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Trust Incident Account Model: Preliminary Indicators for Trust Rhetoric and Trust or Distrust in Blogs

机译:信任事件账户模型:信任言论和信任或信任或不信任的初步指标

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This paper defines a concept of trust incident accounts as verbal reports of empirical episodes in which a trustor has reached a state of positive or negative expectations of a trustee's behavior under associated risks. Such expectations are equated to trust and distrust, correspondingly, and present a sharp contrast with hypocritical use of trust rhetoric with ulterior motives such as an attempt to manipulate readers or gain trustworthiness. Distinguishing the three: trust, distrust, and trust rhetoric, is formulated as a new challenge in sentiment analysis and opinion-mining. Based on a preliminary exploration of trust narratives in blogs, 14 categories of textual indicators were identified manually. The finer-grain analytical model of trust incident accounts is proposed to include 12 information extraction frame components: trustor, trustee, source, textual clue, trust valence, risks, reasons, actions, trustor-trustee relationship, narrow context, broad domain, and complements. The study draws a cross-disciplinary theoretical bridge from social science and information technology trust literature to opinion-mining, and emphasizes the value of understanding trust in longer-term social relations.
机译:本文定义了信任事件账户的概念,作为对经验事件的口头报告,其中信托人已在相关风险下达到受托人行为的积极或负面期望的状态。这种期望与相应的信任和不信任,并呈现与对别有用夫的信任言论的虚伪对比,例如试图操纵读者或获得可靠性。区分三:信任,不信任和信任言论,被制定为情绪分析和意见采矿中的新挑战。基于博客中信任叙述的初步探索,手动确定了14个类别的文本指标。建议将信赖事件账户的更精细的谷物分析模型包括12个信息提取框架组件:可信人,受托人,来源,文本线索,信任价,风险,原因,行动,克制者 - 受托人关系,狭隘的上下文,广域和广域补充。该研究吸引了一个来自社会科学和信息技术信任文献的跨学科理论桥梁,以宣传挖掘,并强调了解信任在长期社会关系中的价值。

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