Spreading scientific knowledge in China: personalized social media influence elements
China’s society continues to be shaped by social media, which is both inescapable and indispensable. Remarkably, the majority of Chinese firms and private organizations have achieved success by making use of the possibilities provided by social media platforms. Notwithstanding incredible successes v...
| Main Authors: | , , , , , |
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| Format: | Article |
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Hindawi Limited
2022
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| _version_ | 1796984277024374784 |
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| author | Li, Mengyu Wang, Yao Yasin, Megat Al Imran Hashim, Norliana Ang, Lay Hoon Kang, Hongzhe |
| author_facet | Li, Mengyu Wang, Yao Yasin, Megat Al Imran Hashim, Norliana Ang, Lay Hoon Kang, Hongzhe |
| author_sort | Li, Mengyu |
| collection | UPM |
| description | China’s society continues to be shaped by social media, which is both inescapable and indispensable. Remarkably, the majority of Chinese firms and private organizations have achieved success by making use of the possibilities provided by social media platforms. Notwithstanding incredible successes via social media, the majority of Chinese social media users lack scientific understanding, and as a result, there is a deficiency in the dissemination and popularization of scientific information among users of Chinese social media platforms. To bridge this gap, this study investigates specific features of social media based on scientific knowledge and proposes a scientific information propagation framework characterized by individual impact characteristics such as personal message, personal branding, service mentality strategy, exciting content, accurate and authentic, real-time streaming, and exclusive events. Among these factors, personal branding acquired a factor score of 23%, real-time streaming acquired a factor score of 20%, and service attitude approach received a factor score of 19.5%. Similarly, real and authentic personal messaging had a factor score of 15.6%. From the outcomes, we anticipated that personal or individual impact elements, such as personal branding, might affect the diffusion and popularization of scientific information among Chinese social media users. |
| first_indexed | 2024-03-06T11:18:04Z |
| format | Article |
| id | upm.eprints-103274 |
| institution | Universiti Putra Malaysia |
| last_indexed | 2024-03-06T11:18:04Z |
| publishDate | 2022 |
| publisher | Hindawi Limited |
| record_format | dspace |
| spelling | upm.eprints-1032742023-11-06T07:28:57Z http://psasir.upm.edu.my/id/eprint/103274/ Spreading scientific knowledge in China: personalized social media influence elements Li, Mengyu Wang, Yao Yasin, Megat Al Imran Hashim, Norliana Ang, Lay Hoon Kang, Hongzhe China’s society continues to be shaped by social media, which is both inescapable and indispensable. Remarkably, the majority of Chinese firms and private organizations have achieved success by making use of the possibilities provided by social media platforms. Notwithstanding incredible successes via social media, the majority of Chinese social media users lack scientific understanding, and as a result, there is a deficiency in the dissemination and popularization of scientific information among users of Chinese social media platforms. To bridge this gap, this study investigates specific features of social media based on scientific knowledge and proposes a scientific information propagation framework characterized by individual impact characteristics such as personal message, personal branding, service mentality strategy, exciting content, accurate and authentic, real-time streaming, and exclusive events. Among these factors, personal branding acquired a factor score of 23%, real-time streaming acquired a factor score of 20%, and service attitude approach received a factor score of 19.5%. Similarly, real and authentic personal messaging had a factor score of 15.6%. From the outcomes, we anticipated that personal or individual impact elements, such as personal branding, might affect the diffusion and popularization of scientific information among Chinese social media users. Hindawi Limited 2022 Article PeerReviewed Li, Mengyu and Wang, Yao and Yasin, Megat Al Imran and Hashim, Norliana and Ang, Lay Hoon and Kang, Hongzhe (2022) Spreading scientific knowledge in China: personalized social media influence elements. Advanced Artificial Intelligence Technologies for Service Enhancement on the Internet of Medical Things, 2022. pp. 1-8. https://www.hindawi.com/journals/misy/2022/5761377/ 10.1155/2022/5761377 |
| spellingShingle | Li, Mengyu Wang, Yao Yasin, Megat Al Imran Hashim, Norliana Ang, Lay Hoon Kang, Hongzhe Spreading scientific knowledge in China: personalized social media influence elements |
| title | Spreading scientific knowledge in China: personalized social media influence elements |
| title_full | Spreading scientific knowledge in China: personalized social media influence elements |
| title_fullStr | Spreading scientific knowledge in China: personalized social media influence elements |
| title_full_unstemmed | Spreading scientific knowledge in China: personalized social media influence elements |
| title_short | Spreading scientific knowledge in China: personalized social media influence elements |
| title_sort | spreading scientific knowledge in china personalized social media influence elements |
| work_keys_str_mv | AT limengyu spreadingscientificknowledgeinchinapersonalizedsocialmediainfluenceelements AT wangyao spreadingscientificknowledgeinchinapersonalizedsocialmediainfluenceelements AT yasinmegatalimran spreadingscientificknowledgeinchinapersonalizedsocialmediainfluenceelements AT hashimnorliana spreadingscientificknowledgeinchinapersonalizedsocialmediainfluenceelements AT anglayhoon spreadingscientificknowledgeinchinapersonalizedsocialmediainfluenceelements AT kanghongzhe spreadingscientificknowledgeinchinapersonalizedsocialmediainfluenceelements |