scholarly journals EPID-30. A TWITTER-BASED NETWORK ANALYSIS OF BRAIN TUMOR SOCIAL MEDIA (#BTSM)

2019 ◽  
Vol 21 (Supplement_6) ◽  
pp. vi81-vi81
Author(s):  
Josemari Feliciano ◽  
Liz Salmi ◽  
Charlie Blotner ◽  
Adam Hayden ◽  
Edjah Nduom ◽  
...  
Keyword(s):  
Social Media ◽  
Brain Tumor ◽  
Advocacy Groups ◽  
Content Sharing ◽  
Patient Advocate ◽  
Patient Organizations ◽  
Key Stakeholders ◽  
Patient Advocates ◽  
Medical Researcher ◽  
Over Time

Abstract BACKGROUND The Brain Tumor Social Media (#BTSM) Twitter hashtag was founded in February 2012 as a disease-specific hashtag for brain tumor patients. To understand #BTSM’s role as a patient support system we describe user descriptors, growth, interaction, and content sharing. METHODS We analyzed all tweets containing #BTSM from 2012 to 2018 using the Symplur Signals platform to obtain data and to describe Symplur-defined user categories, tweet content, and trends in use over time. We created a network plot with all publicly-available retweets involving #BTSM in 2018 to visualize key stakeholders and their connections to other users. RESULTS From 2012 to 2018, 59764 unique users participated in #BTSM, amassing 298904 tweets. The yearly volume of #BTSM tweets increased by 264% from 2012 to 2018 with #BTSM constantly trending in the top 15 list of disease hashtags, as well the top 15 list of tweet chats. Patient advocates generated the most #BTSM tweets (33.0%) while advocacy groups, researchers, caregivers and doctors, generated 28.8%, 7.0%, 4.6% and 3.9%, respectively. Physician use, although still low, has increased over time. The 2018 network plot of retweets including #BTSM identifies a number of key stakeholders from the patient advocate, patient organization, and medical researcher domains and reveals the extent of their reach to other users. CONCLUSIONS From its start in 2012, #BTSM has grown exponentially over time. We believe its growth suggests its potential as a global source of brain tumor information for patients, advocates, patient organizations as well as healthcare professionals and researchers.

scholarly journals Brain Tumor Discussions on Twitter (#BTSM): Social Network Analysis (Preprint)

2020 ◽  
Author(s):  
Josemari T Feliciano ◽  
Liz Salmi ◽  
Charlie Blotner ◽  
Adam Hayden ◽  
Edjah K Nduom ◽  
...  
Keyword(s):  
Brain Tumor ◽  
Health Care Professionals ◽  
Advocacy Groups ◽  
Content Sharing ◽  
Patient Advocate ◽  
Patient Organizations ◽  
Key Stakeholders ◽  
Patient Advocates ◽  
Medical Researcher ◽  
Over Time

BACKGROUND The Brain Tumor Social Media (#BTSM) Twitter hashtag was founded in February 2012 as a disease-specific hashtag for patients with brain tumor. OBJECTIVE To understand #BTSM’s role as a patient support system, we describe user descriptors, growth, interaction, and content sharing. METHODS We analyzed all tweets containing #BTSM from 2012 to 2018 using the Symplur Signals platform to obtain data and to describe Symplur-defined user categories, tweet content, and trends in use over time. We created a network plot with all publicly available retweets involving #BTSM in 2018 to visualize key stakeholders and their connections to other users. RESULTS From 2012 to 2018, 59,764 unique users participated in #BTSM, amassing 298,904 tweets. The yearly volume of #BTSM tweets increased by 264.57% from 16,394 in 2012 to 43,373 in 2018 with #BTSM constantly trending in the top 15 list of disease hashtags, as well the top 15 list of tweet chats. Patient advocates generated the most #BTSM tweets (33.13%), while advocacy groups, caregivers, doctors, and researchers generated 7.01%, 4.63%, 3.86%, and 3.37%, respectively. Physician use, although still low, has increased over time. The 2018 network plot of retweets including #BTSM identifies a number of key stakeholders from the patient advocate, patient organization, and medical researcher domains and reveals the extent of their reach to other users. CONCLUSIONS From its start in 2012, #BTSM has grown exponentially over time. We believe its growth suggests its potential as a global source of brain tumor information on Twitter for patients, advocates, patient organizations as well as health care professionals and researchers.

scholarly journals Brain Tumor Discussions on Twitter (#BTSM): Social Network Analysis

10.2196/22005 ◽  
2020 ◽  
Vol 22 (10) ◽  
pp. e22005
Author(s):  
Josemari T Feliciano ◽  
Liz Salmi ◽  
Charlie Blotner ◽  
Adam Hayden ◽  
Edjah K Nduom ◽  
...  
Keyword(s):  
Brain Tumor ◽  
Health Care Professionals ◽  
Advocacy Groups ◽  
Content Sharing ◽  
Patient Advocate ◽  
Patient Organizations ◽  
Key Stakeholders ◽  
Patient Advocates ◽  
Medical Researcher ◽  
Over Time

Background The Brain Tumor Social Media (#BTSM) Twitter hashtag was founded in February 2012 as a disease-specific hashtag for patients with brain tumor. Objective To understand #BTSM’s role as a patient support system, we describe user descriptors, growth, interaction, and content sharing. Methods We analyzed all tweets containing #BTSM from 2012 to 2018 using the Symplur Signals platform to obtain data and to describe Symplur-defined user categories, tweet content, and trends in use over time. We created a network plot with all publicly available retweets involving #BTSM in 2018 to visualize key stakeholders and their connections to other users. Results From 2012 to 2018, 59,764 unique users participated in #BTSM, amassing 298,904 tweets. The yearly volume of #BTSM tweets increased by 264.57% from 16,394 in 2012 to 43,373 in 2018 with #BTSM constantly trending in the top 15 list of disease hashtags, as well the top 15 list of tweet chats. Patient advocates generated the most #BTSM tweets (33.13%), while advocacy groups, caregivers, doctors, and researchers generated 7.01%, 4.63%, 3.86%, and 3.37%, respectively. Physician use, although still low, has increased over time. The 2018 network plot of retweets including #BTSM identifies a number of key stakeholders from the patient advocate, patient organization, and medical researcher domains and reveals the extent of their reach to other users. Conclusions From its start in 2012, #BTSM has grown exponentially over time. We believe its growth suggests its potential as a global source of brain tumor information on Twitter for patients, advocates, patient organizations as well as health care professionals and researchers.

scholarly journals Engagement Analysis of Canadian Public Health and News Media Facebook Posts and Sentiment Analysis of Corresponding Comments during COVID-19

Psych ◽  
2022 ◽  
Vol 4 (1) ◽  
pp. 60-70
Author(s):  
Melissa MacKay ◽  
Taylor Colangeli ◽  
Sydney Gosselin ◽  
Sophie Neumann ◽  
Andrew Papadopoulos
Keyword(s):  
Social Media ◽  
News Media ◽  
Crisis Communication ◽  
Protective Measures ◽  
Essential Information ◽  
The Public ◽  
Key Stakeholders ◽  
Negative Comments ◽  
Health Related ◽  
Over Time

During the COVID-19 pandemic, key stakeholders have used social media to rapidly disseminate essential information to the public to help them make informed health-related decisions. Our research examined how the public responded to official actors’ Facebook posts during COVID-19 and examined the comment sentiment and post engagement rates. CBC News and CTV News received a greater proportion of negative comments and a lower average post engagement rate compared with Healthy Canadians. Additionally, the proportion of negative and positive comments varied over time for all sources; however, over 30% of the comments for all three actors were consistently negative. Key stakeholders should monitor the public’s response to their social media posts and adapt their messages to increase the effectiveness of their crisis communication efforts to encourage the adoption of protective measures.

Conflict Detection Techniques for Preserving Privacy in Social Media

2018 ◽  
pp. 78-85
Author(s):  
Fulpagare Priya K. ◽  
Nitin N. Patil
Keyword(s):  
Social Media ◽  
Privacy Management ◽  
Crucial Importance ◽  
Network Integration ◽  
Critical Problem ◽  
Detection Techniques ◽  
Privacy Preferences ◽  
Content Sharing ◽  
Privacy Settings ◽  
Relationship Network

Social Network is an emerging e-service for Content Sharing Sites (CSS). It is an emerging service which provides reliable communication. Some users over CSS affect user’s privacy on their personal contents, where some users keep on sending annoying comments and messages by taking advantage of the user’s inherent trust in their relationship network. Integration of multiple user’s privacy preferences is very difficult task, because privacy preferences may create conflict. The techniques to resolve conflicts are essentially required. Moreover, these methods need to consider how users would actually reach an agreement about a solution to the conflict in order to offer solutions acceptable by all of the concerned users. The first mechanism to resolve conflicts for multi-party privacy management in social media that is able to adapt to different situations by displaying the enterprises that users make to reach a result to the conflicts. Billions of items that are uploaded to social media are co-owned by multiple users. Only the user that uploads the item is allowed to set its privacy settings (i.e. who can access the item). This is a critical problem as users’ privacy preferences for co-owned items can conflict. Multi-party privacy management is therefore of crucial importance for users to appropriately reserve their privacy in social media.

scholarly journals Framing of visual content shown on popular social media may affect viewers’ attitudes to threatened species

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Fernando Ballejo ◽  
Pablo Ignacio Plaza ◽  
Sergio Agustín Lambertucci
Keyword(s):  
Social Media ◽  
Threatened Species ◽  
Social Medium ◽  
Visual Content ◽  
Wildlife Species ◽  
Mammalian Predators ◽  
Negative Comments ◽  
Over Time ◽  
The Way

AbstractContent published on social media may affect user’s attitudes toward wildlife species. We evaluated viewers’ responses to videos published on a popular social medium, focusing particularly on how the content was framed (i.e., the way an issue is conveyed to transmit a certain meaning). We analyzed videos posted on YouTube that showed vultures interacting with livestock. The videos were negatively or positively framed, and we evaluated viewers’ opinions of these birds through the comments posted. We also analyzed negatively framed videos of mammalian predators interacting with livestock, to evaluate whether comments on this content were similar to those on vultures. We found that the framing of the information influenced the tone of the comments. Videos showing farmers talking about their livestock losses were more likely to provoke negative comments than videos not including farmer testimonies. The probability of negative comments being posted on videos about vultures was higher than for mammalian predators. Finally, negatively framed videos on vultures had more views over time than positive ones. Our results call for caution in the presentation of wildlife species online, and highlight the need for regulations to prevent the spread of misinformed videos that could magnify existing human-wildlife conflicts.

The Evolving Overdose Epidemic: Synthetic Opioids And Rising Stimulant-Related Harms

2020 ◽  
Author(s):  
Christopher M Jones ◽  
Faraah Bekheet ◽  
Ju Nyeong Park ◽  
G Caleb Alexander
Keyword(s):  
Illicit Drug ◽  
Opioid Overdose ◽  
Prescription Opioids ◽  
Drug Supply ◽  
Synthetic Opioids ◽  
Key Stakeholders ◽  
Public Health Challenges ◽  
Concomitant Exposure ◽  
Over Time ◽  
Key Questions

Abstract The opioid overdose epidemic is typically described as having occurred in three waves, with morbidity and mortality accruing over time principally from prescription opioids (1999-2010), heroin (2011-2013) and illicit fentanyl and other synthetic opioids (2014-present). However, the increasing presence of synthetic opioids mixed into the illicit drug supply, including with stimulants such as cocaine and methamphetamine, as well as rising stimulant-related deaths, reflects the rapidly evolving nature of the overdose epidemic posing urgent and novel public health challenges. We synthesize the evidence underlying these trends, consider key questions such as where and how concomitant exposure to fentanyl and stimulants is occurring, and identify actions for key stakeholders regarding how these emerging threats, and continued evolution of the overdose epidemic, can best be addressed.

Fun with Dick and Dick: Homosociality on r/MassiveCock

Sexualities ◽  
2020 ◽  
pp. 136346072096130
Author(s):  
Rhiannon Bury ◽  
Lee Easton
Keyword(s):  
Social Media ◽  
Discourse Analysis ◽  
Gay Men ◽  
Hegemonic Masculinity ◽  
Gay Identity ◽  
Cultural Shift ◽  
Content Sharing ◽  
And Function ◽  
Selection Of

Social media and content-sharing platforms provide new opportunities for the circulation of not only professional and amateur porn productions but also “pornographic self-representation”. This study examines the interactions that occur when male pornographic self-representation is shared in an inclusive space that welcomes both straight and gay men to post dick pics and gaze/comment on them. Focusing on the Reddit forum, Massive Cock, we conducted a discourse analysis of a selection of posts, comments and account profiles collected over a seven-month period. Based on our findings, we contend that Massive is a homosocial space where homoerotic dick gazing reaffirms and disrupts the heterosexual–homosexual binary. Our findings point to an uneven dynamic in which the majority of the posters perform a straight identity, whereas the majority of commenters perform a gay identity. Their comments serve to disrupt hegemonic masculinity and, in turn, create a space that welcomes mostly straight and bi-curious performances of masculinity. Such performances are possible due to recent cultural shift away from homo-hysteria and towards a more inclusive heteromasculinity. Collectively these performances produce an inclusive “fraternity of the cock”, but it is one which maintains a heterocentric focus and function.

Do Materialistic Adolescents Ruminate More About Their Social Media Posts?

2020 ◽  
pp. 0044118X2098417
Author(s):  
Keeley Hynes ◽  
Daniel G. Lannin ◽  
Jeremy B. Kanter ◽  
Ani Yazedjian ◽  
Margaret M. Nauta
Keyword(s):  
Mental Health ◽  
Social Media ◽  
Social Status ◽  
Mental Distress ◽  
External Validation ◽  
Value Orientation ◽  
Media Content ◽  
Over Time

Previous research suggests that ruminating on social media content is associated with greater mental distress (Yang et al., 2018). This study examined whether materialistic value orientation (MVO)—prioritizing values and goals related to consumerism, consumption, and social status—predicted social media rumination in a sample of diverse adolescents in a two-wave cross-lagged design. A cross-lagged analysis among 119 adolescents indicated that MVO at Wave 1 predicted greater social media rumination 4 months later at Wave 2, but social media rumination at Wave 1 did not predict MVO at Wave 2. Cross-lagged results suggested that MVO may lead to greater social media rumination over time for diverse adolescents. Adolescents with MVO could benefit from interventions to reduce the effects of their need for external validation and maladaptive rumination, as external validation and maladaptive rumination are linked to behaviors and thoughts that can be harmful to mental health.

Dynamics of convergence behaviour in social media crisis communication – a complexity perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Milad Mirbabaie ◽  
Stefan Stieglitz ◽  
Felix Brünker
Keyword(s):  
Social Media ◽  
Emergency Management ◽  
Crisis Communication ◽  
Design Methodology ◽  
Content Type ◽  
The Public ◽  
Analysis Techniques ◽  
Twitter Data ◽  
Convergence Behaviour ◽  
Over Time

PurposeThe purpose of this study is to investigate communication on Twitter during two unpredicted crises (the Manchester bombings and the Munich shooting) and one natural disaster (Hurricane Harvey). The study contributes to understanding the dynamics of convergence behaviour archetypes during crises.Design/methodology/approachThe authors collected Twitter data and analysed approximately 7.5 million relevant cases. The communication was examined using social network analysis techniques and manual content analysis to identify convergence behaviour archetypes (CBAs). The dynamics and development of CBAs over time in crisis communication were also investigated.FindingsThe results revealed the dynamics of influential CBAs emerging in specific stages of a crisis situation. The authors derived a conceptual visualisation of convergence behaviour in social media crisis communication and introduced the terms hidden and visible network-layer to further understanding of the complexity of crisis communication.Research limitations/implicationsThe results emphasise the importance of well-prepared emergency management agencies and support the following recommendations: (1) continuous and (2) transparent communication during the crisis event as well as (3) informing the public about central information distributors from the start of the crisis are vital.Originality/valueThe study uncovered the dynamics of crisis-affected behaviour on social media during three cases. It provides a novel perspective that broadens our understanding of complex crisis communication on social media and contributes to existing knowledge of the complexity of crisis communication as well as convergence behaviour.

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