Multi-criteria Evaluation of Social Media Platform’s Rumor Refuting Capacity Based on Fuzzy Theory and TOPSIS Method

DOI

10.2991/978-94-6463-038-1_21How to use a DOI?

Keywords

Social media platform; rumor refuting; FAHP; intuitive fuzzy number; TOPSIS

Abstract

The significance of dealing with internet rumors or false information on social media is expanding, especially when an unexpected crisis erupts. The promotion of social media’s rumor refuting capacity needs more attention. Based on this, in order to systematically evaluate the rumor refuting effect of social media platforms, so that platforms can find their own weaknesses and improve their operational capacity, this paper puts forward an evaluation system and evaluation methods for anti-rumor effect of social media platforms, and applies them to five mainstream social media platforms in China for evaluation and analysis. Suggestions are also given for social media platforms with relatively poor ratings to improve the effectiveness of rumor refutation. First, build the evaluation index system, use the analytic hierarchy process (AHP) method which combines triangular fuzzy number to determine the index weight, then divide the evaluation index into qualitative and quantitative indicators. For qualitative indicators, use intuitive fuzzy number set (IFNs) method to represent the information of the two comparisons of indicators. For quantitative indicators, collect real data and conduct standardized processing. Finally use TOPSIS method to evaluate the effectiveness of social media platform rumors, and get rankings. And, a sensitivity analysis will be performed to check the robustness of the final decision. Based on the results, relevant suggestions are given.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yijun Zhang
AU  - Xue Zhao
PY  - 2022
DA  - 2022/12/15
TI  - Multi-criteria Evaluation of Social Media Platform’s Rumor Refuting Capacity Based on Fuzzy Theory and TOPSIS Method
BT  - Proceedings of the 2022 3rd International Conference on Management Science and Engineering Management (ICMSEM 2022)
PB  - Atlantis Press
SP  - 213
EP  - 238
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-038-1_21
DO  - 10.2991/978-94-6463-038-1_21
ID  - Zhang2022
ER  -