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Viewpoint: Social monitoring for food policy and research: Directions and implications

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  • Delmastro, Marco
  • Zollo, Fabiana

Abstract

In the new digital ecosystem, consumers are overwhelmed with information, sometimes unreliable, and participate in the public debate through social media based on their perceptions and beliefs. For these reasons, the monitoring of social media has become an essential and powerful tool for understanding dynamically and in real-time the information set available to the public, the perceptions of consumers, the presence of any biases and false beliefs. The large availability of data generated online enables the unveiling and analysis of socio-cognitive factors behind food information consumption and processing. In this paper, we provide an overview of issues, methods, and techniques for quantitative social monitoring and discuss benefits and implications for food policy and research.

Suggested Citation

  • Delmastro, Marco & Zollo, Fabiana, 2021. "Viewpoint: Social monitoring for food policy and research: Directions and implications," Food Policy, Elsevier, vol. 105(C).
    • Handle: RePEc:eee:jfpoli:v:105:y:2021:i:c:s0306919221001263
    DOI: 10.1016/j.foodpol.2021.102147
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    1. Meyer, Christian & Hamer, Martin & Terlau, Wiltrud & Raithel, Johannes & Pongratz, Patrick, 2015. "Web Data Mining and Social Media Analysis for better Communication in Food Safety Crises," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 6(3), pages 1-10, July.
    2. Carl Shapiro, 1982. "Consumer Information, Product Quality, and Seller Reputation," Bell Journal of Economics, The RAND Corporation, vol. 13(1), pages 20-35, Spring.
    3. Carmen Valor, 2008. "Can Consumers Buy Responsibly? Analysis and Solutions for Market Failures," Journal of Consumer Policy, Springer, vol. 31(3), pages 315-326, September.
    4. Shanto Iyengar & Sean J. Westwood, 2015. "Fear and Loathing Across Party Lines: New Evidence on Group Polarization," American Journal of Political Science, John Wiley & Sons, vol. 59(3), pages 690-707, July.
    5. Stefano Castriota & Marco Delmastro, 2015. "The Economics of Collective Reputation: Evidence from the Wine Industry," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(2), pages 469-489.
    6. Sinan Aral & Dylan Walker, 2014. "Tie Strength, Embeddedness, and Social Influence: A Large-Scale Networked Experiment," Management Science, INFORMS, vol. 60(6), pages 1352-1370, June.
    7. Cox, D.R. & Kartsonaki, Christiana & Keogh, Ruth H., 2018. "Big data: Some statistical issues," Statistics & Probability Letters, Elsevier, vol. 136(C), pages 111-115.
    8. Christopher A. Bail & Lisa P. Argyle & Taylor W. Brown & John P. Bumpus & Haohan Chen & M. B. Fallin Hunzaker & Jaemin Lee & Marcus Mann & Friedolin Merhout & Alexander Volfovsky, 2018. "Exposure to opposing views on social media can increase political polarization," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 115(37), pages 9216-9221, September.
    9. Henson, Spencer & Traill, Bruce, 1993. "The demand for food safety : Market imperfections and the role of government," Food Policy, Elsevier, vol. 18(2), pages 152-162, April.
    10. Robert Eiss, 2020. "Confusion over Europe’s data-protection law is stalling scientific progress," Nature, Nature, vol. 584(7822), pages 498-498, August.
    11. Meyer, Christian & Hamer, Martin & Terlau, Wiltrud & Raithel, Johannes & Pongratz, Patrick, 2015. "Web Data Mining and Social Media Analysis for better Communication in Food Safety Crises," 2015 International European Forum (144th EAAE Seminar), February 9-13, 2015, Innsbruck-Igls, Austria 206212, International European Forum on System Dynamics and Innovation in Food Networks.
    12. Schroeder Ted C. & Tonsor Glynn T. & Pennings Joost M.E. & Mintert James, 2007. "Consumer Food Safety Risk Perceptions and Attitudes: Impacts on Beef Consumption across Countries," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 7(1), pages 1-29, December.
    13. Schroeder, Ted C. & Tonsor, Glynn T. & Pennings, Joost M.E. & Mintert, James R., 2007. "The Role of Consumer Risk Perceptions and Attitudes in Cross Cultural Beef Consumption Changes," 2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon 10254, Western Agricultural Economics Association.
    14. Robert M. Bond & Christopher J. Fariss & Jason J. Jones & Adam D. I. Kramer & Cameron Marlow & Jaime E. Settle & James H. Fowler, 2012. "A 61-million-person experiment in social influence and political mobilization," Nature, Nature, vol. 489(7415), pages 295-298, September.
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    1. Caroll Hermann & Melanie Govender, 2022. "eHealth Engagement on Facebook during COVID-19: Simplistic Computational Data Analysis," IJERPH, MDPI, vol. 19(8), pages 1-15, April.

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