Finding Frames With BERT: A Transformer-Based Approach to Generic News Frame Detection

IF 3 2区社会学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Social Science Computer Review Pub Date : 2025-05-20 DOI:10.1177/08944393251338396

Vihang Jumle, Mykola Makhortykh, Maryna Sydorova, Victoria Vziatysheva

引用次数: 0

Abstract

Framing is among the most extensively used concepts in the field of communication science. The availability of digital data offers new possibilities for studying how specific aspects of social reality are made more salient in online communication, but also raises challenges related to the scaling of framing analysis and its adoption to new research areas (e.g. studying the impact of artificial intelligence-powered systems on the representation of societally relevant issues). To address these challenges, we introduce a transformer-based approach for generic news frame detection in Anglophone online content. While doing so, we discuss the composition of the training and test datasets, the model architecture, and the validation of the approach and reflect on the possibilities and limitations of the automated detection of generic news frames.

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用BERT寻找帧：一种基于变换的通用新闻帧检测方法

框架是传播科学领域中使用最广泛的概念之一。数字数据的可用性为研究社会现实的特定方面如何在在线交流中变得更加突出提供了新的可能性，但也提出了与框架分析的规模及其对新研究领域的采用相关的挑战（例如，研究人工智能驱动系统对社会相关问题表示的影响）。为了解决这些挑战，我们引入了一种基于转换器的方法，用于英语在线内容的通用新闻框架检测。在此过程中，我们讨论了训练和测试数据集的组成、模型架构和方法的验证，并反思了自动检测通用新闻框架的可能性和局限性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Social Science Computer Review 社会科学-计算机：跨学科应用

CiteScore

9.00

自引率

4.90%

发文量

审稿时长

>12 weeks

期刊介绍： Unique Scope Social Science Computer Review is an interdisciplinary journal covering social science instructional and research applications of computing, as well as societal impacts of informational technology. Topics included: artificial intelligence, business, computational social science theory, computer-assisted survey research, computer-based qualitative analysis, computer simulation, economic modeling, electronic modeling, electronic publishing, geographic information systems, instrumentation and research tools, public administration, social impacts of computing and telecommunications, software evaluation, world-wide web resources for social scientists. Interdisciplinary Nature Because the Uses and impacts of computing are interdisciplinary, so is Social Science Computer Review. The journal is of direct relevance to scholars and scientists in a wide variety of disciplines. In its pages you''ll find work in the following areas: sociology, anthropology, political science, economics, psychology, computer literacy, computer applications, and methodology.