Exposure and power of TV food advertising during the COVID-19 pandemic in Brazil: a content analysis.

BACKGROUND: With the COVID-19 pandemic and the restrictions imposed to contain the spread of SARS-CoV-2, the Brazilian population has increased the time spent at home and watching television (TV). Since food advertising exposure is a key driver of food choices, this study described the content of food advertisements (ads) on Brazilian TV during the COVID-19 pandemic. METHODS: This is an exploratory study. A total of 684 h of TV programming comprised of three free-to-air channels and two pay-per-view channels was recorded from 06 a.m. to 12 a.m. for eight non-consecutive days in June 2020. A content analysis of all the food-related ads was carried out. The data collection process followed INFORMAS Protocol for TV food advertising monitoring. RESULTS: The sample was composed of 7,083 ads, 752 (10.6%) of which were food-related and 487 (6.9%) were promoting ultra-processed foods. The content analysis indicated seven thematic categories, all of them with reference to the COVID-19 pandemic: brand and product differentials (79.8%); visual and sound effects (70.2%); thematic campaigns (56.0%); digitization (22.9%); convenience (16.5%); economic benefits (11.9%); and commensality and social interaction (6.1%). Ads content varied according to the day of the week, the time of the day, the length of the ad, and the channel type. CONCLUSIONS: The thematic of food advertising on Brazilian TV during the COVID-19 pandemic is aligned with the country's health crisis context and varied during the programming.

Revolutionising food advertising monitoring: a machine learning-based method for automated classification of food videos.

OBJECTIVE: Food advertising is an important determinant of unhealthy eating. However, analysing a large number of advertisements (ads) to distinguish between food and non-food content is a challenging task. This study aims to develop a machine learning-based method to automatically identify and classify food and non-food ad videos. DESIGN: Methodological study to develop an algorithm model that prioritises both accuracy and efficiency in monitoring and classifying advertising videos. SETTING: From a collection of Brazilian television (TV) ads data, we created a database and split it into three sub-databases (i.e. training, validation and test) by extracting frames from ads. Subsequently, the training database was classified using the EfficientNet neural network. The best models and data-balancing strategies were investigated using the validation database. Finally, the test database was used to apply the best model and strategy, and results were verified with field experts. PARTICIPANTS: The study used 2124 recorded Brazilian TV programming hours from 2018 to 2020. It included 703 food ads and over 20 000 non-food ads, following the protocol developed by the INFORMAS network for monitoring food marketing on TV. RESULTS: The results showed that the EfficientNet neural network associated with the balanced batches strategy achieved an overall accuracy of 90·5 % on the test database, which represents a reduction of 99·9 % of the time spent on identifying and classifying ads. CONCLUSIONS: The method studied represents a promising approach for differentiating food and non-food-related video within monitoring food marketing, which has significant practical implications for researchers, public health policymakers, and regulatory bodies.

Food advertising on YouTube channels aimed at children in Brazil.

OBJECTIVE: To analyze food advertising on YouTube channels aimed at children in Brazil and the interaction of the public with this type of advertising. METHODS: We analyzed the 10 most popular videos from the 25 YouTube most-watched channels with content aimed at children in the country in 2018. The presence of general advertising, food brands and food services was identified. When there was advertising in the videos, the foods and their respective brands were described, the first being classified according to the NOVA system. In cases of advertising of a specific food brand without its product having been displayed or mentioned, the classification was carried out according to the predominance of that company products. The number of visualizations and interactions ("likes" and "dislikes") was also collected. RESULTS: General advertising was identified in 45.6% of videos, while food and food service advertising was present in 12.9% and 1.6% of videos, respectively. Food advertisements were mostly represented by ultra-processed products (n = 30; 93.8%). In channels led by Kid YouTubers, there was a higher frequency of general advertising, food and food services in the videos. In these channels, the advertisements of food in general and ultra-processed foods were respectively 2.79 and 2.53 times higher than in videos of channels not led by Kid YouTubers. The number of times videos were tagged "liked" was higher in videos with food advertising (1.67 × 105) compared to videos without food advertising (1.02 × 105), p = 0.0272. CONCLUSION: YouTube is a potential medium for children's exposure and interaction with ultra-processed food advertising. The results of this analysis reinforce the importance of enforcing regulations prohibiting children's advertising on this platform.

Food advertising aimed at children and adolescents in Brazil: a longitudinal analysis of denouncements in CONAR. / Publicidade de alimentos direcionada à criança e ao adolescente no Brasil: análise longitudinal de denúncias no CONAR.

Scientific evidences show that self-regulation models fail to protect children and adolescents from commercial exploitation. In Brazil, the "Conselho Nacional de Autorregulamentação Publicitária - CONAR" is the entity that proposes guidelines for the products advertising and services to regulated sector. The aim is to analyze the denouncements of food advertising aimed at children and adolescents sent to CONAR between 2010 and 2020. The denouncements were described regarding the type of product and service, authorship (consumers/companies or CONAR), and CONAR decision (archiving/penalties). Descriptive and association analyzes were performed. Ninety-eight denouncements were identified, 74.8% of ultra-processed foods. There was an oscillation in the submission of denouncements over the years, with a general decline trend. Consumers were more frequent among the denouncements (58.6%) and 53.3% of total were penalty. Denouncements sent by CONAR or companies were more frequently penalized than those sent by consumers. There was a predominance of denouncements of advertisements for ultra-processed foods and low application of penalties. There was a lack of isonomy in CONAR decision pattern on advertisements.

Evidências científicas mostram que os modelos de autorregulação falham na proteção de crianças e adolescentes da exploração comercial. No Brasil, o Conselho Nacional de Autorregulamentação Publicitária (CONAR) é a entidade que propõe ao setor regulado as diretrizes para a publicidade de produtos e serviços. O objetivo é analisar as denúncias de publicidade de alimentos direcionada à criança e ao adolescente enviadas ao CONAR entre 2010 e 2020. As denúncias foram identificadas quanto ao tipo de produto e serviço, autoria (consumidores/empresas ou CONAR) e decisão do CONAR (arquivamento/penalidades). Foram realizadas análises descritivas e de associação, identificando-se 98 denúncias, 74,8% de alimentos ultraprocessados. Notou-se oscilação no envio de denúncias ao longo dos anos, com tendência geral de redução. Consumidores foram mais frequentes (58,6%) entre os autores das denúncias e 53,3% do total foram penalizadas. As denúncias enviadas pelo CONAR ou empresas foram mais frequentemente penalizadas do que as enviadas pelos consumidores. Houve predominância de denúncias de publicidades de alimentos ultraprocessados e baixa aplicação de penalidades. Notou-se falta de isonomia no padrão de decisão do CONAR sobre as publicidades.

Publicidade de alimentos direcionada à criança e ao adolescente no Brasil: análise longitudinal de denúncias no CONAR / Food advertising aimed at children and adolescents in Brazil: a longitudinal analysis of denouncements in CONAR

Resumo Evidências científicas mostram que os modelos de autorregulação falham na proteção de crianças e adolescentes da exploração comercial. No Brasil, o Conselho Nacional de Autorregulamentação Publicitária (CONAR) é a entidade que propõe ao setor regulado as diretrizes para a publicidade de produtos e serviços. O objetivo é analisar as denúncias de publicidade de alimentos direcionada à criança e ao adolescente enviadas ao CONAR entre 2010 e 2020. As denúncias foram identificadas quanto ao tipo de produto e serviço, autoria (consumidores/empresas ou CONAR) e decisão do CONAR (arquivamento/penalidades). Foram realizadas análises descritivas e de associação, identificando-se 98 denúncias, 74,8% de alimentos ultraprocessados. Notou-se oscilação no envio de denúncias ao longo dos anos, com tendência geral de redução. Consumidores foram mais frequentes (58,6%) entre os autores das denúncias e 53,3% do total foram penalizadas. As denúncias enviadas pelo CONAR ou empresas foram mais frequentemente penalizadas do que as enviadas pelos consumidores. Houve predominância de denúncias de publicidades de alimentos ultraprocessados e baixa aplicação de penalidades. Notou-se falta de isonomia no padrão de decisão do CONAR sobre as publicidades.

Abstract Scientific evidences show that self-regulation models fail to protect children and adolescents from commercial exploitation. In Brazil, the "Conselho Nacional de Autorregulamentação Publicitária - CONAR" is the entity that proposes guidelines for the products advertising and services to regulated sector. The aim is to analyze the denouncements of food advertising aimed at children and adolescents sent to CONAR between 2010 and 2020. The denouncements were described regarding the type of product and service, authorship (consumers/companies or CONAR), and CONAR decision (archiving/penalties). Descriptive and association analyzes were performed. Ninety-eight denouncements were identified, 74.8% of ultra-processed foods. There was an oscillation in the submission of denouncements over the years, with a general decline trend. Consumers were more frequent among the denouncements (58.6%) and 53.3% of total were penalty. Denouncements sent by CONAR or companies were more frequently penalized than those sent by consumers. There was a predominance of denouncements of advertisements for ultra-processed foods and low application of penalties. There was a lack of isonomy in CONAR decision pattern on advertisements.

Characteristics of food establishments registered with a meal delivery app in Latin America.

Numerous studies have characterised the establishments registered with meal delivery apps (MDA) in several countries. However, little evidence is available regarding these platforms in Latin America (LA). The purpose of this study is to characterise food establishments registered with an MDA in nine LA cities. The establishments (n 3339) were characterised by the following keyword groups: 'Typical cuisine', 'Meat and fish', 'Snacks', 'Breakfast', 'Desserts' and 'Healthy'. In addition, we identified the marketing strategies present in the establishments' advertisements: photos, discounts and free delivery. Mexico City had the highest number of establishments registered with MDA (773), followed by Bogotá (655), Buenos Aires (567) and São Paulo (454). There is a direct relationship between the number of inhabitants of the cities and the number of the registered establishments. 'Snacks' was the keyword group most used by establishments in five of the nine cities. Establishments in two cities were most often characterised by the terms 'Typical cuisine' (Mexico City and Santiago de Chile) and 'Meats and fish' (Quito and San Jose). Photos were present in the advertisements of at least 84·0 % of the establishments. In addition, at least 40 % of establishments in Montevideo, Bogotá, São Paulo, Lima and Santiago de Chile offered discounts. Free delivery was present in at least 50 % of establishments in Quito, San Jose, Mexico City, Santiago de Chile and Lima. Photos were also the most common marketing strategy used by the establishments classified in all groups of keywords, while free delivery and discounts differed among them.

Scientific research on food environments in Brazil: a scoping review.

OBJECTIVE: To map the scientific research on food environments in Brazil, based on the following questions: How many studies have addressed food environments?; What study designs and methodological approaches were applied?; What is the geographic scope of the studies?; What scenarios and dimensions of food environments were studied?; Which population groups were studied?; How were food environments conceptualised?; What are the main limitations of the studies? DESIGN: Scoping review conducted in four databases, from January 2005 to December 2022, using different food environment-related terms to cover the main types and dimensions proposed in the literature. The studies were independently selected by two authors. A narrative synthesis was used to summarise the findings. SETTING: Brazil. PARTICIPANTS: 130 articles. RESULTS: Scientific research on Brazilian food environments has been increasing. The analytical quantitative approach and the cross-sectional design were the most frequently used. Most articles were published in English. The majority of studies evaluated the community food environment, addressed aspects of the physical dimension, sampled the adult population, had food consumption as an outcome, used primary data, and were carried out in capital cities in the Southeast region. Furthermore, in most articles, no conceptual model was explicitly adopted. CONCLUSIONS: Gaps in literature are related to the need for conducting studies in the Brazilian countryside, the support for the formulation of research questions based on conceptual models, the use of valid and reliable instruments to collect primary data, in addition to the need for a greater number of longitudinal, intervention and qualitative studies.

A Scoping Review of Observational Studies on Food and Beverage Advertising on Social Media: A Public Health Perspective.

Popular social media platforms have been actively used by ultra-processed food companies to promote their products. Being exposed to this type of advertising increases the consumption of unhealthy foods and the risk of developing obesity and other non-communicable diseases (NCDs). Thus, monitoring commercial content on social media is a core public health practice. We aimed to characterize the methods used for monitoring food advertising on social media and summarize the investigated advertising strategies via a scoping review of observational studies. This study is reported according to the MOOSE Statement, and its protocol was registered with the PROSPERO International Prospective Register of Systematic Reviews (registration nº. CRD42020187740). Out of the 6093 citations retrieved, 26 met our eligibility criteria. The studies were published from 2014 to 2021, mostly after 2018. They focused on Australia, Facebook, strategies aimed at children and adolescents, and advertising practices of ultra-processed food companies. We grouped strategies in eight classes: post features (n = 18); connectivity and engagement (n = 18); economic advantages, gifts, or competitions (n = 14); claims (n = 14); promotional characters (n = 12); brand in evidence (n = 8); corporate social responsibility or philanthropy (n = 7); and COVID-19 (n = 3). We found similarities in the investigation of strategies regardless of the type of social media. Our findings can contribute to the designing of tools for monitoring studies and regulatory mechanisms to restrict the exposure of food advertising.

Digital marketing of online food delivery services in a social media platform before and during COVID-19 pandemic in Brazil.

OBJECTIVE: To describe the promotion of food and beverage and marketing strategies used by online food delivery services (OFDS) in a social media platform before and during the pandemic in Brazil. DESIGN: Publicly available data were extracted from OFDS Instagram accounts. Posts published 6 months immediately before and after the first case of COVID-19 in Brazil were randomly sampled. Two independent authors coded the posts' content. Food and beverage items featured in posts were classified according to the NOVA food system classification. Marketing strategies were coded according to protocols from previous studies. SETTING: Top three OFDS Instagram accounts in Brazil. PARTICIPANTS: Posts published in the period studied (n 304). RESULTS: During the pandemic, the proportion of posts featuring at least one food item decreased from 71·6 % to 40·2 %, and the proportion of ultra-processed foods decreased from 57·6 % to 27·9 %. Before the pandemic, the most widely used marketing strategies were branding elements (80·7 %), product imagery (unbranded) (48·9 %) and partnerships/sponsorship (35·2 %). While during the pandemic, branding elements (62·2 %) continued to be the most applied, but were followed by the use of videos/graphics interchange format/boomerangs (34·1 %) and corporate social responsibility (31·7 %). The most frequent COVID-19 marketing strategies were 'social responsibility in the pandemic' (30·5 %), 'combatting the pandemic' (28·0 %) and 'accelerating digitalisation' (20·7 %). CONCLUSIONS: OFDS advertisements on a social media platform placed less emphasis on food items, but improved the nutritional quality of foods and beverages featured in posts. A COVID-washing approach was highlighted, especially through the use of social responsibility marketing during the pandemic.

Food advertising on YouTube channels aimed at children in Brazil / Publicidade de alimentos em canais do YouTube direcionados à criança no Brasil

ABSTRACT OBJECTIVE To analyze food advertising on YouTube channels aimed at children in Brazil and the interaction of the public with this type of advertising. METHODS We analyzed the 10 most popular videos from the 25 YouTube most-watched channels with content aimed at children in the country in 2018. The presence of general advertising, food brands and food services was identified. When there was advertising in the videos, the foods and their respective brands were described, the first being classified according to the NOVA system. In cases of advertising of a specific food brand without its product having been displayed or mentioned, the classification was carried out according to the predominance of that company products. The number of visualizations and interactions ("likes" and "dislikes") was also collected. RESULTS General advertising was identified in 45.6% of videos, while food and food service advertising was present in 12.9% and 1.6% of videos, respectively. Food advertisements were mostly represented by ultra-processed products (n = 30; 93.8%). In channels led by Kid YouTubers, there was a higher frequency of general advertising, food and food services in the videos. In these channels, the advertisements of food in general and ultra-processed foods were respectively 2.79 and 2.53 times higher than in videos of channels not led by Kid YouTubers. The number of times videos were tagged "liked" was higher in videos with food advertising (1.67 × 105) compared to videos without food advertising (1.02 × 105), p = 0.0272. CONCLUSION YouTube is a potential medium for children's exposure and interaction with ultra-processed food advertising. The results of this analysis reinforce the importance of enforcing regulations prohibiting children's advertising on this platform.

RESUMO OBJETIVO Analisar a publicidade de alimentos em canais do YouTube direcionados à criança no Brasil e a interação do público com esse tipo de publicidade. MÉTODOS Foram analisados os 10 vídeos mais populares dos 25 canais do YouTube com conteúdo dirigido ao público infantil mais assistidos no país em 2018. Identificou-se a presença de publicidade geral, de marcas de alimentos e de serviços de alimentação. Quando houve publicidade nos vídeos, os alimentos e suas respectivas marcas foram descritos, sendo os primeiros classificados segundo o sistema NOVA. Nos casos de publicidade de uma marca de alimentos específica, sem que o seu produto tenha sido exibido ou mencionado, a classificação foi realizada segundo a predominância dos produtos dessa empresa. Coletou-se, também, o número de visualizações e de interações ("gostei" e "não gostei"). RESULTADOS A publicidade geral foi identificada em 45,6% dos vídeos, enquanto a publicidade de alimentos e de serviços de alimentação esteve presente em 12,9% e 1,6% dos vídeos, respectivamente. Os anúncios de alimentos foram representados em sua maioria por produtos ultraprocessados (n = 30; 93,8%). Em vídeos de canais liderados por youtubers mirins, observou-se uma maior frequência de publicidade geral, de alimentos e de serviços de alimentação. Nesses canais, as veiculações de publicidade de alimentos em geral e de alimentos ultraprocessados foram respectivamente 2,79 e 2,53 vezes maior do que nos vídeos de canais não liderados por youtubers mirins. O número de vezes em que os vídeos foram marcados com "gostei" foi maior nos vídeos com publicidade de alimentos (1,67 × 105) em comparação aos vídeos sem publicidade de alimentos (1,02 × 105), p = 0,0272. CONCLUSÃO O YouTube é um potencial meio de exposição e interação de crianças com a publicidade de alimentos ultraprocessados. Os resultados desta análise reforçam a importância de fazer cumprir a regulamentação de proibição de publicidade infantil nessa plataforma.