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| Title: | 以人工智慧方法探勘臺灣房市新聞之報導框架
Analyzing the Framing of Housing Policy News in Taiwan Using AI-Driven Approaches |
| Authors: | 陳彥云
Chen, Yen-Yun |
| Contributors: | 許志堅
Sheu, Jyh-Jian
陳彥云
Chen, Yen-Yun |
| Keywords: | 房市政策新聞
人工智慧
框架理論
大型語言模型
Housing policy news
Artificial Intelligence
Framing Theory
Large language model |
| Date: | 2025 |
| Issue Date: | 2025-03-03 14:49:58 (UTC+8) |
| Abstract: | 近年來，隨著高房價問題的延續，臺灣政府接連推出多項房地產政策，以維持市場穩定。儘管許多研究探討政策的有效性，很少研究觸及政策傳播層面，致使公眾接收到的政策資訊為何無從得知。
由於市場資訊不對稱的特性，房市參與者和大眾高度依賴媒體提供的資訊，這一依賴在政策變動時尤其顯著，使媒體幾乎成為政策的主要解釋者。有鑑於此，本研究以近六年臺灣新聞媒體之房市新聞進行報導框架之分析，運用基於提示工程的人工智慧方法，更有效率且深入地分析大量新聞文本，考察媒體在不同情境下使用的敘事。
根據研究結果，媒體在房地產政策報導中呈現顯著的差異。此差異不僅體現在大眾媒體和房地產專業媒體的報導取向方面，也反映在媒體報導不同主旨政策的敘事著重。通過對報導文本的審視，研究發現房地產政策新聞的建構主要由悲觀敘事主導。在資訊來源上仰賴官方、專家等權威的話語，且常將政策形容為潛在問題，強調政府在其中的權責。
藉由分析臺灣房市政策之新聞文本，本研究探索社會科學研究的新興途徑，亦深入了解新聞報導在房市政策溝通中扮演的角色。期研究結果能為相關政策制定者及關心住房議題的民眾提供實務參考，並為後續相關研究奠定基礎。
In response to persistent housing unaffordability, the Taiwanese government has introduced a series of housing policies to stabilize the market. While these policies' effectiveness has been widely studied, their communication mechanisms remain underexplored, leaving the public's access to policy information largely unclear.
Due to the structural asymmetry of market information, real estate stakeholders and the public rely heavily on media coverage, particularly during policy shifts, making the media a primary interpreter of policy measures. Against this backdrop, this study conducts a framing analysis of real estate news coverage in Taiwanese media over the past six years. By employing AI-driven prompt engineering, this study enables an efficient, in-depth analysis of a large corpus of news discourse, examining media narratives across different contexts.
The analysis reveals significant discrepancies in how media outlets portray housing policies. These discrepancies are evident in the divergent news frame of mass media and industry-specific outlets and the varying narrative emphases across different policies. A textual analysis of news reports indicates that housing policy news is primarily framed through a pessimistic lens, with media narratives predominantly shaped by authoritative sources such as government officials and experts. Additionally, policies are frequently depicted as sources of concern, emphasizing governmental responsibilities and accountability.
By integrating artificial intelligence into media analysis, this study explores an emerging methodological approach in social science research while deepening the understanding of media's role in housing policy communication. Future research can build on these findings to explore the intersection of media framing, policy discourse, and public perception more. |
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| Description: | 碩士
國立政治大學
傳播學院傳播碩士學位學程
110464006 |
| Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0110464006 |
| Data Type: | thesis |
| Appears in Collections: | [傳播學院傳播碩士學位學程] 學位論文
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