IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i6p4753-d1090342.html
   My bibliography  Save this article

Systematic Review of Misinformation in Social and Online Media for the Development of an Analytical Framework for Agri-Food Sector

Author

Listed:
  • Ataharul Chowdhury

    (School of Environmental Design and Rural Development, University of Guelph, Guelph, ON N1G 2W1, Canada)

  • Khondokar H. Kabir

    (School of Environmental Design and Rural Development, University of Guelph, Guelph, ON N1G 2W1, Canada
    Department of Agricultural Extension Education, Bangladesh Agricultural University, Mymensingh 2202, Bangladesh)

  • Abdul-Rahim Abdulai

    (Department of Geography, Environment and Geomatics, University of Guelph, Guelph, ON N1G 2W1, Canada)

  • Md Firoze Alam

    (School of Environmental Design and Rural Development, University of Guelph, Guelph, ON N1G 2W1, Canada)

Abstract

The ubiquity of social and online media networks, the credulousness of online communities, coupled with limited accountability pose a risk of mis-, dis-, mal-, information (mis-dis-mal-information)—the intentional or unintentional spread of false, misleading and right information related to agri-food topics. However, agri-food mis-dis-malinformation in social media and online digital agricultural communities of practice (CoPs) remains underexplored. There is also a limited theoretical and conceptual foundation for understanding mis-dis-malinformation topics in the agri-food sectors. The study aims to review mis-dis-malinformation literature and offer a framework to help understand agri-food mis-dis-malinformation in social media and online CoPs. This paper performs a systematic review following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). The review shows that many disciplines, particularly communication, social media studies, computer science, health studies, political science and journalism, are increasingly engaging with mis-dis-malinformation research. This systematic research generates a framework based on six thematic categories for holistically understanding and assessing agri-food mis-dis-malinformation in social and online media communities. The framework includes mis-dis-malinformation characterization, source identification, diffusion mechanisms, stakeholder impacts, detection tactics, and mis-dis-malinformation curtailment and countermeasures. The paper contributes to advancing the emerging literature on ‘controversial topics’, ‘misinformation’, and ‘information integrity’ of the virtual agri-food advisory services. This is the first attempt to systematically analyze and incorporate experience from diverse fields of mis-dis-malinformation research that will inform future scholarly works in facilitating conversations and advisory efforts in the agri-food sector.

Suggested Citation

  • Ataharul Chowdhury & Khondokar H. Kabir & Abdul-Rahim Abdulai & Md Firoze Alam, 2023. "Systematic Review of Misinformation in Social and Online Media for the Development of an Analytical Framework for Agri-Food Sector," Sustainability, MDPI, vol. 15(6), pages 1-25, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:6:p:4753-:d:1090342
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/6/4753/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/6/4753/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Baccarella, Christian V. & Wagner, Timm F. & Kietzmann, Jan H. & McCarthy, Ian P., 2018. "Social media? It's serious! Understanding the dark side of social media," European Management Journal, Elsevier, vol. 36(4), pages 431-438.
    2. Acemoglu, Daron & Ozdaglar, Asuman & ParandehGheibi, Ali, 2010. "Spread of (mis)information in social networks," Games and Economic Behavior, Elsevier, vol. 70(2), pages 194-227, November.
    3. Kaung-Hwa Chen & Kuo-Jung Hsieh & Feng-Hsiang Chang & Nai-Chia Chen, 2015. "The Customer Citizenship Behaviors of Food Blog Users," Sustainability, MDPI, vol. 7(9), pages 1-19, September.
    4. Darrin Baines & Robert J R Elliott, 2020. "Defining misinformation, disinformation and malinformation: An urgent need for clarity during the COVID-19 infodemic," Discussion Papers 20-06, Department of Economics, University of Birmingham.
    5. Leveau, Lola & Soulignac, Vincent, 2018. "Knowledge Management for Sustainable Agro-systems: Can Analysis Tools Help us to Understand and Support Agricultural Communities of Practice? Case of the French Lentil Production," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 9(2), March.
    6. Christopher Agyekumhene & Jasper R. de Vries & Annemarie van Paassen & Marc Schut & Phil MacNaghten, 2020. "Making Smallholder Value Chain Partnerships Inclusive: Exploring Digital Farm Monitoring through Farmer Friendly Smartphone Platforms," Sustainability, MDPI, vol. 12(11), pages 1-16, June.
    7. Zhang, Chaowei & Gupta, Ashish & Kauten, Christian & Deokar, Amit V. & Qin, Xiao, 2019. "Detecting fake news for reducing misinformation risks using analytics approaches," European Journal of Operational Research, Elsevier, vol. 279(3), pages 1036-1052.
    8. Norwood, F. Bailey & Calvo-Lorenzo, Michelle S. & Lancaster, Sarah & Oltenacu, Pascal A., 2015. "Agricultural and Food Controversies: What Everyone Needs to Know," OUP Catalogue, Oxford University Press, number 9780199368426.
    9. Sarah Cummings & Richard Heeks & Marleen Huysman, 2006. "Knowledge and learning in online networks in development: a social-capital perspective," Development in Practice, Taylor & Francis Journals, vol. 16(6), pages 570-586, November.
    10. Zerbe, Noah, 2004. "Feeding the famine? American food aid and the GMO debate in Southern Africa," Food Policy, Elsevier, vol. 29(6), pages 593-608, December.
    11. Hunt Allcott & Matthew Gentzkow & Chuan Yu, 2019. "Trends in the Diffusion of Misinformation on Social Media," NBER Working Papers 25500, National Bureau of Economic Research, Inc.
    12. Alberto Acerbi, 2019. "Cognitive attraction and online misinformation," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-7, December.
    13. Ingram, Julie & Maye, Damian & Bailye, Clive & Barnes, Andrew & Bear, Christopher & Bell, Matthew & Cutress, David & Davies, Lynfa & de Boon, Auvikki & Dinnie, Liz & Gairdner, Julian & Hafferty, Caitl, 2022. "What are the priority research questions for digital agriculture?," Land Use Policy, Elsevier, vol. 114(C).
    14. Azzimonti, Marina & Fernandes, Marcos, 2023. "Social media networks, fake news, and polarization," European Journal of Political Economy, Elsevier, vol. 76(C).
    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. Pallavi Rajkhowa & Heike Baumüller, 2024. "Assessing the potential of ICT to increase land and labour productivity in agriculture: Global and regional perspectives," Journal of Agricultural Economics, Wiley Blackwell, vol. 75(2), pages 477-503, June.

    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. Jost, Peter J. & Pünder, Johanna & Schulze-Lohoff, Isabell, 2020. "Fake news - Does perception matter more than the truth?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 85(C).
    2. Michele Cantarella & Nicolo' Fraccaroli & Roberto Volpe, 2019. "Does fake news affect voting behaviour?," Department of Economics 0146, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
    3. Buechel, Berno & Klößner, Stefan & Meng, Fanyuan & Nassar, Anis, 2023. "Misinformation due to asymmetric information sharing," Journal of Economic Dynamics and Control, Elsevier, vol. 150(C).
    4. Germano, Fabrizio & Sobbrio, Francesco, 2020. "Opinion dynamics via search engines (and other algorithmic gatekeepers)," Journal of Public Economics, Elsevier, vol. 187(C).
    5. Marina Azzimonti-Renzo & Alessandra Fogli & Fabrizio Perri & Mark Ponder, 2020. "Pandemic Control in ECON-EPI Networks," Staff Report 609, Federal Reserve Bank of Minneapolis.
    6. Laura Studen & Victor Tiberius, 2020. "Social Media, Quo Vadis? Prospective Development and Implications," Future Internet, MDPI, vol. 12(9), pages 1-22, August.
    7. Azzimonti, Marina, 2022. "Comment on “Integrated epi-econ assessment of vaccination,” by Boppart, Harmenberg, Krusell, and Olsson," Journal of Economic Dynamics and Control, Elsevier, vol. 140(C).
    8. Fernandes, Marcos R., 2023. "Confirmation bias in social networks," Mathematical Social Sciences, Elsevier, vol. 123(C), pages 59-76.
    9. João Varela da Costa & Silvia Bogea Gomes & Miguel Mira da Silva, 2024. "Fake News: a conceptual model for risk management," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-11, December.
    10. Domenico, Giandomenico Di & Sit, Jason & Ishizaka, Alessio & Nunan, Daniel, 2021. "Fake news, social media and marketing: A systematic review," Journal of Business Research, Elsevier, vol. 124(C), pages 329-341.
    11. Leopoldo Fergusson & Carlos Molina, 2020. "Facebook Causes Protests," HiCN Working Papers 323, Households in Conflict Network.
    12. Buechel, Berno & Hellmann, Tim & Klößner, Stefan, 2015. "Opinion dynamics and wisdom under conformity," Journal of Economic Dynamics and Control, Elsevier, vol. 52(C), pages 240-257.
    13. Robert J. R. Elliott & Ingmar Schumacher & Cees Withagen, 2020. "Suggestions for a Covid-19 Post-Pandemic Research Agenda in Environmental Economics," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(4), pages 1187-1213, August.
    14. Rusinowska, Agnieszka & Taalaibekova, Akylai, 2019. "Opinion formation and targeting when persuaders have extreme and centrist opinions," Journal of Mathematical Economics, Elsevier, vol. 84(C), pages 9-27.
    15. Bartosz Wilczek, 2020. "Misinformation and herd behavior in media markets: A cross-national investigation of how tabloids’ attention to misinformation drives broadsheets’ attention to misinformation in political and business," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-22, November.
    16. McGrath, Karen & Brown, Claire & Regan, Áine & Russell, Tomás, 2023. "Investigating narratives and trends in digital agriculture: A scoping study of social and behavioural science studies," Agricultural Systems, Elsevier, vol. 207(C).
    17. Nicola Ansell & Elsbeth Robson & Flora Hajdu & Lorraine van Blerk & Lucy Chipeta, 2009. "The new variant famine hypothesis," Progress in Development Studies, , vol. 9(3), pages 187-207, July.
    18. Prummer, Anja & Siedlarek, Jan-Peter, 2017. "Community leaders and the preservation of cultural traits," Journal of Economic Theory, Elsevier, vol. 168(C), pages 143-176.
    19. Zhao, Jiuhua & Liu, Qipeng & Wang, Lin & Wang, Xiaofan, 2017. "Competitive seeds-selection in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 467(C), pages 240-248.
    20. Theiss Bendixen, 2020. "How cultural evolution can inform the science of science communication—and vice versa," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-10, December.

    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:15:y:2023:i:6:p:4753-:d:1090342. 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.