Title: A method for evaluating confidence of social media information based on time series analysis

Authors: Qiru Zi; Maojia Hou; Qiang Gao

Addresses: Department of Media and Communication, Mianyang Teachers' College, Mianyang, 621000, China ' Department of Digital Media, Sichuan University of Culture and Arts, Mianyang, 621000, China ' College of Art, Cheongju University, Cheongju, 28502, South Korea

Abstract: In order to improve the accuracy of cross confidence assessment and shorten the time required for confidence assessment, this article proposes a social media information confidence assessment method based on time series analysis. Firstly, determine the evaluation indicators that affect the credibility of social media information. Then, quantify the evaluation indicators for the credibility of social media information. Finally, a confidence quantitative evaluation function is constructed using time series analysis, and a user information weight allocation matrix is used to configure the weight assignment scheme for each evaluation dimension. By quantitatively calculating the relative importance between various indicators in the comparison criteria layer, the user confidence is finally obtained. The experimental results show that the method proposed in this paper can effectively improve the accuracy and recall of confidence evaluation, with a FI value of 0.9, which verifies the effectiveness of the confidence evaluation method proposed in this paper.

Keywords: time series analysis; confidence level; social media; user topology information; weight allocation.

DOI: 10.1504/IJWBC.2025.145142

International Journal of Web Based Communities, 2025 Vol.21 No.1/2, pp.64 - 77

Received: 19 Jul 2023
Accepted: 07 Nov 2023
Published online: 21 Mar 2025 *

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