Information Sources and Needs in the Obesity and Diabetes Twitter Discourse

Mejova, Yelena

doi:10.1145/3194658.3194664

Cited by 11 publications

(12 citation statements)

References 35 publications

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“…Therefore, it would be interesting to check whether we recognize a similar effect in children and adolescents. Moreover, as is commonly known, many materials available on social media are not prepared on the basis of reliable and credible sources of information (e.g., 22 , 66 , 67 ). However, by increasing preventive activity in social media and using modern solutions related to social media (including the use of hashtag signs), we can have a greater impact on the health awareness of children and adolescents around the world, including fighting myths about obesity and patients who have been subject to stigmatization.…”

Section: Discussionmentioning

confidence: 99%

#childhoodobesity – A brief literature review of the role of social media in body image shaping and eating patterns among children and adolescents

et al. 2022

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Children’s food preferences are closely related to their parents’ food preferences and knowledge of food is linked to what their parents share with them. Parents, however, are not the only people who model such behavior. Paradoxically, the ubiquitous technological development can also pose a huge threat. In developed countries, 94% of teenagers use social media platforms such as: Instagram, Snapchat, Facebook, or TikTok, and this also applies to children. It can therefore be argued that parents’ nutritional preferences and behavior are related to the same behaviors of children and there is an extensive literature on this subject. It is therefore important to check how other factors – new technology (and social media in particular) – can influence changes in this area. A literature search was conducted in the following databases: Google Scholar, PubMed, EBSCO in December 2021. After applying all the filters and verification of relevance in terms of the research on the topic of interest to us, 4 articles related to research on body image and social media and 4 articles related to research on food choices and social media among children and adolescents were obtained. The conducted analysis showed that various studies so far indicate that social media can have a very strong influence on the development of eating patterns and body image in children and adolescents, which in turn may be one of the risk factors for developing obesity when promoted behaviors are not associated with a healthy lifestyle. It is also worth pointing out that social media can be used as a resource in the prevention and treatment of obesity. A closer look at this topic seems to be particularly important due to the fact that, among adults, social media is not only a very important source of information about lifestyle, but also a source of social support when people attempting to lose weight. Therefore, by increasing preventive activity in social media and using modern solutions related to social media (including the use of hashtag signs), we can have a greater impact on the health awareness of children and adolescents around the world.

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Section: Discussionmentioning

confidence: 99%

#childhoodobesity – A brief literature review of the role of social media in body image shaping and eating patterns among children and adolescents

et al. 2022

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“…Studies on Western culture highlight the stigmatization of individuals with obesity, showing that they are stigmatized and associated with laziness, low self-control, and moral laxity [ 55 ]. Social media is used to propagate social stigmatism, mainly in the form of fat-shaming, a practice of humiliating and criticizing overweight individuals on social media [ 62 ]. Mejova et al [ 62 ] found that up to 27.6% of non-URL tweets mentioning obesity were fat-shaming, with some self-hate messages.…”

Section: Resultsmentioning

confidence: 99%

“…Social media is used to propagate social stigmatism, mainly in the form of fat-shaming, a practice of humiliating and criticizing overweight individuals on social media [ 62 ]. Mejova et al [ 62 ] found that up to 27.6% of non-URL tweets mentioning obesity were fat-shaming, with some self-hate messages. In a recent study by Karami et al [ 63 ], Twitter users often coupled exercise-related terms with obesity.…”

Section: Resultsmentioning

confidence: 99%

“…In another study, Basch et al [ 69 ] analyzed the top 100 most widely viewed weight loss videos on YouTube and found only 1 professional video; consumer-created videos dominated the domain. Mejova [ 62 ] examined 1.5 million tweets mentioning obesity and diabetes and found that only 23% of the content came from verified users (ie, Twitter accounts that are associated with a governmental or academic institution). Similarly, more individuals than organizations tweeted about childhood obesity [ 67 ].…”

Section: Resultsmentioning

confidence: 99%

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Using Social Media to Understand Web-Based Social Factors Concerning Obesity: Systematic Review

Li¹,

Ademiluyi²,

Ge³

et al. 2022

JMIR Public Health Surveill

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Background Evidence in the literature surrounding obesity suggests that social factors play a substantial role in the spread of obesity. Although social ties with a friend who is obese increase the probability of becoming obese, the role of social media in this dynamic remains underexplored in obesity research. Given the rapid proliferation of social media in recent years, individuals socialize through social media and share their health-related daily routines, including dieting and exercising. Thus, it is timely and imperative to review previous studies focused on social factors in social media and obesity. Objective This study aims to examine web-based social factors in relation to obesity research. Methods We conducted a systematic review. We searched PubMed, Association for Computing Machinery, and ScienceDirect for articles published by July 5, 2019. Web-based social factors that are related to obesity behaviors were studied and analyzed. Results In total, 1608 studies were identified from the selected databases. Of these 1608 studies, 50 (3.11%) studies met the eligibility criteria. In total, 10 types of web-based social factors were identified, and a socioecological model was adopted to explain their potential impact on an individual from varying levels of web-based social structure to social media users’ connection to the real world. Conclusions We found 4 levels of interaction in social media. Gender was the only factor found at the individual level, and it affects user’s web-based obesity-related behaviors. Social support was the predominant factor identified, which benefits users in their weight loss journey at the interpersonal level. Some factors, such as stigma were also found to be associated with a healthy web-based social environment. Understanding the effectiveness of these factors is essential to help users create and maintain a healthy lifestyle.

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“…So, sarcasm detection [35][36][37][38] followed by emotion recognition is essential process for effective influential spreader selection.…”

Section: Literature Surveymentioning

confidence: 99%

A novel mathematical modeling in shift in emotion for gauging the social influential in big data streams with hybrid sarcasm detection

Kumaran

Chitrakala

2021

Concurrency and Computation

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Online social network is a platform that plays an essential role in identifying the emotional values of user-generated content such as blogs, posts, and comments along with their influential factors. Especially on Twitter, network users are growing worldwide day by day and creating a massive amount of data that is not analyzed effectively in a quick way. Identifying the most influential persons on the social network is also a challenging task over the wide range of real-time applications like recommendation systems. Now, to handle these situations, this article proposes a novel approach for prediction of information diffusion that includes emotion recognition with sarcasm detection based influence spreader identification (PID-ERSDISI). The proposed method uses the user-generated posts for emotion recognition in tandem with sarcasm detection both implicitly and explicitly. This approach helps to gauge the leverage that influences spreaders and also enhances the prediction accuracy of information diffusion in a better way. The implementation of the proposed work executed their task one after another in the following way, namely, sarcasm detection, emotional-level computation, breakpoint computation, breakpoint validation, influential user generation, and information diffusion. After the successful implementation of this proposed PID-ERSDIS, it produced prominent results against other state-of-art methods.

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Information Sources and Needs in the Obesity and Diabetes Twitter Discourse

Cited by 11 publications

References 35 publications

#childhoodobesity – A brief literature review of the role of social media in body image shaping and eating patterns among children and adolescents

#childhoodobesity – A brief literature review of the role of social media in body image shaping and eating patterns among children and adolescents

Using Social Media to Understand Web-Based Social Factors Concerning Obesity: Systematic Review

A novel mathematical modeling in shift in emotion for gauging the social influential in big data streams with hybrid sarcasm detection

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