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

这个项目的目标是使用网络-人类系统作为一个透镜来理解在复杂环境中发生的自我表现。这个镜头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运作，特别是控制内容可见性的算法，来理解网络世界中的自我呈现。例如，别人分享的关于自己的信息可以迅速传播到意想不到的受众或环境中。自我呈现曾经是一个很大程度上的人际过程，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控制内容对不同受众的可见性。面对这种复杂性，人们想出了一些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影响，但它们目前没有被很好地理解，也没有被现有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，并结合计算模型来推断用户对社交媒体平台的概念化，并允许用户反思他们对平台的理解。这项工作建立并整合了自我表现和印象管理领域的大量研究，心理学和人类学的民间理论概念，以及平台和算法在人们在线体验中的作用。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，以及这些民间理论如何影响自我呈现行为的经验数据；2)新颖的计算模型，以帮助分析、预测和反思有助于在线环境中自我呈现的信息是如何生成、共享和在线查看的；3)一个经验和计算基础，以促进我们对复杂的网络-人类系统的理解，在这个系统中，自我呈现正在发生。

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.