کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
350750 618457 2014 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Styles of moderation in online health and support communities: An experimental comparison of their acceptance and effectiveness
ترجمه فارسی عنوان
سبک های اعتدال در سلامت آنلاین و حمایت از جوامع: مقایسه تجربی از پذیرش و اثربخشی آنها
کلمات کلیدی
جامعه آنلاین، سلامت الکترونیک، مدرن، کنترل اجتماعی، سیگنالینگ ارتباطی، رسانه های اجتماعی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی


• Scenario experiments with random sample of members of online health communities.
• Indirect control more accepted and effective than direct control.
• Rewarding moderation styles more effective than punishing styles.
• No difference between active versus passive members in acceptance and effectiveness.

Medical and social support communities depend very much on the active participation of their members. An active nurturing and moderation of online community activities is often necessary to overcome typical problems of community interaction, such as a lack of trust and active engagement. However, it is unclear what types of moderation and social control members do accept and which are effective. We study the acceptance and effectiveness of different moderation styles in two experimental scenario studies. Our results demonstrate that direct forms of control that provide members with incentives are not accepted and are regarded as ineffective, whereas more indirect forms that rely on relational interests and normative obligations are regarded to be more acceptable and effective. Furthermore, positive (rewarding) moderation styles are more effective than negative (punishing) styles. Members regard negative moderation styles as more effective for the avoidance of unacceptable (rule-breaking) behavior than for the stimulation of desirable (e.g., engaging) behavior. Acceptance and effectiveness of different moderation styles do not differ between active versus passive members.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers in Human Behavior - Volume 36, July 2014, Pages 65–75
نویسندگان
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