Multi-criteria Evaluation of Rumor Refuting Platform’s Refuting Capacity with Hesitant Fuzzy Judgments

Li, Zongmin; Zhao, Yanli; Hajiyev, Asaf

doi:10.1007/978-3-030-79203-9_5

Cited by 1 publication

(2 citation statements)

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“…There are also some scholars who specialize in researching rumor-busting platforms. Zongmin Li et al, establish an indicator system of rumor refuting capacity, evaluating the rumor refuting platform's refuting capacity with hesitant fuzzy judgments [24].…”

Section: Introductionmentioning

confidence: 99%

“…The index weight is an essential multi attribute parameter that has a direct impact on decision-making accuracy. Thus, the analytic hierarchy process (AHP) method which combines triangular fuzzy number is applied to determine the index weight, creating a more precise representation of the link between criterion and alternatives while calculating the weightage of each criteria (Li et al, 2021) [21]. Then, use intuitive fuzzy number method to represent the information of the two comparisons of qualitative indicators [5].…”

Section: Introductionmentioning

confidence: 99%

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

Zhang¹,

Zhao²

2022

Proceedings of the 2022 3rd International Conference on Management Science and Engineering Management (ICMSEM 2022)

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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.

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Section: Introductionmentioning

confidence: 99%