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Semantic mapping of discourse and activity, using Habermas's theory of communicative action to analyze process

机译:话语和活动的语义映射,使用哈贝马斯的交往行为理论来分析过程

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Our primary objective is evaluation of quality of process. This is addressed through semantic mapping of process. We note how this is complementary to the primacy of output results or products. We use goal-oriented discourse as a case study. We draw benefit from how social and political theorist, Jurgen Habermas, uses what was termed "communicative action". An orientation in Habermas's work, that we use, is analysis of communication or discourse. For this, we take Twitter social media. In our case study, we map the discourse semantically, using the correspondence analysis platform for such latent semantic analysis. This permits qualitative and quantitative analytics. Our case study is a set of eight carefully planned Twitter campaigns relating to environmental issues. The aim of these campaigns was to increase environmental awareness and behaviour. Each campaign was launched by an initiating tweet. Using the data gathered in these Twitter campaigns, we sought to map them, and hence to track the flow of the Twitter discourse. This mapping was achieved through semantic embedding. The semantic distance between an initiating act and the aggregate semantic outcome is used as a measure of process effectiveness.
机译:我们的主要目标是评估过程质量。这是通过过程的语义映射解决的。我们注意到这与产出结果或产品的首要地位互补。我们使用面向目标的话语作为案例研究。我们从社会和政治理论家尤尔根·哈贝马斯(Jurgen Habermas)如何使用所谓的“交流行动”中受益。我们使用的哈贝马斯作品的取向是对交流或话语的分析。为此,我们采用Twitter社交媒体。在我们的案例研究中,我们使用对应分析平台对潜在的语义分析进行语义映射。这样就可以进行定性和定量分析。我们的案例研究是与环境问题相关的八个精心策划的Twitter活动的集合。这些运动的目的是提高环境意识和行为。每个活动都是通过发起推文发起的。利用这些Twitter活动中收集的数据,我们试图绘制它们的地图,从而跟踪Twitter话语的流程。这种映射是通过语义嵌入实现的。启动行为和总体语义结果之间的语义距离用作过程有效性的度量。

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