野外Grok：表征社交媒体上大语言模型的角色与用途
Grok in the Wild: Characterizing the Roles and Uses of Large Language Models on Social Media
AI总结：
本研究通过分析X平台上三个月的Grok交互数据，系统性地探究了LLM在公共社交空间中的使用模式、角色分类及用户特征，发现Grok主要充当信息提供者，但也承担争议管理角色。
摘要：
xAI的大语言模型Grok每周在社交媒体平台X上被数百万人使用。以往关于大语言模型使用特征的研究集中在私密的一对一交互上。Grok在X上的部署代表了与此设置的重大不同，交互发生在公共社交空间中。本文系统采样了三个月的交互数据，以调查Grok在X上如何、何时以及以何种效果被使用。在平台层面，我们发现Grok回应了62%的请求，大多数（51%）是英文，且参与度低，一半的Grok回应在48小时后获得20次或更少的浏览。我们还归纳性地构建了一个包含10种角色的分类体系，这些角色是LLM在调解社交互动中扮演的，并使用这些角色分析了X上与Grok的41,735次交互。我们发现Grok最常作为信息提供者，但与私密一对一设置中的LLM使用相反，它也承担与争议管理相关的角色，如真相仲裁者、倡导者和对手。最后，我们描述了提示Grok的X用户群体，发现他们自我表达的兴趣与模型在相应交互中承担的角色密切相关。我们的发现提供了X上人机交互的初步定量描述，以及对大语言模型在我们在线社交空间中可能扮演的多样化角色的更广泛理解。
英文摘要：
xAI's large language model, Grok, is called by millions of people each week on the social media platform X. Prior work characterizing how large language models are used has focused on private, one-on-one interactions. Grok's deployment on X represents a major departure from this setting, with interactions occurring in a public social space. In this paper, we systematically sample three months of interaction data to investigate how, when, and to what effect Grok is used on X. At the platform level, we find that Grok responds to 62% of requests, that the majority (51%) are in English, and that engagement is low, with half of Grok's responses receiving 20 or fewer views after 48 hours. We also inductively build a taxonomy of 10 roles that LLMs play in mediating social interactions and use these roles to analyze 41,735 interactions with Grok on X. We find that Grok most often serves as an information provider but, in contrast to LLM use in private one-on-one settings, also takes on roles related to dispute management, such as truth arbiter, advocate, and adversary. Finally, we characterize the population of X users who prompted Grok and find that their self-expressed interests are closely related to the roles the model assumes in the corresponding interactions. Our findings provide an initial quantitative description of human-AI interactions on X, and a broader understanding of the diverse roles that large language models might play in our online social spaces.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
