#RadialFirst and #RadialForNeuro: A descriptive analysis of Twitter conversations regarding transradial access

2021 ◽  
pp. 197140092110123
Author(s):  
Faith C Robertson ◽  
Joseph R Linzey ◽  
Naif M Alotaibi ◽  
Robert W Regenhardt ◽  
Pablo Harker ◽  
...  

Background Transradial access for neurointerventional procedures was adopted and modified from cardiovascular intervention and is increasingly established as a safe and effective alternative to transfemoral catheterization. As social media influences public opinion on medical treatment, this study analyzes Twitter conversations to elucidate social media’s depiction of transradial access as a neurointerventional tool. Materials and methods Twitter hashtags #RadialFirst and #RadialForNeuro were evaluated using a mixed-method analysis of quantitative social media metrics and qualitative thematic analysis. Results Between January 2015 and April 2020, 104,146 tweets from 141 countries employed the hashtag #RadialFirst (2015 (1); 2016 (0); 2017 (22,804); 2018 (33,074); 2019 (38,352); 2020 (9,915 January-April)). These generated 226,909,374 impressions and were retweeted 80,120 times by 13,707 users. Media was present in 62.5% of tweets (e.g. wrist image, angiographic runs) but only 14.5% had a reference article. Physicians authored 70.8% of tweets; interventional cardiologists accounted for 83% of top 100 influencers. #RadialForNeuro is more nascent (6 posts in 2019; 323 posts January–April 2020), with 392,662 impressions, and 254 retweets by 177 users; physicians authored 35.6%. Compared to #RadialFirst, #RadialforNeuro tweets were more likely to include media (76%), less likely to include citations (9.7%), and more likely to discuss complications and troubleshooting techniques. Conclusion Twitter activity regarding transradial access permits information dissemination and discussion on approach benefits and challenges. However, many posts arise from non-physician sources and lack links to peer-reviewed publication. The public should be mindful that tweets may reflect opinions, rather than experience or scientific evidence.

2019 ◽  
Vol 33 (31) ◽  
pp. 1950375 ◽  
Author(s):  
Guanghui Wang ◽  
Yufei Wang ◽  
Kaidi Liu ◽  
Jimei Li

The factors influencing the dissemination of public opinion on social media, the main carrier of public opinion, are diverse, complex and changeable. Existing studies of influential factors of public opinion dissemination focus on the information itself and information sources in the dissemination process, failing to consider the comprehensive influence of multidimensional factors, such as information content, sources and channels. This study takes the identification of multidimensional influential factors of social media information dissemination as the research object and comprehensively sorts out the influencing factors of public opinion. To improve the scientific basis and accuracy of the research, multidimensional factors, including information characteristics, dissemination network structure and user-level attributes, are selected to analyze the effect of influential factors in different dimensions on the dissemination of social media public opinion information using econometric models. Three main conclusions of this paper are as follows: (1) The traditional information characteristics (information content) and information source attributes (user-level factor) are not the only key factors affecting information dissemination, while the information channel (network structure) is worth more consideration. (2) Netizens tend to pay more attention to the psychological and emotional attributes of information when forwarding public opinions. The communication mode in which offline social elites enlighten the public no longer exists; whether a user is a network celebrity or lives in the central area no longer significantly affects public opinion dissemination. (3) The higher the total amount of information users release, the more the information would interfere with the public opinion. This is mainly because users with a higher level of activity may release more invalid information about advertising that has nothing to do with public opinion events.


2018 ◽  
Vol 14 (2) ◽  
pp. 226
Author(s):  
Rosini Rosini ◽  
Siti Nurningsih

Introduction. This study aims to determine the utilization of social media based on the framework of  health information seeking behavior and information dissemination. Data collection method. The study used survey with  social media users as population by using  nonprobability sampling. Analysis data. The survey data was processed by using  SPSS program for further descriptive analysis.  Results and discussions. Our results showed that  social media users were  dominated by female (age range 45-50 years old)  with “married” as their status. Their highest level of education was D4 (Diploma) and S1 (undergraduate). They used WhatsApp (85.8%), YouTube (84.9%), Wikipedia (84%), Facebook (80.5%), Blogger (73.4%), Instagram (64.6%), Google+ (61%), and Wordpress (58.4%). The reasons for seeking health information through  media were several facilities such to share, to give comment, to create conversation, to tag topics, and to upload photos. Other reasons were “all of my friends use it”, “the display is convenient to use”, and “have notifications”. Conclusions. Our results concludes that patterns of social media use was active seeking information related to health with less sharing information to others.


2017 ◽  
Vol 2 (4) ◽  
pp. 28
Author(s):  
Yanti Setianti ◽  
Susanne Dida ◽  
Lilis Puspitasari ◽  
Aat Ruchiat Nugraha

Communication via social media has created a positive output on information dissemination in every aspect of life, including health. One of the social media functions is to support development by empowering the public in taking care of their own health and welfare. It is essential to develop an effective communication model for disseminating information on adolescent reproductive health. The rapid growth in the number of health reproductive information portals in the social media, the circumstances are creating a high selectivity on the right and correct information needed for the adolescent based on the particular condition in each region. 


Social media is an important avenue for information dissemination and public communication in emergency management. Through social media content analysis and in-depth interviews, this study explores how county level emergency management agencies use their Facebook pages to communicate with the public, using Hurricane Matthew as a case study. The findings reveal some areas of congruence between literature and practitioner experience. The results suggest that public agencies integrate flexible social media strategies, which emphasize one-way communication when the public expects larger volumes of information and directions, and two-way communication when the public might have individualized needs. Furthermore, the findings show that visual content (e.g. pictures) are more likely to garner higher levels of public engagement on Facebook. Last, the study provides several practical suggestions for content creation and interaction on social media for emergency purposes.


2021 ◽  
Author(s):  
Zina Fan ◽  
Wenqiang Yin ◽  
Han Zhang ◽  
Dandan Wang ◽  
Chengxin Fan ◽  
...  

BACKGROUND The COVID-19 outbreak has tremendously impacted the world. The number of confirmed cases has continued to increase, causing damage to society and the economy worldwide. The public pays close attention to information on the pandemic and learns about the disease through various media outlets. The dissemination of comprehensive and accurate COVID-19 information that the public needs helps to educate people so they can take preventive measures. OBJECTIVE This study aimed to examine the dissemination of COVID-19 information by analyzing the information released by the official WeChat account of the <i>People’s Daily</i> during the pandemic. The most-read COVID-19 information in China was summarized, and the factors that influence information dissemination were studied to understand the characteristics that affect its dissemination. Moreover, this was conducted in order to identify how to effectively disseminate COVID-19 information and to provide suggestions on how to manage public opinion and information governance during a pandemic. METHODS This was a retrospective study based on a WeChat official account. We collected all COVID-19–related information, starting with the first report about COVID-19 from the <i>People’s Daily</i> and ending with the last piece of information about lifting the first-level emergency response in 34 Chinese provinces. A descriptive analysis was then conducted on this information, as well as on Qingbo Big Data’s dissemination index. Multiple linear regression was utilized to study the factors that affected information dissemination based on various characteristics and the dissemination index. RESULTS From January 19 to May 2, 2020, the <i>People’s Daily</i> released 1984 pieces of information; 1621 were related to COVID-19, which mainly included headline news items, items with emotional content, and issues related to the pandemic’s development. By analyzing the dissemination index, seven information dissemination peaks were discerned. Among the three dimensions of COVID-19 information—media salience, content, and format—eight factors affected the spread of COVID-19 information. CONCLUSIONS Different types of pandemic-related information have varying dissemination power. To effectively disseminate information and prevent the spread of COVID-19, we should identify the factors that affect this dissemination. We should then disseminate the types of information the public is most concerned about, use information to educate people to improve their health literacy, and improve public opinion and information governance.


2021 ◽  
Author(s):  
Michael A. Gisondi ◽  
Daniel Chambers ◽  
Tatum Minh La ◽  
Alexa Ryan ◽  
Adyant Shankar ◽  
...  

BACKGROUND The COVID-19 pandemic continues to challenge the world’s population, with approximately 266 million cases and 5 million deaths to date. COVID-19 misinformation and disinformation led to vaccine hesitancy among the public, particularly in vulnerable communities, which persists today. Social media companies are attempting to curb the ongoing spread of an overwhelming amount of COVID-19 misinformation on their platforms. In response to this problem, the authors hosted INFODEMIC: A Stanford Conference on Social Media and COVID-19 Misinformation (INFODEMIC) to develop best practices for social media companies to mitigate online misinformation and disinformation. OBJECTIVE The primary aim of this study was to develop recommendations for social media companies to address The COVID-19 Infodemic. The authors report the methods used to execute the INFODEMIC conference, conference attendee engagement and analytics, and a qualitative thematic analysis of the conference presentations. The primary study outcomes were the identified themes and corresponding recommendations. METHODS Using a constructivist paradigm, the authors conducted a thematic analysis of the 6-hour conference transcript to develop best practice recommendations. The INFODEMIC conference was the study intervention, the conference speakers were the study participants, and transcripts of their presentations were the data for this study. The authors followed the 6-step framework for thematic analysis described by Clark and Braun. They also used descriptive statistics to report measures of conference engagement including registrations, viewership, post-conference asynchronous participation, and conference evaluations. RESULTS A total of 26 participants spoke at the virtual conference and represented a wide array of occupations, expertise, and countries of origin. From their remarks, the authors identified 18 response categories and four themes: trust, equity, social media practices, and interorganizational partnerships. From these, a total of 16 best practice recommendations were formulated for social media companies, healthcare organizations, and the general public. These recommendations focused on rebuilding trust in science and medicine among certain communities, redesigning social media platforms and algorithms to reduce the spread of misinformation, improving partnerships between key stakeholders, and educating the public to critically analyze online information. Of the 1,090 conference registrants, 587 (54%) attended the live conference and another 9,996 individuals viewed or listened to the conference recordings asynchronously. Conference evaluations averaged 8.9 (best = 10). CONCLUSIONS Social media companies play a significant role in the The COVID-19 Infodemic and should adopt evidence-based measures to mitigate misinformation on their platforms.


2020 ◽  
Author(s):  
Tymor Hamamsy ◽  
Richard Bonneau

BACKGROUND Since the COVID-19 pandemic started, the public has been eager for news about promising treatments, and social media has played a large role in information dissemination. OBJECTIVE In this paper, our objectives are to characterize the public discussion of treatments on Twitter, and demonstrate the utility of these discussions for public health surveillance. METHODS We pulled tweets related to three promising COVID-19 treatments (hydroxychloroquine, remdevisir and convalescent plasma), between the dates of February 28th and May 22nd using the Twitter public API. We characterize treatment tweet trends over this time period. RESULTS Most major tweet/retweet/sentiment trends correlated to public announcement made by the white house and/or to new clinical trial evidence about treatments. Most of the websites people shared in treatment-related tweets were non-scientific media sources that leaned conservative. Hydroxychloroquine was the most discussed treatment on Twitter, and over 10% of hydroxychloroquine tweets mentioned an adverse drug reaction. CONCLUSIONS There is a gap between the public’s attention/discussion around COVID-19 treatments and their evidence. Twitter data can and should be used public health surveillance during this pandemic, as it is informative for monitoring adverse drug reactions, especially as many people avoid going to hospitals/doctors.


Koneksi ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 338
Author(s):  
Ryo Ryo ◽  
Farid Rusdi

In an era that is all digital, where the exchange of messages occurs so fast and obtains information via the internet. The public can get national and foreign information and news. The most widely used information dissemination now is social media. The most popular social media in the past few years is Instagram. One of them is the @Jktinfo account, an online media that practices citizen journalism, which has been trusted as a credible media based on information content in the city of Jakarta. The author is interested in seeing the effect of citizen journalism practices on meeting the information needs of the public on the @Jktinfo Instagram account in Jakarta. The purpose of this study was to see the effect of citizen journalism practices on online media @Jktinfo on meeting the information needs of the community. The theories used in this research are (E) new media theory, social media, citizen journalism, usability and satisfaction theory, and information needs. The method used in this research is quantitative method. The sample selection technique used is a non-probability sampling technique with a convenient type of sample selection technique. Collecting data in this study is by means of a questionnaire to 150 respondents who are followers of the @jktinfo account and become citizen journalism in the Jakarta area. The results showed that citizen journalism has a significant influence on meeting the information needs of the public in Jakarta.Di era yang serba digital dimana pertukaran pesan terjadi begitu cepat dan mendapatkan informasi melalui internet. Masyarakat dapat memperoleh informasi dan berita nasional maupun mancanegara. Penyebaran informasi yang sangat ramai digunakan sekarang adalah media sosial. Media sosial yang sangat populer beberapa tahun kebelakang adalah instagram. Salah satunya adalah akun @Jktinfo merupakan media online yang melakukan praktik jurnalisme warga yang telah dipercaya sebagai media yang kredibel dengan berbasis konten informasi di wilayah kota Jakarta. Penulis tertarik untuk melihat pengaruh praktik jurnalisme warga terhadap pemenuhan kebutuhan informasi masyarakat pada akun Instagram @Jktinfo di Jakarta. Tujuan penelitian ini adalah untuk melihat pengaruh praktik jurnalisme warga pada media online @Jktinfo terhadap pemenuhan kebutuhan informasi masyarakat. Teori yang digunakan dalam penelitian ini yaitu (E) teori media baru, media sosial, jurnalisme warga, teori kegunaan dan kepuasan, dan kebutuhan informasi. Metode yang digunakan dalam penelitian ini adalah metode kuantitatif. Teknik pemilihan sampel yang digunakan adalah teknik non probability sampling dengan jenis teknik pemilihan sampel secara nyaman. Pengumpulan data dalam penelitian ini yaitu dengan cara kuesioner kepada 150 responden yang merupakan pengikut dari akun @jktinfo dan menjadi citizen journalism di wilayah Jakarta. Hasil penelitian menunjukkan bahwa citizen journalism memiliki pengaruh yang signifikan terhadap pemenuhan kebutuhan informasi masyarakat di Jakarta.


Author(s):  
Tymor Hamamsy ◽  
Richard Bonneau

AbstractSince the COVID-19 pandemic started, the public has been eager for news about promising treatments, and social media has played a large role in information dissemination. In this paper, our objectives are to characterize the public discussion of treatments on Twitter, and demonstrate the utility of these discussions for public health surveillance. We pulled tweets related to three promising COVID-19 treatments (hydroxychloroquine, remdesivir and convalescent plasma), between the dates of February 28th and May 22nd using the Twitter public API. We characterize treatment tweet trends over this time period. Most major tweet/retweet/sentiment trends correlated to public announcement made by the white house and/or to new clinical trial evidence about treatments. Most of the websites people shared in treatment-related tweets were non-scientific, ideological media sources that leaned conservative. Hydroxychloroquine was the most discussed treatment on Twitter. There is a gap between the public attention/discussion around COVID-19 treatments and their evidence. Twitter data can and should be used for public health surveillance during this pandemic, as it is informative for monitoring adverse drug reactions, especially as many people avoid going to hospitals/doctors.


2020 ◽  
Vol 3 (1) ◽  
pp. 23-26
Author(s):  
Lenny Husna ◽  
Yusli Yenni

Nowadays almost all aspects of life use technology. Progress in technology will also be accompanied by developments in information and communication technology. The development of technology and communication using internet media that is widely used today is social media. Some people use social media for means of social integration, communication and publicizing activities, but in its development social media can also be used for business activities in terms of promotion and marketing. The use of social media for business activities has a very positive impact on improving the welfare of the community economically. To achieve these objectives, training and coaching to the public regarding the use of social media are held. The training was carried out at the Pesona Rhabayu Housing Community of Patam Lestari Village, Sekupang District, Batam. The training was conducted by monitoring and tutorials on how to use social media properly, including information dissemination on the Information and Electronic Transaction Law (UU ITE) so that the community has a legal basis for using social media. The first result of this dedication is that people's understanding of the ITE Law can be seen from discussions and questions and answers, secondly, people's ability to access and utilize social media for business facilities by forming a social media group as a forum for the community to promote their efforts.Keywords: Law, social media and ITE


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