Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/139150
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Type: Journal article
Title: The (Mis)Information Game: A social media simulator
Author: Butler, L.H.
Lamont, P.
Wan, D.L.Y.
Prike, T.
Nasim, M.
Walker, B.
Fay, N.
Ecker, U.K.H.
Citation: Behavior Research Methods, 2024; 56(3):2376-2397
Publisher: Springer
Issue Date: 2024
ISSN: 1554-351X
1554-3528
Statement of
Responsibility: 
Lucy H. Butler, Padraig Lamont, Dean Law Yim Wan, Toby Prike, Mehwish Nasim, Bradley Walker, Nicolas Fay, Ullrich K. H. Ecke
Abstract: Given the potential negative impact reliance on misinformation can have, substantial effort has gone into understanding the factors that influence misinformation belief and propagation. However, despite the rise of social media often being cited as a fundamental driver of misinformation exposure and false beliefs, how people process misinformation on social media platforms has been under-investigated. This is partially due to a lack of adaptable and ecologically valid social media testing paradigms, resulting in an over-reliance on survey software and questionnaire-based measures. To provide researchers with a flexible tool to investigate the processing and sharing of misinformation on social media, this paper presents The Misinformation Game-an easily adaptable, open-source online testing platform that simulates key characteristics of social media. Researchers can customize posts (e.g., headlines, images), source information (e.g., handles, avatars, credibility), and engagement information (e.g., a post's number of likes and dislikes). The platform allows a range of response options for participants (like, share, dislike, flag) and supports comments. The simulator can also present posts on individual pages or in a scrollable feed, and can provide customized dynamic feedback to participants via changes to their follower count and credibility score, based on how they interact with each post. Notably, no specific programming skills are required to create studies using the simulator. Here, we outline the key features of the simulator and provide a non-technical guide for use by researchers. We also present results from two validation studies. All the source code and instructions are freely available online at https://misinfogame.com .
Keywords: Experimental control software; Misinformation; Social media
Description: Published online: 11 July 2023
Rights: © The Author(s) 2023. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/
DOI: 10.3758/s13428-023-02153-x
Grant ID: http://purl.org/au-research/grants/arc/FT190100708
Published version: http://dx.doi.org/10.3758/s13428-023-02153-x
Appears in Collections:Computer Science publications

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