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A Behavioral Function Approach in Predicting Contribution of User-Generated Content

机译:预测用户生成内容贡献的行为函数方法

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This study theoretically develops a three-stage model in which certain types of health behavior functions (i.e., health-affirming vs. health-detection/treatment) prime individuals to process information with either a defensive or accuracy motivation. Such information-processing motivations, in turn, are expected to influence the contribution and consumption of user-generated health content. The three-stage model was tested with data from an online sample of American adults (N = 767). A well-fitting structural equation model provided evidence for each of the hypothesized paths except for that from health-detection/treatment behavior to accuracy motivation. Individuals' information search for health-affirming behaviors instigated a defensive motivation. Moreover, while both information-processing motivations influenced user-generated content consumption, only defensive motivation had a significant effect on user-generated content contribution. Finally, there was also one significant cross-stage path in which health-affirming behavior had a direct effect on content contribution, thus, overstepping defensive and accuracy motivations.
机译:这项研究从理论上建立了一个三阶段模型,其中某些类型的健康行为功能(即健康确认与健康检测/治疗)使个人以防御或准确性动机来处理信息。继而,预期此类信息处理动机会影响用户生成的健康内容的贡献和消费。使用来自美国成年人(N = 767)在线样本的数据对三阶段模型进行了测试。除了从健康检测/治疗行为到准确性动机的假设以外,一个拟合良好的结构方程模型为每个假设路径提供了证据。通过个人信息搜索来确认健康行为,这是一种防御动机。此外,虽然两种信息处理动机都影响用户生成的内容消费,但只有防御动机会对用户生成的内容贡献产生重大影响。最后,还有一条重要的跨阶段路径,在该路径中,确认健康的行为直接影响内容的贡献,从而超越了防御和准确性动机。

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