scholarly journals A Picture Is Worth a Thousand Views: A Triple Crossover Trial of Visual Abstracts to Examine Their Impact on Research Dissemination (Preprint)

2020 ◽  
Author(s):  
Sandra Oska ◽  
Edgar Lerma ◽  
Joel Topf
Keyword(s):  
Social Media ◽  
Crossover Study ◽  
Scientific Community ◽  
Crossover Trial ◽  
Case Control ◽  
Research Articles ◽  
Research Dissemination ◽  
Twitter Account ◽  
Article Citation

BACKGROUND A visual abstract is a graphic summary of a research article’s question, methods, and major findings. Although they have a number of uses, visual abstracts are chiefly used to promote research articles on social media. OBJECTIVE This study aimed to determine if the use of visual abstracts increases the visibility of nephrology research shared on Twitter. METHODS A prospective case-control crossover study was conducted using 40 research articles published in the <i>American Journal of Nephrology</i> (AJN). Each article was shared by the AJN Twitter account in 3 formats: (1) the article citation, (2) the citation with a key figure from the article, and (3) the citation with a visual abstract. Tweets were spaced 2 weeks apart to allow washout of the previous tweet, and the order of the tweets was randomized. Dissemination was measured via retweets, views, number of link clicks, and Altmetric scores. RESULTS Tweets that contained a visual abstract had more than twice as many views as citation-only tweets (1351, SD 1053 vs 639, SD 343) and nearly twice as many views as key figure tweets (1351, SD 1053 vs 732, SD 464). Visual abstract tweets had 5 times the engagements of citation-only tweets and more than 3.5 times the engagements of key figure tweets. Visual abstract tweets were also associated with greater increases in Altmetric scores as compared to citation-only tweets (2.20 vs 1.05). CONCLUSIONS The use of visual abstracts increased visibility of research articles on Twitter, resulting in a greater number of views, engagements, and retweets. Visual abstracts were also associated with increased Altmetric scores as compared to citation-only tweets. These findings support the broader use of visual abstracts in the scientific community. Journals should consider visual abstracts as valuable tools for research dissemination.

scholarly journals A Picture Is Worth a Thousand Views: A Triple Crossover Trial of Visual Abstracts to Examine Their Impact on Research Dissemination

10.2196/22327 ◽  
2020 ◽  
Vol 22 (12) ◽  
pp. e22327
Author(s):  
Sandra Oska ◽  
Edgar Lerma ◽  
Joel Topf
Keyword(s):  
Social Media ◽  
Crossover Study ◽  
Scientific Community ◽  
Crossover Trial ◽  
Case Control ◽  
Research Articles ◽  
Research Dissemination ◽  
Twitter Account ◽  
Article Citation

Background A visual abstract is a graphic summary of a research article’s question, methods, and major findings. Although they have a number of uses, visual abstracts are chiefly used to promote research articles on social media. Objective This study aimed to determine if the use of visual abstracts increases the visibility of nephrology research shared on Twitter. Methods A prospective case-control crossover study was conducted using 40 research articles published in the American Journal of Nephrology (AJN). Each article was shared by the AJN Twitter account in 3 formats: (1) the article citation, (2) the citation with a key figure from the article, and (3) the citation with a visual abstract. Tweets were spaced 2 weeks apart to allow washout of the previous tweet, and the order of the tweets was randomized. Dissemination was measured via retweets, views, number of link clicks, and Altmetric scores. Results Tweets that contained a visual abstract had more than twice as many views as citation-only tweets (1351, SD 1053 vs 639, SD 343) and nearly twice as many views as key figure tweets (1351, SD 1053 vs 732, SD 464). Visual abstract tweets had 5 times the engagements of citation-only tweets and more than 3.5 times the engagements of key figure tweets. Visual abstract tweets were also associated with greater increases in Altmetric scores as compared to citation-only tweets (2.20 vs 1.05). Conclusions The use of visual abstracts increased visibility of research articles on Twitter, resulting in a greater number of views, engagements, and retweets. Visual abstracts were also associated with increased Altmetric scores as compared to citation-only tweets. These findings support the broader use of visual abstracts in the scientific community. Journals should consider visual abstracts as valuable tools for research dissemination.

scholarly journals P072: The effect of infographic promotion on research dissemination and readership: a randomized control trial

CJEM ◽  
2018 ◽  
Vol 20 (S1) ◽  
pp. S82-S82
Author(s):  
S. Y. Huang ◽  
L. Martin ◽  
A. Chin ◽  
C. Yeh ◽  
H. Murray ◽  
...  
Keyword(s):  
Social Media ◽  
Full Text ◽  
Medical Literature ◽  
Controlled Trial ◽  
Research Articles ◽  
Original Research ◽  
Research Dissemination ◽  
Significant Difference ◽  
Research Findings ◽  
And Control

Introduction: With the increasing volume of medical literature published each year, it is difficult for clinicians to translate the latest research into practice. Awareness is the first step of knowledge translation and journals have begun using social media to increase the dissemination and awareness of their publications. Infographics can describe research findings visually, are shared broadly on social media, and may be a more effective way to convey information. We hypothesized that infographic abstracts would increase the social media dissemination and online readership of research articles relative to traditional abstracts. Methods: In this randomized controlled trial, 24 original research articles were chosen from the six issues of the Canadian Journal of Emergency Medicine (CJEM) published between July 2016 and May 2017 (4 articles per issue). Half were randomized to the infographic and control groups within each issue. Infographic articles were promoted using a visual infographic outlining the findings of the article. Control articles were promoted using a screen capture image of each articles abstract. Both were disseminated through the journals social media accounts (Twitter and Facebook) along with the link to the selected article. Infographics were also published on CanadiEM.org. Abstract views, full text views, and the change in Altmetric score were tracked for 30 days and compared between groups. Unpaired two-tailed t-tests were used to detect significant differences. Results: Abstract views (mean, SD) were significantly higher for infographic articles (378.9, 162.0) than control articles (175.5, 69.2, p<0.001). Mean Altmetric scores were significantly higher for infographic articles (26.4, 13.8) than control articles (3.4, 1.7, p<0.0001). There was no statistically significant difference in full-text views between infographic (49.7, 90.4) and control articles (25.3, 12.3). Conclusion: CJEM articles promoted on social media using infographics had higher abstract viewership and Altmetric scores than those promoted with traditional abstracts. Although there was no difference in full-text readership, our results suggest that infographic abstracts may have a role in increasing the dissemination of medical literature.

scholarly journals The effect of an infographic promotion on research dissemination and readership: A randomized controlled trial

CJEM ◽  
2018 ◽  
Vol 20 (6) ◽  
pp. 826-833 ◽  
Author(s):  
Simon Huang ◽  
Lynsey J. Martin ◽  
Calvin H. Yeh ◽  
Alvin Chin ◽  
Heather Murray ◽  
...  
Keyword(s):  
Social Media ◽  
Controlled Trial ◽  
Research Articles ◽  
Research Dissemination ◽  
Randomized Controlled ◽  
Study Find ◽  
Dissemination Of Research ◽  
Social Media Platforms ◽  
Research Findings ◽  
Social Media Strategy

CLINICIAN’S CAPSULEWhat is known about the topic?Infographics are graphical illustrations of complex ideas that are broadly shared on social media platforms.What did this study ask?What is the effect of a social media strategy using infographics on the readership and dissemination of research articles?What did this study find?Infographic articles were associated with increased Altmetric scores and abstract views, but not full-text views.Why does this study matter to clinicians?The promotion of articles with infographics may increase awareness and dissemination of research findings among clinicians.

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.

scholarly journals Total SciComm: A Strategy for Communicating Open Science

Publications ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 31
Author(s):  
Manh-Toan Ho ◽  
Manh-Tung Ho ◽  
Quan-Hoang Vuong
Keyword(s):  
Social Media ◽  
Science Communication ◽  
Scientific Community ◽  
Open Data ◽  
Open Science ◽  
Central Idea ◽  
Retracted Article ◽  
Scientific Ideas

This paper seeks to introduce a strategy of science communication: Total SciComm or all-out science communication. We proposed that to maximize the outreach and impact, scientists should use different media to communicate different aspects of science, from core ideas to methods. The paper uses an example of a debate surrounding a now-retracted article in the Nature journal, in which open data, preprints, social media, and blogs are being used for a meaningful scientific conversation. The case embodied the central idea of Total SciComm: the scientific community employs every medium to communicate scientific ideas and engages all scientists in the process.

scholarly journals Neurally Adjusted Ventilatory Assistance and Synchronized Intermittend Mandatory Ventilation in Children Assessed by Electrical Impedance Segmentography: A Prospective Randomized Case-Control Crossover Trial

2021 ◽  
Author(s):  
Jennifer Bettina Brandt ◽  
Alex Mahlknecht ◽  
Tobias Werther ◽  
Roman Ullrich ◽  
Michael Hermon
Keyword(s):  
Electrical Impedance ◽  
Crossover Trial ◽  
Case Control ◽  
Dynamic Monitoring ◽  
Limiting Factors ◽  
Neurally Adjusted Ventilatory Assist ◽  
Electric Impedance ◽  
Intermittent Mandatory Ventilation ◽  
Tertiary Center ◽  
Ventilatory Assist

Abstract Background: Assessing relative differences of integrated impedance as a surrogate of volume changes between neurally adjusted ventilatory assist (NAVA) and synchronized intermittent mandatory ventilation (SIMV) by using electric impedance segmentography in children.Methods: Performed as a prospective randomized case-control crossover trial in a pediatric intensive care unit of a tertiary center including eight mechanically-ventilated children, four sequences of two different ventilation modes were consecutively applied. The children were randomized in two groups; one that was started on neurally adjusted ventilatory assist and the other on synchronized intermittent mandatory ventilation. During ventilation, electric impedance segmentography measurements were recorded.Results: The relative difference of vertical impedance between both ventilatory modes was measured (median 0.52, IQR 0-0.87). These differences in left apical lung segments were present during the first (median 0.58, IQR 0-0.89, p=0.04) and second crossover (median 0.50, IQR 0-0.88, p=0.05) as well as across total impedance (0.52 IQR 0-0.87; p=0.002). During neurally adjusted ventilatory assist children showed a shift of impedance towards caudal lung segments, compared to synchronized intermittent mandatory ventilation.Conclusion: Electrical impedance segmentography enables dynamic monitoring of transthoracic impedance. Segmental measurements, however, were of low reproducibility due to various limiting factors in its application. For further evaluation, larger prospective clinical trials are necessary.

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.

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