Article: Multimodal perception-based assessment of value conduction deviation in short-form ideological and political videos Journal: International Journal of Information and Communication Technology (IJICT) 2026 Vol.27 No.83 pp.19 - 40 Abstract: Short videos have become a dominant medium for ideological and political education among young people, yet many convey hidden value biases through mismatched visual, acoustic and textual information, silently compromising educational effectiveness. To automatically detect this value conduction deviation, this paper proposes the multimodal value deviation network integrating slow fast, wave-to-vector 2.0 and bidirectional encoder representations from transformers with a modality-gated attention mechanism. This paper introduces a modality contribution regularisation loss and a contrastive alignment loss to enhance detection accuracy and interpretability. After re-annotating the visual-audio-text values dataset under the Chinese ideological education context, our method achieves an F1 score of 0.862 and an area under the curve of 0.904 on the test set, outperforming the best baseline by 11.2% in F1 score with statistically significant improvement. The framework also identifies the dominant modality causing the deviation, demonstrating practical value for automated content moderation. Inderscience Publishers - linking academia, business and industry through research

Title: Multimodal perception-based assessment of value conduction deviation in short-form ideological and political videos

Authors: Shiyu He

Addresses: Department of Economics, Tongling University, Tongling, 244000, China

Abstract: Short videos have become a dominant medium for ideological and political education among young people, yet many convey hidden value biases through mismatched visual, acoustic and textual information, silently compromising educational effectiveness. To automatically detect this value conduction deviation, this paper proposes the multimodal value deviation network integrating slow fast, wave-to-vector 2.0 and bidirectional encoder representations from transformers with a modality-gated attention mechanism. This paper introduces a modality contribution regularisation loss and a contrastive alignment loss to enhance detection accuracy and interpretability. After re-annotating the visual-audio-text values dataset under the Chinese ideological education context, our method achieves an F1 score of 0.862 and an area under the curve of 0.904 on the test set, outperforming the best baseline by 11.2% in F1 score with statistically significant improvement. The framework also identifies the dominant modality causing the deviation, demonstrating practical value for automated content moderation.

Keywords: value conduction deviation; multimodal perception; short video; ideological and political education; interpretable assessment.

DOI: 10.1504/IJICT.2026.155124

International Journal of Information and Communication Technology, 2026 Vol.27 No.83, pp.19 - 40

Received: 03 Apr 2026
Accepted: 23 May 2026
Published online: 27 Jul 2026 *

Title: Multimodal perception-based assessment of value conduction deviation in short-form ideological and political videos

Keep up-to-date