DDRIG in DRMS: The Impact of Normative Influence on Competitive Framing of Risks on Social Media

DRMS 中的 DDRIG：规范影响力对社交媒体风险竞争框架的影响

• 批准号: 2242394
• 负责人: Katherine McComas
• 金额: $ 5.05万
• 依托单位: Cornell University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-04-15 至 2025-03-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2242394&HistoricalAwards=false
• 关键词: DDRIG; DRMS; Impact; Normative; Influence

Social media contains an abundance of misinformation on about risk issues that can disproportionately harm vulnerable populations. Competing information can create uncertainty, leading people to turn to available social cues to form risk judgments and make decisions. This research revolves around two questions: (1) To what extent do social norms reflected in user comments shape risk attitudes and behaviors in competitive information environments? (2) To what extent do dynamic norms in risk messages pre-empt or counter the effects of misinformation, even more so than social norms in user comments? The findings offer risk regulators valuable insights on how to craft risk messages that can cut through the clutter of misinformation to promote pro-social outcomes.The researchers investigate these questions using two survey experiments that integrate research on competitive framing and social norms. Competitive framing research has primarily focused on how individual perceptions (e.g., cognition and emotion) influence persuasive outcomes, but there is limited understanding of the role of social perceptions on outcomes. Given that social media are inherently social in nature, social perceptions are central to this work. The research also explores the impact of dynamic norms, which highlight the change in a minority behavior over time, thus departing from conventional social norms research that focuses on static norms (e.g., description of prevalent or socially approved behavior). The intellectual merit of this research lies in advancing knowledge about the underlying mechanism of social perception influencing risk judgments and decisions in competitive information environments. It also illuminates the relative impact of dynamic norms compared to static norms and the role of minority influence on risk attitudes and behaviors.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

社交媒体在关于风险问题上包含大量的错误信息，这些问题可能不成比例地损害弱势群体。竞争信息可能会引起不确定性，导致人们转向可用的社交线索，以形成风险判断并做出决定。这项研究围绕两个问题：（1）用户评论中反映的社会规范在竞争性信息环境中塑造风险态度和行为的程度在多大程度上？ （2）风险消息中的动态规范在多大程度上是在多大程度上避免或应对错误信息的影响，甚至比用户评论中的社会规范更重要？这些发现提供了风险调节者关于如何制作风险信息的宝贵见解，这些信息可以通过误解的混乱来促进亲社会成果。竞争性框架研究主要集中在个人看法（例如认知和情感）如何影响说服力的结果上，但是人们对社会看法对结果的作用的理解有限。鉴于社交媒体本质上是社会性质的，因此社会观念对这项工作至关重要。该研究还探讨了动态规范的影响，该规范突出了少数群体行为的变化，因此偏离了关注静态规范的传统社会规范研究（例如，普遍或社会认可的行为的描述）。这项研究的智力优点在于促进有关社会感知的潜在机制的知识，从而影响了竞争信息环境中的风险判断和决策。与静态规范相比，它还阐明了动态规范的相对影响，以及少数群体对风险态度和行为的影响。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的智力优点评估和更广泛的影响来通过评估来支持的。