Choosing Units of Analysis in Temporal Discourse
Choosing Units of Analysis in Temporal Discourse
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DOI：
10.1007/978-3-030-93859-8_6
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
Amanda Barany;M. Philips;A. J. T. Kawakubo;J. Oshima
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文献类型：
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作者：
Amanda Barany;M. Philips;A. J. T. Kawakubo;J. Oshima
尽管定量人种学方法有望可视化随时间变化的轨迹（时间分析），但需要进一步的工作来制定准确代表现象的策略。这尤其适用于识别话语的关系上下文，这包括创建时间单位，将数据行分组以进行解释。虽然对话语进行深入的解释性审查可以作为识别主题时间单位的“黄金标准”，但这种方法冗长乏味，可能不适合大型数据集。增量方法，例如为每10行按时间顺序排列的数据创建一个新单元，适用于较大的数据集，但可能缺乏细微差别。这项工作介绍了知识构建话语浏览器（KBDeX），它使用社会语义网络分析计算识别关系单位，允许基于话语特征识别时间单位，这些特征可以系统地应用于更大的数据集。为了检验每种方法的效用，用增量法和计算法得出的时间单位创建了来自七个国家的COVID-19新闻稿的认知网络，然后将其与解释法进行比较。结果表明，在某些情况下，KBDeX和增量网络方法更接近“金标准”解释方法。对两个国家的发展轨迹进行了更深入的研究，以了解每种方法何时可能是最合适的。该工作最后讨论了每种方法的支持和约束，以及它们可能有用的上下文。
Despite the promise of quantitative ethnographic approaches for visualizing the trajectories of change over time (temporal analysis) further work is needed to develop strategies for accurately representing phenomena. This holds especially true for identifying the relational context of discourse, which includes the creation of time units that group lines of data for the purpose of interpretation. While in-depth interpretive review of discourse may serve as the ‘gold standard’ for identification of thematic time units, this approach is tedious and may not be appropriate for larger datasets. Incremental approaches, such as creating a new unit for every ten lines of chronological data, are functional for larger datasets, but may lack nuance. This work introduces the Knowledge Building Discourse Explorer (KBDeX), which computationally identifies relational units using socio-semantic network analysis, allowing for the identification of time units based on characteristics of the discourse that can be systematically applied to larger datasets. To examine the utility of each approach, epistemic networks of COVID-19 press releases from seven countries were created with time units derived from the incremental and computational approaches, which were then compared to the interpretive approach. Results indicated that KBDeX and incremental network means were closer to the ‘gold standard’ interpretive approach in some instances. Two countries’ trajectories are examined in greater depth to understand when each approach might be most appropriate. The work concludes with a discussion of the affordances and constraints of each approach, and contexts in which they may be useful.