Abstract: [Purpose/Significance] The phenomenon of information manipulation by platform enterprises utilizing their information resource provided by interaction design is widespread, having attracted extensive international attention. The validation of the impact of interaction design information manipulation can offer valuable insights for the formulation of platform governance strategies in China. [Design/Methodology] This paper defines the concept of information manipulation and categorizes the types of information manipulation strategies through interaction design. Then, taking the information manipulation phenomenon based on the design of "mark" on the trending topics of platform as the object, it introduces the Linear Influence Model to fit the diffusion behavior of social network, and adopts non-parametric method to demonstrate heat anomalies in the case of non-compliant marks. Forther more, it compares and analyzes multiple cases to confirm that heat anomalies are due to the influence of non-compliant marks, thus validating the effectiveness of the information manipulation. [Findings/Conclusion] The presence of information manipulation strategies through interaction design has been confirmed, the results of model simulation for expected trends and actual results indicate the subsequent impact of information manipulation, and comparative experimental analyses illustrate that information manipulation based on the interaction design may be responsible for the platform's topic heat anomalies. [Originality/Value] This paper provides a comprehensive review of the concept of information manipulation and various strategies for information manipulation through interaction design, and quantitatively analyzes the impact of these strategies. The empirical evidence that information manipulation through interaction design significantly influences users' behaviors provied in this paper offers valuable insights for promoting responsible platform development, government network governance, and related academic research.

Keywords: Information manipulation, Linear Influence Model, Interaction design, Platform governance, Internet ecological governance