Vaping associated with healthy food words: A content analysis of Twitter

Basáñez, Tatiana; Majmundar, Anuja; Cruz, Tess Boley; Unger, Jennifer B.

doi:10.1016/j.abrep.2018.09.007

Cited by 13 publications

(3 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The paper makes a contribution to psycholinguistics, while the findings might be also used in marketing. The content analysis of Twitter, done by T. Basáñez et al (2018), was aimed at examining tweets about e-cigarettes and vaping. The scholars used a pattern of analysis similar to the one employed in the current research.…”

Section: Introductionmentioning

confidence: 99%

Implicit vs explicit evaluation: How English-speaking Twitter users discuss migration problems

Gabrielova

Maksimenko

2021

Russian Journal of Linguistics

View full text Add to dashboard Cite

The current research answers the question how Twitter users express their evaluation of topical social problems (explicitly or implicitly) and what linguistic means they use, being restricted by the allowed length of the message. The article explores how Twitter users communicate with each other and exchange ideas on social issues of great importance, express their feelings using a number of linguistic means, while being limited by a fixed number of characters, and form solidarity, being geographically distant from each other. The research is focused on the linguistic tools employed by Twitter users in order to express their personal attitude. The subject chosen for study was the migration processes in Europe and the USA. The aim of the current investigation is to determine the correlation between the attitudes of English-speaking users towards migration and the way they are expressed implicitly or explicitly. The authors make an attempt to define which tools contribute to the implicit or explicit nature of the utterances. The material includes 100 tweets of English-speaking users collected from February 1 to July 31, 2017. The choice of the time period is defined by significant events in Trumps migration policy and their consequences. The research is based on the content analysis of the material carried out by means of the Atlas.ti program. The software performs the coding of textual units, counts the frequency of codes and their correlation. The results of the research show that Twitter users tend to express their critical attitudes towards migration, rather than approve of it or sympathise with migrants. Criticism is more often expressed implicitly rather than explicitly. In order to disguise the attitude and feelings, the English-speaking users of Twitter employed irony, questions and quotations, while the explicit expression of attitudes was done by means of imperative structures. It is also worth mentioning that ellipses, contractions and abbreviations were used quite frequently due to the word limit of tweets. At the same time, the lack of knowledge about extralinguistic factors and personal characteristics of users makes the process of interpretation of tweets rather challenging. The findings of the current research suggest the necessity to take into account implicit negative attitudes while carrying out the analysis of public opinion on Twitter.

show abstract

Section: Introductionmentioning

confidence: 99%

Implicit vs explicit evaluation: How English-speaking Twitter users discuss migration problems

Gabrielova

Maksimenko

2021

Russian Journal of Linguistics

View full text Add to dashboard Cite

show abstract

“…Kong et al (2015) concluded about half of the vape trick videos on YouTube were industry-sponsored and all were youth-accessible. Basáñez et al (2018) categorized and compared 1,205 vaping tweets. They found vaping-promoting themed tweets ("health-enhancing," "youth-resonant," "sensations," or "harmless") were statistically more likely to originate from a marketing source than smoking prevention tweets (cessation use or anti-vaping).…”

mentioning

confidence: 99%

Targeted Education for School Staff on Electronic Nicotine Delivery Systems: A Nurse Led Intervention

Smith

Boehm

Strang

et al. 2021

The Journal of School Nursing

View full text Add to dashboard Cite

There is a public health epidemic in adolescents’ use of Electronic Nicotine Delivery Systems (ENDSs), also known as electronic cigarettes, vaping products, or JUULs. However, little is known about the level of knowledge school staff have about ENDS. The purpose of this study is to examine outcomes of a nurse-led educational intervention designed to increase school staff knowledge about ENDS. A descriptive, nonrandomly selected pre-test/post-test design was used with 125 Wisconsin school staff. Results revealed further educational needs of school staff in content areas including advertising to youth and flavoring of ENDS. Following the educational intervention, post-test results showed a significant overall improvement in participant knowledge scores. Recommendations include implementing nurse-led education about ENDS to a more diverse population of school staff. Providing nurse-led ENDS education to school staff offers an upstream, proactive approach for school nurses to help address this public health epidemic.

show abstract

“…For older adults exposed to cigarette smoke, all these intakes of antioxidant micronutrients could be associated with the modulation of lung function decline. A lot of marketing efforts from tobacco industry are directed towards associating e-cigarettes with words related to healthy foods that are enhancing previous messages and promoting e-cigarettes as less harmful option versus traditional cigarettes as well as misleading people (11). In addition, a strange message that e-cigarettes deliver vitamins has been circulating (12) and social media is full of messages associating vaping with healthy eating habits such as salads (13).…”

mentioning

confidence: 99%