Action Research on Improving Webnovel User Loyalty - Based on the Successful Experience of Jinjiang Literature City

HRMARS - This study examines how to increase user loyalty on the WebNovel platform by improving translation quality, cultural identity, and website familiarity. By analyzing the challenges faced by WebNovel (e.g., content homogenization, inconsistent translation quality, insufficient cultural adaptation, and user experience problems), this study proposes corresponding optimization strategies, including the combination of AI translation and human editing, cultural localization, multi-language support, and website navigation optimization. The feasibility and effectiveness of these strategies were verified through expert audits and user feedback surveys. The results show that most of the strategies are recognized by experts and users, especially in terms of translation quality improvement and website optimization. However, some users expressed caution about over-localization adjustments and the accuracy of AI translations. This study provides WebNovel with suggestions for strategies to improve user loyalty and provides a reference for future optimization of similar platforms.

Authors

Publication Details

Journal
International Journal of Academic Research in Business and Social Sciences
Published
2026-02-23
DOI
https://doi.org/10.6007/ijarbss/v16-i2/27772
Primary Topic
Translation Studies and Practices
Type
article
Field-Weighted Citation Impact
0.00
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article

Action Research on Improving Webnovel User Loyalty - Based on the Successful Experience of Jinjiang Literature City

Zhang Min, Fauziah Sh. Ahmad
International Journal of Academic Research in Business and Social Sciences
Translation Studies and Practices
article

Action Research on Improving Webnovel User Loyalty - Based on the Successful Experience of Jinjiang Literature City

Zhang Min, Fauziah Sh. Ahmad
article en

Abstract

HRMARS - This study examines how to increase user loyalty on the WebNovel platform by improving translation quality, cultural identity, and website familiarity. By analyzing the challenges faced by WebNovel (e.g., content homogenization, inconsistent translation quality, insufficient cultural adaptation, and user experience problems), this study proposes corresponding optimization strategies, including the combination of AI translation and human editing, cultural localization, multi-language support, and website navigation optimization. The feasibility and effectiveness of these strategies were verified through expert audits and user feedback surveys. The results show that most of the strategies are recognized by experts and users, especially in terms of translation quality improvement and website optimization. However, some users expressed caution about over-localization adjustments and the accuracy of AI translations. This study provides WebNovel with suggestions for strategies to improve user loyalty and provides a reference for future optimization of similar platforms.

International Journal of Academic Research in Business and Social SciencesVol. 16(2)
Openalex Percentile: Top 47%
Translation Studies and Practices
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