Matches in SemOpenAlex for { <https://semopenalex.org/work/W4281755992> ?p ?o ?g. }
- W4281755992 endingPage "6751" @default.
- W4281755992 startingPage "6751" @default.
- W4281755992 abstract "The COVID-19 pandemic has demonstrated that social media can impact society both positively (e.g., keeping citizens connected and informed) and negatively (e.g., the deliberate spreading of misinformation). This study aims to examine the underlying mechanisms of the relationship between official social media accounts and the infodemic, experienced during the first wave of COVID-19 in China. A theoretical model is proposed to examine how official social media accounts affected the infodemic during this period. In total, 1398 questionnaire responses were collected via WeChat and Tencent QQ, two leading Chinese social media platforms. Data analysis was conducted using Partial Lease Squares Structural Equation Modeling (PLS-SEM), moderation effect analysis, and mediation effect analysis. Results indicate that the Information Quality (IQ) of Official social media accounts (β = −0.294, p < 0.001) has a significant negative effect on the infodemic. Mediation effect analysis revealed that both social support (β = −0.333, 95% Boot CI (−0.388, −0.280)) and information cascades (β = −0.189, 95% Boot CI (−0.227, −0.151)) mediate the relationship between IQ and the infodemic. Moderation effect analysis shows that private social media usage (F = 85.637, p < 0.001) positively moderates the relationship between IQ and the infodemic, while health literacy has a small negative moderation effect on the relationship between IQ and the infodemic. Our findings show that, in the context of Chinese media, official social media accounts act as a major source of information for influencing the infodemic through increasing social support and reducing information cascades for citizens." @default.
- W4281755992 created "2022-06-13" @default.
- W4281755992 creator A5013881064 @default.
- W4281755992 creator A5020545746 @default.
- W4281755992 creator A5078375839 @default.
- W4281755992 date "2022-05-31" @default.
- W4281755992 modified "2023-09-26" @default.
- W4281755992 title "How Official Social Media Affected the Infodemic among Adults during the First Wave of COVID-19 in China" @default.
- W4281755992 cites W1567491469 @default.
- W4281755992 cites W1963658303 @default.
- W4281755992 cites W1971039120 @default.
- W4281755992 cites W1977048606 @default.
- W4281755992 cites W1998511687 @default.
- W4281755992 cites W2004196287 @default.
- W4281755992 cites W2013608402 @default.
- W4281755992 cites W2026165926 @default.
- W4281755992 cites W2029775264 @default.
- W4281755992 cites W2038702827 @default.
- W4281755992 cites W2074364397 @default.
- W4281755992 cites W2082218098 @default.
- W4281755992 cites W2089115357 @default.
- W4281755992 cites W2095213893 @default.
- W4281755992 cites W2119861206 @default.
- W4281755992 cites W2135967238 @default.
- W4281755992 cites W2136082883 @default.
- W4281755992 cites W2138071797 @default.
- W4281755992 cites W2150545684 @default.
- W4281755992 cites W2151187076 @default.
- W4281755992 cites W2223470559 @default.
- W4281755992 cites W2307930991 @default.
- W4281755992 cites W2313274068 @default.
- W4281755992 cites W2337872002 @default.
- W4281755992 cites W2342472925 @default.
- W4281755992 cites W2757970914 @default.
- W4281755992 cites W2796287347 @default.
- W4281755992 cites W2889188750 @default.
- W4281755992 cites W2905811773 @default.
- W4281755992 cites W2924766942 @default.
- W4281755992 cites W2955829435 @default.
- W4281755992 cites W3005184674 @default.
- W4281755992 cites W3009506062 @default.
- W4281755992 cites W3011720761 @default.
- W4281755992 cites W3013830439 @default.
- W4281755992 cites W3013917522 @default.
- W4281755992 cites W3014333790 @default.
- W4281755992 cites W3015216621 @default.
- W4281755992 cites W3016373786 @default.
- W4281755992 cites W3017178742 @default.
- W4281755992 cites W3019083167 @default.
- W4281755992 cites W3022711197 @default.
- W4281755992 cites W3023286851 @default.
- W4281755992 cites W3023327873 @default.
- W4281755992 cites W3023645215 @default.
- W4281755992 cites W3035268925 @default.
- W4281755992 cites W3040568550 @default.
- W4281755992 cites W3041311242 @default.
- W4281755992 cites W3046698977 @default.
- W4281755992 cites W3048168126 @default.
- W4281755992 cites W3048561042 @default.
- W4281755992 cites W3048848247 @default.
- W4281755992 cites W3080880935 @default.
- W4281755992 cites W3083719831 @default.
- W4281755992 cites W3084216097 @default.
- W4281755992 cites W3087275016 @default.
- W4281755992 cites W3094229442 @default.
- W4281755992 cites W3094864976 @default.
- W4281755992 cites W3106333016 @default.
- W4281755992 cites W3109025656 @default.
- W4281755992 cites W3110382843 @default.
- W4281755992 cites W3112046458 @default.
- W4281755992 cites W3112423652 @default.
- W4281755992 cites W3120880088 @default.
- W4281755992 cites W3122000667 @default.
- W4281755992 cites W3123054315 @default.
- W4281755992 cites W3123722757 @default.
- W4281755992 cites W3124321814 @default.
- W4281755992 cites W3124577900 @default.
- W4281755992 cites W3126811600 @default.
- W4281755992 cites W3132169495 @default.
- W4281755992 cites W3137788550 @default.
- W4281755992 cites W3149052382 @default.
- W4281755992 cites W3154385246 @default.
- W4281755992 cites W3158258556 @default.
- W4281755992 cites W3160567393 @default.
- W4281755992 cites W3171456393 @default.
- W4281755992 cites W3173576810 @default.
- W4281755992 cites W3175355199 @default.
- W4281755992 cites W3184315705 @default.
- W4281755992 cites W3185654792 @default.
- W4281755992 cites W3189595867 @default.
- W4281755992 cites W3192279017 @default.
- W4281755992 cites W3194943789 @default.
- W4281755992 cites W3197240927 @default.
- W4281755992 cites W3199246753 @default.
- W4281755992 cites W3206460132 @default.
- W4281755992 cites W4200282286 @default.
- W4281755992 cites W4214936730 @default.
- W4281755992 cites W4235678817 @default.