超越左右之分:面向在线话语中意识形态分析的概念框架
A conceptual framework for ideology in online discourse beyond the left and right
Kenneth Joseph · Kim Williams · David Lazer
中文摘要
计算社会科学(computational social science, CSS)在研究在线话语时,主要沿单一左右党派轴线来操作化意识形态。这一做法遮蔽了人们如何理解与参与种族、气候、性别及其他领域更为具体的意识形态形态。论文提出一个将意识形态视为多层社会认知概念网络的框架,并阐述该概念模型如何与在线话语研究相衔接。该框架澄清了意识形态如何与框架化等社会过程共同在话语中呈现,并论证了应在何时以及为何将价值观、信念等多重概念纳入同一分析。整体上,它在在线话语研究方法与意识形态理论之间架起桥梁,使双方都能受益于更丰富的社会话语分析。虽然该工作以理论为主,但在样本数据上给出了框架的具体操作化示例,以展示其在真实数据中的一种应用方式。
关键要点
- 01问题:现有计算社会科学研究仅沿单一左右党派轴线操作化意识形态,无法捕捉种族、气候、性别等更具体的意识形态形态。
- 02方法:提出将意识形态建模为多层社会认知概念网络,并将其与在线话语研究及框架化等社会过程相联结。
- 03方法:论证在研究中将价值观(values)与信念(beliefs)等多个相关概念联合分析的条件与必要性。
- 04意义:在话语分析方法与意识形态理论之间建立桥梁,使两个领域均能从中获益。
- 05验证:在样本数据上给出框架的具体操作化示例,展示其在真实数据中的一种可行用法。
解读
尚无解读。
原始英文摘要
arXiv:2603.18945v2 Announce Type: replace-cross Abstract: Computational social science (CSS) has largely operationalized ideology along a single left/right partisan axis when studying online discourse. This approach obscures how people interpret and engage with more specific ideological formations related to race, climate, gender, and other domains. We introduce a framework that instead conceptualizes ideology as a multi-level socio-cognitive concept network and then explain how this conceptual model of ideology can be linked to the study of online discourse. In doing so, our framework clarifies how ideology manifests in discourse alongside related social processes such as framing, and provides an argument for better understanding of when and why we might study multiple concepts, such as values and beliefs, together in one analysis. More broadly, it bridges methods used to study online discourse with ideology theory, enabling richer analyses of social discourse that benefit both fields. Although primarily theoretical, we provide a concrete operationalization of the framework on a sample of data, allowing us to show one example of how it can be used on real data.