scholarly journals #CardioOncology: Twitter chat as a mechanism for increasing awareness of heart health for cancer patients

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Claire C. Conley ◽  
Neha G. Goyal ◽  
Sherry-Ann Brown

Abstract Consideration of heart health for cancer survivors is increasingly important, as improved cancer survivorship has resulted in a growing number of survivors affected by cardiovascular disease. However, there is limited knowledge of cardio-oncology among both patients and a variety of health professionals. Thus, efforts are needed to increase awareness about cardio-oncology. Social media represents one potential opportunity to disseminate information about cardio-oncology to a large audience. We highlight one example of a social media educational/advocacy campaign conducted on Twitter (a “Twitter Chat”) that garnered nearly 1.2 million impressions (views by Twitter users) in just 24 h. We provide both quantitative and qualitative data to support the efficacy of using Twitter for such educational/advocacy campaigns, and describe key features that contributed to its success. Twitter Chats inexpensively utilize innovative technology to provide education and foster community. Long-term studies are needed to understand whether Twitter Chats can change knowledge and behavior related to cardio-oncology.

2017 ◽  
Vol 37 (1) ◽  
pp. 57-65 ◽  
Author(s):  
Chamil Rathnayake ◽  
Wayne Buente

The role of automated or semiautomated social media accounts, commonly known as “bots,” in social and political processes has gained significant scholarly attention. The current body of research discusses how bots can be designed to achieve specific purposes as well as instances of unexpected negative outcomes of such use. We suggest that the interplay between social media affordances and user practices can result in incidental effects from automated agents. We examined a Twitter network data set with 1,782 nodes and 5,640 edges to demonstrate the engagement and outreach of a retweeting bot called Siripalabot that was popular among Sri Lankan Twitter users. The bot served the simple function of retweeting tweets with hashtags #SriLanka and #lk to its follower network. However, the co-use of #Sri Lanka and/or #lk with #PresPollSL, a hashtag used to discuss politics related to Sri Lanka’s presidential election in 2015, resulted in the bot incidentally amplifying the political voice of less engaged actors. The analysis demonstrated that the bot dominated the network in terms of engagement (out-degree) and the ability to connect distant clusters of actors (betweenness centrality) while more traditional actors, such as the main election candidates and news accounts, indicated more prestige (in-degree) and power (eigenvector centrality). We suggest that the study of automated agents should include designer intentions, the design and behavior of automated agents, user expectations, as well as unintended and incidental effects of interaction.


2021 ◽  
Vol 3 (3) ◽  
pp. 230-235
Author(s):  
Nayla Rizqiyah ◽  
Dinie Anggraeni Dewi

The stage of human development in psychology is divided into several phases. In this case, the social psychology theory of development and behavior will be used to explore the patterns of social media influence. By using the case study method, this study aims to determine how the influence of Twitter social media on the national insight of adolescents. According to Erikson, adolescence begins at the age of 15-20 years. The main instrument that influences the national insight of the younger generation today is content from Twitter users themselves, as well as from influencers or public figures who provide knowledge or introduce new mindsets in dealing with national issues. Sometimes it is just to add the national insight that Twitter users have. The purpose of writing this article is to find out how teenage Twitter users are able to accept existing content and how it affects their national insight


Author(s):  
Juan M. Banda ◽  
Gurdas Viguruji Singh ◽  
Osaid Alser ◽  
DANIEL PRIETO-ALHAMBRA

As the COVID-19 virus continues to infect people across the globe, there is little understanding of the long term implications for recovered patients. There have been reports of persistent symptoms after confirmed infections on patients even after three months of initial recovery. While some of these patients have documented follow-ups on clinical records, or participate in longitudinal surveys, these datasets are usually not publicly available or standardized to perform longitudinal analyses on them. Therefore, there is a need to use additional data sources for continued follow-up and identification of latent symptoms that might be underreported in other places. In this work we present a preliminary characterization of post-COVID-19 symptoms using social media data from Twitter. We use a combination of natural language processing and clinician reviews to identify long term self-reported symptoms on a set of Twitter users.


Author(s):  
Saura ◽  
Reyes-Menendez ◽  
Palos-Sanchez

The Black Friday event has become a global opportunity for marketing and companies’ strategies aimed at increasing sales. The present study aims to understand consumer behavior through the analysis of user-generated content (UGC) on social media with respect to the Black Friday 2018 offers published by the 23 largest technology companies in Spain. To this end, we analyzed Twitter-based UGC about companies’ offers using a three-step data text mining process. First, a Latent Dirichlet Allocation Model (LDA) was used to divide the sample into topics related to Black Friday. In the next step, sentiment analysis (SA) using Python was carried out to determine the feelings towards the identified topics and offers published by the companies on Twitter. Thirdly and finally, a data-text mining process called textual analysis (TA) was performed to identify insights that could help companies to improve their promotion and marketing strategies as well as to better understand the customer behavior on social media. The results show that consumers had positive perceptions of such topics as exclusive promotions (EP) and smartphones (SM); by contrast, topics such as fraud (FA), insults and noise (IN), and customer support (CS) were negatively perceived by customers. Based on these results, we offer guidelines to practitioners to improve their social media communication. Our results also have theoretical implications that can promote further research in this area.


2017 ◽  
Vol 3 (1) ◽  
pp. 205630511769849 ◽  
Author(s):  
Nicholas Proferes

There is a dearth of research on the public’s beliefs about how social media technologies work. To help address this gap, this article presents the results of an exploratory survey that probes user and non-user beliefs about the techno-cultural and socioeconomic facets of Twitter. While many users are well-versed in producing and consuming information on Twitter, and understand Twitter makes money through advertising, the analysis reveals gaps in users’ understandings of the following: what other Twitter users can see or send, the kinds of user data Twitter collects through third parties, Twitter and Twitter partners’ commodification of user-generated content, and what happens to Tweets in the long term. This article suggests the concept of “information flow solipsism” as a way of describing the resulting subjective belief structure. The article discusses implications information flow solipsism has for users’ abilities to make purposeful and meaningful choices about the use and governance of social media spaces, to evaluate the information contained in these spaces, to understand how content users create is utilized by others in the short and long term, and to conceptualize what information other users experience.


2020 ◽  
Vol 3 (3) ◽  
pp. 273-289 ◽  
Author(s):  
Patrokil Kanje ◽  
Goodluck Charles ◽  
Elly Tumsifu ◽  
Lena Mossberg ◽  
Tommy Andersson

PurposeThe purpose of this article is to examine the role of customer engagement (CE) on electronic word of mouth (eWOM) behavior among vacationers in Tanzania. The article disaggregates CE into cognitive process, affection and behavior and integrates eWOM passing into the eWOM concept.Design/methodology/approachA sample of 278 vacationers who had used social media before and/or during their trip in Tanzania was used. They were drawn at three major airports in Tanzania when exiting the destination. Structural equation modeling (SEM) was used to test the proposed relationships.FindingsIt is revealed that both the affective CE and behavioral CE positively relate to vacationers' eWOM seeking, giving and passing behaviors in tourism-related sites. On the other hand the cognitive CE relates positively only with eWOM passing behaviors.Research limitations/implicationsThe varied relationship of the three CE dimensions (cognitive, affective and behavioral) with eWOM behaviors further confirms the multi-dimensionality of CE and the enduring psychological connection of individuals beyond participation in activities.Practical implicationsCE is multifaceted and enduring and thus managers should take a long-term, enduring and multidimensional perspective in facilitating CE development. Different content appeals are needed in facilitating CE in online platforms as CE dimensions relate variedly with eWOM behaviorsOriginality/valueThe study links CE and eWOM in a novel way by disaggregating CE and integrating the eWOM passing component into the eWOM concept in tourism-related social media sites.


2020 ◽  
Author(s):  
Aleksandra Urman ◽  
Stefania Ionescu ◽  
David Garcia ◽  
Anikó Hannák

BACKGROUND Since the beginning of the COVID-19 pandemic, scientists have been willing to share their results quickly to speed up the development of potential treatments and/or a vaccine. At the same time, traditional peer-review-based publication systems are not always able to process new research promptly. This has contributed to a surge in the number of medical preprints published since January 2020. In the absence of a vaccine, preventative measures such as social distancing are most helpful in slowing the spread of COVID-19. Their effectiveness can be undermined if the public does not comply with them. Hence, public discourse can have a direct effect on the progression of the pandemic. Research shows that social media discussions on COVID-19 are driven mainly by the findings from preprints, not peer-reviewed papers, highlighting the need to examine the ways medical preprints are shared and discussed online. OBJECTIVE We examine the patterns of medRxiv preprint sharing on Twitter to establish (1) whether the number of tweets linking to medRxiv increased with the advent of the COVID-19 pandemic; (2) which medical preprints were mentioned on Twitter most often; (3) whether medRxiv sharing patterns on Twitter exhibit political partisanship; (4) whether the discourse surrounding medical preprints among Twitter users has changed throughout the pandemic. METHODS The analysis is based on tweets (n=557,405) containing links to medRxriv preprint repository that were posted between the creation of the repository in June 2019 and June 2020. The study relies on a combination of statistical techniques and text analysis methods. RESULTS Since January 2020, the number of tweets linking to medRxiv has increased drastically, peaking in April 2020 with a subsequent cool-down. Before the pandemic, preprints were shared predominantly by users we identify as medical professionals and scientists. After January 2020, other users, including politically-engaged ones, have started increasingly tweeting about medRxiv. Our findings indicate a political divide in sharing patterns of the top-10 most-tweeted preprints. All of them were shared more frequently by users who describe themselves as Republicans than by users who describe themselves as Democrats. Finally, we observe a change in the discourse around medRxiv preprints. Pre-pandemic tweets linking to them were predominantly using the word “preprint”. In February 2020 “preprint” was taken over by the word “study”. Our analysis suggests this change is at least partially driven by politically-engaged users. Widely shared medical preprints can have a direct effect on the public discourse around COVID-19, which in turn can affect the societies’ willingness to comply with preventative measures. This calls for an increased responsibility when dealing with medical preprints from all parties involved: scientists, preprint repositories, media, politicians, and social media companies. CONCLUSIONS Widely shared medical preprints can have a direct effect on the public discourse around COVID-19, which in turn can affect the societies’ willingness to comply with preventative measures. This calls for an increased responsibility when dealing with medical preprints from all parties involved: scientists, preprint repositories, media, politicians, and social media companies.


Sign in / Sign up

Export Citation Format

Share Document