IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v10y2022i18p3387-d917972.html
   My bibliography  Save this article

Analysis of the Public Opinion Evolution on the Normative Policies for the Live Streaming E-Commerce Industry Based on Online Comment Mining under COVID-19 Epidemic in China

Author

Listed:
  • Tinggui Chen

    (School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou 310018, China)

  • Chenhao Tong

    (School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou 310018, China)

  • Yuhan Bai

    (School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou 310018, China)

  • Jianjun Yang

    (Department of Computer Science and Information Systems, University of North Georgia, Oakwood, GA 30566, USA)

  • Guodong Cong

    (School of Tourism and Urban-Rural Planning, Zhejiang Gongshang University, Hangzhou 310018, China)

  • Tianluo Cong

    (College of International Education, Zhejiang Gongshang University, Hangzhou 310018, China)

Abstract

Recent years have witnessed the intensive development of live streaming E-commerce, an emerging business mode. Although it contributes to economic growth, various forms of chaos show up and disturbs the market order. Therefore, from 1 July 2020, the official release of the first domestic document on live streaming E-commerce, the Code of Conduct for Online Live Streaming Marketing , to the end of the first half of 2021, China has witnessed so intensive release of relevant policies that are rare over the past years. Introducing these policies will inevitably attract the general public’s attention and discussions. Based on online comments, this paper uses the LDA models to extract topics from online comments related to live streaming E-commerce and identifies sentiment polarity and sentiment intensity by the analysis models of different emotion dictionaries to study policy implementation effects and the main topics of concern before and after the policy implementation. The analysis results show that people between the age of 20 and 40 attach more importance to the implementation of the normative policy for live streaming E-commerce. Women, the main force of live streaming users, are less enthusiastic about the policy implementation than men. Moreover, the analysis results of the LDA models and online HDP (online hierarchical Dirichlet process) models demonstrate that the most discussed topics are the contribution of live streaming E-commerce to traditional economic transformation, public welfare activities, resumption of work and production, and poverty alleviation, as well as fraud, counterfeit goods, supervision, rights protection and other incidents in this industry. Overall, the majority of the public holds a positive attitude towards the policy implementation. After further analysis of comments under the relevant topics, it is found that compared with the first two policies released on 1 July and 5 November in 2020, although the proportion of netizens with positive emotions during the implementation of the follow-up policy has increased, the increment is not significant, indicating that the implementation of the new normative policy in a short term will hardly curb the occurrence of industry chaos. In turn, the governments should transfer their attention to actual regulatory problems, and intensify efforts to implement normative policies.

Suggested Citation

  • Tinggui Chen & Chenhao Tong & Yuhan Bai & Jianjun Yang & Guodong Cong & Tianluo Cong, 2022. "Analysis of the Public Opinion Evolution on the Normative Policies for the Live Streaming E-Commerce Industry Based on Online Comment Mining under COVID-19 Epidemic in China," Mathematics, MDPI, vol. 10(18), pages 1-27, September.
  • Handle: RePEc:gam:jmathe:v:10:y:2022:i:18:p:3387-:d:917972
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/10/18/3387/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/10/18/3387/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wang, Jing, 2021. "Research on sustainable evolution of China's cloud manufacturing policies," Technology in Society, Elsevier, vol. 66(C).
    2. Zheng, Xuemei & Wu, Chengkuan & He, Shijun, 2021. "Impacts of China's differential electricity pricing on the productivity of energy-intensive industries," Energy Economics, Elsevier, vol. 94(C).
    3. Shengliang Zhang & Chaoying Huang & Xiaodong Li & Ai Ren, 2022. "Characteristics and roles of streamers in e-commerce live streaming," The Service Industries Journal, Taylor & Francis Journals, vol. 42(13-14), pages 1001-1029, October.
    4. Dong, Xuefan & Lian, Ying, 2021. "A review of social media-based public opinion analyses: Challenges and recommendations," Technology in Society, Elsevier, vol. 67(C).
    5. Chen, Tinggui & Jin, Yumei & Yang, Jianjun & Cong, Guodong, 2022. "Identifying emergence process of group panic buying behavior under the COVID-19 pandemic," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
    6. Zhang, Junyi & Zhang, Runsen & Ding, Hongxiang & Li, Shuangjin & Liu, Rui & Ma, Shuang & Zhai, Baoxin & Kashima, Saori & Hayashi, Yoshitsugu, 2021. "Effects of transport-related COVID-19 policy measures: A case study of six developed countries," Transport Policy, Elsevier, vol. 110(C), pages 37-57.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cano-Marin, Enrique & Mora-Cantallops, Marçal & Sánchez-Alonso, Salvador, 2023. "Twitter as a predictive system: A systematic literature review," Journal of Business Research, Elsevier, vol. 157(C).
    2. Li, Zhaohua & Pang, Suqin & Zhu, Zhiyun, 2024. "The impact of pilot free trade zones on entrepreneurship: Evidence from a quasi-natural experiment in China," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
    3. Chenrui Lu & Bing Wang & Tinggui Chen & Jianjun Yang, 2022. "A Document Analysis of Peak Carbon Emissions and Carbon Neutrality Policies Based on a PMC Index Model in China," IJERPH, MDPI, vol. 19(15), pages 1-16, July.
    4. Guohua He & Zirun Hu, 2022. "A Model of Panic Buying and Workforce under COVID-19," IJERPH, MDPI, vol. 19(24), pages 1-14, December.
    5. Xunqing Wang & Nan Zhang & Hang Zhou & Xinpeng Huang & Rundong Luo, 2023. "Multi-Agent Evolutionary Game Analysis of Group Panic Buying in China during the COVID-19 Pandemic," Mathematics, MDPI, vol. 11(13), pages 1-24, July.
    6. Lin Zhao, 2023. "The impact of China's Differential Electricity Pricing policy on fossil fuel consumption," International Studies of Economics, John Wiley & Sons, vol. 18(1), pages 97-119, March.
    7. Wen Zhang & Qiang Wang & Jian Li & Zhenzhong Ma & Gokul Bhandari & Rui Peng, 2023. "What makes deceptive online reviews? A linguistic analysis perspective," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
    8. Yang, Xiao & Liu, Ying & Dong, Jichang & Li, Sirui, 2023. "Impact of streamers’ characteristics on sales performance of search and experience products: Evidence from Douyin," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    9. Adekoya, Oluwasegun B. & Oliyide, Johnson A. & Saleem, Owais & Adeoye, Habeeb A., 2022. "Asymmetric connectedness between Google-based investor attention and the fourth industrial revolution assets: The case of FinTech and Robotics & Artificial intelligence stocks," Technology in Society, Elsevier, vol. 68(C).
    10. Zhang, Junyi & Hayashi, Yoshitsugu, 2022. "Research frontier of COVID-19 and passenger transport: A focus on policymaking," Transport Policy, Elsevier, vol. 119(C), pages 78-88.
    11. Chen, Long & Huang, Jiahui & Jing, Peng & Wang, Bichen & Yu, Xiaozhou & Zha, Ye & Jiang, Chengxi, 2023. "Changing or unchanging Chinese attitudes toward ride-hailing? A social media analytics perspective from 2018 to 2021," Transportation Research Part A: Policy and Practice, Elsevier, vol. 178(C).
    12. Liu, Yanfeng & Cai, Lanhui & Ma, Fei & Wang, Xueqin, 2023. "Revenge buying after the lockdown: Based on the SOR framework and TPB model," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    13. Zhang, Qiang & Tong, Qiong, 2021. "The economic impacts of traffic consumption during the COVID-19 pandemic in China: A CGE analysis," Transport Policy, Elsevier, vol. 114(C), pages 330-337.
    14. Jain, Lokesh, 2022. "An entropy-based method to control COVID-19 rumors in online social networks using opinion leaders," Technology in Society, Elsevier, vol. 70(C).
    15. Ugur Bilgin & Selin Soner Kara, 2024. "Identification of Perceived Challenges in the Green Energy Transition by Turkish Society through Sentiment Analysis," Sustainability, MDPI, vol. 16(8), pages 1-22, April.
    16. Dash, Ganesh & Alharthi, Majed & Albarrak, Mansour & Aggarwal, Shalini, 2024. "Saudi millennials’ panic buying behavior during pandemic and post-pandemic: Role of social media addiction and religious values and commitment," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
    17. Meng, Xin & Guo, Mingxue & Gao, Ziyou & Kang, Liujiang, 2023. "Interaction between travel restriction policies and the spread of COVID-19," Transport Policy, Elsevier, vol. 136(C), pages 209-227.
    18. Zhijie Song & Chang Liu & Rui Shi, 2022. "How Do Fresh Live Broadcast Impact Consumers’ Purchase Intention? Based on the SOR Theory," Sustainability, MDPI, vol. 14(21), pages 1-16, November.
    19. Ma, Xuan & Yu, Deqing & Wang, Ke, 2024. "Unraveling the intricacies of panic buying: An evolutionary game-theoretic exploration of the evolution and intervention," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
    20. Jia, Wentao & Xie, Rui & Ma, Chunbo & Gong, Zezhong & Wang, Hui, 2024. "Environmental regulation and firms' emission reduction – The policy of eliminating backward production capacity as a quasi-natural experiment," Energy Economics, Elsevier, vol. 130(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:10:y:2022:i:18:p:3387-:d:917972. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.