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The impact and management of internet-based public opinion dissemination during emergencies: A case study of Baidu News during the first wave of coronavirus disease 2019 (COVID-19).

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  • المؤلفون: Su X;Su X; Wang S; Wang S
  • المصدر:
    PloS one [PLoS One] 2024 Apr 04; Vol. 19 (4), pp. e0299374. Date of Electronic Publication: 2024 Apr 04 (Print Publication: 2024).
  • نوع النشر :
    Journal Article
  • اللغة:
    English
  • معلومة اضافية
    • المصدر:
      Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
    • بيانات النشر:
      Original Publication: San Francisco, CA : Public Library of Science
    • الموضوع:
    • نبذة مختصرة :
      Background and Aims: The coronavirus disease 2019 (COVID-19) public health emergency has had a huge impact worldwide. We analyzed news headlines and keywords from the initial period of COVID-19, and explored the dissemination timeline of news related to the epidemic, and the impact of Internet-based media on the public using lifecycle theory and agenda-setting theory. We aimed to explore the impact of Baidu news headlines on public attention during the first wave of COVID-19, as well as the management mechanism of regulatory departments for social public opinion.
      Methods: We searched Baidu News using the keywords "Novel Coronavirus" and "COVID-19" from 8 January to 21 February 2020, a total of 45 days, and used Python V3.6 to extract news samples during the first wave of the epidemic. We used text analysis software to structurally process captured news topics and content summaries, applied VOSviewer V6.19 and Ucinet V6.0 to examine key aspects of the data.
      Results: We analyzed the impact of Baidu News headlines on social opinion during the first wave of COVID-19 in the budding, spread, and outbreak stage of the information lifecycle. From clustering visualization and social network analysis perspectives, we explored the characteristics of Baidu News during the initial stage of the COVID-19. The results indicated that agenda-setting coverage through online media helped to mitigate the negative impact of COVID-19. The findings revealed that news reporting generated a high level of public attention toward a specific emergency event.
      Conclusions: The public requires accurate and objective information on the progress of COVID-19 through Baidu News headlines to inform their planning for the epidemic. Meanwhile, government can enhance the management mechanism of news dissemination, correct false and inaccurate news, and guide public opinion in a positive direction. In addition, timely official announcements on the progress of the COVID-19 outbreak and responses to matters of public concern can help calm tensions and maintain social stability.
      Competing Interests: The authors have declared that no competing interests exist.
      (Copyright: © 2024 Su, Wang. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
    • References:
      PLoS One. 2021 Feb 18;16(2):e0247086. (PMID: 33600477)
      Int J Appl Earth Obs Geoinf. 2022 Sep;113:102967. (PMID: 36035895)
      J Public Health (Oxf). 2021 Jun 7;43(2):e389-e390. (PMID: 33783540)
      Front Psychol. 2022 Sep 13;13:954559. (PMID: 36176789)
      Inf Process Manag. 2022 Jul;59(4):102990. (PMID: 35663909)
      Brief Bioinform. 2022 Jan 17;23(1):. (PMID: 34601563)
      PLoS One. 2023 Mar 30;18(3):e0281773. (PMID: 36996093)
      J Med Internet Res. 2022 Apr 26;24(4):e34321. (PMID: 35275836)
      Front Psychol. 2022 Sep 27;13:954576. (PMID: 36237691)
      J Bus Res. 2021 Sep;134:540-559. (PMID: 34565948)
      J Med Internet Res. 2022 Sep 20;24(9):e38944. (PMID: 36067414)
      Sci Rep. 2021 Nov 11;11(1):22055. (PMID: 34764333)
      PLoS One. 2023 Jan 23;18(1):e0280889. (PMID: 36689430)
      PLoS One. 2022 Nov 11;17(11):e0271397. (PMID: 36367864)
      BMC Infect Dis. 2021 Jan 21;21(1):98. (PMID: 33478425)
      Technol Forecast Soc Change. 2021 Feb;163:120435. (PMID: 33162619)
      Risk Manag Healthc Policy. 2021 Oct 08;14:4223-4233. (PMID: 34675716)
      IEEE Internet Comput. 2020 Dec 11;25(2):84-91. (PMID: 35938074)
      Front Public Health. 2022 Jul 22;10:900776. (PMID: 35937264)
      Health Promot Int. 2021 Mar 12;36(1):235-249. (PMID: 32380522)
      Front Med (Lausanne). 2021 Nov 16;8:729138. (PMID: 34869424)
      Behav Sci (Basel). 2023 Aug 22;13(9):. (PMID: 37753976)
      PLoS One. 2022 Feb 28;17(2):e0264357. (PMID: 35226661)
      Telemat Inform. 2021 Jan;56:101475. (PMID: 34887612)
      Int J Environ Res Public Health. 2021 Jun 16;18(12):. (PMID: 34208483)
      Front Psychol. 2022 May 25;13:899778. (PMID: 35693508)
      JMIR Public Health Surveill. 2020 Oct 22;6(4):e23098. (PMID: 32960177)
      J Infect. 2022 May;84(5):e82-e84. (PMID: 35139408)
      Int J Environ Res Public Health. 2021 Dec 09;18(24):. (PMID: 34948596)
      Technol Forecast Soc Change. 2021 Aug;169:120849. (PMID: 36540545)
      Comput Human Behav. 2023 Sep;146:107795. (PMID: 37124630)
      Scientometrics. 2022;127(1):369-383. (PMID: 34840358)
      Epidemics. 2022 Sep;40:100612. (PMID: 35930904)
      JMIR Ment Health. 2022 May 25;9(5):e36966. (PMID: 35377320)
      Sci Rep. 2022 Jul 18;12(1):12243. (PMID: 35851060)
      Technol Soc. 2022 Nov;71:102113. (PMID: 36105882)
      Behav Sci (Basel). 2022 Dec 30;13(1):. (PMID: 36661606)
    • الموضوع:
      Date Created: 20240404 Date Completed: 20240408 Latest Revision: 20240408
    • الموضوع:
      20240408
    • الرقم المعرف:
      PMC10994342
    • الرقم المعرف:
      10.1371/journal.pone.0299374
    • الرقم المعرف:
      38573976