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| Title: | 「台版ChatGPT」發展研究:探索TAIDE採用與公眾意見
The development of the 'Taiwanese ChatGPT': Exploring public opinions of TAIDE adoption |
| Authors: | 饒珮琪
Jao, Pei-Chi |
| Contributors: | 林翠絹
Lin, Tsui-Chuan
饒珮琪
Jao, Pei-Chi |
| Keywords: | 生成式AI
台版ChatGPT
TAIDE
公眾意見
情感分析
創新擴散理論
活動系統框架
Generative AI
Taiwanese ChatGPT
TAIDE
Public opinion
Sentiment Analysis
Rogers’ Diffusion of Innovation (DOI) Theory
Activity System Framework |
| Date: | 2024 |
| Issue Date: | 2024-11-01 11:02:59 (UTC+8) |
| Abstract: | 台灣的生成式人工智慧（GenAI）應用尚處於早期階段。由台灣的國家科學及技術委員會發起的「可信任生成式AI對話引擎 (TAIDE)」是使用繁體中文和具台灣文化特色內容訓練的大型語言模型（LLM）。發展TAIDE的目標是建立一個本土的繁體中文語言模型，以對抗中國簡體中文模型中隱含的意識形態和文化偏見的主導地位。本研究運用創新擴散理論（Rogers，2003）和活動系統理論（Nah et al.，2023）結合的分析框架，從多方利害關係人和網路輿論的角度檢視TAIDE的發展。混合方法研究包括專家訪談和社群媒體資料情緒分析。前者訪問了 TAIDE 開發者和組織採用者，探討模型的特徵、外部因素以及採用和試用過程中的挑戰。後者針對人工智慧相關的 Facebook 討論社團及 PTT 論壇中，針對 TAIDE 的討論內容進行情緒分析。
專家訪談顯示，公共和私營部門組織都處於採用的初始階段（即議題設定階段和合理化/適應階段），但尚未正式採用 TAIDE。除了處理繁體中文的能力之外，確保資料安全性和地端運算的客製化功能是該模型的關鍵優勢，儘管其使用者介面與使用的複雜性帶來了挑戰。對於 TAIDE 的特點，受訪者認為「可客製化」和「低運算成本」是組織採用的關鍵相對優勢。但其介面不易用、下載與使用方式複雜，需要專業的AI服務團隊協助採用。 TAIDE 模式對台灣文化和繁體中文的關注與組織價值觀一致。這些因素對於組織採用此模型的決定至關重要。
關於TAIDE計畫的社群媒體輿情分析涵蓋了兩個時期的網路討論。在TAIDE模型正式發布之前，Facebook的討論主要以中性至正面的情緒推廣TAIDE計畫，而PTT的討論則基本上持負面態度，批評政府對資金的處理方式。 TAIDE模型正式發表後，Facebook內容轉向技術面和應用程式方面的討論，正面情緒略有上升。然而，PTT 討論仍然很具批判性，人們對 TAIDE 的有效性和資源管理持續持懷疑態度。
訪談和輿情分析的結果揭示了不同利害關係人的不同看法。從社群媒體輿論分析，有人表示支持「台灣ChatGPT」的發展，也有人質疑該計畫的投資。相較之下，TAIDE模型開發人員強調，該計畫對於確保大型語言模型的繁體中文內容品質、資料安全和組織的模型客製化需求是必要的。社群媒體情緒分析顯示公眾看法存在分歧，Facebook 表現出中性至正面的情緒，而 PTT 仍然對政府主導的計畫持批評態度。 Facebook 用戶支援 TAIDE 的技術潛力，而 PTT 用戶則批評政府支出和效率低下。儘管組織採用者讚揚了 TAIDE 的實用性，但對其長期可持續性和傳播的擔憂仍然存在。彌合利害關係人和公眾認知之間的差距對於持續採用和支持至關重要。
關鍵字：生成式人工智慧、台灣ChatGPT、TAIDE、公眾意見、情感分析、創新擴散（DOI）理論、活動系統框架
Generative AI (GenAI) adoption in Taiwan is in its early stages. "Trustworthy AI Dialogue Engine (TAIDE)," initiated by Taiwan’s National Science and Technology Council, is characterized by a Large Language Model (LLM) trained with the traditional Chinese language and Taiwanese cultural nuances. The goal of developing TAIDE is to establish a home ground traditional Chinese LLM model to counter the dominance of the ideological and cultural biases embedded in China’s simplified Chinese models. This study applies an analytical framework integrating the Diffusion of Innovation (DOI) Theory (Rogers, 2003) and the Activity System theory (Nah et al., 2023) to examine TAIDE’s development from the perspectives of multi- stakeholders and online public opinion. The mixed method research encompasses expert interviews and social media data sentiment analysis. The former interviewed TAIDE developers and organizational adopters to explore the model's characteristics, external factors, and challenges during adoption and trials. The latter analyzes the sentiments in AI-related Facebook groups and PTT forums.
The expert interviews show that both public and private sector organizations are in the initial stage of adoption (i.e. agenda setting and matching), but not yet implementing TAIDE. Apart from the ability to process traditional Chinese, ensuring data security and customization function from on-premise computing feature were key advantages of the model, though its user interface and complexity posed challenges. With respect to TAIDE’s characteristics, the interviewees identified "customizability" and "low computing cost" as key relative advantages for organizational adoption. However, its interface is not easy to use and is complex to download, which relies on professional AI service teams to assist the adoption. The TAIDE model’s focus on Taiwanese cultures and the Traditional Chinese language was compatible with organizational values. These factors have been crucial to the organization's decision to adopt the model.
The analysis on social media public opinions about TAIDE project covers two periods of online discussion. Before the official release of the TAIDE model, Facebook discussions focused on promoting the TAIDE project with neutral to positive sentiments, while PTT discussions were largely negative, criticizing the government’s handling of funds. After the official release of the TAIDE model, Facebook content shifted to technical aspects and applications, showing a slight increase in positive sentiment. However, PTT discussions remained critical, with continued skepticism about TAIDE’s effectiveness and resource management.
The results of the interview and public opinion analysis revealed different views from different stakeholders. From the analysis of public opinion on social media, some expressed the support for the development of “Taiwanese ChatGPT”, while others questioned the investment in the project. In contrast, the TAIDE model developer stressed that the project was necessary for ensuring Traditional Chinese content quality in LLMs, data security, and model customization needs in organizations. Social media sentiment analysis revealed divergent public perceptions, with Facebook showing neutral to positive sentiments and PTT remaining critical of the government- led project. Facebook users supported TAIDE’s technical potential, while PTT users criticized government spending and inefficiencies. Although organizational adopters have praised TAIDE’s usefulness, concerns about its long-term sustainability and diffusion remain. It is essential to bridging the gap between stakeholders and public perceptions is essential for sustained adoption and support.
Keywords: Generative AI, Taiwanese ChatGPT, TAIDE, Public opinion, Sentiment Analysis, Rogers’ Diffusion of Innovation (DOI) Theory, Activity System Framework |
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| Description: | 碩士
國立政治大學
全球傳播與創新科技碩士學位學程
111ZM1001 |
| Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0111ZM1001 |
| Data Type: | thesis |
| Appears in Collections: | [全球傳播與創新科技碩士學位學程] 學位論文
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