How to Self-Disclose? The Impact of Patients’ Linguistic Features on Doctors’ Service Quality in Online Health Communities

In online medical consultations, patients convey their medical condition through self-disclosure, and the linguistic features of this disclosure, as signals, may significantly impact doctors’ diagnostic behavior and service quality. Based on signaling theory, this paper collects consultation data fr...

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Main Authors: Mengyuan Peng, Kaixuan Zhu, Yadi Gu, Xuejie Yang, Kaixiang Su, Dongxiao Gu
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Journal of Theoretical and Applied Electronic Commerce Research
Subjects:
Online Access:https://www.mdpi.com/0718-1876/20/2/56
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author Mengyuan Peng
Kaixuan Zhu
Yadi Gu
Xuejie Yang
Kaixiang Su
Dongxiao Gu
author_facet Mengyuan Peng
Kaixuan Zhu
Yadi Gu
Xuejie Yang
Kaixiang Su
Dongxiao Gu
author_sort Mengyuan Peng
collection DOAJ
description In online medical consultations, patients convey their medical condition through self-disclosure, and the linguistic features of this disclosure, as signals, may significantly impact doctors’ diagnostic behavior and service quality. Based on signaling theory, this paper collects consultation data from a large online medical platform in China, employs text mining and classification techniques to extract relevant variables, and applies econometric models to empirically examine the effect of patients’ self-disclosure linguistic features on the quality of online medical services. The results indicate that the completeness and readability of patients’ self-disclosure have a significant positive impact on the quality of doctors’ services, while the expertise and positive sentiment of the disclosure have a significant negative effect. From the perspective of signaling theory, this study reveals the mechanism through which patients’ self-disclosure linguistic features influence doctors’ online consultation behavior, providing an important theoretical foundation for promoting online doctor–patient interaction and enhancing patient well-being.
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record_format Article
series Journal of Theoretical and Applied Electronic Commerce Research
spelling doaj-art-fa9f9334259f41c78028ebe0b6c7a8472025-08-20T03:27:33ZengMDPI AGJournal of Theoretical and Applied Electronic Commerce Research0718-18762025-03-012025610.3390/jtaer20020056How to Self-Disclose? The Impact of Patients’ Linguistic Features on Doctors’ Service Quality in Online Health CommunitiesMengyuan Peng0Kaixuan Zhu1Yadi Gu2Xuejie Yang3Kaixiang Su4Dongxiao Gu5School of Management, Hefei University of Technology, Hefei 230009, ChinaSchool of Management, Hefei University of Technology, Hefei 230009, ChinaMental Health Education Center, University of Shanghai for Science and Technology, Shanghai 200093, ChinaSchool of Humanity and Law, Hefei University of Technology, Hefei 230009, ChinaSchool of Management, Hefei University of Technology, Hefei 230009, ChinaSchool of Management, Hefei University of Technology, Hefei 230009, ChinaIn online medical consultations, patients convey their medical condition through self-disclosure, and the linguistic features of this disclosure, as signals, may significantly impact doctors’ diagnostic behavior and service quality. Based on signaling theory, this paper collects consultation data from a large online medical platform in China, employs text mining and classification techniques to extract relevant variables, and applies econometric models to empirically examine the effect of patients’ self-disclosure linguistic features on the quality of online medical services. The results indicate that the completeness and readability of patients’ self-disclosure have a significant positive impact on the quality of doctors’ services, while the expertise and positive sentiment of the disclosure have a significant negative effect. From the perspective of signaling theory, this study reveals the mechanism through which patients’ self-disclosure linguistic features influence doctors’ online consultation behavior, providing an important theoretical foundation for promoting online doctor–patient interaction and enhancing patient well-being.https://www.mdpi.com/0718-1876/20/2/56self-disclosurelinguistic featuresservice qualityinformational supportemotional support
spellingShingle Mengyuan Peng
Kaixuan Zhu
Yadi Gu
Xuejie Yang
Kaixiang Su
Dongxiao Gu
How to Self-Disclose? The Impact of Patients’ Linguistic Features on Doctors’ Service Quality in Online Health Communities
Journal of Theoretical and Applied Electronic Commerce Research
self-disclosure
linguistic features
service quality
informational support
emotional support
title How to Self-Disclose? The Impact of Patients’ Linguistic Features on Doctors’ Service Quality in Online Health Communities
title_full How to Self-Disclose? The Impact of Patients’ Linguistic Features on Doctors’ Service Quality in Online Health Communities
title_fullStr How to Self-Disclose? The Impact of Patients’ Linguistic Features on Doctors’ Service Quality in Online Health Communities
title_full_unstemmed How to Self-Disclose? The Impact of Patients’ Linguistic Features on Doctors’ Service Quality in Online Health Communities
title_short How to Self-Disclose? The Impact of Patients’ Linguistic Features on Doctors’ Service Quality in Online Health Communities
title_sort how to self disclose the impact of patients linguistic features on doctors service quality in online health communities
topic self-disclosure
linguistic features
service quality
informational support
emotional support
url https://www.mdpi.com/0718-1876/20/2/56
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