Abstract
At the end of 2019, Novel Coronavirus appeared, accompanied by massive epidemic information which reveals the digital divide of global concern. Through a questionnaire and interviews, the situation of the intergenerational digital divide, provincial digital divide and urban and rural digital divide behind the epidemic can be preliminarily concluded. In addition to the great help provided by new media, traditional media also played an important role in the spread of information about the epidemic. To continue to narrow the digital divide in the spread of information about the epidemic, the government should work to control rumors, and new media and traditional media should cooperate more scientifically in order to give play to their respective advantages. In addition, it is suggested that the elderly should also be helped in terms of their ability of using new media.
Keywords: COVID-19, Digital divide, New media, The rumor
References
- 1.Qingguang Guo. Communication Course. 2nd edition. Renmin University of China Press; 2011. [Google Scholar]
- 2.Xiang Liang. New Changes of digital Divide driven by new media [J] Age of Wealth. 2019:93–94. 09. [Google Scholar]
- 3.China Internet Network Information Center:The 45th Statistical Report on Internet Development in China [D], in April 2020.
- 4.Gsdata:http://2019ncov.gsdata.cn/new/pages/analysis/analysis
- 5.Yiwen Yan. Reasons and Countermeasures for the formation of Digital divide in China [J] Heilongjiang Science and Technology Information. 2012:146. 36. [Google Scholar]
- 6.Xiaolin Liang. Intergenerational Digital Divide in the Internet Era [J] New Media Research. 2008;4(20):134–135. [Google Scholar]
- 7.Yaoyu Yang. Research on the resistance to benefit in the network information exchange of the elderly -- based on the digital divide perspective [J] Industry and Technology Forum. 2019;18(22):104–106. [Google Scholar]
- 8.Shuai Sun. Analysis of network stratification from the development form of digital divide [J] New Media Research. 2019;5(22):81–82. [Google Scholar]
- 9.Xiaodong Yuan. Analysis of influencing Factors of “Digital Divide” in the Internet Environment [J] Collection, Writing and Editing. 2019:129–131. 03. [Google Scholar]
- 10.Jie Yi. Research on the Spread and Governance of COVID-19 Online rumors [D] Zhongnan University of Economics and Law; 2017. [Google Scholar]
- 11.Xiaochun Yin. Case Study on the Spread of epidemic rumor based on new media [D] Shanghai Jiao Tong University; 2014. [Google Scholar]
- 12.Jenny Wang. Internet digital divide in urban and rural China under the background of new media [J] Media Forum. 2019;2(18):78–79. [Google Scholar]
- 13.Yuting Sun, Fan Xiao, Yong Zhou, Guangzeng Tian. COVID - 19 outbreak public attention the differences of space and time and the influencing factors, based on the analysis of Baidu search index [J/OL] Tropical geography. 2020:1–3. doi: 10.13284/j.cnki.rddl.003244. [06-29]. [DOI] [Google Scholar]
- 14.Yan Wei. Don’t let Internet violence become a new epidemic [N] Hainan Daily. 2020 02-08(A04) [Google Scholar]
- 15.luowei Wei, Jiaxiao Jiang, Hao Liang, Bingyu Liang, Gang Wang, Junhan Zhang, Li Ye. Analysis of COVID-19 prevalence and network concerns in southwest China [J] Internal Medicine. 2020;15(02):127–130+145. [Google Scholar]
- 16.Weiping Zhang, Junhui Fan. Construction of social support system of digital divide for the elderly [J] Scientific Research on Aging. 2019;7(02):63–70. [Google Scholar]
- 17.Binyi Ling. Exploration of epidemic Report on Urban TV + New Media Platform [J] Audiovisual Field. 2020:99–100. 03. [Google Scholar]
- 18.Hongan Fu. The Dilemma of realistic public opinion reflected by Internet rumors -- A case study of the rumor spread of H7N9 avian influenza [J] Western Radio and Television. 2013:64. 19. [Google Scholar]
- 19.Guangyu Song. Release the effectiveness of social governance and win the double victory of epidemic prevention and control and economic and social development [N] Nanjing Daily. 2020 02-19(A06) [Google Scholar]
- 20.Xiaoyun Li. Research on existing problems and countermeasures of network public opinions of grassroots governments [J] News Research Guide. 2019;10(23):186–187. [Google Scholar]
- 21.Yanling Li, Mingzhu Peng, Shiyue Li. Research on the Differentiation Evolution and Development Trend of Online Public Opinion Segmentation [J] Books and Information. 2019:83–91. 02. [Google Scholar]