Matches in SemOpenAlex for { <https://semopenalex.org/work/W4295129483> ?p ?o ?g. }
- W4295129483 endingPage "102113" @default.
- W4295129483 startingPage "102113" @default.
- W4295129483 abstract "Motivated by the realistic demand of controlling the Internet public opinion risk caused by the local outbreak of COVID-19, this paper creatively proposes a COVID-19 local outbreak Internet public opinion risk grading research framework. The SMAA-FAHPSort II method combining Analytic Hierarchy Process Sort II (AHPSort II) method with Stochastic Multicriteria Acceptability Analysis (SMAA-2) method is introduced into this framework, to evaluate the Internet public opinion risk level of social media during the local outbreak of COVID-19. In addition, this framework is applied to a case of Internet public opinion risk evaluation on Microblog platform of China. According to the number of new cases per day in mainland China, this paper divides the period from May 7, 2020 to September 3, 2021 into seven stages. A total of more than 10,000 Microblog hot topics were collected, after screening and preprocessing, 5422 related topics are remained to help complete the Internet public opinion risk evaluation. The case study analysis results show that the number of days classified as moderate risk and above has reached more than 280. This proves that the local outbreak of COVID-19 will indeed increase the risk of Internet public opinion, and correlation analysis confirms that the level of public opinion risk is positively correlated with the severity of the epidemic in the real world. Furthermore, the effectiveness and advantages of the proposed method are verified by comparative analysis and sensitivity analysis. Finally, some effective public opinion management suggestions have been put forward. This paper can provide reference for the government to formulate or improve relevant strategies, and also has great significance for reducing the risk of Internet public opinion in social media." @default.
- W4295129483 created "2022-09-11" @default.
- W4295129483 creator A5006017388 @default.
- W4295129483 creator A5066342865 @default.
- W4295129483 creator A5079834386 @default.
- W4295129483 date "2022-11-01" @default.
- W4295129483 modified "2023-10-16" @default.
- W4295129483 title "How local outbreak of COVID-19 affect the risk of internet public opinion: A Chinese social media case study" @default.
- W4295129483 cites W1966434644 @default.
- W4295129483 cites W2041949587 @default.
- W4295129483 cites W2050591637 @default.
- W4295129483 cites W2063706244 @default.
- W4295129483 cites W2074826689 @default.
- W4295129483 cites W2075941199 @default.
- W4295129483 cites W2092355150 @default.
- W4295129483 cites W2161149459 @default.
- W4295129483 cites W2211668096 @default.
- W4295129483 cites W2249250821 @default.
- W4295129483 cites W2317263944 @default.
- W4295129483 cites W2325865112 @default.
- W4295129483 cites W2520483883 @default.
- W4295129483 cites W2522117000 @default.
- W4295129483 cites W2554238227 @default.
- W4295129483 cites W2775012906 @default.
- W4295129483 cites W2790166049 @default.
- W4295129483 cites W2794481475 @default.
- W4295129483 cites W2795508945 @default.
- W4295129483 cites W2799739577 @default.
- W4295129483 cites W2892779988 @default.
- W4295129483 cites W2903399640 @default.
- W4295129483 cites W2908471060 @default.
- W4295129483 cites W2910490931 @default.
- W4295129483 cites W2911331242 @default.
- W4295129483 cites W2950778219 @default.
- W4295129483 cites W2967931858 @default.
- W4295129483 cites W2985239331 @default.
- W4295129483 cites W2995844073 @default.
- W4295129483 cites W3004123850 @default.
- W4295129483 cites W3010408744 @default.
- W4295129483 cites W3015202183 @default.
- W4295129483 cites W3017661086 @default.
- W4295129483 cites W3021072089 @default.
- W4295129483 cites W3024743749 @default.
- W4295129483 cites W3035119815 @default.
- W4295129483 cites W3035329927 @default.
- W4295129483 cites W3035764297 @default.
- W4295129483 cites W3041853995 @default.
- W4295129483 cites W3048380702 @default.
- W4295129483 cites W3048414942 @default.
- W4295129483 cites W3083846691 @default.
- W4295129483 cites W3084569731 @default.
- W4295129483 cites W3089735026 @default.
- W4295129483 cites W3093893860 @default.
- W4295129483 cites W3097135864 @default.
- W4295129483 cites W3104583802 @default.
- W4295129483 cites W3107117805 @default.
- W4295129483 cites W3110075606 @default.
- W4295129483 cites W3110677091 @default.
- W4295129483 cites W3111147275 @default.
- W4295129483 cites W3111326700 @default.
- W4295129483 cites W3113790166 @default.
- W4295129483 cites W3121430869 @default.
- W4295129483 cites W3125313367 @default.
- W4295129483 cites W3133513431 @default.
- W4295129483 cites W3138115288 @default.
- W4295129483 cites W3157845886 @default.
- W4295129483 cites W3162405118 @default.
- W4295129483 cites W3168154622 @default.
- W4295129483 cites W3169398274 @default.
- W4295129483 cites W3174904485 @default.
- W4295129483 cites W3176554597 @default.
- W4295129483 cites W3183221431 @default.
- W4295129483 cites W3184572246 @default.
- W4295129483 cites W3185907450 @default.
- W4295129483 cites W3192946602 @default.
- W4295129483 cites W3197090291 @default.
- W4295129483 cites W3202647833 @default.
- W4295129483 cites W3203169984 @default.
- W4295129483 cites W3206115794 @default.
- W4295129483 cites W3210065914 @default.
- W4295129483 cites W3217076865 @default.
- W4295129483 cites W3217757238 @default.
- W4295129483 cites W4200443187 @default.
- W4295129483 cites W4247253011 @default.
- W4295129483 cites W4281991683 @default.
- W4295129483 doi "https://doi.org/10.1016/j.techsoc.2022.102113" @default.
- W4295129483 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36105882" @default.
- W4295129483 hasPublicationYear "2022" @default.
- W4295129483 type Work @default.
- W4295129483 citedByCount "5" @default.
- W4295129483 countsByYear W42951294832023 @default.
- W4295129483 crossrefType "journal-article" @default.
- W4295129483 hasAuthorship W4295129483A5006017388 @default.
- W4295129483 hasAuthorship W4295129483A5066342865 @default.
- W4295129483 hasAuthorship W4295129483A5079834386 @default.
- W4295129483 hasBestOaLocation W42951294831 @default.
- W4295129483 hasConcept C107029721 @default.
- W4295129483 hasConcept C108827166 @default.