Browsing by Subject "Social media"
Now showing 1 - 10 of 57
Results Per Page
Sort Options
Item A Gamified Social Media-Based Head and Neck Radiology Education Initiative of the American Society of Head and Neck Radiology: Viewership and Engagement Trends at 3 Years(American Society of Neuroradiology, 2022-12) Koontz, N. A.; Tomblinson, C. M.; Shatzkes, D. R.; Glastonbury, C. M.; Phillips, C. D.; Dean, K.; Strauss, S.; Agarwal, M.; Robson, C. D.; Wiggins, R. H.; Radiology and Imaging Sciences, School of MedicineBACKGROUND AND PURPOSE: Social media has made inroads in medical education. We report the creation and 3-year (2018–2021) longitudinal assessment of the American Society of Head and Neck Radiology Case of the Week (#ASHNRCOTW), assessing viewership, engagement, and impact of the coronavirus disease 2019 (COVID-19) pandemic on this Twitter-based education initiative. MATERIALS AND METHODS: Unknown cases were tweeted from the American Society of Head and Neck Radiology account weekly. Tweet impressions (number of times seen), engagements (number of interactions), and new followers were tabulated. A social media marketing platform identified worldwide distribution of Twitter followers. Summary and t test statistics were performed. RESULTS: #ASHNRCOTW was highly visible with 2,082,280 impressions and 203,137 engagements. There were significantly greater mean case impressions (9917 versus 6346), mean case engagements (1305 versus 474), case engagement rates (13.06% versus 7.76%), mean answer impressions (8760 versus 5556), mean answer engagements (908 versus 436), answer engagement rates (10.38% versus 7.87%), mean total (case + answer) impressions (18,677 versus 11,912), mean total engagements (2214 versus 910), and total engagement rates (11.79% versus 7.69%) for cases published after the pandemic started (all P values < .001). There was a significant increase in monthly new followers after starting #ASHNRCOTW (mean, 134 versus 6; P < .001) and significantly increased monthly new followers after the pandemic started compared with prepandemic (mean, 178 versus 101; P = .003). The American Society of Head and Neck Radiology has 7564 Twitter followers throughout 130 countries (66% outside the United States). CONCLUSIONS: Social media affords substantial visibility, engagement, and global outreach for radiology education. #ASHNRCOTW viewership and engagement increased significantly during the COVID-19 pandemic.Item A Typology of Social Media Use by Human Service Nonprofits: Mixed Methods Study(JMIR, 2024-05-08) Xue, Jia; Shier, Michael L.; Chen, Junxiang; Wang, Yirun; Zheng, Chengda; Chen, Chen; Biostatistics and Health Data Science, Richard M. Fairbanks School of Public HealthBackground: Nonprofit organizations are increasingly using social media to improve their communication strategies with the broader population. However, within the domain of human service nonprofits, there is hesitancy to fully use social media tools, and there is limited scope among organizational personnel in applying their potential beyond self-promotion and service advertisement. There is a pressing need for greater conceptual clarity to support education and training on the varied reasons for using social media to increase organizational outcomes. Objective: This study leverages the potential of Twitter (subsequently rebranded as X [X Corp]) to examine the online communication content within a sample (n=133) of nonprofit sexual assault (SA) centers in Canada. To achieve this, we developed a typology using a qualitative and supervised machine learning model for the automatic classification of tweets posted by these centers. Methods: Using a mixed methods approach that combines machine learning and qualitative analysis, we manually coded 10,809 tweets from 133 SA centers in Canada, spanning the period from March 2009 to March 2023. These manually labeled tweets were used as the training data set for the supervised machine learning process, which allowed us to classify 286,551 organizational tweets. The classification model based on supervised machine learning yielded satisfactory results, prompting the use of unsupervised machine learning to classify the topics within each thematic category and identify latent topics. The qualitative thematic analysis, in combination with topic modeling, provided a contextual understanding of each theme. Sentiment analysis was conducted to reveal the emotions conveyed in the tweets. We conducted validation of the model with 2 independent data sets. Results: Manual annotation of 10,809 tweets identified seven thematic categories: (1) community engagement, (2) organization administration, (3) public awareness, (4) political advocacy, (5) support for others, (6) partnerships, and (7) appreciation. Organization administration was the most frequent segment, and political advocacy and partnerships were the smallest segments. The supervised machine learning model achieved an accuracy of 63.4% in classifying tweets. The sentiment analysis revealed a prevalence of neutral sentiment across all categories. The emotion analysis indicated that fear was predominant, whereas joy was associated with the partnership and appreciation tweets. Topic modeling identified distinct themes within each category, providing valuable insights into the prevalent discussions surrounding SA and related issues. Conclusions: This research contributes an original theoretical model that sheds light on how human service nonprofits use social media to achieve their online organizational communication objectives across 7 thematic categories. The study advances our comprehension of social media use by nonprofits, presenting a comprehensive typology that captures the diverse communication objectives and contents of these organizations, which provide content to expand training and education for nonprofit leaders to connect and engage with the public, policy experts, other organizations, and potential service users.Item Annotating and Detecting Topics in Social Media Forum and Modelling the Annotation to Derive Directions-A Case Study(Research Square, 2021) B., Athira; Jones, Josette; Idicula, Sumam Mary; Kulanthaivel, Anand; Zhang, Enming; BioHealth Informatics, School of Informatics and ComputingThe widespread influence of social media impacts every aspect of life, including the healthcare sector. Although medics and health professionals are the final decision makers, the advice and recommendations obtained from fellow patients are significant. In this context, the present paper explores the topics of discussion posted by breast cancer patients and survivors on online forums. The study examines an online forum, Breastcancer.org, maps the discussion entries to several topics, and proposes a machine learning model based on a classification algorithm to characterize the topics. To explore the topics of breast cancer patients and survivors, approximately 1000 posts are selected and manually labeled with annotations. In contrast, millions of posts are available to build the labels. A semi-supervised learning technique is used to build the labels for the unlabeled data; hence, the large data are classified using a deep learning algorithm. The deep learning algorithm BiLSTM with BERT word embedding technique provided a better f1-score of 79.5%. This method is able to classify the following topics: medication reviews, clinician knowledge, various treatment options, seeking and providing support, diagnostic procedures, financial issues and implications for everyday life. What matters the most for the patients is coping with everyday living as well as seeking and providing emotional and informational support. The approach and findings show the potential of studying social media to provide insight into patients' experiences with cancer like critical health problems.Item Attitudes toward Adolescent HPV Vaccination after the COVID-19 Pandemic: A National Survey of Mothers(MDPI, 2024-08-28) Glauberman, Gary; Liebermann, Erica; Kornides, Melanie L.; Matsunaga, Masako; Lim, Eunjung; Zimet, Gregory; Fontenot, Holly B.; Pediatrics, School of MedicineIn the United States, vaccination rates for many routinely recommended vaccines have recovered to pre-pandemic levels, yet human papillomavirus (HPV) vaccination rates still lag pre-pandemic levels. This study sought to uncover the potential effects of the pandemic on attitudes about the HPV vaccine, and factors associated with changes in attitudes. We conducted a national survey (n = 3968) of U.S. mothers with children aged 9-17 years. Outcome variables measured changes in attitude toward the HPV vaccine following the pandemic. Two logistic regression models identified predictors of (1) those who did not have attitude changes (always negative vs. always positive), and (2) those who reported attitude changes (change to negative vs. change to positive). Attitudes toward the HPV vaccine remained unchanged in 78.9% of participants (58.1% positive, 20.8% negative). Of the 21.1% reporting changed attitudes, 9.6% changed to positive and 11.5% to negative. Those reporting changing to a negative attitude had a greater odds of reporting conservative political views, and being unsure/undecided about vaccinating their child against HPV compared to those who reported changing to a positive attitude. Targeted strategies are needed to address erosion in confidence in the HPV vaccine and other vaccines resulting from mis- and disinformation associated with the COVID-19 pandemic and future pandemics.Item Beyond Traditional Newspaper Advertisement: Leveraging Facebook-Targeted Advertisement to Recruit Long-Term Smokers for Research(JMIR Publications, 2016) Carter-Harris, Lisa; Bartlett Ellis, Rebecca J.; Warrick, Adam; Rawl, Susan; IU School of NursingBACKGROUND: Smokers are a stigmatized population, but an important population to reach for the purpose of research. Therefore, innovative recruitment methods are needed that are both cost-effective and efficacious in recruiting this population. OBJECTIVE: The aim of the present article was to evaluate the feasibility of Facebook-targeted advertisement to recruit long-term smokers eligible for lung cancer screening for a descriptive, cross-sectional survey. METHODS: A social media recruitment campaign was launched using Facebook-targeted advertisement to target age and keywords related to tobacco smoking in the Facebook users profile, interests, and likes. A 3-day newspaper advertisement recruitment campaign was used as a comparison. The study that used both recruitment methods aimed to test the psychometric properties of 4 newly developed lung cancer screening health belief scales. Data were collected via cross-sectional survey methodology using an Web-based survey platform. RESULTS: The Facebook-targeted advertisements were viewed 56,621 times over an 18-day campaign in 2015 in the United States. The advertisement campaign yielded 1121 unique clicks to the Web-based survey platform at a cost of $1.51 per completed survey. Of those who clicked through to the study survey platform, 423 (37.7%) consented to participate; 92 (8.2%) dropped out during completion of the survey yielding a final study pool of 331 completed surveys. Recruitment by newspaper advertisement yielded a total of 30 participants in response to a 3-day advertisement campaign; recruitment efficacy resulted in 10 participants/day at $40.80 per completed survey. Participants represented current (n=182; 51%) and former smokers (n=178; 49%) with a mean age of 63.4 years (SD 6.0). Cost of the advertisement campaign was $500 total for the 18-day campaign. CONCLUSIONS: Recruitment by Facebook was more efficacious and cost-effective compared with newspaper advertisement. Facebook offers a new venue for recruitment into research studies that offer the potential for wider reach at a lower cost while providing privacy and flexibility for potential study participants. The study's findings extend recent work of other researchers who have demonstrated Facebook's utility with younger smokers, and Facebook is an effective tool to recruit older smokers. Furthermore, Facebook is a cost-effective alternative to traditional newspaper advertisement offering a new, affordable venue to recruit large numbers of older smokers efficiently.Item Broad perspectives in understanding vaccine hesitancy and vaccine confidence: an introduction to the special issue(Springer Nature, 2023) Baldwin, Austin S.; Tiro, Jasmin A.; Zimet, Gregory D.; Pediatrics, School of MedicineThe World Health Organization has designated vaccine hesitancy and vaccine confidence among the most pressing issues in global health. The COVID-19 pandemic has made vaccine hesitancy and vaccine confidence particularly salient and urgent. The purpose of this special issue is to highlight a broad range of perspectives on these critical issues. We have included a total of 30 papers that address issues related to vaccine hesitancy and vaccine confidence across multiple levels of the Socio-Ecological Model. We have organized the empirical papers into the following sections: individual-level beliefs, minority health and health disparities, social media and conspiracy beliefs, and interventions. In addition to the empirical papers, three commentaries are included in this special issue.Item Case Delays and Insufficient Client Communications(2015) Hook, Sara Anne; Faklaris, CoriReal-life legal practice doesn't fit neatly into the bounds of legal ethics that we all learned in law school. There are always questions and pitfalls that you'll need to figure out to make certain you're in compliance today. This seminar compiles the toughest current challenges attorneys face in protecting their professional reputations. Our experienced attorney faculty will help you get the tools you need to do the right thing without fear of disciplinary action or litigation. •Clarify allowable and prohibited conduct in social media. •Discover and avoid hidden conflicts of interest. •Find out how to properly handle case delays. •Prepare for the ethical challenges a virtual law office presents. •Protect client confidentiality in online communications and in data storage.Item Comparing Crowdsourcing and Friendsourcing: A Social Media-Based Feasibility Study to Support Alzheimer Disease Caregivers(JMIR Publications, 2017-04-10) Bateman, Daniel Robert; Brady, Erin; Wilkerson, David A.; Yi, Eun-Hye; Karanam, Yamini; Callahan, Christopher M.; Psychiatry, School of MedicineBACKGROUND: In the United States, over 15 million informal caregivers provide unpaid care to people with Alzheimer disease (AD). Compared with others in their age group, AD caregivers have higher rates of stress, and medical and psychiatric illnesses. Psychosocial interventions improve the health of caregivers. However, constraints of time, distance, and availability inhibit the use of these services. Newer online technologies, such as social media, online groups, friendsourcing, and crowdsourcing, present alternative methods of delivering support. However, limited work has been done in this area with caregivers. OBJECTIVE: The primary aims of this study were to determine (1) the feasibility of innovating peer support group work delivered through social media with friendsourcing, (2) whether the intervention provides an acceptable method for AD caregivers to obtain support, and (3) whether caregiver outcomes were affected by the intervention. A Facebook app provided support to AD caregivers through collecting friendsourced answers to caregiver questions from participants' social networks. The study's secondary aim was to descriptively compare friendsourced answers versus crowdsourced answers. METHODS: We recruited AD caregivers online to participate in a 6-week-long asynchronous, online, closed group on Facebook, where caregivers received support through moderator prompts, group member interactions, and friendsourced answers to caregiver questions. We surveyed and interviewed participants before and after the online group to assess their needs, views on technology, and experience with the intervention. Caregiver questions were pushed automatically to the participants' Facebook News Feed, allowing participants' Facebook friends to see and post answers to the caregiver questions (Friendsourced answers). Of these caregiver questions, 2 were pushed to crowdsource workers through the Amazon Mechanical Turk platform. We descriptively compared characteristics of these crowdsourced answers with the friendsourced answers. RESULTS: In total, 6 AD caregivers completed the initial online survey and semistructured telephone interview. Of these, 4 AD caregivers agreed to participate in the online Facebook closed group activity portion of the study. Friendsourcing and crowdsourcing answers to caregiver questions had similar rates of acceptability as rated by content experts: 90% (27/30) and 100% (45/45), respectively. Rates of emotional support and informational support for both groups of answers appeared to trend with the type of support emphasized in the caregiver question (emotional vs informational support question). Friendsourced answers included more shared experiences (20/30, 67%) than did crowdsourced answers (4/45, 9%). CONCLUSIONS: We found an asynchronous, online, closed group on Facebook to be generally acceptable as a means to deliver support to caregivers of people with AD. This pilot is too small to make judgments on effectiveness; however, results trended toward an improvement in caregivers' self-efficacy, sense of support, and perceived stress, but these results were not statistically significant. Both friendsourced and crowdsourced answers may be an acceptable way to provide informational and emotional support to caregivers of people with AD.Item Comparing the Digital Footprint of Pulmonary and Critical Care Conferences on Twitter(American Thoracic Society, 2021-09-13) Carroll, Christopher L.; Kaul, Viren; Dangayach, Neha S.; Szakmany, Tamas; Winter, Gretchen; Khateeb, Dina; Carlos, W. Graham; Kudchadkar, Sapna R.; Medicine, School of MedicineBackground: Pulmonary and critical care societies, including the American Thoracic Society, the American College of Chest Physicians, and the Society of Critical Care Medicine have large memberships that gather at academic conference events, attracting thousands of attendees. Objective: With the growth of social media use among pulmonary and critical care clinicians, our goal was to examine the Twitter presence and digital footprint of these three major medical society conferences. Methods: We used Symplur Signals (Symplur, LLC) to track the tweets and most active participants of the 2017-2019 annual conferences of American Thoracic Society, American College of Chest Physicians, and the Society of Critical Care Medicine. Attendance records of participants were obtained from each society. Results: During the study period, there was growth in the number of tweets, participants, and impressions for all three society conferences. Across all conferences, the amount of original content generated was less than the retweets, which comprised 50-72% of all tweets. Individuals physically attending each conference were more likely to post original content than those not in attendance (53-68% vs. 32-47%). For each society and at each meeting, clinicians made up the largest group of participants (44-60%), and most (59-82%) were physicians. A small cohort of participants was responsible for a large share of the tweets, with more than half of the participants at each conference for each society tweeting only once and only between 5-8% of participants tweeting more than 10 times. Seventy-eight individuals tweeted more than 100 times at one or more of the conferences. There was significant overlap in this group, with 32 of these individual participants tweeting more than 100 times at two or more of these conferences. Conclusion: Growth in conference digital footprints is largely due to increased activity by a small group of prolific participants that attend conferences by multiple academic societies. Original content makes up the smallest proportion of posts, suggesting that amplification of content is more prevalent than posting of original content. In a postpandemic environment, engagement of users producing original content may be even more important for medical societies.Item Developing a Social Media Strategy for a Small Non-Profit Organization: More Conversation, Less Marketing(2017-11-17) Lawler, Audra J.; Hook, Sara AnneRight Sharing of World Resources (RSWR), based in Richmond, Indiana, is a successful microfinance organization that empowers marginalized women in Kenya, India and Sierra Leone. Although established in 1967, RSWR remains a small organization compared with other NGOs and has not had the time or expertise to update its website or to take advantage of the power of social media for outreach and public relations. The first project was to complete a total redesign of RSWR’s website as well as a new branding campaign. This project is to develop and implement a social media strategy that will allow RSWR to better communicate its message to its target audiences, such as donors, volunteers and the public at large. Building on the methodology used for the website redesign project, I interviewed key players and investigated social media best practices, specifically the social media approaches of small firms and non-profit organizations. Among my findings are that an organization should have a written policy and limit the number of people who can publish social media content. A social media strategy must be dynamic and there should be at least one person dedicated to content management. Content must be fresh, sincere and purposeful, never arbitrary or perfunctory and should be consistent with RSWR’s overall branding efforts and public persona. This same methodology for developing a social media strategy could be used by nearly any small entity that has to be very judicious in how it communicates through 21st century technology.