CHS: Small: Collaborative Research: The Presentation of Self in Networked Life

CHS：小：协作研究：网络生活中自我的呈现

• 批准号: 1617243
• 负责人: Jeffrey Hancock
• 金额: $ 25万
• 依托单位: Stanford University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-01 至 2020-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1617243&HistoricalAwards=false
• 关键词: CHS; Small; Collaborative; Research; Presentation

The objective of this project is to use cyber-human systems as a lens for understanding self-presentation as it occurs in a complex environment. This lens will be used to develop and validate theoretical and computational frameworks for understanding self-presentation in a networked world by focusing on how people conceptualize the operation of social media platforms, especially the algorithms that govern the visibility of content. Information about oneself that is shared by others, for example, can spread rapidly to unexpected audiences or contexts. Once a largely interpersonal process, self-presentation now occurs in a complex cyber-human system in which people generate content about themselves and others on media platforms, each with opaque algorithmic mechanisms that govern the visibility of content to various audiences. Facing this complexity, people develop folk theories of how social media platforms work. These conceptualizations drive people's understanding and behavior, and as such they have important social consequences, but they are currently not well understood or represented by extant theories of self-presentation.These objectives will be accomplished through a series of novel empirical studies, combined with computational models that infer a user's conceptualization of a social media platform and that allow users to reflect on their understanding of the platform. This work builds on and integrates substantial research in the areas of self-presentation and impression management, the concept of folk theories from psychology and anthropology, and the role of platforms and algorithms in people's online experience. It provides three unique contributions: 1) empirical data on how people conceptualize and understand the role of algorithms and other visibility mechanisms, and how these folk theories influence self-presentation behavior; 2) novel computational models to aid in analysis, prediction and reflection on how information that contributes to self-presentation in online contexts is generated, shared and viewed online; 3) an empirical and computational foundation for advancing our understanding of the complex cyber-human system in which self-presentation now occurs.

该项目的目标是使用网络人类系统作为透镜，以理解复杂环境中发生的自我呈现。这个透镜将被用来开发和验证理论和计算框架，通过关注人们如何概念化社交媒体平台的操作，特别是管理内容可见性的算法，来理解网络世界中的自我展示。例如，他人分享的关于自己的信息可能会迅速传播给意想不到的受众或环境。 自我展示曾经是一个主要的人际过程，现在发生在一个复杂的网络人类系统中，在这个系统中，人们在媒体平台上生成关于自己和他人的内容，每个平台都有不透明的算法机制来管理内容对不同受众的可见性。面对这种复杂性，人们发展了关于社交媒体平台如何运作的民间理论。这些概念化驱动着人们的理解和行为，因此它们具有重要的社会后果，但它们目前还没有得到很好的理解，也没有被现存的自我呈现理论所代表。这些目标将通过一系列新颖的实证研究来实现，与推断用户对社交媒体平台的概念化并允许用户反映他们对社交媒体平台的理解的计算模型相结合。平台 这项工作建立在自我展示和印象管理，心理学和人类学民间理论的概念，以及平台和算法在人们在线体验中的作用等领域的大量研究的基础上，并将其整合。它提供了三个独特的贡献：1）关于人们如何概念化和理解算法和其他可见性机制的作用的经验数据，以及这些民间理论如何影响自我呈现行为; 2）新颖的计算模型，以帮助分析，预测和反思在线环境中有助于自我呈现的信息如何在线生成，共享和查看; 3）一个经验和计算的基础，以促进我们对复杂的网络人类系统的理解，其中自我呈现现在发生。