How exposure to different opinions impacts the life cycle of social media
As a lot of communication and media consumption moves online, people may be exposed to a wider population and more diverse opinions. However, individuals may act differently when faced with opinions far removed from their own. Moreover, changes in the frequency of visits, posting, and other forms of...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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Springer-Verlag
2018
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| Online Access: | http://hdl.handle.net/1721.1/113384 https://orcid.org/0000-0002-2784-9042 |
| _version_ | 1811084337388453888 |
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| author | Rad, Armin A. Jalali, Seyed Mohammad Javad Rahmandad, Hazhir |
| author2 | Sloan School of Management |
| author_facet | Sloan School of Management Rad, Armin A. Jalali, Seyed Mohammad Javad Rahmandad, Hazhir |
| author_sort | Rad, Armin A. |
| collection | MIT |
| description | As a lot of communication and media consumption moves online, people may be exposed to a wider population and more diverse opinions. However, individuals may act differently when faced with opinions far removed from their own. Moreover, changes in the frequency of visits, posting, and other forms of expression could lead to narrowing of the opinions that each person observes, as well as changes in the customer base for online platforms. Despite increasing research on the rise and fall of online social media outlets, user activity
in response to exposure to others’ opinions has received little attention. In this study, we first introduce a method that maps opinions of individuals and their generated content on a multi-dimensional space by factorizing an individual-object interaction (e.g., user-news rating) matrix. Using data on 6,151 users interacting with 287,327 pieces of content over 21 months on a social media platform we estimate changes in individuals’ activities in response to interact ion with content expressing a variety of opinions. We find that individuals increase their online activities when interacting with content close to their own opinions, and interacting with extreme opinions may decrease their activities. Finally, developing an agent-based simulation model, we study the effect of the estimated mechanisms on the future success of a simulated platform. Keywords: social media; user activity; opinion measuring; agent-based simulation |
| first_indexed | 2024-09-23T12:49:08Z |
| format | Article |
| id | mit-1721.1/113384 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T12:49:08Z |
| publishDate | 2018 |
| publisher | Springer-Verlag |
| record_format | dspace |
| spelling | mit-1721.1/1133842022-10-01T11:19:04Z How exposure to different opinions impacts the life cycle of social media Rad, Armin A. Jalali, Seyed Mohammad Javad Rahmandad, Hazhir Sloan School of Management Jalali, Mohammad S. Jalali, Seyed Mohammad Javad Rahmandad, Hazhir As a lot of communication and media consumption moves online, people may be exposed to a wider population and more diverse opinions. However, individuals may act differently when faced with opinions far removed from their own. Moreover, changes in the frequency of visits, posting, and other forms of expression could lead to narrowing of the opinions that each person observes, as well as changes in the customer base for online platforms. Despite increasing research on the rise and fall of online social media outlets, user activity in response to exposure to others’ opinions has received little attention. In this study, we first introduce a method that maps opinions of individuals and their generated content on a multi-dimensional space by factorizing an individual-object interaction (e.g., user-news rating) matrix. Using data on 6,151 users interacting with 287,327 pieces of content over 21 months on a social media platform we estimate changes in individuals’ activities in response to interact ion with content expressing a variety of opinions. We find that individuals increase their online activities when interacting with content close to their own opinions, and interacting with extreme opinions may decrease their activities. Finally, developing an agent-based simulation model, we study the effect of the estimated mechanisms on the future success of a simulated platform. Keywords: social media; user activity; opinion measuring; agent-based simulation National Science Foundation (U.S.) (Grant SES-1027413) 2018-02-01T14:12:44Z 2018-02-01T14:12:44Z 2017-06 Article http://purl.org/eprint/type/JournalArticle 0254-5330 1572-9338 http://hdl.handle.net/1721.1/113384 Rad, Armin A. et al. “How Exposure to Different Opinions Impacts the Life Cycle of Social Media.” Annals of Operations Research (June 2017) © 2017 Springer Science+Business Media https://orcid.org/0000-0002-2784-9042 en_US http://dx.doi.org/10.1007/s10479-017-2554-8 Annals of Operations Research Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Springer-Verlag Jalali |
| spellingShingle | Rad, Armin A. Jalali, Seyed Mohammad Javad Rahmandad, Hazhir How exposure to different opinions impacts the life cycle of social media |
| title | How exposure to different opinions impacts the life cycle of social media |
| title_full | How exposure to different opinions impacts the life cycle of social media |
| title_fullStr | How exposure to different opinions impacts the life cycle of social media |
| title_full_unstemmed | How exposure to different opinions impacts the life cycle of social media |
| title_short | How exposure to different opinions impacts the life cycle of social media |
| title_sort | how exposure to different opinions impacts the life cycle of social media |
| url | http://hdl.handle.net/1721.1/113384 https://orcid.org/0000-0002-2784-9042 |
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