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Examining retweeting behavior on social networking sites from the perspective of self-presentation
On social networking sites, people can express themselves in a variety of ways such as creating personalized profiles, commenting on some topics, sharing their experiences and thoughts. Among these technology-enabled features, retweeting other-sourced tweet is a powerful way for users to present the...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10202284/ https://www.ncbi.nlm.nih.gov/pubmed/37216346 http://dx.doi.org/10.1371/journal.pone.0286135 |
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author | Shi, Juan Lai, Kin Keung Chen, Gang |
author_facet | Shi, Juan Lai, Kin Keung Chen, Gang |
author_sort | Shi, Juan |
collection | PubMed |
description | On social networking sites, people can express themselves in a variety of ways such as creating personalized profiles, commenting on some topics, sharing their experiences and thoughts. Among these technology-enabled features, retweeting other-sourced tweet is a powerful way for users to present themselves. We examine users’ retweeting behavior from the perspective of online identity and self-presentation. The empirical results based on a panel dataset crawled from Twitter reveal that, people are prone to retweet topics they are interested in and familiar with, in order to convey a consistent and clear online identity. In addition, we also examine which user groups exhibit a stronger propensity for a clear online identity, considering the practical value of these users to both social media platforms and marketers. By integrating self-presentation theory with social influence theory and social cognitive theory, we propose and confirm that users with higher value in online self-presentation efficacy and users who are more involved with the social media platform have a stronger than average propensity to maintain a consistent online identity, and thus are more likely to retweet familiar topics. These users are characterized by (1) owning a larger number of followers, (2) authoring longer and more original tweets than average, (3) being active in retweeting other-sourced posts. This study contributes to our understanding of SNS users’ retweeting behavior and adds to the emerging line of research on online identity. It also provides insights on how microblogging service providers and enterprises can promote people’s retweeting behavior. |
format | Online Article Text |
id | pubmed-10202284 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-102022842023-05-23 Examining retweeting behavior on social networking sites from the perspective of self-presentation Shi, Juan Lai, Kin Keung Chen, Gang PLoS One Research Article On social networking sites, people can express themselves in a variety of ways such as creating personalized profiles, commenting on some topics, sharing their experiences and thoughts. Among these technology-enabled features, retweeting other-sourced tweet is a powerful way for users to present themselves. We examine users’ retweeting behavior from the perspective of online identity and self-presentation. The empirical results based on a panel dataset crawled from Twitter reveal that, people are prone to retweet topics they are interested in and familiar with, in order to convey a consistent and clear online identity. In addition, we also examine which user groups exhibit a stronger propensity for a clear online identity, considering the practical value of these users to both social media platforms and marketers. By integrating self-presentation theory with social influence theory and social cognitive theory, we propose and confirm that users with higher value in online self-presentation efficacy and users who are more involved with the social media platform have a stronger than average propensity to maintain a consistent online identity, and thus are more likely to retweet familiar topics. These users are characterized by (1) owning a larger number of followers, (2) authoring longer and more original tweets than average, (3) being active in retweeting other-sourced posts. This study contributes to our understanding of SNS users’ retweeting behavior and adds to the emerging line of research on online identity. It also provides insights on how microblogging service providers and enterprises can promote people’s retweeting behavior. Public Library of Science 2023-05-22 /pmc/articles/PMC10202284/ /pubmed/37216346 http://dx.doi.org/10.1371/journal.pone.0286135 Text en © 2023 Shi et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Shi, Juan Lai, Kin Keung Chen, Gang Examining retweeting behavior on social networking sites from the perspective of self-presentation |
title | Examining retweeting behavior on social networking sites from the perspective of self-presentation |
title_full | Examining retweeting behavior on social networking sites from the perspective of self-presentation |
title_fullStr | Examining retweeting behavior on social networking sites from the perspective of self-presentation |
title_full_unstemmed | Examining retweeting behavior on social networking sites from the perspective of self-presentation |
title_short | Examining retweeting behavior on social networking sites from the perspective of self-presentation |
title_sort | examining retweeting behavior on social networking sites from the perspective of self-presentation |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10202284/ https://www.ncbi.nlm.nih.gov/pubmed/37216346 http://dx.doi.org/10.1371/journal.pone.0286135 |
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