
← Nutrition Science Bites with Professor Clare Collins AO21 sept. · 33 min
How do you spot 'fake' nutrition news? ...with Alex Ruani
In this episode, Prof Clare Collins talks with Alex Ruani from University College London in the UK about the complexities of misinformation, especially in nutrition. They discuss how online platforms could better regulate inaccurate content through risk assessments and expert involvement.
Key topics covered include:-
Definition of misinformation beyond falsehoodsMisleadingness and its effects on health decisionsPrevalence of nutrition misinformation onlineImpact of social media algorithms on misinformation spreadThe importance of expert-led risk assessmentsRegulatory approaches to online misinformationThe role of platforms in promoting accurate informationTools for detecting and mitigating harmful content
Resources
Research paper on development of the Diet-Misinformation Tool. Ruani, et al. Development and validation of a tool for detecting misinformation risk in diet, nutrition, and health content (Diet-MisRAT). Sci Rep. 2026 Mar 27;16(1):9207. No Money No Time: How to Spot Misleading Nutrition Advice Online. https://nomoneynotime.com.au/hacks-myths-faqs/how-to-spot-misleading-nutrition-advice-onlineTo access the Healthy Eating Quiz: Click on the top right hand 'green button' called 'How healthy is my diet' https://nomoneynotime.com.au/Want a more Personalised Food, Nutrient Assessment Report? Use our Australian Eating Survey - New Digital Download - UON Nutrition CoursesAre you in a position to make donation to support our No Money No Time website? Donate here
Here's the link to the No Money No Time closed Facebook group (be sure to take the Healthy Eating Quiz first) https://www.facebook.com/groups/386824626838448
Our No Money No Time email: nmnt@newcastle.edu.au and our Nutrition Science Bites email: nutritionsciencebites@newcastle.edu.au
Keywords: #misinformation, #nutrition, #onlinesafety, #riskassessment, #socialmedia, #healthmisinformation, #regulation, #AI, #platformresponsibility
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