 7

Rights

dc:rights
Statement dc:rights
  • Copyright 2022 Ziyang Gong
Language dc:language
en, eng

Identifiers

dc:identifier.*
Handle dc:identifier
https://hdl.handle.net/2142/115956

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Gong, Ziyang. Using chatbots to correct COVID-19 misinformation: a controlled experiment. Thesis thesis, University of Illinois at Urbana-Champaign, 2022. https://hdl.handle.net/2142/115956