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Understanding Experts' and Novices' Expertise Judgment of Twitter Users

机译:了解专家和新手的专业知识判决的推特用户

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Judging topical expertise of micro-blogger is one of the key challenges for information seekers when deciding which information sources to follow. However, it is unclear how useful different types of information are for people to make expertise judgments and to what extent their background knowledge influences their judgments. This study explored differences between experts and novices in inferring expertise of Twitter users. In three conditions, participants rated the level of expertise of users after seeing (1) only the tweets, (2) only the contextual information including short biographical and user list information, and (3) both tweets and contextual information. Results indicated that, in general, contextual information provides more useful information for making expertise judgment of Twitter users than tweets. While the addition of tweets seems to make little difference, or even add nuances to novices' expertise judgment, experts' judgments were improved when both content and contextual information were presented.
机译:判断微博客的主题专业知识是当决定要遵循的信息来源时,信息寻求者的关键挑战之一。然而,目前尚不清楚有益于人员如何做出专业知识的判决以及他们的背景知识的判断程度如何影响他们的判断。本研究探讨了专家与新手之间推断推断用户的专业知识之间的差异。在三个条件下,参与者在看到(1)之后仅评估用户的专业知识水平(1)仅推文,(2)仅包括短传记和用户列表信息的上下文信息,以及(3)推文和上下文信息。结果表明,通常,上下文信息提供了更有用的信息,以便对Twitter用户的专业知识判断而不是推文。虽然增加了推文似乎几乎没有差异,但甚至在新手的专业知识判决中增加了细微差别,当提出了两种内容和上下文信息时,专家的判决得到了改善。

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