Research on the Effect of Anti-Piracy Policy on Online Novel Platforms

Data from five major categories of Qidian Chinese websites from October 2021 to December 2022. (Fantasy, Urban, Qihuan, Martial Arts Hero, Xianxia) Panel data of the top 50 novels in the monthly vote list, using the staged Difference-in-Differences (DID). At the same time, the entire time series is evenly divided into five stages: before the policy, at the beginning of the policy period, in the middle of the policy period, at the end of the policy period, and after the policy. Through regression analysis, it can be seen that the anti-piracy policy has a significant negative impact on the number of monthly votes of the treatment group novels, and this impact will continue to increase over time; different types of novels respond to the policy to different degrees, among which fantasy and fairy tale novels are the most negatively impacted, and after the implementation of the policy, the trend of the number of monthly votes in the treatment group and the control group will gradually diverge. The above conclusions are of great significance for formulating anti-piracy strategies for online literature platforms and the creative strategies of online novel content creators.

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-11-13
DOI
https://doi.org/10.1051/shsconf/202522504025/pdf
Primary Topic
Copyright and Intellectual Property
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on the Effect of Anti-Piracy Policy on Online Novel Platforms

Springer Link (Chiba Institute of Technology)
Copyright and Intellectual Property
article

Research on the Effect of Anti-Piracy Policy on Online Novel Platforms

article en

Abstract

Data from five major categories of Qidian Chinese websites from October 2021 to December 2022. (Fantasy, Urban, Qihuan, Martial Arts Hero, Xianxia) Panel data of the top 50 novels in the monthly vote list, using the staged Difference-in-Differences (DID). At the same time, the entire time series is evenly divided into five stages: before the policy, at the beginning of the policy period, in the middle of the policy period, at the end of the policy period, and after the policy. Through regression analysis, it can be seen that the anti-piracy policy has a significant negative impact on the number of monthly votes of the treatment group novels, and this impact will continue to increase over time; different types of novels respond to the policy to different degrees, among which fantasy and fairy tale novels are the most negatively impacted, and after the implementation of the policy, the trend of the number of monthly votes in the treatment group and the control group will gradually diverge. The above conclusions are of great significance for formulating anti-piracy strategies for online literature platforms and the creative strategies of online novel content creators.

Springer Link (Chiba Institute of Technology)
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Copyright and Intellectual Property
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