Lynn, Theo ORCID: 0000-0001-9284-7580, Rosati, Pierangelo ORCID: 0000-0002-6070-0426, Guto, Leoni Santos ORCID: 0000-0002-0257-4214 and Endo, Patricia Takako ORCID: 0000-0002-9163-5583 (2020) Sorting the Healthy Diet Signal from the Social Media Expert Noise: Preliminary Evidence from the Healthy Diet Discourse on Twitter. International Journal of Environmental Research and Public Health, 17 (22). ISSN 1660-4601
Abstract
: Over 2.8 million people die each year from being overweight or obese, a largely preventable
disease. Social media has fundamentally changed the way we communicate, collaborate, consume,
and create content. The ease with which content can be shared has resulted in a rapid increase
in the number of individuals or organisations that seek to influence opinion and the volume of
content that they generate. The nutrition and diet domain is not immune to this phenomenon.
Unfortunately, from a public health perspective, many of these ‘influencers’ may be poorly qualified
in order to provide nutritional or dietary guidance, and advice given may be without accepted
scientific evidence and contrary to public health policy. In this preliminary study, we analyse the
‘healthy diet’ discourse on Twitter. While using a multi-component analytical approach, we analyse
more than 1.2 million English language tweets over a 16-month period in order to identify and
characterise the influential actors and discover topics of interest in the discourse. Our analysis
suggests that the discourse is dominated by non-health professionals. There is widespread use of
bots that pollute the discourse and seek to create a false equivalence on the efficacy of a particular
nutritional strategy or diet. Topic modelling suggests a significant focus on diet, nutrition, exercise,
weight, disease, and quality of life. Public health policy makers and professional nutritionists need to
consider what interventions can be taken in order to counteract the influence of non-professional and
bad actors on social media.
Metadata
Item Type: | Article (Published) |
---|---|
Refereed: | Yes |
Additional Information: | Article number: 8557 |
Uncontrolled Keywords: | healthy diet; diet; Twitter; obesity; nutrition; social media; public health communications; social influencers; influence marketing |
Subjects: | Business > Economic policy Business > Organizational learning Social Sciences > Communication |
DCU Faculties and Centres: | DCU Faculties and Schools > DCU Business School |
Publisher: | MDPI |
Official URL: | https://dx.doi.org/10.3390/ijerph17228557 |
Copyright Information: | © 2020 The Authors. Open Access (CC-BY-4.0) |
ID Code: | 25941 |
Deposited On: | 01 Jun 2021 15:32 by Pierangelo Rosati . Last Modified 09 Aug 2022 13:36 |
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