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The study aimed to analyse the nutritional quality of self-proposed or prescribed weight-loss diets shared by female Korean adolescents through a social media platform and identified potential dietary problems.

A total of 317 weight-loss diets, shared by 107 female adolescents between the ages of 12 and 18 in April 2019, were collected from three Kakao Open Chat rooms of which the main topic was “weight-loss diet”. The weight-loss diets were converted to daily energy and nutrient intake.

Approximately two-thirds of the subjects were normal or underweight, and more than half of them were limiting energy intake to less than half of the recommended daily amounts. The average daily intake of energy and most nutrients did not meet the standard intake levels. Approximately 20% of the subjects were breakfast skippers, while 8 and 5% were dinner and lunch skippers, respectively. Notably, meal skippers tended to fast longer and have an uneven distribution of daily energy intake per meal. The percentages of energy contribution from macronutrients, particularly carbohydrates, also deviated more from the acceptable range in the meal skippers. The weight-loss diets of the subjects with particularly low daily energy intake were categorised into simplified, unbalanced and nutrient-poor, energy-dense meals. Overall, the nutritional quality of the self-proposed or prescribed weight-loss diets was poor. More effective and proactive educational interventions in school environments should be developed to promote positive eating behaviours in adolescents and free them from their obsession with body image.

To the best of the authors’ knowledge, this study is the first attempt to analyse the nutritional quality of female adolescents' self-proposed or prescribed weight-loss diets.

The purpose of this paper is to propose a conceptual model to investigate the determinants of information retweeting in microblogging based on Heuristic‐Systematic Model.

Microblogging data about emergency events from Sina microblogging (http://weibo.com) are collected and analyzed with text mining technology. The proposed hypotheses are tested with logistic and multiple linear regressions.

The results show that source trustworthiness, source expertise, source attractiveness, and the number of multimedia have significant effects on the information retweeting. In addition, source expertise moderates the effects of user trustworthiness and content objectivity on the information retweeting in microblogging.

This study provides an in‐depth understanding of what makes information about emergency events in microblogging diffuse so rapidly. Based on these findings the emergency management organizations in China can apply the microblogging to spread useful information, and these findings also provide practical implications for microblogging system designers.

The primary value of this paper lies in providing a better understanding of information retweeting in microblogging based on Heuristic‐Systematic Model. Organizations that would like to adopt the microblogging platform in emergency situations to improve the ability of emergency response can benefit from the findings of this study.