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

Guangyu Chen; Paolo Ciuccarelli; Sara Colombo

doi:10.1145/3491101.3519615

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/Report/Conference proceeding › Conference contribution › Academic › peer-review

11 Citations (Scopus)

4 Downloads (Pure)

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 language	English
Title of host publication	CHI EA '22
Subtitle of host publication	Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems
Editors	Simone Barbosa, Cliff Lampe, Caroline Appert, David A. Shamma
Place of Publication	New York
Publisher	Association for Computing Machinery, Inc.
Number of pages	7
ISBN (Electronic)	978-1-4503-9156-6
DOIs	https://doi.org/10.1145/3491101.3519615
Publication status	Published - 28 Apr 2022
Event	2022 Conference on Human Factors in Computing Systems, CHI 2022 - Virtual, Online, United States Duration: 30 Apr 2022 → 5 May 2022

Conference

Conference	2022 Conference on Human Factors in Computing Systems, CHI 2022
Country/Territory	United States
City	Virtual, Online
Period	30/04/22 → 5/05/22

Keywords

reflection
user experience
misinformation
filter bubble
Social media
design

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10.1145/3491101.3519615

pdfFinal published version, 5 MBLicence: CC BY

Cite this

Chen, G., Ciuccarelli, P., & Colombo, S. (2022). VisualBubble: Exploring How Reflection-Oriented User Experiences Affect Users’ Awareness of Their Exposure to Misinformation on Social Media. In S. Barbosa, C. Lampe, C. Appert, & D. A. Shamma (Eds.), CHI EA '22: Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems Article 289 Association for Computing Machinery, Inc.. https://doi.org/10.1145/3491101.3519615

Chen, Guangyu ; Ciuccarelli, Paolo ; Colombo, Sara. / VisualBubble : Exploring How Reflection-Oriented User Experiences Affect Users’ Awareness of Their Exposure to Misinformation on Social Media. CHI EA '22: Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems. editor / Simone Barbosa ; Cliff Lampe ; Caroline Appert ; David A. Shamma. New York : Association for Computing Machinery, Inc., 2022.

@inproceedings{321eea558fbf4d04968d2b029bbe9b0e,

title = "VisualBubble: Exploring How Reflection-Oriented User Experiences Affect Users{\textquoteright} Awareness of Their Exposure to Misinformation on Social Media",

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{\textquoteright} 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{\textquoteright} 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.",

keywords = "reflection, user experience, misinformation, filter bubble, Social media, design",

author = "Guangyu Chen and Paolo Ciuccarelli and Sara Colombo",

year = "2022",

month = apr,

day = "28",

doi = "10.1145/3491101.3519615",

language = "English",

editor = "Simone Barbosa and Cliff Lampe and Caroline Appert and Shamma, \{David A.\}",

booktitle = "CHI EA '22",

publisher = "Association for Computing Machinery, Inc.",

address = "United States",

note = "2022 Conference on Human Factors in Computing Systems, CHI 2022 ; Conference date: 30-04-2022 Through 05-05-2022",

}

Chen, G, Ciuccarelli, P & Colombo, S 2022, VisualBubble: Exploring How Reflection-Oriented User Experiences Affect Users’ Awareness of Their Exposure to Misinformation on Social Media. in S Barbosa, C Lampe, C Appert & DA Shamma (eds), CHI EA '22: Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems., 289, Association for Computing Machinery, Inc., New York, 2022 Conference on Human Factors in Computing Systems, CHI 2022, Virtual, Online, United States, 30/04/22. https://doi.org/10.1145/3491101.3519615

VisualBubble: Exploring How Reflection-Oriented User Experiences Affect Users’ Awareness of Their Exposure to Misinformation on Social Media. / Chen, Guangyu; Ciuccarelli, Paolo; Colombo, Sara.
CHI EA '22: Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems. ed. / Simone Barbosa; Cliff Lampe; Caroline Appert; David A. Shamma. New York: Association for Computing Machinery, Inc., 2022. 289.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - VisualBubble

T2 - 2022 Conference on Human Factors in Computing Systems, CHI 2022

AU - Chen, Guangyu

AU - Ciuccarelli, Paolo

AU - Colombo, Sara

PY - 2022/4/28

Y1 - 2022/4/28

N2 - 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.

AB - 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.

KW - reflection

KW - user experience

KW - misinformation

KW - filter bubble

KW - Social media

KW - design

UR - https://www.scopus.com/pages/publications/85129773527

U2 - 10.1145/3491101.3519615

DO - 10.1145/3491101.3519615

M3 - Conference contribution

BT - CHI EA '22

A2 - Barbosa, Simone

A2 - Lampe, Cliff

A2 - Appert, Caroline

A2 - Shamma, David A.

PB - Association for Computing Machinery, Inc.

CY - New York

Y2 - 30 April 2022 through 5 May 2022

ER -

Chen G, Ciuccarelli P, Colombo S. VisualBubble: Exploring How Reflection-Oriented User Experiences Affect Users’ Awareness of Their Exposure to Misinformation on Social Media. In Barbosa S, Lampe C, Appert C, Shamma DA, editors, CHI EA '22: Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems. New York: Association for Computing Machinery, Inc. 2022. 289 doi: 10.1145/3491101.3519615

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

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