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Fakey: A Game Intervention to Improve News Literacy on Social Media

Nicholas Micallef Orcid Logo, Mihai Avram, Filippo Menczer, Sameer Patil

Proceedings of the ACM on Human-Computer Interaction, Volume: 5, Issue: CSCW1, Pages: 1 - 27

Swansea University Author: Nicholas Micallef Orcid Logo

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DOI (Published version): 10.1145/3449080

Abstract

We designed and developed Fakey, a game to improve news literacy and reduce misinformation spread by emulating a social media feed. We analyzed player interactions with articles in the feed collected over 19 months within a real-world deployment of the game. We found that Fakey is effective in primi...

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Published in: Proceedings of the ACM on Human-Computer Interaction
ISSN: 2573-0142
Published: Association for Computing Machinery (ACM) 2021
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URI: https://cronfa.swan.ac.uk/Record/cronfa60583
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first_indexed 2022-07-22T13:51:48Z
last_indexed 2023-01-13T19:20:49Z
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spelling 2022-11-07T10:38:19.0550604 v2 60583 2022-07-21 Fakey: A Game Intervention to Improve News Literacy on Social Media 1cc4c84582d665b7ee08fb16f5454671 0000-0002-2683-8042 Nicholas Micallef Nicholas Micallef true false 2022-07-21 SCS We designed and developed Fakey, a game to improve news literacy and reduce misinformation spread by emulating a social media feed. We analyzed player interactions with articles in the feed collected over 19 months within a real-world deployment of the game. We found that Fakey is effective in priming players to be suspicious of articles from questionable sources. Players who interact with more articles in the game enhance their skills in spotting mainstream content, thus confirming the utility of Fakey for improving news literacy. Semi-structured interviews with those who played the game revealed that players find it simple, fun, and educational. The principles and mechanisms used by Fakey can inform the design of social media functionality to help people distinguish between credible and questionable content in their news feeds. Journal Article Proceedings of the ACM on Human-Computer Interaction 5 CSCW1 1 27 Association for Computing Machinery (ACM) 2573-0142 Misinformation, fake news, low-credibility content, news literacy, game, social media, news feed 13 4 2021 2021-04-13 10.1145/3449080 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University Another institution paid the OA fee 2022-11-07T10:38:19.0550604 2022-07-21T16:01:32.8408214 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Nicholas Micallef 0000-0002-2683-8042 1 Mihai Avram 2 Filippo Menczer 3 Sameer Patil 4 60583__24692__1fd66061e395475c8e147d9bdf53f71b.pdf 3449080.pdf 2022-07-21T16:05:27.4067174 Output 4697400 application/pdf Version of Record true © 2021 Copyright held by the owner/author(s). This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs International 4.0 License true eng https://creativecommons.org/licenses/by-nc-nd/4.0/
title Fakey: A Game Intervention to Improve News Literacy on Social Media
spellingShingle Fakey: A Game Intervention to Improve News Literacy on Social Media
Nicholas Micallef
title_short Fakey: A Game Intervention to Improve News Literacy on Social Media
title_full Fakey: A Game Intervention to Improve News Literacy on Social Media
title_fullStr Fakey: A Game Intervention to Improve News Literacy on Social Media
title_full_unstemmed Fakey: A Game Intervention to Improve News Literacy on Social Media
title_sort Fakey: A Game Intervention to Improve News Literacy on Social Media
author_id_str_mv 1cc4c84582d665b7ee08fb16f5454671
author_id_fullname_str_mv 1cc4c84582d665b7ee08fb16f5454671_***_Nicholas Micallef
author Nicholas Micallef
author2 Nicholas Micallef
Mihai Avram
Filippo Menczer
Sameer Patil
format Journal article
container_title Proceedings of the ACM on Human-Computer Interaction
container_volume 5
container_issue CSCW1
container_start_page 1
publishDate 2021
institution Swansea University
issn 2573-0142
doi_str_mv 10.1145/3449080
publisher Association for Computing Machinery (ACM)
college_str Faculty of Science and Engineering
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hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 1
active_str 0
description We designed and developed Fakey, a game to improve news literacy and reduce misinformation spread by emulating a social media feed. We analyzed player interactions with articles in the feed collected over 19 months within a real-world deployment of the game. We found that Fakey is effective in priming players to be suspicious of articles from questionable sources. Players who interact with more articles in the game enhance their skills in spotting mainstream content, thus confirming the utility of Fakey for improving news literacy. Semi-structured interviews with those who played the game revealed that players find it simple, fun, and educational. The principles and mechanisms used by Fakey can inform the design of social media functionality to help people distinguish between credible and questionable content in their news feeds.
published_date 2021-04-13T04:18:49Z
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score 11.016235

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