Social media and food consumer behavior: A systematic review
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Social media and food consumer behavior : A systematic review. / Rini, Listia; Schouteten, Joachim Jietse; Faber, Ilona; Frøst, Michael Bom; Perez-Cueto, Federico J A; De Steur, Hans.
In: Trends in Food Science and Technology, Vol. 143, 104290, 2024.Research output: Contribution to journal › Review › Research › peer-review
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TY - JOUR
T1 - Social media and food consumer behavior
T2 - A systematic review
AU - Rini, Listia
AU - Schouteten, Joachim Jietse
AU - Faber, Ilona
AU - Frøst, Michael Bom
AU - Perez-Cueto, Federico J A
AU - De Steur, Hans
N1 - Funding Information: This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 862957 . Publisher Copyright: © 2023 Elsevier Ltd
PY - 2024
Y1 - 2024
N2 - Background: Social media (SM) have become the integral part of consumers’ daily life, prompting multidisciplinary research on their link with human behaviors, including food attitude and consumption. However, the precise role of SM in shaping food consumer behavior remains partially explored. Scope and approach: This review adopts a systematic literature approach, focusing on the methodological and outcome characteristics. Applying PRISMA guidelines, 377 studies were identified and categorized into three SM functions: Tool, Determinant, and Source. Tool studies involved active SM use for research, while Determinant studies measured SM-related variables' impact on outcomes, and Source studies involved data extraction and analysis from SM. This review traces the growth of studies over time, highlighting the study characteristics focusing on the methodology, and the scope of the findings per function. Key findings and conclusion: Data collection methods differed across functions: Source studies relying on user-generated content (UGC) via data mining, other functions mostly employed surveys targeted to participants. Notable platforms include Facebook (Tool) and Twitter (Source), with cross-sectional designs being prevalent. Tool and Determinant studies linked SM with food intention and behavior, Source studies delved into categorization and exploration of UGC and consumers’ sentiments related to food. In both the Tool and Determinant functions, most studies demonstrated the influence of SM on outcome measures. As each function has its own distinct characteristics, knowledge from all functions should be considered to gain comprehensive perspective regarding the relationship between SM and food consumer behavior.
AB - Background: Social media (SM) have become the integral part of consumers’ daily life, prompting multidisciplinary research on their link with human behaviors, including food attitude and consumption. However, the precise role of SM in shaping food consumer behavior remains partially explored. Scope and approach: This review adopts a systematic literature approach, focusing on the methodological and outcome characteristics. Applying PRISMA guidelines, 377 studies were identified and categorized into three SM functions: Tool, Determinant, and Source. Tool studies involved active SM use for research, while Determinant studies measured SM-related variables' impact on outcomes, and Source studies involved data extraction and analysis from SM. This review traces the growth of studies over time, highlighting the study characteristics focusing on the methodology, and the scope of the findings per function. Key findings and conclusion: Data collection methods differed across functions: Source studies relying on user-generated content (UGC) via data mining, other functions mostly employed surveys targeted to participants. Notable platforms include Facebook (Tool) and Twitter (Source), with cross-sectional designs being prevalent. Tool and Determinant studies linked SM with food intention and behavior, Source studies delved into categorization and exploration of UGC and consumers’ sentiments related to food. In both the Tool and Determinant functions, most studies demonstrated the influence of SM on outcome measures. As each function has its own distinct characteristics, knowledge from all functions should be considered to gain comprehensive perspective regarding the relationship between SM and food consumer behavior.
KW - Consumer behavior
KW - Food attitude
KW - Food behavior
KW - Social media
KW - Systematic review
U2 - 10.1016/j.tifs.2023.104290
DO - 10.1016/j.tifs.2023.104290
M3 - Review
AN - SCOPUS:85179880279
VL - 143
JO - Trends in Food Science & Technology
JF - Trends in Food Science & Technology
SN - 0924-2244
M1 - 104290
ER -
ID: 379196243