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This study employed a thinking-set priming paradigm to examine how thinking levels (analytical/heuristic) affect truthfulness judgments of virtual videos (AI-generated/normal) on Douyin. A 2 × 2 × 2 mixed-design experiment (N = 48 college students) revealed that: (1) The analytical group showed significantly higher accuracy than the heuristic group; (2) Accuracy for AI-generated videos was significantly lower than for normal videos; (3) Crucially, under heuristic thinking, accuracy for AI-generated videos (especially true news) sharply declined, whereas analytical thinking eliminated this dis-advantage. These findings demonstrate that deep thinking enhances discernment of AI video authenticity, effectively mitigating virtuality-induced interference.

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The Impact of Thinking Levels and the Virtual Nature of Online Videos on Individuals’ Judgment of Truth and Falsity

  • 会议论文

  • 发表日期：

    2026年

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  • Yu Huang,
  • Ting Xue,
  • Yuhua Wang,
  • Xinru Wu,
  • Dimeng Wu

摘要

This study employed a thinking-set priming paradigm to examine how thinking levels (analytical/heuristic) affect truthfulness judgments of virtual videos (AI-generated/normal) on Douyin. A 2 × 2 × 2 mixed-design experiment (N = 48 college students) revealed that: (1) The analytical group showed significantly higher accuracy than the heuristic group; (2) Accuracy for AI-generated videos was significantly lower than for normal videos; (3) Crucially, under heuristic thinking, accuracy for AI-generated videos (especially true news) sharply declined, whereas analytical thinking eliminated this dis-advantage. These findings demonstrate that deep thinking enhances discernment of AI video authenticity, effectively mitigating virtuality-induced interference.