Factors influencing users' post replying behavior in a senior online community: an empirical investigation
Senior online communities (SOCs) have become an important venue for older people to seek support and exchange information. While online community engagement has been well studied in the existing literature, few studies have explored how older adults behave in online communities. Therefore, drawing u...
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sg-ntu-dr.10356-1725852023-12-13T07:43:38Z Factors influencing users' post replying behavior in a senior online community: an empirical investigation Qian, Yuxing Ni, Zhenni Zheng, Han Liu, Zhenghao Ma, Feicheng Wee Kim Wee School of Communication and Information Social sciences::Communication Senior Online Community Online User Engagement Senior online communities (SOCs) have become an important venue for older people to seek support and exchange information. While online community engagement has been well studied in the existing literature, few studies have explored how older adults behave in online communities. Therefore, drawing upon signaling theory, this study aims to investigate how different content-related and social-related signals influence users’ post replying behavior (i.e., reply to another user's post) in SOCs. We collected 7486 health-related posts and 71,859 comments from one of the most popular Chinese SOCs, Keai (https://www.keai99.com). Information signals in the posts were operationalized using different techniques such as text mining and social network analysis. Results from negative binomial regression indicated that content-related signals (posts’ topic and length) and social-related signals (authors’ position and centrality) were related to replying behavior. In addition, we revealed some differences between the effects of these signals on informational replies and emotional replies. More specifically, compared to posts mentioning traditional Chinese medicine, posts mentioning western medicine received more informational replies, but less emotional replies. Original posts triggered more informational replies, whereas shared posts attracted more emotional replies. Average reply length was positively related to informational replies, but negatively related to emotional replies. Considering the important role of SOCs in satisfying older adults’ social and informational needs, future research is needed to promote user social engagement in SOCs, thereby maintaining their sustainability. This study is funded by the National Natural Science Foundation of China (No. 71420107026), China Scholarship Council (CSC) (No. 202106270122), and Hubei Cultural Celebrity Special Fund. 2023-12-13T07:43:38Z 2023-12-13T07:43:38Z 2023 Journal Article Qian, Y., Ni, Z., Zheng, H., Liu, Z. & Ma, F. (2023). Factors influencing users' post replying behavior in a senior online community: an empirical investigation. Telematics and Informatics, 77, 101926-. https://dx.doi.org/10.1016/j.tele.2022.101926 0736-5853 https://hdl.handle.net/10356/172585 10.1016/j.tele.2022.101926 2-s2.0-85144400626 77 101926 en Telematics and Informatics © 2022 Elsevier Ltd. All rights reserved. |
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Social sciences::Communication Senior Online Community Online User Engagement Qian, Yuxing Ni, Zhenni Zheng, Han Liu, Zhenghao Ma, Feicheng Factors influencing users' post replying behavior in a senior online community: an empirical investigation |
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Senior online communities (SOCs) have become an important venue for older people to seek support and exchange information. While online community engagement has been well studied in the existing literature, few studies have explored how older adults behave in online communities. Therefore, drawing upon signaling theory, this study aims to investigate how different content-related and social-related signals influence users’ post replying behavior (i.e., reply to another user's post) in SOCs. We collected 7486 health-related posts and 71,859 comments from one of the most popular Chinese SOCs, Keai (https://www.keai99.com). Information signals in the posts were operationalized using different techniques such as text mining and social network analysis. Results from negative binomial regression indicated that content-related signals (posts’ topic and length) and social-related signals (authors’ position and centrality) were related to replying behavior. In addition, we revealed some differences between the effects of these signals on informational replies and emotional replies. More specifically, compared to posts mentioning traditional Chinese medicine, posts mentioning western medicine received more informational replies, but less emotional replies. Original posts triggered more informational replies, whereas shared posts attracted more emotional replies. Average reply length was positively related to informational replies, but negatively related to emotional replies. Considering the important role of SOCs in satisfying older adults’ social and informational needs, future research is needed to promote user social engagement in SOCs, thereby maintaining their sustainability. |
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Wee Kim Wee School of Communication and Information |
author_facet |
Wee Kim Wee School of Communication and Information Qian, Yuxing Ni, Zhenni Zheng, Han Liu, Zhenghao Ma, Feicheng |
format |
Article |
author |
Qian, Yuxing Ni, Zhenni Zheng, Han Liu, Zhenghao Ma, Feicheng |
author_sort |
Qian, Yuxing |
title |
Factors influencing users' post replying behavior in a senior online community: an empirical investigation |
title_short |
Factors influencing users' post replying behavior in a senior online community: an empirical investigation |
title_full |
Factors influencing users' post replying behavior in a senior online community: an empirical investigation |
title_fullStr |
Factors influencing users' post replying behavior in a senior online community: an empirical investigation |
title_full_unstemmed |
Factors influencing users' post replying behavior in a senior online community: an empirical investigation |
title_sort |
factors influencing users' post replying behavior in a senior online community: an empirical investigation |
publishDate |
2023 |
url |
https://hdl.handle.net/10356/172585 |
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1787136689118904320 |