Instagram from the perspective of misinformation

hashtags and sharing of information in the field of nutrition

Authors

DOI:

https://doi.org/10.1590/1808-5245.30.138528

Keywords:

Instagram, misinformation, hashtags, information source, Nutrition

Abstract

Research on information sharing on Instagram and the tagging process for hashtag attribution by users, observing the reliability of information and the content of hashtags. The aim is to analyze whether the Instagram social network can be an appropriate source of information for its users, considering the relationship between hashtags and the posts that are shared and accessed on the social network, from the perspective of misinformation. Methodological procedures include bibliographic research within the scope of Information Science; and empirical research with an exploratory approach that analyzes a sample of posts retrieved through hashtags in Nutrition. Based on the set of principles and guidelines developed by the Journal of the American Medical Association, Health On the Net Foundation – HONcode –  and Charnock e Shepperd – DISCERN – to help ensure the quality and credibility of health and medical information on the internet, criteria were developed that integrate an instrument that was applied in the examination of the sample, in order to analyze and identify reliable or unreliable information in Nutrition posts on Instagram through the representativeness of hashtags, as they affect the quality of retrieval. The results indicated that Instagram is an accessible platform for disseminating information, however, it is a source of unreliable information since out of the 200 posts analyzed, only 57 showed good reliability and representativeness. Additionally, it was concluded that improvement of the network's tool that filters misinformation is necessary, due to the easy retrieval of unreliable information.

Downloads

Download data is not yet available.

Author Biographies

Thaís Guimarães, Universidade Federal Fluminense

Mestre pelo Programa de Pós-Graduação em Ciência da Informação da Universidade Federal Fluminense (PPGCI/UFF). Bacharel em Arquivologia e Biblioteconomia e Documentação pela Universidade Federal Fluminense (UFF)

Rosa Inês Cordeiro, Universidade Federal Fluminense

Professora titular do Departamento de Ciência da Informação da Universidade Federal Fluminense (UFF). Doutora em Comunicação e Cultura (UFRJ) e mestre em Comunicação (UFRJ). Arquivista e bibliotecária.

References

ARAÚJO, C. A. V. O fenômeno da pós-verdade e suas implicações para a agenda de pesquisa na ciência da informação. Encontros Bibli: Revista Eletrônica de Biblioteconomia e Ciência da Informação, Florianópolis, v. 25, p. 1-17, 2020. Disponível em: https://doi.org/10.5007/1518-2924.2020.e72673. Acesso em: 10 abr. 2022.

ARAUJO, N. C.; FACHIN, J. Evolução das fontes de informação. Biblos: Revista do Instituto de Ciências Humanas e da Informação, Rio Grande, v. 29, n.1, p. 81-96, 2015.

BALDONI, N.R.; ANJOS, I.F; CAMILO, S.E; PENA, A.P.S.A. Nutrição e covid-19: análise de publicações na rede social Instagram. Brazilian Journal of Health and Pharmacy, Belo Horizonte, v. 2, n. 3, p. 68-74, 2020. Disponível em: https://doi.org/10.29327/226760.2.3-7. Acesso em: 10 abr. 2022.

BRISOLA, A. C.; DOYLE, A. Critical information literacy as a path to resist “fake news”: Understanding disinformation as the root problem. Open Information Science, Berlim, v. 3, n. 1, p. 274-286, 2019. Disponível em: https://doi.org/10.1515/opis-2019-0019. Acesso em: 10 abr. 2022.

BOYER, C.; GAUDINAT, A.; BAUJARD, V.; GEISSBÜHLER, A. Health on the net foundation: Assessing the quality of health web pages all over the world. Studies in Health Technology and Informatics, Amsterdam, v. 129, p. 1017-1021, 2007.

CHARNOCK, D.; SHEPPERD, S. .DISCERN. Oxford, 1999.

CHARNOCK, D.; SHEPPERD, S. Questionário DISCERN. Oxford, 2021. Disponível em: https://www.valuehealthregionalissues.com/cms/10.1016/j.vhri.2019.09.001/attachment/92468c7e-12a9-4094-8fa7-7920330b0642/mmc1.pdf. Acesso em: 6 fev. 2024.

CUNHA, M. B. Manual de fontes de informação. 2. ed. Brasília: Briquet de Lemos, 2020.

FALLIS, D. What is disinformation? Library Trends, Arizona, v. 63, n. 3, p. 401-426, 2015.

GALHARDI, C. P. et al. Fato ou Fake? Uma análise da desinformação frente à pandemia da Covid-19 no Brasil. Ciência & Saúde Coletiva, Rio de Janeiro, v. 25, p. 4201-4210, 2020. Disponível em: https://doi.org/10.1590/1413-812320202510.2.28922020. Acesso em: 21 jan. 2022.

HEALTH ON THE NET. HONcode principles, Genebra, 2020.

INSTAGRAM, INC. Combater a desinformação no Instagram. Brasil, 16 dez. 2019. Disponível em: https://about.instagram.com/pt-br/blog/announcements/combatting-misinformation-on-instagram. Acesso em: 20 fev. 2023.

KARLOVA, N. A.; FISHER, K. E. A social diffusion model of misinformation and disinformation for understanding human information behaviour. InformationResearch: an International Electronic Journal, Sheffield, v. 18, n. 1, mar. 2013.

KIM, K. S.; YOO‐LEE, E. Y.; SIN, S. C. J. Social media as information source: undergraduates' use and evaluation behavior. Journal of the American Society for Information Science and Technology, New York, v. 48, n. 1, p. 1-3, 2011. Disponível em: https://doi.org/10.1002/meet.2011.14504801283. Acesso em: 23 set. 2020.

SECO, L. F. C.; SANTOS, Z. P. D.; BARTALO, L. Comportamento informacional e compartilhamento da informação no Instagram. Revista ACB: Biblioteconomia em Santa Catarina, Florianópolis, v. 21, n. 1, p. 46-60, 2016.

SILBERG, W. M.; LUNDBERG, G. D.; MUSACCHIO, R. A. Assessing, controlling, and assuring the quality of medical information on the Internet. JAMA, Boston, v. 277, n. 15, p. 1244-1245, 1997. Disponível em: https://doi.org/10.1001/jama.1997.03540390074039. Acesso em: 30 jan. 2022.

STATISTA. Leading countries based on Instagram audience size as of January 2022 (in millions). Berlim, 2022. Disponível em: https://www.statista.com/statistics/578364/countries-with-most-instagram-users/. Acesso em: 30 jan. 2022.

TOMAÉL, M. I.; ALCARÁ, A. R.; SILVA, T. E. Fontes de informação na internet: critérios de qualidade. In: TOMAÉL, M. I. (org.). Fontes de informação na internet. Londrina: EDUEL, 2008. cap. 1, p. 3-28.

TOMAÉL, M. I. et al. Avaliação de fontes de informação na Internet: critérios de qualidade. Informação & Sociedade, João Pessoa, v. 11, n. 2, 2001.

WARDLE, C.; DERAKHSHAN, H. Information disorder: toward an interdisciplinary framework for research and policymaking. Strasbourg: Council of Europe, 2017.

WESTERMAN, D.; SPENCE, P. R.; VAN DER HEIDE, B. Social media as information source: recency of updates and credibility of information. Journal of Computer-Mediated Communication, Oxford, v. 19, n. 2, p. 171-183, 2014. Disponível em: https://doi.org/10.1111/jcc4.12041/. Acesso em: 30 jan. 2022.

Published

2024-08-21

How to Cite

GUIMARÃES, T.; CORDEIRO, R. I. Instagram from the perspective of misinformation: hashtags and sharing of information in the field of nutrition. Em Questão, Porto Alegre, v. 30, 2024. DOI: 10.1590/1808-5245.30.138528. Disponível em: https://seer.ufrgs.br/index.php/EmQuestao/article/view/138528. Acesso em: 19 apr. 2025.

Issue

Section

Article