Majority Of Posts Research Articles

SOCIAL MEDIA STRATEGIES FOR ORGAN DONATION IN MALAYSIA: A CONTENT ANALYSIS OF ‘DERMA ORGAN’ FACEBOOK PAGE

Abstract: Organ donation, with its low donation rate and high demands, is undoubtedly one of Malaysia's most important health-related challenges. Despite the government's extensive efforts, little has changed in terms of swaying public opinion to pledge as an organ donor. There is ever-increasing number of people needing transplantation and the organs made available is definitely less. As numerous individuals require transplants, there are obviously fewer available organs to meet the demand. The study aims to contribute towards this issue, focusing on examining the social media strategies used by the government in transmitting the organ donation information as well as persuading Malaysians to pledge as an organ donor. The study intends to make a contribution to this issue by evaluating the social media tactics the government uses to disseminate information about organ donation and encourage Malaysians to sign up as donors. Using qualitative content analysis, information was gathered from the official ‘Derma Organ’ Facebook page. The data has been evaluated and associated to the engagement rates using cognitive, affective and conative message strategies. The analysis resulted with the majority of posts used a cognitive technique, while affective strategy appears to have a greater rate of engagement. To improve the public's desire to commit as an organ donor, more emphasis should be placed on valuing emotive strategy when creating social media content. Keywords: Affective; cognitive; conative; organ donation; social media strategy.

Confronting Craniosynostosis: Maternal Concerns, Challenges, and Coping for their Children.

The study objective was to characterize shared online experiences surrounding craniosynostosis. Isolated and syndromic craniosynostosis-related consecutive posts (N = 700) made by patients and caregivers were extracted from TikTok and Instagram between 2017-2024. A cross-sectional qualitative analysis following guidelines for practical thematic analysis was performed. The majority of posts were by caregivers (96%) and by females (97%). Forty categorical subthemes from social media posts were synthesized into 4 predominant themes. Overarching thematic trends included Emotional and Psychological Support (47%), Medical Information and Treatment (27%), Family and Social Dynamics (15%), and Awareness, Education, and Advocacy (12%). Social media is used by caregivers, primarily mothers, for emotional support, processing health information, sharing experiences, raising awareness, and celebrating "cranioversaries." Male and patient perspectives were underrepresented. Physicians may use social media to gain insights, disseminate quality health information, and connect with patients.

Endometriosis Online Communities: How Machine Learning Can Help Physicians Understand What Patients Are Discussing Online

Study ObjectiveUse machine learning to characterize the content of endometriosis online community posts and comments. DesignRetrospective Descriptive Study. SettingEndometriosis online health communities (OHCs) on the platform Reddit. ParticipantsUsers of the endometriosis OHCs r/Endo and r/endometriosis. InterventionsMachine learning was used to analyze thousands of posts made to endometriosis OHCs. Content of posts and comments was interpreted using topic modeling, persona identification, and intent labeling. Measurements included baseline characteristics of users, posts, and comments to the OHCs. Machine-learning techniques; topic modeling, intent labeling, and persona identification were used to identify the most common topics of conversation, the intents behind the posts, and the subjects of people discussed in posts. System performance was assessed via accuracy at F1-score. ResultsA total of 34 715 posts and 353 162 comments responding to posts were evaluated. The topics most likely to be a subject of a post were menstruation (8%), sharing symptoms (8%), medical appointments (8%), medical story (9%), and empathy (7%). The majority of posts were written with the intent of seeking information about endometriosis (49%) or seeking the experiences of others with endometriosis (29%). Users expressed a strong preference for surgeons performing excision rather than ablation of endometriosis. ConclusionEndometriosis OHCs are mostly used to learn about symptoms of endometriosis and share one's medical experiences. Posts and comments from users highlight the need for more empathy in the clinical care of endometriosis and easier access for patients to high-quality information about endometriosis.

"Don't think of a soda": Contradictory public health messaging from a content analysis of Twitter posts about sugar-sweetened beverage taxes in California from 2015 to 2018.

To show how sugar-sweetened beverage (SSB) taxes were framed in posts on Twitter (now known as X) through text and images, we conducted a content analysis on a sample of Tweets from California users posted between January 1, 2015 and December 31, 2018 about SSB taxes in Berkeley, San Francisco, Oakland, and/or Albany, California. We evaluated posts for information sources, arguments for or against SSB tax policies, and images used. We found that posts presented a mix of messages through text and images. The majority of posts (64%) included arguments supporting SSB taxes, 28% presented a neutral position (e.g., factual information) or a mix of both pro-and anti-tax arguments, and 8% opposed. One-third of posts included an image, almost half of which appeared to be stock photos from SSB advertisements: many of these were shared by medical and public health users. Some tax supporters also reposted messages and images from opposition campaigns and added their own criticisms. By reposting opponents' anti-tax messages and images of SSBs, tax supporters may have inadvertently promoted SSBs, reinforced opposition to SSB taxes, and normalized SSBs. While advocates effectively shared pro-tax arguments, they should also ensure that accompanying images reflect the solutions they seek, not just the problem they are trying to combat.

Instagram and clear aligner therapy: A content analysis of patient perspectives

BackgroundThe popularity of clear aligner treatment (CAT) has been on the rise. Improving treatment satisfaction with CAT requires an in-depth understanding of the patient's perspectives. Nowadays, patients use social media to share authentic treatment experiences. This study aimed to explore the content of CAT-related Instagram posts before, during, and after CAT. Materials and methodsThis study used mixed quantitative and qualitative methods. A social media monitoring software, AwarioTM, was used to collect Instagram CAT-related posts over 4 weeks and categorize them as positive, negative, and neutral ones. Three investigators manually reviewed this categorization. The sentiments of posts before, during, and after treatment were compared using Chi-square tests. Qualitative analysis of post content was carried out to extract themes relevant to patient experiences. ResultsA total of 2015 posts were included in the analysis, including posts before (n=422), during (n=1503), and after (n=90) CAT. The majority of posts (90%) before CAT were positive in sentiment analysis. In contrast, there were more negative than positive posts during CAT (54.8% and 45.2% respectively). Among notable sources of negative sentiments there were pain, unfavorable esthetic appearance of attachments, and sleep difficulties. While 60% of post-treatment posts contained positive sentiments about treatment outcomes and the patient-clinician relationship, 40% were negative and focused on the length of treatment being longer than expected. ConclusionsHigh expectations among the public are prevalent before using CAT. Discrepant negative sentiments are revealed during treatment due to pain, attachments, sleep difficulties, and other factors. Patients reflect negatively on the treatment duration after the treatment is concluded. Clinicians should focus on these patient perceptions when counseling them before and during CAT.

Public perceptions of justification in the deadly police shootings of black men: a content analysis of social media posts in 2016 and 2020

The proliferation of information technologies has revolutionized how people around the world consume news. By 2021, an estimated 8.6 billion mobile subscriptions existed worldwide. In the United States, a majority (84%) of Americans access their news digitally. On social media platforms, Facebook is the most used network for obtaining news. The three major news sources in the United States, CNN, Fox News, and MSNC, have a strong presence on Facebook. The current study analyzes public comments posted on Facebook involving the deadly police shootings of four Black men (i.e., Alton Sterling, Philando Castile, Jonathan Price, Rayshard Brooks) to identify reactions at two points in time. Our work centers on public comments to these posts, not the posts themselves. Using a summative qualitative analysis, we analyzed the first 20 Facebook comments from CNN, Fox News, and MSNBC that are listed as most relevant (e.g., highest number of likes, reactions, replies) to the most recently posted news story regarding the incident. This resulted in a sample size of 223 posts. Public comments were categorized as justifying the killing, perceiving the killing as not justified, or expressing neutrality as to whether the killing was justified or not. We found that most comments, regardless of time period, did not engage in victim-blaming. Overall, the majority (N = 139 or 62%) of all comments perceived these deadly police shootings as not justified. Most (54%) posts on Fox News justified this violence, while the majority of posts on CNN or MSNBC felt the police had used excessive violence. There were more negative comments of Black men and victim-blaming after the Trump presidency (in 2020) than in 2016 (before Trump took office), which may be related to the racial rhetoric of the times.

Personal Branding pada Konten Feeds Fashion Blogger @tamaradai dan @elikaboen di Instagram

Thanks to the emergence of Instagram as a social media platform, the popularity of fashion bloggers has been increasing, and they have utilized the power of Instagram to build their personal branding based on their expertise in specific fields. By effectively building and promoting their personal branding, fashion bloggers can enhance their visibility, attract new followers, and generate higher income and engagement rates. This research aims to analyze the content of two prominent fashion bloggers, @tamaradai and @elikaboen, on Instagram. The study examined 128 photo posts obtained through sample size calculation. Hypothesis testing was conducted using quantitative descriptive statistical analysis and Pearson Chi-Square test with IBM SPSS software version 26. Data collection involved observing image-based fashion blogger content and manually coding the data using a coding book. The findings indicate that the fashion theme is the most dominant in the content feeds of both fashion bloggers, and the majority of posts do not contain hashtags or mentions of brands or other entities. The statistical analysis results demonstrate a significant relationship between certain image content categories and the external relationship category, particularly in terms of tag usage and mentions with '@'.

Patient experiences and perceptions of kidney stone surgery: what lessons can be learned from TikTok?

The aim of this study was to perform an evaluation of patient experiences and perceptions regarding kidney stone surgery on the social media platform TikTok. An increasing number of the public use social media (SoMe) as a platform to share their views regarding their experiences related to surgical treatment. Using the hashtag #kidneystonesurgery, the 100 most recent video posts as of 01.01.2024 on TikTok were included. As well as demographic data such as gender and location, thematic content was also collected. To achieve this, a previously published framework was used and adapted for application in the setting of kidney stone surgery. This was piloted on 20 sample videos to assess its feasibility before revision and establishment of the final framework. This included the following key areas: Pain, Complications, Anxiety, Recovery, Return to work, Finances, Treatment delays, Diet and Prevention and stent complaints. The majority of posts (95%) were from North America, 80% by females and the mean number of video views was 92,826 (range: 261-2,000,000). 76% of the videos discussed ureteroscopy (URS). 49% were filmed at the hospital, which was named in 9% of the videos. Top three topics discussed were: Recovery (65%), pain (62%) and stents (55%). This was followed by anxiety (39%) and complications (24%). 12% of these videos uploaded by lay people included basic medical information that was wholly incorrect. More than half of the posts (51%) were negative in tone. Treatment delays (5%) and a lack of sufficient preoperative information (4%) were also raised, that appeared to contribute to the negative reports. However, the main cause for negative tone owed to the 80% of the patients (n = 44) who discussed stents that focused their video on the pain suffered from the post operative stent. There is a high level of usership and engagement on TikTok on the subject of kidney stone surgery. The proportion of negative videos is high and much of this is related to the bothersome stent symptoms and complications. This could easily lead to misperceptions among potential patients about the true burden of such adverse events.

Analysis of social media compliance with cannabis advertising regulations: evidence from recreational dispensaries in Illinois 1-year post-legalization

BackgroundIn the USA, an increasing number of states have legalized commercial recreational cannabis markets, allowing a private industry to sell cannabis to those 21 and older at retail locations known as dispensaries. Research on tobacco and alcohol suggests this new industry will use aggressive marketing tactics to attract new users and promote greater intensity of use. Of concern is that cannabis company advertising campaigns may be appealing to youth, promote false or misleading health claims, and disproportionately target low-income and minority communities. In this study, we evaluated recreational cannabis dispensary compliance with advertising regulations on social media in the state of Illinois.MethodsPrimary data were collected from a census of recreational dispensary Facebook and Twitter business pages during the first year of recreational sales in 2020. A quantitative content analysis was conducted to systematically analyze the data; a codebook that detailed a protocol for classifying posts was developed prior to the analysis using advertising regulations outlined in the Illinois Cannabis Regulation and Tax Act. Violations of advertising regulations were organized into three categories: advertisements that may be appealing to youth (< 21 years old), advertisements that make health claims, and other advertising violations. The data were analyzed cross-sectionally and longitudinally. Additionally, differences in compliance were assessed by dispensary and neighborhood characteristics.ResultsThe results of the analysis revealed substantial and persistent non-compliance throughout the entire study period. Overall, nearly one third of posts had at least one violation and approximately one in ten posts met the criteria for appealing to youth or contained health claims. The majority of posts with health claims included health claims that were not qualifying conditions for medical cannabis access in the state of Illinois. No differences in compliance by neighborhood and dispensary characteristics were found.ConclusionsThe findings from this study suggest that systematic monitoring and enforcement is needed to ensure compliance with advertising regulations.

Patient-Reported Reasons for Antihypertensive Medication Change: A Quantitative Study Using Social Media.

Hypertension is the leading cause of heart disease in the world, and discontinuation or nonadherence of antihypertensive medication constitutes a significant global health concern. Patients with hypertension have high rates of medication nonadherence. Studies of reasons for nonadherence using traditional surveys are limited, can be expensive, and suffer from response, white-coat, and recall biases. Mining relevant posts by patients on social media is inexpensive and less impacted by the pressures and biases of formal surveys, which may provide direct insights into factors that lead to non-compliance with antihypertensive medication. This study examined medication ratings posted to WebMD, an online health forum that allows patients to post medication reviews. We used a previously developed natural language processing classifier to extract indications and reasons for changes in angiotensin receptor II blocker (ARB) and angiotensin-converting enzyme inhibitor (ACEI) treatments. After extraction, ratings were manually annotated and compared with data from the US Food and Drug administration (FDA) Adverse Events Reporting System (FAERS) public database. From a collection of 343,459 WebMD reviews, we automatically extracted 1867 posts mentioning changes in ACEIs or ARBs, and manually reviewed the 300 most recent posts regarding ACEI treatments and the 300 most recent posts regarding ARB treatments. After excluding posts that only mentioned a dose change or were a false-positive mention, 142 posts in the ARBs dataset and 187 posts in the ACEIs dataset remained. The majority of posts (97% ARBs, 91% ACEIs) indicated experiencing an adverse event as the reason for medication change. The most common adverse events reported mapped to the Medical Dictionary for Regulatory Activities were "musculoskeletal and connective tissue disorders" like muscle and joint pain for ARBs, and "respiratory, thoracic, and mediastinal disorders" like cough and shortness of breath for ACEIs. These categories also had the largest differences in percentage points, appearing more frequently on WebMD data than FDA data (p<0.001). Musculoskeletal and respiratory symptoms were the most commonly reported adverse effects in social media postings associated with drug discontinuation. Managing such symptoms is a potential target of interventions seeking to improve medication persistence.

Spinal Cord Stimulation and Related Health Information on Social Media: An Analysis of Instagram Posts.

Spinal cord stimulation (SCS) has been a well-established, effective, minimally invasive procedure for the treatment of chronic medically refractory neuropathic pain involving the limbs and trunk. Social media platforms, including Instagram, are increasingly being used for medical education and sharing patient experiences. This study aimed to investigate posts related to SCS on Instagram. This study presents a comprehensive analysis of Instagram posts utilizing the hashtags #spinalcordneuromodulation, #spinalcordstimulation, #spinalcordstimulationsurgery, #spinalcordstimulationtherapy, and #spinalcordstimulationimplant, all of which were collected on August 1, 2023. The outcomes were organized into four distinct source-based categories: posts generated by medical practitioners (both surgeons and non-surgeons); content shared by medical organizations; content created by patients; and content from indeterminate categories. The content was further classified based on its nature, encompassing educational material and reflections on patient or physician experiences. Moreover, the impact of users was evaluated in terms of their follower count and the count of posts. The search yielded a total of 4983 posts. The majority of posts were created by medical practitioners (38.53%, n = 1920). The distribution of remaining Instagram posts about SCS was as follows: medical organizations for 35% (n = 1744), patients for 24.12% (n = 1202), and indeterminate categories for 2.35% (n = 117). Among the collected posts, 348 (41.4%) originated from accounts associated with medical practitioners, 286 (34%) from medical organizations, 145 (17.2%) from patients, and 62 (7.4%) remained unspecified. The statistical analysis revealed a significant difference in follower distribution between medical practitioners and all other groups (p<0.001). Reported side effects included pain over the implant (n = 257; 88.92%), lead migration (n = 18; 6.22%), infection (n = 9; 3; 11%), and seroma (n = 5; 1.73%). When searching for posts about SCS on Instagram, one is more likely to encounter posts authored by medical practitioners that are mostly focused on educational content. Posts created by medical practitioners may be overshadowed and buried among numerous other posts created by patients. We suggest posting educational medical content with the hashtag #MedEd in an attempt to make educational content more easily accessible.

HONOUR KILLING AND GENDER-BASED DOMESTIC VIOLENCE: A CASE STUDY OF QANDEEL BALOCH

Qandeel Baloch was a prominent social media star and feminist activist from Pakistan, who was brutally murdered by her brother Mr. Waseem in the name of honour killing. The incident of Qandeel Baloch is a subject of international scrutiny as it shed light on gender disparities, entrenched cultural norms, and social pressures. Honour killing and gender-based domestic violence reflect a negative impact on the country’s image. It is very important to analyze how such events are being portrayed in the foreign press and how people have reacted and shown their feedback in terms of posts/ comments. This research work is focused to analyze the foreign press (The Guardian) online stories/news and readers' posts about the murder case of Qandeel Baloch via content analysis. The documentary selected is "Qandeel - The Guardian". Even numbered 50 posts selected based on “Top Comments” are chosen. The results showed that the majority of posts are favorable as compared to un-favorable and neutral posts. Moreover, the favorable posts pertain to parental support, women supremacy, fatherly support, complimentary support, condemnation, motherly support, and sympathetic statements. A multi-faceted approach to underpin such violence is the need of the hour to cater to honour killing issues in Pakistan which encompass legal reforms, education, awareness, and collective action campaigns at all levels of society to ensure the rights and safety of women across the nation.

A social media analysis examining new-age devices of the rhinology industry.

We analyzed social media posts on Facebook and Instagram discussing new rhinologic devices. Patient posts are a valuable source of patient perspective regarding rhinologic procedures. The majority of posts are by physicians giving information and advertising these new procedures.

‘FAKE BRACES’: A CONTENT ANALYSIS OF INSTAGRAM POSTS BY UNLICENSED PROVIDERS

“Fake braces” is a term used to describe fixed orthodontic appliances that are fitted by unlicensed providers. This trend has raised public health concerns in certain countries with marketing typically undertaken on social media. We aimed to investigate the frequency and nature of Instagram posts by fake braces providers in Malaysia. Initial screening of Instagram accounts was performed using relevant hashtags (#fakebraces, #cheapbraces). Public Instagram accounts that fulfilled the inclusion criteria were assigned a code with posts evaluated over a one-month period. Data were coded and analysed using thematic analysis. Frequency distribution was calculated using Microsoft Excel. Thirty-eight Instagram accounts were analysed. 2831 images/videos were posted, receiving 7165 likes with videos being viewed 21, 918 times. The majority of posts were related to fake braces services (36.7%), followed by non-relevant posts (29.4%) and other services (14.5%). Services were provided mainly at home (44.7%) or offered both home and door-to-door services (23.7%). Although the posts on promotions were less frequent (5.4%), the displayed prices were low (RM150 to RM500), offering additional packages and discounts. Unlicensed providers have a variety of content to engage with social media audiences. Efforts should be made to increase public awareness, directing them towards reliable information about orthodontic services.

User-generated content and influencer marketing involving e-cigarettes on social media: a scoping review and content analysis of YouTube and Instagram

BackgroundEvidence suggests that experimentation with e-cigarettes among young people is increasing. Social media is widely used by young people with user-generated content and influencer marketing particularly influential in promoting products. This paper documents a snapshot of online user-generated content and influencer marketing related to e-cigarettes on YouTube and Instagram.MethodsScoping review of relevant e-cigarette-related content on two social media platforms popular with youths, YouTube and Instagram, between June and August 2021. Content analysis was undertaken to examine text, audio, and video content, recording age restrictions, health warnings, page characteristics, and post characteristics. Narrative post content was coded using a coding frame that was developed inductively in response to emergent categories.ResultsVaping was portrayed positively on social media; of the posts analysed, 86.5% (n = 90 of 104) of Instagram posts and 66.0% (n = 64 of 97) of YouTube videos. Warnings about age restrictions and health (e.g., nicotine addiction/toxicity) did not feature in the majority of posts; 43.3% (n = 42) of YouTube videos (n = 42) contained an age warning compared to 20.2% of Instagram posts (n = 21). While 25.8% (n = 25) of YouTube videos and 21.2% of Instagram (n = 22) posts contained a health warning.ConclusionOf concern is the fact that the vast majority of YouTube and Instagram content about e-cigarettes promoted their use, and typically the content does not contain age and/or health warnings. These findings may highlight a priority for governmental policy to restrict the ability of marketers to reach youths with social media content promoting e-cigarettes.

Public Figure Vaccination Rhetoric and Vaccine Hesitancy: Retrospective Twitter Analysis.

Social media has emerged as a critical mass communication tool, with both health information and misinformation now spread widely on the web. Prior to the COVID-19 pandemic, some public figures promulgated anti-vaccine attitudes, which spread widely on social media platforms. Although anti-vaccine sentiment has pervaded social media throughout the COVID-19 pandemic, it is unclear to what extent interest in public figures is generating anti-vaccine discourse. We examined Twitter messages that included anti-vaccination hashtags and mentions of public figures to assess the connection between interest in these individuals and the possible spread of anti-vaccine messages. We used a data set of COVID-19-related Twitter posts collected from the public streaming application programming interface from March to October 2020 and filtered it for anti-vaccination hashtags "antivaxxing," "antivaxx," "antivaxxers," "antivax," "anti-vaxxer," "discredit," "undermine," "confidence," and "immune." Next, we applied the Biterm Topic model (BTM) to output topic clusters associated with the entire corpus. Topic clusters were manually screened by examining the top 10 posts most highly correlated in each of the 20 clusters, from which we identified 5 clusters most relevant to public figures and vaccination attitudes. We extracted all messages from these clusters and conducted inductive content analysis to characterize the discourse. Our keyword search yielded 118,971 Twitter posts after duplicates were removed, and subsequently, we applied BTM to parse these data into 20 clusters. After removing retweets, we manually screened the top 10 tweets associated with each cluster (200 messages) to identify clusters associated with public figures. Extraction of these clusters yielded 768 posts for inductive analysis. Most messages were either pro-vaccination (n=329, 43%) or neutral about vaccination (n=425, 55%), with only 2% (14/768) including anti-vaccination messages. Three main themes emerged: (1) anti-vaccination accusation, in which the message accused the public figure of holding anti-vaccination beliefs; (2) using "anti-vax" as an epithet; and (3) stating or implying the negative public health impact of anti-vaccination discourse. Most discussions surrounding public figures in common hashtags labelled as "anti-vax" did not reflect anti-vaccination beliefs. We observed that public figures with known anti-vaccination beliefs face scorn and ridicule on Twitter. Accusing public figures of anti-vaccination attitudes is a means of insulting and discrediting the public figure rather than discrediting vaccines. The majority of posts in our sample condemned public figures expressing anti-vax beliefs by undermining their influence, insulting them, or expressing concerns over public health ramifications. This points to a complex information ecosystem, where anti-vax sentiment may not reside in common anti-vax-related keywords or hashtags, necessitating further assessment of the influence that public figures have on this discourse.

The softening of Chinese digital propaganda: Evidence from the People's Daily Weibo account during the pandemic.

Social media infuses modern relationships with vitality and brings a series of information dissemination with subjective consciousness. Studies have indicated that official Chinese media channels are transforming their communication style from didactic hard persuasion to softened emotional management in the digital era. However, previous studies have rarely provided valid empirical evidence for the communicational transformation. The study fills the gap by providing a longitudinal time-series analysis to reveal the pattern of communication of Chinese digital Chinese official media from 2019 to 2022. The study crawler collected 43,259 posts from the People's Daily's Weibo account from 2019 to 2021. The study analyzed the textual data with using trained artificial intelligence models. This study explored the practices of the People's Daily's Weibo account from 2019 to 2021, COVID-19 is hardly normalized as it is still used as the justification for extraordinary measures in China. This study confirmed that People's Daily's Weibo account posts are undergoing softenization transformation, with the use of soft news, positive energy promotion, and the embedding of sentiment. Although the outburst of COVID-19 temporarily increased the media's use of hard news, it only occur at the initial stage of the pandemic. Emotional posts occupy a nonnegligible amount of the People's Daily Weibo content. However, the majority of posts are emotionally neutral and contribute to shaping the authoritative image of the party press. Overall, the People's Daily has softened their communication style on digital platforms and used emotional mobilization, distraction, and timely information provision to balance the political logic of building an authoritative media agency and the media logic of constructing audience relevance.

State and Federal Legislators' Responses on Social Media to the Mental Health and Burnout of Health Care Workers Throughout the COVID-19 Pandemic: Natural Language Processing and Sentiment Analysis.

Burnout and the mental health burden of the COVID-19 pandemic have disproportionately impacted health care workers. The links between state policies, federal regulations, COVID-19 case counts, strains on health care systems, and the mental health of health care workers continue to evolve. The language used by state and federal legislators in public-facing venues such as social media is important, as it impacts public opinion and behavior, and it also reflects current policy-leader opinions and planned legislation. The objective of this study was to examine legislators' social media content on Twitter and Facebook throughout the COVID-19 pandemic to thematically characterize policy makers' attitudes and perspectives related to mental health and burnout in the health care workforce. Legislators' social media posts about mental health and burnout in the health care workforce were collected from January 2020 to November 2021 using Quorum, a digital database of policy-related documents. The total number of relevant social media posts per state legislator per calendar month was calculated and compared with COVID-19 case volume. Differences between themes expressed in Democratic and Republican posts were estimated using the Pearson chi-square test. Words within social media posts most associated with each political party were determined. Machine-learning was used to evaluate naturally occurring themes in the burnout- and mental health-related social media posts. A total of 4165 social media posts (1400 tweets and 2765 Facebook posts) were generated by 2047 unique state and federal legislators and 38 government entities. The majority of posts (n=2319, 55.68%) were generated by Democrats, followed by Republicans (n=1600, 40.34%). Among both parties, the volume of burnout-related posts was greatest during the initial COVID-19 surge. However, there was significant variation in the themes expressed by the 2 major political parties. Themes most correlated with Democratic posts were (1) frontline care and burnout, (2) vaccines, (3) COVID-19 outbreaks, and (4) mental health services. Themes most correlated with Republican social media posts were (1) legislation, (2) call for local action, (3) government support, and (4) health care worker testing and mental health. State and federal legislators use social media to share opinions and thoughts on key topics, including burnout and mental health strain among health care workers. Variations in the volume of posts indicated that a focus on burnout and the mental health of the health care workforce existed early in the pandemic but has waned. Significant differences emerged in the content posted by the 2 major US political parties, underscoring how each prioritized different aspects of the crisis.

#Ophthalmology: Popular ophthalmology hashtags as an educational source for ophthalmologists, an Instagram study.

This study aims to determine the content and intent of posts published under popular ophthalmology hashtags and to determine whether these posts were educational for ophthalmologists. A web-based, cross-sectional study design was used to evaluate the top public posts of five popular hashtags on three consecutive days by two ophthalmology specialists. The first 100 relevant English posts of each hashtag were studied. Selected hashtags were #Ophthalmology, #ophthalmosurgery, #ophthalmologyresident, #ophthalmologist, and #ophthalmicphotography. Posts were classified according to the type of post, post author, post intent, and whether the post was educational. Posts deemed educational were then categorized separately using the same classification system as above to determine whether there were defining characteristics of educational posts. One thousand posts were recorded and analyzed and a total of 500 posts were included in the study. The majority of posts 79.8% (n = 399), were by medical doctors with 95% (n = 379) being ophthalmology specialists. Sixty-three percent of posts (n = 315) were deemed educational, 25% promotional (n = 127), and 12% (n = 58) were entertainment posts. Medical retina (n = 119) and anterior segment (n = 90) were the most common subspecialties explored. #ophthalmicphotography (P = 0.001) was the hashtag with the highest number of educational posts (n = 91). The least educational hashtag was #ophthalmologist with only 44% of posts (n = 44) that were deemed to be educational. One hundred percent of glaucoma posts (n = 19), 98% of cornea posts (n = 41), and 99% of medical retina posts (n = 118) were found to be educational which was significantly more educational than the other topics posted (P ≤ 0.001). Ophthalmologists are the main authors of posts in popular ophthalmology hashtags. The majority of posts were educational posts with promotional posts being the second most common intent. The authors conclude that while Instagram is a possible source of ancillary education for the visual specialty of ophthalmology, careful selection of hashtags and post authors are needed for maximum benefit.

Types and Sources of Stigma on Opioid Use Treatment and Recovery Communities on Reddit

Background: Digitally-mediated peer support may improve opioid use disorder (OUD) recovery. Our objective was to examine the types and sources of stigma that people seek support for in online OUD recovery communities (subreddits) on Reddit. Methods: We extracted all posts containing stigma keywords from three subreddits as well as a random sample that do not contain stigma keywords. We conducted deductive content analysis to confirm that the post self-described an experience of stigma and identify the type (condition, intervention) and source (provider-based, public, self, structural) of stigma. Results: Two-hundred and fifty-nine posts self-reported a stigmatizing experience. The majority of posts described an intervention stigma associated with medications for OUD. Posts discussing intervention stigma acknowledged the role of stigma in their treatment decision-making and quality of their treatment program. The most frequent sources of stigma were the public (including family members), provider-based (healthcare and pharmacy workers), structural (workplace, law enforcement, child protective services, and abstinence-based self-help groups), and self. No posts mentioned courtesy stigma. Posts sought assistance in navigating their experiences and participating in advocacy to counter stigmatized narratives. Conclusions: Our study indicates that people in online communities seek support to disclose and manage experiences of stigma on Reddit in similar ways to people in offline communities with the noted exception of an absence of discussions of courtesy stigma. Since each subreddit is a microcosm of varying needs, we suggest areas of future work for collaborative resources developed between stakeholders of these subreddits and public health that work within the preexisting Reddit social norms.