Online health communities: how do community members build the trust required to adopt information and form close relationships?

亲密度 杠杆(统计) 社会资本 互联网隐私 公共关系 知识管理 社会化媒体 业务 心理学 计算机科学 社会学 政治学 万维网 社会科学 机器学习 数学分析 数学
作者
Hanmei Fan,Reeva Lederman
出处
期刊:European Journal of Information Systems [Palgrave Macmillan]
卷期号:27 (1): 62-89 被引量:100
标识
DOI:10.1080/0960085x.2017.1390187
摘要

Online Health Communities (OHCs) have become a popular avenue for people to share common concerns about a health topic. However, because users of these forums tend not to have formal medical training, they often cannot verify objectively the soundness of the advice provided. Thus, there is a need to understand better the mechanism through which people trust and utilise information found on these forums. In testing a theory-based trust model, we find that forum users accept advice more readily as they develop cognitive trust (trust based on a cognitive assessment) and/or affective trust (trust based on an emotional connection). Affective trust is also closely related to formation of relational closeness. This indicates that, while both forms of trust are important, the development of emotional connections provides for long-term OHCs interactions. Findings here, indicate that prior exchanges are not needed to access and utilise OHC community resources. However, trust (developed through prior exchanges) is required for a recipient to leverage the contributor's social capital for information adoption and relational closeness. These findings allow the distribution of social capital to be viewed in terms of an asymmetrical model where it is possible to accept capital, in the form of advice, without first demonstrating trustworthiness. In the OHC setting the onus is on the contributor of advice to establish trustworthiness, whereas traditionally social capital theory requires receivers of capital to establish trust. These findings are important for site designers and provide insight to managers and developers of OHCs regarding the behaviours and motivations of forum users.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
修仙中应助神勇幻枫采纳,获得10
1秒前
1秒前
汉堡包应助snow采纳,获得10
1秒前
3秒前
guobiao发布了新的文献求助10
3秒前
哈哈哈哈完成签到 ,获得积分10
4秒前
4秒前
6秒前
qiqiya77完成签到,获得积分10
8秒前
8秒前
8秒前
雨姐科研发布了新的文献求助10
8秒前
小蘑菇应助朱广田采纳,获得10
8秒前
默默发布了新的文献求助10
9秒前
gaogao发布了新的文献求助10
11秒前
11秒前
13秒前
脑洞疼应助XHH采纳,获得10
13秒前
EZ发布了新的文献求助10
14秒前
Suc发布了新的文献求助10
17秒前
xwwwww发布了新的文献求助10
17秒前
18秒前
姚yao发布了新的文献求助10
19秒前
gaogao完成签到,获得积分10
19秒前
Yanzhang0000完成签到,获得积分10
20秒前
cecehhh发布了新的文献求助10
21秒前
天天快乐应助科研通管家采纳,获得10
21秒前
aajhajkahna应助科研通管家采纳,获得10
22秒前
传奇3应助科研通管家采纳,获得10
22秒前
香蕉觅云应助科研通管家采纳,获得10
22秒前
慕青应助科研通管家采纳,获得30
22秒前
英姑应助科研通管家采纳,获得10
22秒前
英俊的铭应助科研通管家采纳,获得10
22秒前
大个应助科研通管家采纳,获得10
22秒前
核桃应助科研通管家采纳,获得30
23秒前
Magician应助科研通管家采纳,获得20
23秒前
JamesPei应助科研通管家采纳,获得10
23秒前
小马甲应助科研通管家采纳,获得10
23秒前
Lo应助科研通管家采纳,获得10
23秒前
23秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Encyclopedia of Cardiovascular Research and Medicine(2e) 820
自動車の空力技術 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7781791
求助须知:如何正确求助?哪些是违规求助? 9321417
关于积分的说明 20382975
捐赠科研通 7369678
什么是DOI,文献DOI怎么找? 3320126
关于科研通互助平台的介绍 2467955
邀请新用户注册赠送积分活动 2336049