Title: SEM and fsQCA factors influencing social media users' anxiety

Authors: Xiaoping Liu

Addresses: School of Education Science, Neijiang Normal University, Neijiang 641112, China

Abstract: In order to solve the problems of low accuracy in determining the influencing factors of anxiety in traditional social media users, time-consuming analysis and large errors in calculating the weights of influencing factors, a social media user based on search engine marketing (SEM) and ask for qualitative comparative analysis (fsQCA) is proposed. An analysis method of the influencing factors of anxiety, the Higuchi algorithm (fractal dimension algorithm) is used to reduce the dimensionality of the social media users' anxiety representations to achieve preprocessing. Then, the consistency and coverage of the influencing factors through the fsQCA fuzzy set is determined, and the analysis of the influencing factors of social media user anxiety is realised. The experimental results show that the minimum error in calculating the weights of the social media users' anxiety influencing factors using the proposed method is about 0.51%, and the analysis is relatively time-consuming.

Keywords: search engine marketing; SEM; fsQCA; social media users; user anxiety.

DOI: 10.1504/IJWBC.2022.125499

International Journal of Web Based Communities, 2022 Vol.18 No.3/4, pp.238 - 248

Received: 01 Jun 2021
Accepted: 29 Sep 2021
Published online: 12 Sep 2022 *

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