Searching for superspreaders of information in real-world social media.
Ontology highlight
ABSTRACT:
SUBMITTER: Pei S
PROVIDER: S-EPMC4080224 | biostudies-other | 2014
REPOSITORIES: biostudies-other
Similar Datasets
Project description:ObjectiveTo survey the social media outlets Twitter and Instagram for public posts related to adenoidectomy surgery. This study aims to investigate the attitudes and perceptions of patients and caregivers on social media, through thematic content-analysis of social media posts regarding adenoidectomy.Study designNon-real world qualitative study.SettingTwitter and Instagram social media platforms.MethodsPublic posts uploaded between February, 2021 and February, 2023 using the hashtags "#adenoidectomy," and "#adenoidectomyrecovery" were searched. Posts were excluded if they were unrelated to adenoidectomy or were in a non-English language. Relevant posts were stratified demographically as patient or caregiver and pre- or postoperative, and categorized into relevant themes for analysis. Outcomes were measured as the total number of posts.ResultsA total of 394 relevant posts were analyzed. A significance threshold of P < 0.05 was used. Patients posted significantly more posts regarding procedure pain (P = 0.002) and concern for appearance (P = 0.048) compared to caregivers. Caregivers posted significantly (P < 0.001) more posts regarding condition awareness and were significantly (P < 0.001) more likely to spread positivity in their posts compared to patients themselves. Posts made by female caregivers were more likely to reference fear, while those made by male caregivers were more likely to provide education (P = 0.002).ConclusionPatients may worry about appearance and mental health while caregivers are more likely to spread information and positivity. Male and female caregivers may also use social media differently. A better understanding of patient and caregiver concerns may optimize physician interaction and involvement.
| S-EPMC10809292 | biostudies-literature
Project description:BACKGROUND:Social prescribing is a process whereby primary care patients are linked or referred to nonmedical sources of support in the community and voluntary sector. It is a concept that has arisen in practice and implemented widely in the United Kingdom and has been evaluated by various organizations. OBJECTIVE:The aim of our study was to characterize, collate, and analyze the evidence from evaluation of social prescribing for type 2 diabetes in the United Kingdom and Ireland, comparing information available on publicly available websites with the published literature. METHODS:We used a broad, pragmatic definition of social prescribing and conducted Web-based searches for websites of organizations providing potentially relevant services. We also explored linked information. In parallel, we searched Medline, PubMed, Cochrane Library, Google Scholar, and reference lists for relevant studies published in peer-reviewed journals. We extracted the data systematically on the characteristics, any reported evaluation, outcomes measured and results, and terminology used to describe each service. RESULTS:We identified 40 UK- or Ireland-based projects that referred people with type 2 diabetes and prediabetes to nonmedical interventions or services provided in the community. We located evaluations of 24 projects; 11 as published papers, 12 as Web-based reports, and 1 as both a paper and a Web-based report. The interventions and services identified included structured group educational programs, exercise referral schemes, and individualized advice and support with signposting of health-related activities in the community. Although specific interventions such as community-based group educational programs and exercise referral have been evaluated in randomized controlled trials, evaluation of individualized social prescribing services involving people with type 2 diabetes has, in most cases, used pre-post and mixed methods approaches. These evaluations report generic improvement in a broad range of outcomes and provide an insight into the criteria for the success of social prescribing services. CONCLUSIONS:Our study revealed the varied models of social prescribing and nonmedical, community-based services available to people with type 2 diabetes and the extent of evaluation of these, which would not have been achieved by searching databases alone. The findings of this scoping study do not prove that social prescribing is an effective measure for people with type 2 diabetes in the United Kingdom, but can be used to inform future evaluation and contribute to the development of the evidence base for social prescribing. Accessing Web-based information provides a potential method for investigating how specific innovative health concepts, such as social prescribing, have been translated, implemented, and evaluated in practice. Several challenges were encountered including defining the concept, focusing on process plus intervention, and searching diverse, evolving Web-based sources. Further exploration of this approach will inform future research on the application of innovative health care concepts into practice.
| S-EPMC5314100 | biostudies-literature
Project description:On-line social networks publish information on a high volume of real-world events almost instantly, becoming a primary source for breaking news. Some of these real-world events can end up having a very strong impact on on-line social networks. The effect of such events can be analyzed from several perspectives, one of them being the intensity and characteristics of the collective activity that it produces in the social platform. We research 5,234 real-world news events encompassing 43 million messages discussed on the Twitter microblogging service for approximately 1 year. We show empirically that exogenous news events naturally create collective patterns of bursty behavior in combination with long periods of inactivity in the network. This type of behavior agrees with other patterns previously observed in other types of natural collective phenomena, as well as in individual human communications. In addition, we propose a methodology to classify news events according to the different levels of intensity in activity that they produce. In particular, we analyze the most highly active events and observe a consistent and strikingly different collective reaction from users when they are exposed to such events. This reaction is independent of an event's reach and scope. We further observe that extremely high-activity events have characteristics that are quite distinguishable at the beginning stages of their outbreak. This allows us to predict with high precision, the top 8% of events that will have the most impact in the social network by just using the first 5% of the information of an event's lifetime evolution. This strongly implies that high-activity events are naturally prioritized collectively by the social network, engaging users early on, way before they are brought to the mainstream audience.
| S-EPMC5161319 | biostudies-literature
Project description:Differences in popularity are a key aspect of status in virtually all human groups and shape social interactions within them. Little is known, however, about how we track and neurally represent others' popularity. We addressed this question in two real-world social networks using sociometric methods to quantify popularity. Each group member (perceiver) viewed faces of every other group member (target) while whole-brain functional MRI data were collected. Independent functional localizer tasks were used to identify brain systems supporting affective valuation (ventromedial prefrontal cortex, ventral striatum, amygdala) and social cognition (dorsomedial prefrontal cortex, precuneus, temporoparietal junction), respectively. During the face-viewing task, activity in both types of neural systems tracked targets' sociometric popularity, even when controlling for potential confounds. The target popularity-social cognition system relationship was mediated by valuation system activity, suggesting that observing popular individuals elicits value signals that facilitate understanding their mental states. The target popularity-valuation system relationship was strongest for popular perceivers, suggesting enhanced sensitivity to differences among other group members' popularity. Popular group members also demonstrated greater interpersonal sensitivity by more accurately predicting how their own personalities were perceived by other individuals in the social network. These data offer insights into the mechanisms by which status guides social behavior.
| S-EPMC4679039 | biostudies-other
Project description:BACKGROUND:Social anxiety lies on a continuum, and young adults with elevated symptoms are at risk for developing a range of psychiatric disorders. Yet relatively little is known about the factors that govern the hour-by-hour experience and expression of social anxiety in the real world. METHODS:Here we used smartphone-based ecological momentary assessment (EMA) to intensively sample emotional experience across different social contexts in the daily lives of 228 young adults selectively recruited to represent a broad spectrum of social anxiety symptoms. RESULTS:Leveraging data from over 11 000 real-world assessments, our results highlight the central role of close friends, family members, and romantic partners. The presence of such close companions was associated with enhanced mood, yet socially anxious individuals had fewer confidants and spent less time with the close companions that they do have. Although higher levels of social anxiety were associated with a general worsening of mood, socially anxious individuals appear to derive larger benefits - lower levels of negative affect, anxiety, and depression - from their close companions. In contrast, variation in social anxiety was unrelated to the amount of time spent with strangers, co-workers, and acquaintances; and we uncovered no evidence of emotional hypersensitivity to these less-familiar individuals. CONCLUSIONS:These findings provide a framework for understanding the deleterious consequences of social anxiety in emerging adulthood and set the stage for developing improved intervention strategies.
| S-EPMC7028452 | biostudies-literature
Project description:BackgroundCutaneous melanoma is an aggressive malignancy that is proposed to account for 90% of skin cancer-related mortality. Individuals with melanoma experience both physical and psychological impacts associated with their diagnosis and treatment. Health-related information is being increasingly accessed and shared by stakeholders on social media platforms.ObjectiveThis study aimed to assess how individuals living with melanoma across 14 European countries use social media to discuss their needs and provide their perceptions of the disease.MethodsSocial media sources including Twitter, forums, and blogs were searched using predefined search strings of keywords relating to melanoma. Manual and automated relevancy approaches filtered the extracted data for content that provided patient-centric insights. This contextualized data was then mined for insightful concepts around the symptoms, diagnosis, treatment, impacts, and lived experiences of melanoma.ResultsA total of 182,400 posts related to melanoma were identified between November 2018 and November 2020. Following exclusion of irrelevant posts and using random sampling methodology, 864 posts were identified as relevant to the study objectives. Of the social media channels included, Twitter was the most commonly used, followed by forums and blogs. Most posts originated from the United Kingdom (n=328, 38%) and Spain (n=138, 16%). Of the relevant posts, 62% (n=536) were categorized as originating from individuals with melanoma. The most frequently discussed melanoma-related topics were treatment (436/792, 55%), diagnosis and tests (261/792, 33%), and remission (190/792, 24%). The majority of treatment discussions were about surgery (292/436, 67%), followed by immunotherapy (52/436, 12%). In total, 255 posts discussed the impacts of melanoma, which included emotional burden (n=179, 70%), physical impacts (n=61, 24%), effects on social life (n=43, 17%), and financial impacts (n=10, 4%).ConclusionsFindings from this study highlight how melanoma stakeholders discuss key concepts associated with the condition on social media, adding to the conceptual model of the patient journey. This social media listening approach is a powerful tool for exploring melanoma stakeholder perspectives, providing insights that can be used to corroborate existing data and inform future studies.
| S-EPMC9237767 | biostudies-literature
Project description: Not available
| S-EPMC10656574 | biostudies-literature
Project description:BackgroundInformation on sexual and reproductive health is increasingly disseminated via social media and reaches a large audience.Research aimAgainst this background, the aim of this paper is to systematically summarize the international state of research on sexual health information on social media for the first time with a scoping review. Seven research questions were explored, relating to the amount (F1), methods (F2: content analysis, F3: quality analysis), and results (F4: providers, F5: target groups, F6: topics, F7: quality of information) of previous studies.Materials and methodsThe study follows the PRISMA framework for scoping reviews as well as the Open Science approach. It is preregistered, and all materials (codebook with reliability coefficients) and data (list of identified studies and coding of studies) are available on the Open Science Foundation server.ResultsA total of 69 studies with 72 data sets were identified, with more than half of the publications referring to YouTube (F1). Qualitative and quantitative methods of content analysis are used equally (F2) and quality analyses are rare (F3). Health laypersons dominate as the information providers (F4). The target groups are mostly unspecified (F5). The health information on social media examined in the previous studies covers a broad range of topics (F6). Where quality assessments were made, they tended to be negative (F7).DiscussionMore research is needed to better understand sexual and reproductive health information on social media and to promote its quality and constructive use.
| S-EPMC8550659 | biostudies-literature
Project description:Modern social media are becoming overloaded with information because of the rapidly-expanding number of information feeds. We analyze the user-generated content in Sina Weibo, and find evidence that the spread of popular messages often follow a mechanism that differs from the spread of disease, in contrast to common belief. In this mechanism, an individual with more friends needs more repeated exposures to spread further the information. Moreover, our data suggest that for certain messages the chance of an individual to share the message is proportional to the fraction of its neighbours who shared it with him/her, which is a result of competition for attention. We model this process using a fractional susceptible infected recovered (FSIR) model, where the infection probability of a node is proportional to its fraction of infected neighbors. Our findings have dramatic implications for information contagion. For example, using the FSIR model we find that real-world social networks have a finite epidemic threshold in contrast to the zero threshold in disease epidemic models. This means that when individuals are overloaded with excess information feeds, the information either reaches out the population if it is above the critical epidemic threshold, or it would never be well received.
| S-EPMC4498816 | biostudies-literature
Project description:This study aimed to identify what information triggered social media users' responses regarding infectious diseases. Chinese microblogs in 2012 regarding 42 infectious diseases were obtained through a keyword search in the Weiboscope database. Qualitative content analysis was performed for the posts pertinent to each keyword of the day of the year with the highest daily count. Similar posts were grouped and coded. We identified five categories of information that increased microblog traffic pertaining to infectious diseases: news of an outbreak or a case; health education/information; alternative health information/Traditional Chinese Medicine; commercial advertisement/entertainment; and social issues. News unrelated to the specified infectious diseases also led to elevated microblog traffic. Our study showcases the diverse contexts from which increased social media traffic occur. Our results will facilitate better health communication as causes underlying increased social media traffic are revealed.
| S-EPMC4422708 | biostudies-literature