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| October 2026 |
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78 |
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| 專輯論文Special Issue Articles |
| 人工智能生成聲明、社會規範提示與用戶偽科學短視頻核查意願：一項實驗性調查研究 |
| AI-Generated Source Declarations, Social Norm Cues, and Users’ Willingness to Verify Pseudoscientific Short Videos: An Experimental Study |
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| 作者 |
張明新、符邁予 |
| Author |
Mingxin ZHANG, Maiyu FU |
| 關鍵詞 |
人工智能、偽科學信息、助推理論、情境問題解決理論、助推－情境問題解決理論 |
| Keywords |
artificial intelligence, pseudoscience information, nudge theory, situational problem-solving theory, nudge-situational problem-solving theory |
| 摘要 |
人工智能（artificial intelligence, AI）逐漸嵌入到科學知識的生產過 程，但存在被用於生產偽科學信息、污染信息環境的風險。為加強AI生成內容的治理，提高公眾對AI生成偽科學短視頻的核查能動性，此研究基於助推理論和情境問題解決理論，構建助推－情境問題解決理論，並通過一項實驗性調查探索如何通過信息助推設計（信息來源聲明與社會規範提示）來提高個人的信息核查意願。研究表明，相較於人類專家發佈的短視頻，公眾對AI生成的短視頻具有更高的問題識別和信息核查意願。研究未能證實社會規範提示對問題識別與信息核查意願的影響，但證實了信息來源聲明對信息核查意願的影響，問題識別在其中具有中介作用，參與識別在問題識別和信息核查意願之間具有調節作用。研究通過整合既有的理論框架，創新性地建構了助推－情境問題解決理論模型，揭示了信息助推設計對信息核查意願的影響機制，為促進公眾積極參與AI時代的網絡內容治理提供了理論啟示。 |
| Abstract |
Artificial intelligence (AI) is increasingly embedded in the process of scientific knowledge production, which raises concerns about its potential use in generating pseudoscientific information and polluting the information environment. To strengthen the governance of AI-generated content and enhance public engagement in verifying pseudoscientific short videos, this study proposes a Nudge-Situational Problem-Solving theoretical framework by integrating nudge theory and the situational theory of problem solving. An experiment was conducted to explore how information nudges (i.e., source declarations and social norm cues) can improve individuals’ willingness to verify information. The results showed that social norm cues did not significantly affect problem recognition and information verification willingness. However, source declarations significantly influenced individuals’ willingness to verify information, with problem recognition playing a mediating role. Moreover, compared with videos posted by human experts, AI-generated videos elicited higher levels of problem recognition and verification willingness. The moderation analysis further revealed that participation recognition moderated the impact of problem recognition on verification willingness, whereas constraint recognition did not show a significant moderating effect. This study advances theoretical development by integrating nudge theory with the situational theory of problem solving, revealing the mechanisms by which information nudges influence verification willingness. The findings provide theoretical guidance for promoting active public engagement in content governance in the AI era, and offer practical implications to mitigate the risks of AI-generated pseudoscientific information.
本文引用格式：
張明新、符邁予（2026）。〈人工智能生成聲明、社會規範提示與用戶偽科學短視頻核查意願：一項實驗性調查研究〉。《傳播與社會學刊》，第78期，頁47–77。
Citation of This Article:
Zhang, M., & Fu, M. (2026). AI-generated source declarations, social norm cues, and users’ willingness to verify pseudoscientific short videos: An experimental study. Communication and Society, 78, 47–77. |
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