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刘泽, 郝艳华, 宁良文, 牛金玉, 毕雪晶, 张鹏, 梁立波, 刘爱书. 新冠肺炎疫情期间公众媒介信任度影响因素分析[J]. 中国公共卫生, 2021, 37(7): 1107-1112. DOI: 10.11847/zgggws1133954
引用本文: 刘泽, 郝艳华, 宁良文, 牛金玉, 毕雪晶, 张鹏, 梁立波, 刘爱书. 新冠肺炎疫情期间公众媒介信任度影响因素分析[J]. 中国公共卫生, 2021, 37(7): 1107-1112. DOI: 10.11847/zgggws1133954
LIU Ze, HAO Yan-hua, NING Liang-wen, . Influencing factors of trust in public media during COVID-19 epidemic among the public in China[J]. Chinese Journal of Public Health, 2021, 37(7): 1107-1112. DOI: 10.11847/zgggws1133954
Citation: LIU Ze, HAO Yan-hua, NING Liang-wen, . Influencing factors of trust in public media during COVID-19 epidemic among the public in China[J]. Chinese Journal of Public Health, 2021, 37(7): 1107-1112. DOI: 10.11847/zgggws1133954

新冠肺炎疫情期间公众媒介信任度影响因素分析

Influencing factors of trust in public media during COVID-19 epidemic among the public in China

  • 摘要:
      目的   探讨在新冠肺炎疫情期间公众媒介信任度的影响因素,为政府的风险沟通及对公众的信息行为引导提供参考依据。
      方法   于2020年8月3 — 13日采用自行设计调查问卷以问卷星网络平台和微信转发的方式对全国31个省、市、自治区的19132名年龄 ≥ 18周岁的成年人进行了媒介信任相关调查。
      结果   公众对钟南山和张文宏等专家学者的意见和建议、中央媒体、地方媒体、世界卫生组织和联合国等国际机构、医疗健康行业媒体、学校/社区/单位组织等、有认证的相关专业专家的自媒体、市场化媒体、有认证的非相关专业的自媒体、微博/微信/抖音等社交媒体的个人发言和评论、社交范围内邻居/朋友/家人/同学等的言论11个媒介的信任度得分分别为(4.6 ± 0.7)、(4.5 ± 0.7)、(4.2 ± 0.8)、(4.1 ± 0.9)、(4.1 ± 0.8)、(4.0 ± 0.9)、(3.8 ± 1.0)、(3.7 ± 1.0)、(3.4 ± 1.1)、(3.1 ± 1.1)、(3.0 ± 1.0)分。新冠肺炎疫情期间公众媒介信任可提取为权威媒介信任和非权威媒介信任2个公因子,累计方差贡献率为57.363 %。层次逻辑回归分析结果显示,人口学特征、信息需求与偏好、媒介使用、健康与经历、社会互动因素在权威媒介信任模型中对因变量的贡献率分别为0.3 %、11.1 %、9.1 %、0.1 %、0.8 %,在非权威媒介信任模型中对因变量的贡献率分别为0.8 %、17.8 %、6.5 %、0.1 %、0.1 %;体力劳动、家庭人均月收入 > 10000元、有信息需求、有信息形式和信息情绪偏好、使用权威媒介和非权威媒介、有社会互动的公众在新冠肺炎疫情期间权威媒介信任度较高,自评目前健康状况好的公众在新冠肺炎疫情期间权威媒介信任度较低;家庭人均月收入 > 20000元、有信息需求、有信息形式和信息情绪偏好、使用权威媒介和非权威媒介的公众在新冠肺炎疫情期间非权威媒介信任度较高。
      结论  新冠肺炎疫情期间公众对权威媒介的信任度高于非权威媒介;家庭人均收入、信息需求、信息形式偏好、信息情绪偏好、权威媒介使用和非权威媒介使用是公众权威媒介和非权威媒介信任度的共同影响因素。

     

    Abstract:
      Objective   To explore influencing factors of trust in public media among Chinese citizens during coronavirus disease 2019 (COVID-19) epidemic for providing evidences to government′s risk communication and information behavior guidance to the public.
      Methods   With Wenjuanxing and WeChat platform, we carried out a voluntary anonymous online survey among 36 863 adult ( ≥ 18 years) internet users in 31 provincial level administrative regions across China using a self-designed questionnaire during August 3 – 13, 2020.
      Results  Among 19 132 participants (51.9% of the all responders) with valid information, the average trust scores in the scale with points of 1 – 5 (5 for the highest trust) were 4.6 ± 0.7 for opinions and suggestions on the epidemic from well known scholars such as doctors Zhong Nan-shan and Zhang Wen-hong, 4.5 ± 0.7 for central government media, 4.2 ± 0.8 for local government media, 4.1 ± 0.9 for World Health Organization, the United Nations and other international agencies, 4.1 ± 0.8 for medical and health care institutions, 4.0 ± 0.9 for schools/communities/public institutions and social organizations, 3.8 ± 1.0 for certificated expert We Media, 3.7 ± 1.0 for market-oriented media, 3.4 ± 1.1 for certificated non-professional We Media, 3.1 ± 1.1 for viewpoints in social media such as Weibo/WeChat/Tiktok, and 3.0 ± 1.0 for individual opinions from neighbors/friends/family members/classmates, respectively. Factor analysis revealed two common factors in the trust in public media – the trust in authoritative media and in non-authoritative media, together with a cumulative variance contribution rate of 57.363%. Hierarchical logistic regression analysis results estimated following dependent variable's rates of contribution to trust in authoritative and non-authoritative media: 0.3% and 0.8% for demographic characteristics, 11.1% and 17.8% for information needs and preferences, 9.1% and 6.5% for media use, 0.1% and 0.1% for personal health and experiences, and 0.8% and 0.1% for social interactions. The results of logistic regression analyses demonstrated that the participants with information demand, having preferences of information form or emotion, and paying attention to authoritative and non-authoritative media were more likely to have a higher trust in both authoritative and non-authoritative media; the participants engaged in manual work, with the family monthly income of more than 10 000 yuan RMB per capita, and having social interaction behaviors were more likely to have a higher trust in authoritative media; the participants with the family monthly income of more than 20 000 yuan RMB per capita were more likely to have a higher trust in non-authoritative media; while, the participants with a good self-rated health were more likely to have a low trust in authoritative media.
      Conclusion  For the public in China during the COVID-19 epidemic, main influencing factors of public trust in both authoritative and non-authoritative media include income, information demand, preference for information forms, information emotion preference, and use of authoritative media and non-authoritative media.

     

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