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A socio-technological model of search information divide in US cities

机译:搜索信息划分的社会技术模型

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Purpose The purpose of the current study is to theorize and apply a socio-technological model - the powerful influence of social determinants in conditioning the effects of information attention on social outcomes. Fundamentally, this study is motivated by the idea that the social determinants of information flow can be used as a predictive tool to inform public socio-policy decisions. Design/methodology/approach This study draws upon digital disparity literature and uses publicly available Google search queries in exploring online information attention and its relationships to the HIV/AIDS diffusion in US cities. This study's secondary data collected from extant sources is used to draw attention to a holistic urban ecology under which online search attention represents the variation of information access at the aggregate level. Findings The main finding shows that online information attention, as indicated by search trend, is far from being a simple predictor, but operates in complex interactions with existing social environments. A bivariate correlation between AIDS information search and AIDS diffusion rate was found to be significant. However, predictive multivariate models displayed robust effects of social contextual variables, such as income level and racial composition of cities, in moderating the effect of online search information flow. Practical implications The importance of these insights is discussed for reducing socio-health disparities at the macro-social level, and policymakers and health administrators are recommended to incubate supportive online infrastructure as an effective preventive measure at the time of a crisis. Originality/value The unique contribution of this study is the premise that looks at the aggregate-ecological contour of cities within which the potential benefits of information occur, instead of examining the isolated function of mediated information per se. In this vein, online information search, in lieu of the exposure to mass media message that is often measured via self-reported items, is a particularly unique and fruitful area of future inquiry that this study promotes.
机译:目的目前的研究目的是理解和应用社会技术模型 - 社会决定因素对信息关注对社会成果的影响的强大影响。从根本上说,这项研究通过了解信息流的社会决定因素可以用作可通知公共社会政策决策的预测工具。设计/方法/方法本研究借鉴了数字差异文献,并使用公共可用的Google搜索查询探索在线信息注意及其与美国城市的艾滋病毒/艾滋病扩散的关系。本研究从现存来源收集的二级数据用于提请注意在线搜索注意力代表聚合水平的信息访问变化的整体城市生态。调查结果主要发现显示,正如搜索趋势所指出的那样,在线信息关注,远非是一个简单的预测因子,而是以与现有社会环境的复杂交互运行。发现艾滋病信息搜索和艾滋病扩散速率之间的双变型相关性是显着的。然而,预测多元模型显示了社会上下文变量的强大影响,例如城市的收入水平和种族构成,在培养在线搜索信息流的影响。实际意义这些见解的重要性被讨论用于减少宏观社会层面的社会健康差异,并建议政策制定者和卫生管理员作为危机时期的有效预防措施孵化支持性的在线基础设施。原创性/价值本研究的独特贡献是看看信息潜在的信息的汇总 - 生态轮廓的前提,而不是检查介导信息本身的孤立功能。在此静脉中,在线信息搜索,代替往往通过自我报告的物品衡量的大众媒体信息的暴露,是这项研究促进的未来探究的一个特别独特而富有成效的领域。

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