当前位置: X-MOL 学术Commun. Res. Practice › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
A generalisable model for frame identification: towards an integrative approach
Communication Research and Practice ( IF 1.2 ) Pub Date : 2020-05-02 , DOI: 10.1080/22041451.2020.1759925
Elaine Xu 1
Affiliation  

ABSTRACT

This paper presents a general model for identifying frames in texts or messages, and for delineating their characteristics and communicative structures. Integrating ideas and methods from qualitative content analysis, semantic network analysis, and thematic analysis, the model is based on an inductive approach to data condensation and abstraction; it enables the conceptualisation of issue-specific as well as generic frames. The analytic procedures entailed by the model are outlined using examples from a broader study of framing practices in charitable fundraising campaigns. Findings from the study are discussed to illustrate how the model can enhance the trustworthiness and generalisability of frame-based research. Further applications and potential limitations of the model are also discussed.



中文翻译:

框架识别的通用模型:朝着综合方法迈进

摘要

本文提出了一种通用模型,用于识别文本或消息中的框架,并描述其特征和交流结构。该模型融合了定性内容分析,语义网络分析和主题分析的思想和方法,基于对数据压缩和抽象的归纳方法。它支持对特定问题以及通用框架的概念化。该模型所包含的分析程序使用慈善募捐活动中对框架实践的更广泛研究中的示例进行了概述。讨论了该研究的结果,以说明该模型如何增强基于框架的研究的可信赖性和通用性。还讨论了该模型的其他应用和潜在局限性。

更新日期:2020-05-02
down
wechat
bug