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TECHNOLOGY-MEDIATED DANGEROUS BEHAVIORS AS FORAGING FOR SOCIAL-HEDONIC REWARDS: THE ROLE OF IMPLIED INEQUALITY

机译:技术介导的危险行为作为社会馆奖励的义务:暗示不等式的作用

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Technology-mediated dangerous behaviors (TMDBs), such as posting selfies while driving or posting private information, are prevalent and potentially require interventions. Knowledge about the drivers of these, and specifically the role of information in stimulating such behaviors, is limited. To address this gap, this paper turns to foraging and risk-sensitivity theories. These theories suggest that animals engage in more dangerous behaviors when their perceived need for calories is high. Similarly, humans increase financial risk-taking when they perceive dissatisfaction with what they have. Importantly, inequality information can increase such perceptions and change people's risk-taking propensity. Adapting these ideas, the paper postulates that TMDBs resemble food-seeking in animals in that they are goal oriented, can be dangerous, and yield unknown (probabilistic) rewards. Therefore, TMDBs are explained using foraging and risk-sensitivity theory angles. Focusing on social media users (Studies 1-4; four experiments; total n = 2,504), I argue that (1) it is reasonable to view users as foraging the "fields of social media" for social-hedonic rewards, (2) it is possible to alter their risk appetite and TMDBs through inequality information and upward comparison mechanisms, (3) this process can be mediated not only through cognitions, but also emotions, and (4) perceived scarcity of rewards and social comparison orientation affect this process. With Study 5, the paper extends the core aspects of this theoretical perspective to the U.S. state level and argues that objective financial inequality can explain differences between states in terms of TMDBs such as texting while driving and relative interest in TMDBs such as prank videos. The findings largely support these assertions. They illuminate the role of information, notably inequality, in driving TMDBs, extend prior research focused on basic needs (e.g., physiological needs in the case of food intake decisions) to an evaluation of higher-order human needs (e.g., needs for belongingness, esteem, and self-actualization) catered to by nonphysiological, social-hedonic rewards, and point to important mechanisms that translate inequality into TMDBs.
机译:技术介导的危险行为(TMDB),例如在驾驶或发布私人信息时发布自拍,普遍且可能需要干预措施。关于这些司机的知识,特别是信息在刺激这种行为时的作用是有限的。为了解决这一差距,本文转向觅食和风险敏感性理论。这些理论表明,当动物对卡路里的需求很高时,动物会在更危险的行为。同样,人类会增加金融风险 - 当他们认为对他们所拥有的内容的不满时,就会采取。重要的是,不等式信息可以增加这种看法,改变人们的风险倾向。调整这些想法,纸张假设TMDBS在动物中类似于食物,因为它们是目标的目标,可能是危险的,并且产生未知(概率)奖励。因此,使用觅食和风险敏感性理论角度来解释TMDB。专注于社交媒体用户(研究1-4;四个实验;总N = 2,504),我认为(1)将用户视为觅食的“社交媒体领域”是合理的,为社交馆奖励,(2)通过不等式信息和向上的比较机制可以改变其风险偏好和TMDB,(3)该过程不仅可以通过认知,而且可以通过认知,而且(4)感知奖励和社会比较方向的稀缺影响这一过程。通过研究5,该论文将这种理论视角的核心方面扩展到美国级别的核心方面,并认为客观的财务不平等可以在TMDB方面解释各国之间的差异,例如发短信,而驾驶和诸如恶作剧的TMDB的相对兴趣。调查结果很大程度上支持这些断言。他们阐明了信息,特别是不平等,在驾驶TMDB方面,延长了对基本需求的先前研究(例如,食物摄入决策的生理需求),以评估高阶人类需求(例如,归属需求,尊重和自我实现)通过非物理,社会储存奖励,指出将不等式转化为TMDB的重要机制。

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