Social media games: insights from Twitter analytics

2020 ◽  
Vol 16 (1) ◽  
pp. 34 ◽  
Author(s):  
Rajesh R. Pai ◽  
Sreejith Alathur
Keyword(s):  
Social Media ◽  
Twitter Analytics

Application of social media in the education of the general surgeon. @Cirbosque, breaking the paradigm

2020 ◽  
Vol 31 (1) ◽  
pp. 15-20 ◽  
Author(s):  
LF Cabrera Vargas ◽  
G Herrera ◽  
A Mendoza Zuchini ◽  
M Pedraza ◽  
S Sánchez ◽  
...  
Keyword(s):  
Social Media ◽  
General Surgeon ◽  
Redes Sociales ◽  
Twitter Analytics ◽  
Educación Virtual

Resumen En el campo de la medicina las redes sociales han ganado poco a poco terreno y hoy en día juegan un rol importante en el aprendizaje y la enseñanza de conocimientos que se pueden trasmitir de inmediato y de forma masiva. El objetivo de este artículo es mostrar la experiencia colombiana en el uso de las redes sociales para crear aprendizaje quirúrgico significativo, con liderazgo y tutoría global. Se llevó a cabo un estudio descriptivo retrospectivo desde la creación de nuestras redes sociales en Twitter, 22 de febrero al 22 de agosto de 2019, evaluando las siguientes variables: número de tweets académicos, número de seguidores, impresiones, visitas y menciones. Desde la creación de nuestra red social Twitter @Cirbosque para realizar educación virtual quirúrgica a través de redes sociales con el fin de generar un aprendizaje significativo en nuestros seguidores, en solo seis meses del proyecto, seguimos a 62 cuentas, hemos realizado hasta la fecha 5.025 tweets académicos, con un crecimiento del 77,1% mensual, con 2.203 seguidores, con un crecimiento del 426 seguidores mensual, 1.090.000 impresiones, con un crecimiento del 56% mensual, 13.500 mil visitas, con un crecimiento del 28,9% mensual y 2.028 menciones, con un crecimiento del 88,3% mensual. Aunque la evidencia aún es insuficiente para garantizar que la educación que se hace a través de redes sociales y de @Cirbosque sea eficiente, el impacto que ha tenido esta iniciativa en Twitter es apreciada por muchos cirujanos a nivel mundial incluyendo a grandes maestros referentes en cada uno de los temas que se han tratado, de la misma forma, la cantidad de participantes en las diversas discusiones planteadas día a día y con un incremento en todos los indicadores de impacto según Twitter Analytics, se puede deducir que el mensaje educativo está teniendo un efecto positivo y está llegando a miles de personas a nivel mundial.

scholarly journals Beyond the hashtag: describing and understanding the full impact of the #BJSConnect tweet chat May 2019

BJS Open ◽  
2020 ◽  
Vol 5 (2) ◽  
Author(s):  
G Mackenzie ◽  
R Grossman ◽  
J Mayol
Keyword(s):  
Social Media ◽  
Clinical Practice ◽  
Third Party ◽  
Internet Browser ◽  
Twitter Analytics ◽  
Social Media Tool

Abstract Background Twitter engagement between surgeons provides opportunities for international discussion of research and clinical practice. Understanding how surgical tweet chats work is important at a time when increasing reliance is being placed on virtual engagement because of the COVID-19 pandemic. Methods Individual tweets from the May 2019 #BJSConnect tweet chat were extracted using NodeXL, complemented by Twitter searches in an internet browser to identify responses that had not used the hashtag. Aggregate estimates of tweet views were obtained from a third-party social media tool (Twitonomy) and compared with official Twitter Analytics measurements. Results In total 37 Twitter accounts posted 248 tweets or replies relating to the tweet chat. A further 110 accounts disseminated the tweets via retweeting. Only 58.5 per cent of these tweets and 35 per cent of the tweeters were identified through a search for the #BJSConnect hashtag. The rest were identified by searching for replies (61), quoting tweets (20), and posts by @BJSurgery that used the hashtag but did not appear in the Twitter search (22). Studying all tweets revealed complex branching discussions that went beyond the discussed paper’s findings. Third-party estimates of potential reach of the tweet chat were greatly exaggerated. Conclusion Understanding the extent of the discussion generated by the #BJSConnect tweet chat required looking beyond the hashtag to identify replies and other responses, which was time-consuming. Estimates of reach using a third-party tool were unreliable.

Analyzing the startup ecosystem of India: a Twitter analytics perspective

2019 ◽  
Vol 17 (2) ◽  
pp. 262-281 ◽  
Author(s):  
Shiwangi Singh ◽  
Akshay Chauhan ◽  
Sanjay Dhir
Keyword(s):  
Social Media ◽  
Topic Modeling ◽  
Latent Dirichlet Allocation ◽  
Descriptive Analysis ◽  
Relevant Information ◽  
Media Analysis ◽  
Social Media Analytics ◽  
Content Type ◽  
Twitter Analytics ◽  
Bayes Algorithm

Purpose The purpose of this paper is to use Twitter analytics for analyzing the startup ecosystem of India. Design/methodology/approach The paper uses descriptive analysis and content analytics techniques of social media analytics to examine 53,115 tweets from 15 Indian startups across different industries. The study also employs techniques such as Naïve Bayes Algorithm for sentiment analysis and Latent Dirichlet allocation algorithm for topic modeling of Twitter feeds to generate insights for the startup ecosystem in India. Findings The Indian startup ecosystem is inclined toward digital technologies, concerned with people, planet and profit, with resource availability and information as the key to success. The study categorizes the emotions of tweets as positive, neutral and negative. It was found that the Indian startup ecosystem has more positive sentiments than negative sentiments. Topic modeling enables the categorization of the identified keywords into clusters. Also, the study concludes on the note that the future of the Indian startup ecosystem is Digital India. Research limitations/implications The analysis provides a methodology that future researchers can use to extract relevant information from Twitter to investigate any issue. Originality/value Any attempt to analyze the startup ecosystem of India through social media analysis is limited. This research aims to bridge such a gap and tries to analyze the startup ecosystem of India from the lens of social media platforms like Twitter.

scholarly journals Do policymakers use social media for policy design? A Twitter analytics approach

2021 ◽  
Vol 25 ◽  
Author(s):  
Ashish Kumar Rathore ◽  
Dayashankar Maurya ◽  
Amit Kumar Srivastava
Keyword(s):  
Social Media ◽  
Policy Design ◽  
Public Policies ◽  
Limited Attention ◽  
Social Media Analytics ◽  
The Public ◽  
Information Awareness ◽  
Twitter Analytics ◽  
Social Media Platforms ◽  
Use Of Social Media

Social media has been used widely for communicating information, awareness, and promote public policies by government agencies. However, limited attention has been paid to the use of social media in improving the design of public policies. This paper explores to what extent citizens' responses/opinions expressed on social media platforms contribute to policy design.  The paper analyzes discussion about the 'Ayushman Bharat' scheme on Twitter through social media analytics techniques (e.g., content analytics) and then traces the change in policy design over two years.  To validate findings from Twitter data, and assess the evolution in policy design, we conducted in-depth interviews with experts and extensive document analysis. The paper reveals that consistently similar issues were raised by the experts in the past as well as by the citizens in the current scheme. However, over the period, the policy design has not changed significantly. Therefore, despite a strong social media presence, its optimum use to improve policy effectiveness is yet to be achieved. The paper contributes by exploring the role social media can play in the public policy process and policy design in developing countries' contexts and identifies gaps in existing social media strategies of public agencies.

scholarly journals Understanding the Emotional Intelligence Discourse on Social Media: Insights from the Analysis of Twitter

2021 ◽  
Vol 9 (4) ◽  
pp. 56
Author(s):  
Shardul Shankar ◽  
Vijayshri Tewari
Keyword(s):  
Social Media ◽  
Emotional Intelligence ◽  
Language Processing ◽  
Information Diffusion ◽  
Information Dissemination ◽  
Research And Practice ◽  
Network Analytics ◽  
Twitter Analytics ◽  
Social Media Platforms ◽  
Use Of Social Media

Social networks have created an information diffusion corpus that provides users with an environment where they can express their views, form a community, and discuss topics of similar or dissimilar interests. Even though there has been an increasingly rising demand for conducting an emotional analysis of the users on social media platforms, the field of emotional intelligence (EI) has been rather slow in exploiting the enormous potential that social media can play in the research and practice of the framework. This study, thus, tried to examine the role that the microblogging platform Twitter plays in enhancing the understanding of the EI community by building on the Twitter Analytics framework of Natural Language Processing to further develop the insights of EI research and practice. An analysis was conducted on 53,361 tweets extracted using the hashtag emotional intelligence through descriptive analytics (DA), content analytics (CA), and network analytics (NA). The findings indicated that emotional intelligence tweets are used mostly by speakers, psychologists (or other medical professionals), and business organizations, among others. They use it for information dissemination, communication with stakeholders, and hiring. These tweets carry strong positive sentiments and sparse connectedness. The findings present insights into the use of social media for understanding emotional intelligence.

scholarly journals Use of Social Media as a Platform for Education and Support for People With Diabetes During a Global Pandemic

2021 ◽  
pp. 193229682110548
Author(s):  
Rebecca L. Thomas ◽  
Victoria Alabraba ◽  
Sam Barnard ◽  
Hannah Beba ◽  
Julie Brake ◽  
...  
Keyword(s):  
Social Media ◽  
Fundamental Aspect ◽  
Audience Engagement ◽  
Global Pandemic ◽  
Twitter Analytics ◽  
Twitter Account ◽  
Media Platform ◽  
Use Of Social Media ◽  
Virtual Conference ◽  
Video Presentations

Background: Patient education is a fundamental aspect of self-management of diabetes. The aim of this study was to understand whether a social media platform is a viable method to deliver education to people with diabetes and understand if people would engage and interact with it. Methods: Education sessions were provided via 3 platforms in a variety of formats. “Tweetorials” and quizzes were delivered on the diabetes101 Twitter account, a virtual conference via Zoom and video presentations uploaded to YouTube. Audience engagement during and after the sessions were analyzed using social media metrics including impressions and engagement rate using Twitter analytics, Tweepsmap, and YouTube Studio. Results: A total of 22 “tweetorial” sessions and 5 quizzes with a total of 151 polls (both in tweetorial and quiz sessions) receiving a total of 21,269 votes took place. Overall, the 1-h tweetorial sessions gained 1,821,088 impressions with an engagement rate of 6.3%. The sessions received a total of 2,341 retweets, 2,467 replies and 10,060 likes. The quiz days included 113 polls receiving 16,069 votes. The conference covered 8 topics and was attended live by over 100 people on the day. The video presentations on YouTube have received a total of 2,916 views with a watch time of 281 h and 8,847 impressions. Conclusion: Despite the limitations of social media, it can be harnessed to provide relevant reliable information and education about diabetes allowing people the time and space to learn at their own pace.

Intercollegiate Social Media Education Ecosystem

2018 ◽  
Vol 41 (3) ◽  
pp. 254-269 ◽  
Author(s):  
Alexandra K. Abney ◽  
Laurel A. Cook ◽  
Alexa K. Fox ◽  
Jennifer Stevens
Keyword(s):  
Social Media ◽  
Communication Skills ◽  
Media Education ◽  
Professional Communication ◽  
Future Directions ◽  
Learning Satisfaction ◽  
Twitter Analytics ◽  
Innovative Learning ◽  
Linguistic Inquiry ◽  
Marketing Educators

The popularity of social media among students and practitioners has encouraged marketing educators to find ways to incorporate social media into their classrooms. We offer results from an intercollegiate collaboration that provides an innovative learning environment through a social media education ecosystem. Participating students discuss current marketing topics with peers, marketing practitioners, and faculty to reinforce course concepts, improve learning perceptions, and increase professional communication skills and networking opportunities. An initial exploratory study provides a snapshot of Twitter analytics, illustrating the reach of students’ marketing-related discussions. Next, survey data collected from students show increased learning satisfaction and favorable behavioral intentions. Finally, tweets from the 12-week project were analyzed using Linguistic Inquiry and Word Count. Results suggest that participants improved their professional communication skills while using language that provokes greater cognitive processes. Implications for marketing educators and future directions for the project are also provided.

scholarly journals The influence of social media on recruitment to surgical trials.

2020 ◽  
Author(s):  
Carly Nichola Bisset ◽  
Ben Carter ◽  
Jennifer Law ◽  
Jonathan Hewitt ◽  
Kat Parmar ◽  
...  
Keyword(s):  
Social Media ◽  
Service Research ◽  
Emergency Laparotomy ◽  
Power Calculation ◽  
User Engagement ◽  
Surgical Trials ◽  
Twitter Analytics ◽  
Registration Number ◽  
National Health Service Research ◽  
Observational Cohort

Abstract Background Social media is changing the way surgeons communicate worldwide with a key role in disseminating trial results. However, it is unclear if social media could be used in recruitment to surgical trials. This study aimed to investigate the influence of Twitter in promoting surgical recruitment in The Emergency Laparotomy and Frailty (ELF) Study. Methods The ELF Study was a UK prospective, observational cohort that aimed to assess the influence of frailty on 90-day mortality in older adults undergoing emergency surgery. A power calculation required 500 patients to be recruited in 12 weeks to detect a 10% change in mortality associated with frailty. A Twitter handle was designed (@ELFStudy) with eye-catching logos to encourage enrolment and inform the public and clinicians involved in the study. Twitter Analytics and an online analytics tool (Twitonomy; Digonomy Pty Ltd) were used to analyse trends in user engagement. Results After 90 days of data collection, a total of 49 sites from Scotland, England and Wales recruited 952 consecutive patients undergoing emergency laparotomy. Target recruitment (n=500) was achieved by week 11. A total of 591 tweets were published by @ELFStudy since its conception, making 218,136 impressions at time of writing. The number of impressions prior to March 20 th 2017 (study commencement date) was 23,335 (343.2 per tweet), compared to the recruitment period with 114,314 impressions (256.3 per tweet), ending on June 20 th 2017. Each additional tweet was associated with an increase in recruitment of 1.66 (95%CI 1.36 to 1.97; p<0.001). Conclusion The ELF Study over-recruited by nearly 100%, reaching over 200,000 people across the U.K. Branding enhanced tweet aesthetics and helped increase tweet engagement to stimulate discussion and healthy competition amongst clinicians to aid trial recruitment. Other studies may draw from the social media experiences of the ELF Study to optimise collaboration amongst researchers. Trial Registration This study is registered online at www.clinicaltrials.gov (registration number NCT02952430) and has been approved by the National Health Service Research Ethics Committee.

The Exercise Oncology Twitter Conference: Disseminating Research in the Age of Social Media

2020 ◽  
Vol 9 (1) ◽  
pp. 40-42
Author(s):  
Keith M. Thraen-Borowski ◽  
Sarah Weller ◽  
Ciaran Fairman
Keyword(s):  
Social Media ◽  
Undergraduate Students ◽  
Exercise Physiology ◽  
Scientific Impact ◽  
Potential Effectiveness ◽  
Registration Data ◽  
Twitter Analytics ◽  
Terminal Degree ◽  
Exercise Oncology ◽  
The Web

ABSTRACT Background: Scientists are using social media to amplify their scientific impact. As such, researchers are looking for novel ways to engage this medium to promote scientific findings and communicate research to a broader audience. Here, we examine the use of a Twitter conference as a means to effectively communicate advances in the field of exercise oncology. Methods: The Exercise Oncology Twitter Conference (ExOncTC) occurred in October 2018. Each presentation consisted of 6 tweets over 15 min. Attendees were able to interact during a presentation via the conference hashtag (#ExOncTC). Registration data were used to characterize presenters and participants while Twitter Analytics/Union Metrics were used to aggregate data to determine engagement and reach. Results: The ExOncTC featured 68 presenters from 13 countries and 48 institutions. Presenters varied in academic background (ranging from undergraduate students [1.5%] to terminal degree holders [46%]) and profession (including researchers [42.5%] and physicians [6%]). Participants, including researchers, physicians, students, patients, and organizations could register via the Web site (n = 231), follow the @ExOncTC Twitter handle (n = 805), and/or search the #ExOncTC hashtag. During the conference, #ExOncTC was tweeted 1,501 times by 483 unique users for 4,943 total engagements (number of times a user interacts with a tweet). Collectively, these tweets reached 453,900 distinct users with potential impressions equaling 1.8 million (number of views possible). Conclusion: Reach of the ExOncTC demonstrates the potential effectiveness of using a Twitter conference as a platform to communicate the field of exercise oncology, suggesting Twitter conferencing should be explored as a tool for scientific dissemination to the broader field of clinical exercise physiology.

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