文献类型：期刊文献

英文题名：Effect of writing style on social support in online health communities: A theoretical linguistic analysis framework

作者：Jiang, Shan[1];Liu, Xuan[2,3];Chi, Xiaotong[2]

机构：[1]Univ Massachusetts Boston, Coll Management, 100 Morrisey Blvd, Boston, MA 02125 USA;[2]East China Univ Sci & Technol, Sch Business, 130 Meilong Rd, Shanghai 200237, Peoples R China;[3]East China Univ Sci & Technol, 130 Meilong Rd, Shanghai, Peoples R China

年份：2022

卷号：59

期号：6

外文期刊名：INFORMATION & MANAGEMENT

收录：;EI(收录号：20222912360337);WOS:【SSCI(收录号:WOS:000863018900007)，SCI-EXPANDED(收录号:WOS:000863018900007)】；

基金：Acknowledgments This research was supported by the National Natural Science Foun-dation of China with grants (71971082, 71471064, 71371005, and 91646205) , the Science and Technology Innovation Plan of Shanghai Science and Technology Commission (grant number 22692110200, 19692106700) , and Fundamental Research Funds for the Central Universities.

语种：英文

外文关键词：Online health communities; Social support; Linguistic analysis; Exponential random graph models; Online health communities; Social support; Linguistic analysis; Exponential random graph models

摘要：In online health communities (OHCs), patients can exchange social support through text-based communication. However, research on how various linguistic characteristics of patients' communication in these communities affect their social support outcomes remains limited. This study performs linguistic profiling on OHC participants based on a large dataset and empirically evaluates how lexical, syntactic, semantic, and pragmatic features affect users' communication and social support outcomes. The results show that lexical richness in health-related vocabulary negatively correlates with receiving informational support. The readability and brevity of written texts have positive relationships with incoming social support. Writing longer sentences positively correlates with receiving informational support but negatively correlates with receiving emotional support. Expressing negative sentiment leads to higher chances of receiving both types of social support. The use of terms related to perception and body parts increases the chances of receiving emotional support. The use of terms related to perception words additionally correlates to higher chances of receiving informational support. To receive social supports, being logical in expressions is also critical. Furthermore, the relationships between shared health language and social support are determined by the word category and social support type.