IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i23p16174-d992857.html
   My bibliography  Save this article

Using Social Media Analytics and Machine Learning Approaches to Analyze the Behavioral Response of Agriculture Stakeholders during the COVID-19 Pandemic

Author

Listed:
  • Madanjit Singh

    (Department of Computer Science, Guru Nanak Dev University, Amritsar 143005, India)

  • Amardeep Singh

    (School of Computer and Information Sciences, University of Cumberlands, Lebanon, TN 37087, USA)

  • Sarveshwar Bharti

    (Department of Computer Science, Guru Nanak Dev University, Amritsar 143005, India)

  • Prithvipal Singh

    (Department of Computer Science, Guru Nanak Dev University, Amritsar 143005, India)

  • Munish Saini

    (Department of Computer Engineering and Technology, Guru Nanak Dev University, Amritsar 143005, India)

Abstract

COVID-19, over time, has spread around multiple countries and has affected a large number of humans. It has influenced diverse people’s lives, consisting of social, behavioral, physical, mental, and economic aspects. In this study, we aim to analyze one such social impact: the behavioral aspects of agriculture stakeholders during the pandemic period in the Indian region. For this purpose, we have gathered agriculture-related tweets from Twitter in three phases: (a) initial phase, (b) mid-phase, and (c) later phase, where these phases are related to the period of complete lockdown implemented in India in the year 2020. Afterward, we applied machine-learning-based qualitative-content-based methods to analyze the sentiments, emotions, and views of these people. The outcomes depicted the presence of highly negative emotions in the initial phase of the lockdown, which signifies fear of insecurity among the agriculture stakeholders. However, a decline in unhappiness was noted during the later phase of the lockdown. Furthermore, these outcomes will help policymakers to obtain insights into the behavioral responses of agricultural stakeholders. They can initiate primitive and preventive actions accordingly, to tackle such issues in the future.

Suggested Citation

  • Madanjit Singh & Amardeep Singh & Sarveshwar Bharti & Prithvipal Singh & Munish Saini, 2022. "Using Social Media Analytics and Machine Learning Approaches to Analyze the Behavioral Response of Agriculture Stakeholders during the COVID-19 Pandemic," Sustainability, MDPI, vol. 14(23), pages 1-18, December.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:23:p:16174-:d:992857
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/23/16174/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/23/16174/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sheth, Jagdish, 2020. "Impact of Covid-19 on consumer behavior: Will the old habits return or die?," Journal of Business Research, Elsevier, vol. 117(C), pages 280-283.
    2. Ying Liu & Yibing Chen & Sheng Wu & Geng Peng & Benfu Lv, 2015. "Composite leading search index: a preprocessing method of internet search data for stock trends prediction," Annals of Operations Research, Springer, vol. 234(1), pages 77-94, November.
    3. Kumar, Anand & Priya, Bhawna & Srivastava, Samir K., 2021. "Response to the COVID-19: Understanding implications of government lockdown policies," Journal of Policy Modeling, Elsevier, vol. 43(1), pages 76-94.
    4. Channing Arndt & Jeffrey D. Lewis, 2001. "The HIV|AIDS pandemic in South Africa: sectoral impacts and unemployment," Journal of International Development, John Wiley & Sons, Ltd., vol. 13(4), pages 427-449.
    5. Gabriela Clemente & Alberto Garcia-Prats & Purificación Lisón & Constanza Rubio & Santiago Vidal-Puig & Beatriz Ricarte & Vicente Estruch-Guitart & Loreto Fenollosa & Juan Manzano & Francisco Rovira-M, 2022. "COVID-19 Impact: A Case Study at the School of Agricultural Engineering and Environment of the Universitat Politècnica de València," Sustainability, MDPI, vol. 14(17), pages 1-14, August.
    6. J. S. Thakur & B. T. Rao & Arvind Rajwanshi & H. K. Parwana & Rajesh Kumar, 2008. "Epidemiological Study of High Cancer among Rural Agricultural Community of Punjab in Northern India," IJERPH, MDPI, vol. 5(5), pages 1-9, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Effrosyni Bitakou & Sotirios Karetsos & Filotheos Ntalianis & Maria Ntaliani & Constantina Costopoulou, 2023. "Evaluating Social Media Marketing in the Greek Winery Industry," Sustainability, MDPI, vol. 16(1), pages 1-22, December.

    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. Ali Zackery & Joseph Amankwah-Amoah & Zahra Heidari Darani & Shiva Ghasemi, 2022. "COVID-19 Research in Business and Management: A Review and Future Research Agenda," Sustainability, MDPI, vol. 14(16), pages 1-32, August.
    2. Margaret Chitiga‐Mabugu & Martin Henseler & Ramos Mabugu & Hélène Maisonnave, 2021. "Economic and Distributional Impact of COVID‐19: Evidence from Macro‐Micro Modelling of the South African Economy," South African Journal of Economics, Economic Society of South Africa, vol. 89(1), pages 82-94, March.
    3. Elena Bonel & Mauro Capestro & Eleonora Di Maria, 2023. "How COVID-19 impacted cultural consumption: an explorative analysis of Gen Z’s digital museum experiences," Italian Journal of Marketing, Springer, vol. 2023(2), pages 135-160, June.
    4. Anubhab Gupta & Heng Zhu & Miki Khanh Doan & Aleksandr Michuda & Binoy Majumder, 2021. "Economic Impacts of the COVID−19 Lockdown in a Remittance‐Dependent Region," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(2), pages 466-485, March.
    5. Roberta Capello & Andrea Caragliu, 2021. "Regional growth and disparities in a post‐COVID Europe: A new normality scenario," Journal of Regional Science, Wiley Blackwell, vol. 61(4), pages 710-727, September.
    6. Mauro Bambi & Daria Ghilli & Fausto Gozzi & Marta Leocata, 2021. "Habits and demand changes after COVID-19," Papers 2107.00909, arXiv.org, revised Mar 2022.
    7. Peluso, Alessandro M. & Pichierri, Marco & Pino, Giovanni, 2021. "Age-related effects on environmentally sustainable purchases at the time of COVID-19: Evidence from Italy," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    8. Shunying Zhao & Qiang Yang & Hohjin Im & Baojuan Ye & Yadi Zeng & Zhinan Chen & Lu Liu & Dawu Huang, 2022. "The impulsive online shopper: effects of COVID-19 burnout, uncertainty, self-control, and online shopping trust," Future Business Journal, Springer, vol. 8(1), pages 1-15, December.
    9. Yu, Jingru & Xie, Ningke & Zhu, Jiangtao & Qian, Yiwei & Zheng, Sijing & Chen, Xiqun (Michael), 2022. "Exploring impacts of COVID-19 on city-wide taxi and ride-sourcing markets: Evidence from Ningbo, China," Transport Policy, Elsevier, vol. 115(C), pages 220-238.
    10. Viktória VIDA & Péter POPOVICS, 2020. "Impact Of The Covid-19 On Behaviour: A Survey Of Different Aspects Of Life Of The Hungarian Population," CrossCultural Management Journal, Fundația Română pentru Inteligența Afacerii, Editorial Department, issue 2, pages 161-174, December.
    11. Roberto Roson & Camille Van der Vorst, 2021. "The COVID crumbling of tourism in Andalusia: an assessment of economic and environmental consequences," Working Papers 2021: 18, Department of Economics, University of Venice "Ca' Foscari".
    12. Jocelyn Vass, 2005. "The Relationship Between Labour Market Dynamics And Hiv/Aids Prevalence In South Africa ‐ A Literature Review1," South African Journal of Economics, Economic Society of South Africa, vol. 73(s1), pages 564-577, December.
    13. Kochaniak, Katarzyna & Ulman, Paweł & Zajkowski, Robert, 2023. "Effectiveness of COVID-19 state aid for microenterprises in Poland," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 483-497.
    14. Hasan Bakhshi & Salvatore Novo & Giorgio Fazio, 2023. "The “Great Lockdown” and cultural consumption in the UK," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 47(4), pages 555-587, December.
    15. Mainardes, Emerson Wagner & Coutinho, Ananda Raquel Silva & Alves, Helena Maria Batista, 2023. "The influence of the ethics of E-retailers on online customer experience and customer satisfaction," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    16. Prabhsimran Singh & Yogesh K. Dwivedi & Karanjeet Singh Kahlon & Ravinder Singh Sawhney & Ali Abdallah Alalwan & Nripendra P. Rana, 0. "Smart Monitoring and Controlling of Government Policies Using Social Media and Cloud Computing," Information Systems Frontiers, Springer, vol. 0, pages 1-23.
    17. Liu, Hongfei & Liu, Wentong & Yoganathan, Vignesh & Osburg, Victoria-Sophie, 2021. "COVID-19 information overload and generation Z's social media discontinuance intention during the pandemic lockdown," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    18. Herjanto, Halimin & Amin, Muslim & Purington, Elizabeth F., 2021. "Panic buying: The effect of thinking style and situational ambiguity," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    19. Silva, Emmanuel Sirimal & Bonetti, Francesca, 2021. "Digital humans in fashion: Will consumers interact?," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    20. Olive Umuhire Nsababera & Vibhuti Mendiratta & Hannah Sam, 2023. "The Impact of COVID-19 on Household Welfare in the Comoros: The Experience of a Small Island Developing State," Global Perspectives on Wealth and Distribution, in: Shirley Johnson-Lans (ed.), The Coronavirus Pandemic and Inequality, chapter 0, pages 141-195, Palgrave Macmillan.

    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:jsusta:v:14:y:2022:i:23:p:16174-:d:992857. 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.