scholarly journals SP2.2.3How to make the perfect tweet: exploring factors which affect retweetability of surgical research

2021 ◽  
Vol 108 (Supplement_7) ◽  
Author(s):  
Ashuvini Mahendran ◽  
Giordano Perin ◽  
Megan Baker ◽  
Alice Hanton ◽  
Emma Lumley ◽  
...  
Keyword(s):  
Social Media ◽  
Multivariate Analysis ◽  
Median Number ◽  
Surgical Research ◽  
Related Factors ◽  
Twitter Account

Abstract Aims Twitter is a powerful platform for sharing information. Retweets allow users to reach a wider audience quickly. Our aim was to determine what tweet and twitter-account related factors affect the “retweetability” of surgical publications. Methods All papers published (in print) in Annals of Surgery, BJS and JAMASurgery in 2019 were selected. We identified each paper’s first appearance on Twitter and analysed characteristics of the posting twitter account and the tweet itself. The association between such characteristics and the number of retweets was investigated. Results 413 papers were selected. Median number of retweets was 3 (range, 0-121). The first tweet created about a paper was usually from a reader (42%) with only a minority created by the journal (17%) or the authors (20%). Use of visual abstracts (22/413, p<0.001), pictures (145/413, p<0.001), hashtags (149/413, p<0.001), mentions (183/413, p<0.001), number of followers (p < 0.001), age of twitter account (p = 0.003) and authors as creators of the first tweet (p < 0.001) were associated with higher retweets. When the journal created the first tweet, retweets were also increased (P < 0.001). Posting the title of the paper alone attracted fewer retweets (p < 0.001). Multivariate analysis confirmed visual abstracts (p < 0.001), hashtags (p=p.008), pictures (p < 0.001) and authors as creators of the first tweet (p < 0.001) were predictive of increased retweetability. Conclusions Authors and journals should create the first presence on social media to improve engagement with their papers. Such tweets should use visual abstracts or pictures, relevant hashtags and avoid solely posting the paper title to make their research more widely shared.

Is JUUL marketing to kids on social media? Analysis of JUUL Twitter Followers� Age (Preprint)

2018 ◽  
Author(s):  
Annice Kim ◽  
Robert Chew ◽  
Michael Wenger ◽  
Margaret Cress ◽  
Thomas Bukowski ◽  
...  
Keyword(s):  
Social Media ◽  
Application Programming Interface ◽  
Media Analysis ◽  
Prediction Algorithm ◽  
Social Media Networks ◽  
Verification Methods ◽  
Twitter Account ◽  
Application Programming ◽  
Age Verification ◽  
Age Category

BACKGROUND JUUL is an electronic nicotine delivery system (ENDS) resembling a USB device that has become rapidly popular among youth. Recent studies suggest that social media may be contributing to its popularity. JUUL company claims their products are targeted for adult current smokers but recent surveillance suggests youth may be exposed to JUUL products online. To date, there has been little attention on restricting youth exposure to age restricted products on social media. OBJECTIVE The objective of this study was to utilize a computational age prediction algorithm to determine the extent to which underage youth are being exposed to JUUL’s marketing practices on Twitter. METHODS We examined all of @JUULvapor’s Twitter followers in April 2018. For followers with a public account, we obtained their metadata and last 200 tweets using the Twitter application programming interface. We ran a series of classification models to predict whether the account following @JUULvapor was an underage youth or an adult. RESULTS Out of 9,077 individuals following @JUULvapor Twitter account, a three-age category model predicted that 44.9% are 13 to 17 years old (N=4,078), 43.6% are 18 to 24 years old (N=3,957), and 11.5% are 25 years old or older (N=1,042); and a two-age category model predicted that 80.6% (N=7,313) are under 21 years old. CONCLUSIONS Despite a disclaimer that followers must be of legal age to purchase tobacco products, the majority of JUUL followers on Twitter are under age. This suggests that ENDS brands and social media networks need to implement more stringent age-verification methods to protect youth from age-restricted content.

A multivariate analysis of otological, surgical and patient-related factors in determining success in myringoplasty

2005 ◽  
Vol 30 (2) ◽  
pp. 115-120 ◽  
Author(s):  
K. Onal ◽  
M.Z. Uguz ◽  
K.C. Kazikdas ◽  
S.T. Gursoy ◽  
H. Gokce
Keyword(s):  
Multivariate Analysis ◽  
Related Factors

scholarly journals # Pillar of Defense: Using Social Media to Manage Impressions of Conflict: A Case Study of the November 2012 Israel-Hamas conflict

2021 ◽  
Author(s):  
Jelena Djurkic
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Impression Management ◽  
Armed Conflict ◽  
Character Structure ◽  
Military Involvement ◽  
Reputation Risk ◽  
Twitter Account ◽  
Israel Defense Forces

Threats to reputation can destroy a brand. Communicating effectively during a conflict can help to manage negative impressions that expose brands to reputation risk. This is important now more than ever as organizations—and nations—turn to Twitter to address various publics. The rigid 140-character structure of Twitter thus necessitates the creation of sound bites that act as productive texts to address multiple rhetorical objectives simultaneously. An examination of the Israel Defense Forces’ (IDF) Twitter account through sentiment and content analysis shows evidence that the Force took a significantly defensive approach to impression management of Operation Pillar of Defense in November 2012. There is evidence that Israel sought to re-frame public impression of its military involvement from aggressor to defender in the armed conflict. Codes discovered in the analysis suggest that the IDF tried to justify force, avoid responsibility and establish legitimacy of its operations.

scholarly journals Social media supports tourism development in the COVID-19 normal era in Bandung

2021 ◽  
Vol 5 (3) ◽  
pp. 600-616
Author(s):  
Herpita Wahyuni ◽  
Eko Priyo Purnomo ◽  
Aqil Teguh Fathani
Keyword(s):  
Social Media ◽  
Tourism Development ◽  
Tourism Planning ◽  
New Era ◽  
Tourism Marketing ◽  
City Culture ◽  
Twitter Account ◽  
Use Of Social Media ◽  
Health Regulations

This research focuses on social media. We were using Social Media in Supporting Tourism Development During Covid-19: Case Study a New Era Policy in Bandung. This study uses descriptive qualitative research methods with data sources through the Twitter account of the Bandung City Culture and Tourism Office @DisbudparBdg assisted by the NVivo 12 Plus software. We are utilising Social Media to Support Tourism Development During Covid-19: A Case Study of New Era Policy in Bandung by measuring the use of social media in tourism planning, creation, integration, and marketing strategy. This research shows tourism planning in a new standard era by directing outdoor tourism and implementing health protocols. The Tourism Promotion Board integrates cooperation between the Bandung City Culture and Tourism Office and PT Kereta Api Pariwisata. Tourism marketing by providing tourist information can give tourists confidence that Bandung is an attractive and robust destination city in improving health regulations and strictly following health protocol rules during recreation.

scholarly journals Exploring public engagement with missing person appeals on Twitter

2020 ◽  
Author(s):  
Reka Solymosi ◽  
Oana Petcu ◽  
Jack Wilkinson
Keyword(s):  
Social Media ◽  
Public Engagement ◽  
Evidence Base ◽  
Evidence Based ◽  
The Public ◽  
Missing Persons ◽  
Early Return ◽  
Police Agencies ◽  
Key Factor ◽  
Twitter Account

Police agencies globally are seeing an increase in reports of people going missing. These people are often vulnerable, and their safe and early return is a key factor in preventing them from coming to serious harm. One approach to quickly find missing people is to disseminate appeals for information using social media. Yet despite the popularity of twitter-based missing person appeals, presently little is known about how to best construct these messages to ensure they are shared far and wide. This paper aims to build an evidence-base for understanding how police accounts tweet appeals for information about missing persons, and how the public engage with these tweets by sharing them. We analyse 1,008 Tweets made by Greater Manchester Police between the period of 2011 and 2018 in order to investigate what features of the tweet, the twitter account, and the missing person are associated with levels of retweeting. We find that tweets with different choice of image, wording, sentiment, and hashtags vary in how much they are retweeted. Tweets that use custody images have lower retweets than Tweets with regular photos, while tweets asking the question “have you seen...?” and asking explicitly to be retweeted have more engagement in the form of retweets. These results highlight the need for conscientious, evidence-based crafting of missing appeals, and pave the way for further research into the causal mechanisms behind what affects engagement, to develop guidance for police forces worldwide.

scholarly journals PENERAPAN TEXT MINING UNTUK MELAKUKAN CLUSTERING DATA TWEET AKUN BLIBLI PADA MEDIA SOSIAL TWITTER MENGGUNAKAN K-MEANS CLUSTERING

2022 ◽  
Vol 10 (4) ◽  
pp. 583-593
Author(s):  
Syiva Multi Fani ◽  
Rukun Santoso ◽  
Suparti Suparti
Keyword(s):  
Social Media ◽  
Text Mining ◽  
Virtual Networks ◽  
Number Of Clusters ◽  
Silhouette Coefficient ◽  
Twitter Account ◽  
Computer Based ◽  
Twitter Users ◽  
Clustering Data ◽  
Coefficient Method

Social media is computer-based technology that facilitates the sharing of ideas, thoughts, and information through the building of virtual networks and communities. Twitter is one of the most popular social media in Indonesia which has 78 million users. Businesses rely heavily on Twitter for advertising. Businesses can use these types of tweet content as a means of advertising to Twitter users by Knowing the types of tweet content that are mostly retweeted by their followers . In this study, the application of Text Mining to perform clustering using the K-means clustering method with the best number of clusters obtained from the Silhouette Coefficient method on the @bliblidotcom Twitter tweet data to determine the types of tweet content that are mostly retweeted by @bliblidotcom followers. Tweets with the most retweets and favorites are discount offers and flash sales, so Blibli Indonesia could use this kind of tweet to conduct advertising on social media Twitter because the prize quiz tweets are liked by the @bliblidotcom Twitter account followers.

scholarly journals # Pillar of Defense: Using Social Media to Manage Impressions of Conflict: A Case Study of the November 2012 Israel-Hamas conflict

2021 ◽  
Author(s):  
Jelena Djurkic
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Impression Management ◽  
Armed Conflict ◽  
Character Structure ◽  
Military Involvement ◽  
Reputation Risk ◽  
Twitter Account ◽  
Israel Defense Forces

Threats to reputation can destroy a brand. Communicating effectively during a conflict can help to manage negative impressions that expose brands to reputation risk. This is important now more than ever as organizations—and nations—turn to Twitter to address various publics. The rigid 140-character structure of Twitter thus necessitates the creation of sound bites that act as productive texts to address multiple rhetorical objectives simultaneously. An examination of the Israel Defense Forces’ (IDF) Twitter account through sentiment and content analysis shows evidence that the Force took a significantly defensive approach to impression management of Operation Pillar of Defense in November 2012. There is evidence that Israel sought to re-frame public impression of its military involvement from aggressor to defender in the armed conflict. Codes discovered in the analysis suggest that the IDF tried to justify force, avoid responsibility and establish legitimacy of its operations.

scholarly journals The Influence of the Firm’s Career-Website on Job-Seekers’ Intentions to the Firm

2015 ◽  
Vol 5 (3) ◽  
pp. 111
Author(s):  
Robert W. Stone ◽  
Lori Baker-Eveleth ◽  
Daniel Eveleth
Keyword(s):  
Social Media ◽  
Positive Influence ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Primary Method ◽  
Job Seekers ◽  
Related Factors ◽  
Factors Affecting ◽  
Subsequent Behavior ◽  
Significant Positive Influence

Currently organizations rely on its websites to engage and inform job-seekers, and as the primary method for job-seekers to submit applications for screening (Thompson, Braddy & Wuensch, 2008). Therefore a website must be able to influence job-seekers to react positively to perform behaviors such as submitting an application, returning to the site, recommending the company or site to others, and to engage the organization by transitioning to the organization’s social-media sites. Whether or not a job-seeker performs these behaviors is largely a function of the experience with the website. Understanding the website-related factors affecting a job-seeker’s intentions and subsequent behavior is, therefore, critical to the firm. The sample consisted of 199 usable responses and the results show website aesthetics, content and ease of use influence respondents’ intentions, indirectly, through perceived usefulness of the site. Social norms toward the firm have a significant, positive influence on respondents’ intentions.

scholarly journals Exploring How Influencer and Relationship Marketing Serve Corporate Sustainability

2020 ◽  
Vol 12 (11) ◽  
pp. 4392 ◽  
Author(s):  
Carmen Berne-Manero ◽  
Mercedes Marzo-Navarro
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Multivariate Analysis ◽  
Relationship Marketing ◽  
Essential Role ◽  
Corporate Sustainability ◽  
Target Audience ◽  
Customer Engagement ◽  
Customer Acquisition

Influencer marketing furthers the goals of relationship marketing. Companies use influencers to advertise their products through social networks such as Instagram. This digital advertising is aimed at shifting the company’s goals from customer acquisition to retention and commitment. While several articles provide interesting advances analyzing social media and sustainability goals, research about influencer types and their impact on engagement preserving corporate sustainability is limited. Thus, the objectives of this study are: (1) Select general influencer traits as positive characteristics in promoting a product; (2) analyze them for micro and macro influencer scenarios; (3) explore potential differences in their adequacy determining customer engagement and preserving corporate sustainability. Credibility, pleasantness, and emotions are the criteria analyzed through multivariate analysis applied over two independent samples of followers. Pleasantness and appearance in the macro influencer scenario and perceived integrity in that of the micro influencer appear to conflict with the desired transparency of the message, while transmission of emotions plays an essential role in both scenarios. This is a very important finding. Companies should assess candidate influencers’ emotional projection skills, in addition to evaluating the brand sponsorship costs and defining the target audience for the advertisement, always under the premise of preserving corporate sustainability.

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