VisualBubble: Exploring How Reflection-Oriented User Experiences Affect Users' Awareness of Their Exposure to Misinformation on Social Media

Guangyu Chen, Paolo Ciuccarelli, Sara Colombo

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Abstract

Current solutions addressing misinformation on social media appear to rely on the misconception that misinformation is predominately spread by Artificial Intelligence (AI). However, the proliferation of false news is mainly due to humans. Solutions to curb misinformation should therefore emphasize human behavioral interventions, rather than focus solely on curbing AI bots. In this study, we analyze social media users' behaviors by means of a user journey. We create VisualBubble, a design probe that encourages reflection-oriented user experiences during news consumption on social media. We test our design probe with 10 users, to determine its effectiveness in increasing users' critical reflection on their news consumption behaviors. The initial findings show that VisualBubble can contribute to more critical attitudes towards the news that users are exposed to and, therefore, has the potential to mitigate social media misinformation.

Original languageEnglish
Title of host publicationCHI 2022 - Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems
PublisherACM
ISBN (Electronic)9781450391566
DOIs
Publication statusPublished - 28 Apr 2022
Event2022 CHI Conference on Human Factors in Computing Systems, CHI EA 2022 - New Orleans, United States
Duration: 30 Apr 20225 May 2022

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference2022 CHI Conference on Human Factors in Computing Systems, CHI EA 2022
Country/TerritoryUnited States
CityNew Orleans
Period30/04/225/05/22

Bibliographical note

Publisher Copyright:
© 2022 Owner/Author.

Keywords

  • design
  • filter bubble
  • misinformation
  • reflection
  • Social media
  • user experience

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