Healthfulness Assessment of Recipes Shared on Pinterest: Natural Language Processing and Content Analysis

Mediterranean Diet Information on TikTok and Implications for Digital Health Promotion Research: Social Media Content Analysis

BACKGROUND

The Mediterranean diet has been linked to reduced risk for several cardiometabolic diseases. The lack of a clear definition of the Mediterranean diet in the scientific literature and the documented proliferation of nutrition misinformation on the internet suggest the potential for confusion among consumers seeking web-based Mediterranean diet information.

OBJECTIVE

We conducted a social media content analysis of information about the Mediterranean diet on the influential social media platform, TikTok, to examine public discourse about the diet and identify potential areas of misinformation. We then analyzed these findings in the context of health promotion to identify potential challenges and opportunities for the use of TikTok in promoting the Mediterranean diet for healthy living.

METHODS

The first-appearing 202 TikTok posts that resulted from a search of the hashtag #mediterraneandiet were downloaded and qualitatively examined. Post features and characteristics, poster information, and engagement metrics were extracted and synthesized across posts. Posts were categorized as those created by health professionals and those created by nonhealth professionals based on poster-reported credentials. In addition to descriptive statistics of the entire sample, we compared posts created by professionals and nonprofessionals for content using chi-square tests.

RESULTS

TikTok posts varied in content, but posts that were developed by health professionals versus nonprofessionals were more likely to offer a definition of the Mediterranean diet (16/106, 15.1% vs 2/96, 2.1%; P=.001), use scientific citations to support claims (26/106, 24.5% vs 0/96, 0%; P<.001), and discuss specific nutrients (33/106, 31.1% vs 6/96, 6.3%; P<.001) and diseases related to the diet (27/106, 25.5% vs 5/96, 5.2%; P<.001) compared to posts created by nonhealth professionals.

CONCLUSIONS

Social media holds promise as a venue to promote the Mediterranean diet, but the variability in information found in this study highlights the need to create clear definitions about the diet and its components when developing Mediterranean diet interventions that use new media structures.

The use of sentiment and emotion analysis and data science to assess the language of nutrition-, food- and cooking-related content on social media: a systematic scoping review

Social media data are rapidly evolving and accessible, which presents opportunities for research. Data science techniques, such as sentiment or emotion analysis which analyse textual emotion, provide an opportunity to gather insight from social media. This paper describes a systematic scoping review of interdisciplinary evidence to explore how sentiment or emotion analysis methods alongside other data science methods have been used to examine nutrition, food and cooking social media content. A PRISMA search strategy was used to search nine electronic databases in November 2020 and January 2022. Of 7325 studies identified, thirty-six studies were selected from seventeen countries, and content was analysed thematically and summarised in an evidence table. Studies were published between 2014 and 2022 and used data from seven different social media platforms (Twitter, YouTube, Instagram, Reddit, Pinterest, Sina Weibo and mixed platforms). Five themes of research were identified: dietary patterns, cooking and recipes, diet and health, public health and nutrition and food in general. Papers developed a sentiment or emotion analysis tool or used available open-source tools. Accuracy to predict sentiment ranged from 33·33% (open-source engine) to 98·53% (engine developed for the study). The average proportion of sentiment was 38·8% positive, 46·6% neutral and 28·0% negative. Additional data science techniques used included topic modelling and network analysis. Future research requires optimising data extraction processes from social media platforms, the use of interdisciplinary teams to develop suitable and accurate methods for the subject and the use of complementary methods to gather deeper insights into these complex data.

Designing a Digital Culinary Education Intervention for Parents With Low Income

OBJECTIVE

To examine cooking practices, online information-seeking habits, and intervention preferences among parents with low income to inform the development of a digital cooking intervention on the basis of the Healthy Cooking Index.

METHODS

This formative research study included a brief survey followed by in-depth interviews (from February to April, 2021) with parents of a child aged 6-11 years with low income (n = 20; 100% female, 70% African American or Hispanic White). Interview transcripts were analyzed using a semistructured hybrid coding approach.

RESULTS

Three main themes were identified to inform the development of the intervention: (1) current Healthy Cooking Index behaviors, (2) preferences for digital cooking intervention content, and (3) design and delivery preferences. A 7-step process was used to develop the intervention and integrate qualitative findings.

CONCLUSIONS AND IMPLICATIONS

Online culinary programs targeting parents with low income may consider short, mobile-friendly video formats and focus on easy-to-prepare recipes adaptable to family preferences.

Healthiness and environmental impact of dinner recipes vary widely across developed countries

Contrary to food ingredients, little is known about recipes' healthiness or environmental impact. Here we examine 600 dinner recipes from Norway, the UK and the USA retrieved from cookbooks and the Internet. Recipe healthiness was assessed by adherence to dietary guidelines and aggregate health indicators based on front-of-pack nutrient labels, while environmental impact was assessed through greenhouse gas emissions and land use. Our results reveal that recipe healthiness strongly depends on the healthiness indicator used, with more than 70% of the recipes being classified as healthy for at least one front-of-pack label, but less than 1% comply with all dietary guidelines. All healthiness indicators correlated positively with each other and negatively with environmental impact. Recipes from the USA, found to use more red meat, have a higher environmental impact than those from Norway and the UK.

Social Media Data Mining of Antitobacco Campaign Messages: Machine Learning Analysis of Facebook Posts

BACKGROUND

Social media platforms provide a valuable source of public health information, as one-third of US adults seek specific health information online. Many antitobacco campaigns have recognized such trends among youth and have shifted their advertising time and effort toward digital platforms. Timely evidence is needed to inform the adaptation of antitobacco campaigns to changing social media platforms.

OBJECTIVE

In this study, we conducted a content analysis of major antitobacco campaigns on Facebook using machine learning and natural language processing (NLP) methods, as well as a traditional approach, to investigate the factors that may influence effective antismoking information dissemination and user engagement.

METHODS

We collected 3515 posts and 28,125 associated comments from 7 large national and local antitobacco campaigns on Facebook between 2018 and 2021, including the Real Cost, Truth, CDC Tobacco Free (formally known as Tips from Former Smokers, where "CDC" refers to the Centers for Disease Control and Prevention), the Tobacco Prevention Toolkit, Behind the Haze VA, the Campaign for Tobacco-Free Kids, and Smoke Free US campaigns. NLP methods were used for content analysis, including parsimonious rule-based models for sentiment analysis and topic modeling. Logistic regression models were fitted to examine the relationship of antismoking message-framing strategies and viewer responses and engagement.

RESULTS

We found that large campaigns from government and nonprofit organizations had more user engagements compared to local and smaller campaigns. Facebook users were more likely to engage in negatively framed campaign posts. Negative posts tended to receive more negative comments (odds ratio [OR] 1.40, 95% CI 1.20-1.65). Positively framed posts generated more negative comments (OR 1.41, 95% CI 1.19-1.66) as well as positive comments (OR 1.29, 95% CI 1.13-1.48). Our content analysis and topic modeling uncovered that the most popular campaign posts tended to be informational (ie, providing new information), where the key phrases included talking about harmful chemicals (n=43, 43%) as well as the risk to pets (n=17, 17%).

CONCLUSIONS

Facebook users tend to engage more in antitobacco educational campaigns that are framed negatively. The most popular campaign posts are those providing new information, with key phrases and topics discussing harmful chemicals and risks of secondhand smoke for pets. Educational campaign designers can use such insights to increase the reach of antismoking campaigns and promote behavioral changes.

Reading, sharing, creating Pinterest recipes: Parental engagement and feeding behaviors

Pediatric overweight and obesity are associated with serious health concerns both during childhood and in adulthood. Visual social media platform Pinterest is often used to curate recipe content, but little is known about how, if at all, parents use the platform as a resource for meal planning for their families. This study focused on (1) describing how Pinterest using parents use the platform related to recipe searches and meal planning and (2) examining the association between parental feeding behaviors and frequency of Pinterest use related to recipes. Survey research firm Qualtrics was used to collect a nationwide sample of 659 Pinterest-using parents with children between ages 3-11 years of age. Data collection was initiated and completed in February of 2019. Measures included both parent and child demographics, Pinterest recipe use and engagement, and parental feeding practices using the Child Feeding Questionnaire (CFQ). Results showed that 26.9% of the respondents reported using Pinterest daily to read recipes, 17.9% to share recipes; 14.9% to comment on recipes on Pinterest; 10.3% reported creating and posting new recipes; and 13.8% mentioned making a recipe they find on Pinterest daily. Pinterest engagement was significantly negatively associated with parental age and with income insecurity, while positively associated with level of education. Hispanic participants showed higher levels of engagement as compared to White non-Hispanic participants. Among the CFQ subscales, Pressure and Perceived responsibility were significantly positively associated with Pinterest engagement while Monitoring and Restriction were not.

E-cigarette use during pregnancy and its association with adverse birth outcomes in the US

The popularity of e-cigarette use among young adults is a growing concern. However, little is known about factors associated with e-cigarette use in pregnant women and birth outcomes. In this retrospective cohort study, we evaluated the influence of several factors on behavioral changes in e-cigarette use before and during pregnancy, and assessed the association between e-cigarette use and subsequent birth outcomes among pregnant women. The Population Assessment of Tobacco and Health (PATH) study, a government-sponsored national longitudinal study based in the US, Waves 1 through 4 (2013-2018) were used. Multivariate logistic regressions were conducted to estimate behavioral changes in e-cigarette use during pregnancy and subsequent influence on high-risk birth (e.g., preterm birth, low birth weight, birth defects, etc.) and fetal death. Although pregnant women who quit vaping before pregnancy (OR = 1.14, 95% CI 0.54-2.40) or had any use during pregnancy (OR = 1.19, 95% CI 0.38-3.73) showed non-differential risk of having a high-risk birth in comparison to women who did not initiate vaping, we observed that the usage of mint/menthol flavor was correlated with higher risk of fetus death (OR = 3.27, 95% CI 1.17-9.19). Healthcare providers should encourage e-cigarette users to quit prior to and during early pregnancy.

Ultra-Processed Foods as Ingredients of Culinary Recipes Shared on Popular Brazilian YouTube Cooking Channels

Social media platforms are readily accessible sources of information about cooking, an activity deemed crucial for the improvement of a population’s diet. Previous research focused on the healthiness of the content shared on websites and blogs, but not on social media such as YouTube®. This paper analysed the healthiness of 823 culinary recipes retrieved from 755 videos shared during a six-month period on ten popular Brazilian YouTube® cooking channels. Recipes were categorized by type of preparation. To assess recipes’ healthiness, ingredients were classified according to the extension and purpose of industrial processing, in order to identify the use of ultra-processed foods. Additionally, a validated framework developed from criteria established in both editions of the Dietary Guidelines for the Brazilian Population was employed. Recipes for cakes and baked goods, puddings, snacks and homemade fast foods, which were among the most frequently posted, contained the lowest proportion of unprocessed/minimally processed ingredients and the highest proportion of ultra-processed ingredients. Recipes containing whole cereals, fruits, legumes, nuts, and seeds were scarce. Results indicate that users should be critical about the quality of recipes shared on YouTube® videos, also indicating a need for strategies aimed at informing individuals on how to choose healthier recipes or adapt them to become healthier.

The Online Cancer Nutrition Misinformation: A framework of behavior change based on exposure to cancer nutrition misinformation

BACKGROUND

Patients with cancer and caregivers increasingly use the internet to find health and lifestyle information, yet online recipes, diet, and nutrition content are unregulated and may be confusing or even misleading. We describe cancer-related nutrition and meal planning information from Pinterest.

METHODS

In June 2020, we searched Pinterest using "cancer recipe" and "recipe for cancer" at 3 times daily for 2 weeks. Duplicates were removed for a final sample of n = 103 pins. Each pin was coded for 58 variables including descriptives, cancer claims (eg, treatment, prevention, and cure), and nutrition claims (eg, "turmeric cures cancer"). We summarized each variable to describe the content of cancer nutrition claims on Pinterest and examined associations between claim types and contextual factors, including the use of academic citations, disclaimers, and personal anecdotes.

RESULTS

Pinners had on average 116,767 followers (range, 0-1.5 million). Almost half of content sites were for profit (48.5%) and 34% were selling a product. Health claims were common, with content that purported to prevent (41.8%), treat (27.2%), or cure (10.7%) cancer. Vague phrases such as "anti-cancer," "cancer-fighting," or "cancer-busting" were also used. The inclusion of validity indicators including academic citations, disclaimers, and personal anecdotes varied significantly by the types of claims made. Together, these analyses informed the development of a conceptual framework of cancer-related nutrition misinformation.

CONCLUSIONS

There are clear financial incentives for the promotion of cancer nutrition information online. More research is needed to understand how exposure to nutrition information can influence patient/caregiver behavior and downstream clinical and psychosocial outcomes.