An Investigation of the Portrayal of Social Media Challenges on YouTube and Twitter

A social media phenomenon that has received limited research attention is the advent and propagation of viral online challenges. Several of these challenges entail self-harming behavior, which, combined with their viral nature, poses physical and psychological risks for both participants and viewers...

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Published in:ACM Transactions on Social Computing
Main Authors: Khasawneh, Amro, Madathil, Kapil Chalil, Zinzow, Heidi, Wisniewski, Pamela, Ponathil, Amal, Rogers, Hunter, Agnisarman, Sruthy, Roth, Rebecca, Narasimhan, Meera
Other Authors: National Science Foundation, Division of Information and Intelligent Systems, Cyber-Human Systems program
Format: Article in Journal/Newspaper
Language:English
Published: Association for Computing Machinery (ACM) 2021
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Online Access:http://dx.doi.org/10.1145/3444961
https://dl.acm.org/doi/pdf/10.1145/3444961
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spelling cracm:10.1145/3444961 2024-10-13T14:06:26+00:00 An Investigation of the Portrayal of Social Media Challenges on YouTube and Twitter Khasawneh, Amro Madathil, Kapil Chalil Zinzow, Heidi Wisniewski, Pamela Ponathil, Amal Rogers, Hunter Agnisarman, Sruthy Roth, Rebecca Narasimhan, Meera National Science Foundation, Division of Information and Intelligent Systems, Cyber-Human Systems program 2021 http://dx.doi.org/10.1145/3444961 https://dl.acm.org/doi/pdf/10.1145/3444961 en eng Association for Computing Machinery (ACM) ACM Transactions on Social Computing volume 4, issue 1, page 1-23 ISSN 2469-7818 2469-7826 journal-article 2021 cracm https://doi.org/10.1145/3444961 2024-09-23T04:02:20Z A social media phenomenon that has received limited research attention is the advent and propagation of viral online challenges. Several of these challenges entail self-harming behavior, which, combined with their viral nature, poses physical and psychological risks for both participants and viewers. The objective of this study is to identify the nature of what people post about the social media challenges that vary in their level of risk. To do so, we conducted a qualitative analysis of three viral social media challenges, the Blue Whale, Tide Pod, and Ice Bucket challenges, based on 180 YouTube videos, 3,607 comments on those YouTube videos, and 450 Twitter posts. We identified common themes across the YouTube videos, comments, and Twitter posts: (1) promoting education and awareness, (2) criticizing the participants, (3) providing detailed information about the participants, (4) giving viewers a tutorial on how to participate, and (5) attempting to understand this seemingly senseless online behavior. We used social norm theory to discuss what leads people to post about the challenges and how posts intended to raise awareness about harmful challenges could potentially create a contagion effect by spreading knowledge about them, thereby increasing participation. Finally, we proposed design implications that could potentially minimize the risks and propagation of harmful social media challenges. Article in Journal/Newspaper Blue whale ACM Publications (Association for Computing Machinery) ACM Transactions on Social Computing 4 1 1 23
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collection ACM Publications (Association for Computing Machinery)
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language English
description A social media phenomenon that has received limited research attention is the advent and propagation of viral online challenges. Several of these challenges entail self-harming behavior, which, combined with their viral nature, poses physical and psychological risks for both participants and viewers. The objective of this study is to identify the nature of what people post about the social media challenges that vary in their level of risk. To do so, we conducted a qualitative analysis of three viral social media challenges, the Blue Whale, Tide Pod, and Ice Bucket challenges, based on 180 YouTube videos, 3,607 comments on those YouTube videos, and 450 Twitter posts. We identified common themes across the YouTube videos, comments, and Twitter posts: (1) promoting education and awareness, (2) criticizing the participants, (3) providing detailed information about the participants, (4) giving viewers a tutorial on how to participate, and (5) attempting to understand this seemingly senseless online behavior. We used social norm theory to discuss what leads people to post about the challenges and how posts intended to raise awareness about harmful challenges could potentially create a contagion effect by spreading knowledge about them, thereby increasing participation. Finally, we proposed design implications that could potentially minimize the risks and propagation of harmful social media challenges.
author2 National Science Foundation, Division of Information and Intelligent Systems, Cyber-Human Systems program
format Article in Journal/Newspaper
author Khasawneh, Amro
Madathil, Kapil Chalil
Zinzow, Heidi
Wisniewski, Pamela
Ponathil, Amal
Rogers, Hunter
Agnisarman, Sruthy
Roth, Rebecca
Narasimhan, Meera
spellingShingle Khasawneh, Amro
Madathil, Kapil Chalil
Zinzow, Heidi
Wisniewski, Pamela
Ponathil, Amal
Rogers, Hunter
Agnisarman, Sruthy
Roth, Rebecca
Narasimhan, Meera
An Investigation of the Portrayal of Social Media Challenges on YouTube and Twitter
author_facet Khasawneh, Amro
Madathil, Kapil Chalil
Zinzow, Heidi
Wisniewski, Pamela
Ponathil, Amal
Rogers, Hunter
Agnisarman, Sruthy
Roth, Rebecca
Narasimhan, Meera
author_sort Khasawneh, Amro
title An Investigation of the Portrayal of Social Media Challenges on YouTube and Twitter
title_short An Investigation of the Portrayal of Social Media Challenges on YouTube and Twitter
title_full An Investigation of the Portrayal of Social Media Challenges on YouTube and Twitter
title_fullStr An Investigation of the Portrayal of Social Media Challenges on YouTube and Twitter
title_full_unstemmed An Investigation of the Portrayal of Social Media Challenges on YouTube and Twitter
title_sort investigation of the portrayal of social media challenges on youtube and twitter
publisher Association for Computing Machinery (ACM)
publishDate 2021
url http://dx.doi.org/10.1145/3444961
https://dl.acm.org/doi/pdf/10.1145/3444961
genre Blue whale
genre_facet Blue whale
op_source ACM Transactions on Social Computing
volume 4, issue 1, page 1-23
ISSN 2469-7818 2469-7826
op_doi https://doi.org/10.1145/3444961
container_title ACM Transactions on Social Computing
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container_issue 1
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op_container_end_page 23
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