scholarly journals A qualitative analysis of orthodontic-related posts on Twitter

2013 ◽  
Vol 84 (2) ◽  
pp. 203-207 ◽  
Author(s):  
M. Rachel Henzell ◽  
A. Margaret Knight ◽  
K. C. Morgaine ◽  
J. S. Antoun ◽  
M. Farella

ABSTRACT Objective: To investigate the content of orthodontic-related Twitter posts in order to improve our understanding of orthodontic patients' perceptions and treatment experiences. Materials and Methods: Some 131 consecutive posts were collected from Twitter over a 5-day period. Twitter's advanced-search function was used to limit the sampling frame to New Zealand. The posts were qualitatively analyzed for themes using discourse analysis. Results: Four main themes were identified: (1) excitement about getting braces off, (2) problems with braces, (3) positive comments about braces, and (4) negative comments about braces. Various language tools and symbols were often used to convey different degrees of emotion. The present study explores these themes and discusses how they relate to modern-age orthodontics. Conclusion: This is the first study to qualitatively analyze orthodontic-related posts in the social media era. Our findings suggest that orthodontic patients use social media sites such as Twitter to convey positive and negative feelings about braces.

2019 ◽  
Vol 2019 ◽  
Author(s):  
Edward Hurcombe

This paper empirically investigates how two prominent Australian legacy news outlets – ABC News and News.com.au – operate according to what I term a social media logic of “engagement”, a concept which builds upon van Dijck & Poell’s notion of a social media logic of “popularity”. By a logic of engagement, I mean the necessity to maximize social media attention and interaction metrics. Rather than just valuing “popularity”, platforms instead place value on content that maximizes a multitude of feelings, sentiments, and reactions. Without sufficient engagement, outlets dependent on platforms such as Facebook are threatened by invisibility in the newsfeed. I specifically focus on the operations of ABC News and News.com.au on Facebook from 21 March 2018 – 10 April 2018. Within this period, I collected all the posts from each page, which amounted to 44 posts in total. From these posts, I strategically selected six posts of varying levels of engagement for closer qualitative analysis, with an emphasis on language and imagery. My findings in this paper suggest that the drive for monetizable and algorithmically-valued audience metrics on Facebook can encourage divisive and provocative news content that arouses strong negative feelings and promotes conflict. Trolls are those that deceive other users of their intentions, and seek to sow discord for their own purposes. Thus, it is beneficial to think about a potentially emerging practice of news “trolling”, as it appears that news outlets are adopting faux-naïve, and deliberately incendiary, practices when pursuing engagement.


2020 ◽  
Vol 3 (1) ◽  
pp. 12-25
Author(s):  
Kusnul Fitria ◽  
Yessi Febrianti

The main objective of this research is to reveal the meaning and attitudes of victims of body shaming behavior on social media. Body shaming is the behavior of giving negative comments about a person's physical condition. Instagram is the social media most often used by body-shaming actors to carry out their actions. This research is a digital ethnographic study with primary data collection through digital observation, and in-depth interviews with five informants who were selected purposively. The results of this study, in general, encompass the description of three things which are: a) the awareness and experiences of the victim; b) the attitude of the victim; and c) the two ways interactions between the victim and the followers. The interpretation of the body shamming victims reflects body positivity and self-love form of content on their personal Instagram.


2020 ◽  
Vol 13 (2) ◽  
pp. 1-7
Author(s):  
Nuraini Arifianti ◽  
Nunuk Adiarni

The social media is currently not only used for social friendship but also for business purpose.The people use line, whatshapp, instagram and facebook. Related to business goals, the content is made possible by availability of the applications to convey marketing messages to customers. This requires creative message and content creators, which work in team with decision maker and administrator. However, it’s need  to continuously manage it. This study was aimed to find out how the management of social media in XYZ businesses using descriptive qualitative. Instagram management implemented by XYZ starts from setting target customers to the content evaluation process. However, it has not comprehensively been managed unless it responds to negative comments from followers. The results of the study prove that using the social media such as Instagram in marketing requires management by planning, organizing and decision making process for creative content and followed by an evaluation and handling follower responses.


2017 ◽  
Vol 13 (2) ◽  
pp. 92-102
Author(s):  
Nalei Taufa ◽  
Ainsleigh Laumatia ◽  
Samantha Marsh ◽  
Natalie Walker ◽  
Robyn Whittaker ◽  
...  

Introduction: Social media advertising could be effective in promoting smoking cessation. However, it's salience to Pacific youth in New Zealand who smoke is unknown.Aim: To explore the views that 18–25 year old Pacific smokers have towards online smoking cessation advertising.Methods: Twenty young Pacific smokers, aged 18–25 years, were recruited through indirect snowballing methods interviewed in focus groups by a female Pacific researcher. Questions centred on smoking cessation advice via social media and devices, preferences for advertisements, effective features and implications for internet banner and ad designs, positive versus negative framing, cultural cues and motivations. The general inductive approach was used to analyse the data for common themes.Results: Smartphones were the most common device and Facebook the social media site most often used by participants. The informants recommended that the advertisements should have the following features: central position, eye-catching, bold imagery using simple language; endorsed by Pacific Island personalities; and positively framed messages to secure and maintain interest. The collective nature of Pacific cultures should be leveraged and testimonies from previous smokers used to strengthen motivation and dispel common myths around smoking.Conclusion: There are potential opportunities for social media to be used as a platform to promote smoking cessation among Pacific young people.


2016 ◽  
Vol 12 (3) ◽  
pp. 374-398 ◽  
Author(s):  
Eva Collins ◽  
Kate Kearins ◽  
Helen Tregidga ◽  
Stephen Bowden

Synopsis Chris Morrison and two partners introduced the first Fairtrade bananas in New Zealand in a bid to improve the social and environmental impacts of banana consumption. The trio started All Good Bananas in 2010. Using social media as a key marketing tool, the startup had grown to take a 5 percent market share in a fiercely competitive industry dominated by big players. In 2012, the entrepreneurs needed to decide the best way to increase sales of ethically sourced products under the All Good brand. Should they expand their share of the banana market or diversify into drinks? Research methodology The case is primarily based on tape-recorded interviews by the authors with the founding entrepreneur and three employees of All Good from May to July 2012 and an analysis of the company’s website and social media activities. Other publicly available information sources were drawn upon, and a discussion held with a New Zealand national grocery chain CEO. Relevant courses and levels This case has been written for use in classes in undergraduate and graduate level entrepreneurship, strategic management and sustainability. The case can be used to illustrate how very small resource-constrained startups can compete in an industry dominated by large multinational corporations, and how Fairtrade might provide a worthy differentiation focus. It is open to a consideration of judo economics. While several of the questions ask students to consider the New Zealand context in which this case is set, knowledge of New Zealand and the various industries beyond what is offered in the case is not necessary. Theoretical bases At a broad level the case illustrates how a small, resource-constrained startup can compete against much, much larger players through a niche Fairtrade product focus and the use of alternative marketing strategies such as guerrilla marketing and social media. In relation to the competitive dynamics within an industry, this case can be used to illustrate the concept of judo economics (also referred to as judo strategy). Both the utility and potential limits of judo economics can be demonstrated through the case by considering current activities and potential future dynamics.


Sentiment analysis is one of the heated topic in the field of text mining. As the social media data is increased day by day the main need of the data scientists is to classify the data so that it can be further used for decision making or knowledge discovery. Now –a-days everything and everyone available online so to check the latest trends in business or in daily life one must consider the online data. The main focus of sentiment analysis is to focus on positive or negative comments so that a well define picture is created that what is trending or not but the sarcasm manipulates the data as in sarcastic comment negative comment consider as positive because of the presence of positive words in the comment or data so it is necessary to detect the sarcasm in online data . The data on social media is available in various languages so sentiment analysis in regional languages is also a main step . In the proposed work we focus on two languages i.e Punjabi and English. Here we use deep learning based neural networks for the sarcasm detection in English as well as Punjabi language. In the proposed work we consider three datasets i.e. balanced English dataset, Balanced Punjabi Dataset and unbalanced Punjabi dataset. We used six different models to check the accuracy of the classified data the models we used are LSTM with word embedding layer, BiLSTM with , LSTM+LSTM, BiLSTM+BiLSTM, LSTM+BiLSTM, CNN respectively. LSTM provide better accuracy for balanced Punjabi and English dataset i.e. 95.63% and 94.17% respectively. The accuracy for unbalanced Punjabi dataset is provided by BiLSTM i.e.96.31%.


2018 ◽  
Vol 24 (2) ◽  
pp. 261-268
Author(s):  
Răduţ Bîlbîie

Abstract The study presents the emergence and evolution of the Public Relations accounts and products associated with social media platforms, at the official level in the Romanian army. We present the main regulations, the planning and execution structures, the significant moments in the development of the platforms, the successes and errors of the implementation team, the main results obtained by the quantitative and qualitative analysis of the products between the year 2012, the year of implementation. and the present time


2021 ◽  
Vol 115 ◽  
pp. 01003
Author(s):  
Nikoleta Hutmanová ◽  
Peter Dorčák

The paper focuses on how social media usage by children determines their interactions with consumer brands. First it describes how and when young children develop brand awareness and which are the most important predictors of this development. Those findings are then put in connection with the impact of social media. We elaborate on a deeper level how children approach online communications with brands in the social media context. Our assumptions are supported by a research conducted on a group of New Zealand children, both boys and girls in the age group of 11-14 years. This qualitative approach was implemented using in-depth interviews and identifies three key modes of brand interaction behaviour when young consumers use social media. According to these findings we assume that there is a connection between the use of social media and children´s relationship with consumer brands.


2018 ◽  
Vol 14 (1) ◽  
pp. 19-29 ◽  
Author(s):  
Shouhong Wang ◽  
Hai Wang

Social media continues to proliferate. This article presents a qualitative analysis of twelve cases of social-media-based knowledge sharing. The analysis reveals six categories of knowledge sharing in the social context. The analysis indicates that personalization of the organization entities and socialization of the participation on social media for knowledge sharing are two key success factors. The findings suggest that the social dimension, which has been absent from the traditional knowledge management models, broadens the scope of sustainable knowledge sharing practices in the digital society.


2014 ◽  
Vol 37 (2) ◽  
pp. 251-269 ◽  
Author(s):  
Karen Ross ◽  
Susan Fountaine ◽  
Margie Comrie
Keyword(s):  

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