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References from Pre-Exposure Prophylaxis–Related Messages Across Facebook, Instagram, and Twitter (Rebranded X): Content Analysis. Local targets link to admitted publications; unresolved targets remain external evidence.
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HIV risk and prevention outcomes in a probability-based sample of gay and bisexual men in the United States
10.1097/qai.0000000000002151 · External reference
Inequities in PrEP annualized pill-day coverage, United States, 2018-2022: a cross-sectional pharmacoequity analysis
10.1002/jia2.26459 · External reference
Equity of PrEP uptake by race, ethnicity, sex and region in the United States in the first decade of PrEP: a population-based analysis
10.1016/j.lana.2024.100738 · External reference
PrEP awareness, uptake, barriers, and correlates among adolescents assigned male at birth who have sex with males in the U.S
10.1007/s10508-019-1429-2 · External reference
PrEP awareness and perceived barriers among single young men who have sex with men
10.2174/1570162x12666140129100411 · External reference
Underutilization of pre-exposure prophylaxis services among transgender and nonbinary youth: findings from Project Moxie and TechStep
10.1089/trgh.2019.0027 · External reference
HIV pre-exposure prophylaxis use on a global scale among men who have sex with men: a systematic review and meta-analysis
10.1089/apc.2022.0198 · External reference
Geographic and individual associations with PrEP stigma: results from the RADAR cohort of diverse young men who have sex with men and transgender women
10.1007/s10461-018-2159-5 · External reference
Increasing awareness of HIV pre-exposure prophylaxis (PrEP) and willingness to use HIV PrEP among men who have sex with men: a systematic review and meta-analysis of global data
10.1002/jia2.25883 · External reference
Knowledge, attitudes, and likelihood of pre-exposure prophylaxis (PrEP) use among US women at risk of acquiring HIV
10.1089/apc.2014.0142 · External reference
Racial, ethnic, and gender disparities in awareness of preexposure prophylaxis among HIV-negative heterosexually active adults at increased risk for HIV infection - 23 urban areas, United States, 2019
10.15585/mmwr.mm7047a3 · External reference
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Sociocultural influences on attitudes towards pre-exposure prophylaxis (PrEP), history of PrEP use, and future PrEP use in HIV-vulnerable cisgender men who have sex with men across the U.S
10.1891/lgbtq-2020-0005 · External reference
Mining social media for perceptions and trends on HIV pre-exposure prophylaxis
10.3233/shti190366 · External reference
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Body perceptions and psychological well-being: a review of the impact of social media and physical measurements on self-esteem and mental health with a focus on body image satisfaction and its relationship with cultural and gender factors
10.3390/healthcare12141396 · External reference
Role of social media in shaping public risk perception during COVID-19 pandemic: a theoretical review
10.18775/ijmsba.1849-5664-5419.2014.72.1005 · External reference
Social media strategies to affect vaccine acceptance: a systematic literature review
10.1080/14760584.2021.1949292 · External reference
Estimating the influence of Twitter on pre-exposure prophylaxis use and HIV testing as a function of rates of men who have sex with men in the United States
10.1097/qad.0000000000002838 · External reference
Social media & PrEP: a systematic review of social media campaigns to increase PrEP awareness & uptake among young Black and Latinx MSM and women
10.1007/s10461-021-03287-9 · External reference
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PrEP on Twitter: information, barriers, and stigma
10.1080/10410236.2016.1140271 · External reference
Propagation of information about preexposure prophylaxis (PrEP) for HIV prevention through Twitter
10.1080/10410236.2015.1027033 · External reference
10.1109/dsaa.2016.29
10.1109/dsaa.2016.29 · External reference
Characterizing Twitter content about HIV pre-exposure prophylaxis (PrEP) for women: qualitative content analysis
10.2196/43596 · External reference
What’s trending on Twitter regarding the most recently approved oral agent for HIV pre-exposure prophylaxis (PrEP)?
10.24926/iip.v13i4.4794 · External reference
Automated image analysis of Instagram posts: implications for risk perception and communication in public health using a case study of #HIV
10.1371/journal.pone.0231155 · External reference
Pre-exposure prophylaxis (PrEP) information on Instagram: content analysis
10.2196/23876 · External reference
#PrEP4Love: an evaluation of a sex-positive HIV prevention campaign
10.2196/12822 · External reference
: success and stigma following release of the first sex-positive PrEP public health campaign
10.1080/13691058.2020.1715482 · External reference
Empowering with PrEP (E-PrEP), a peer-led social media-based intervention to facilitate HIV preexposure prophylaxis adoption among young Black and Latinx gay and bisexual men: protocol for a cluster randomized controlled trial
10.2196/11375 · External reference
PrEP4Love: the role of messaging and prevention advocacy in PrEP attitudes, perceptions, and uptake among YMSM and transgender women
10.1097/qai.0000000000002297 · External reference
10.4324/9780203838020
10.4324/9780203838020 · External reference
Toward a model of meme diffusion (MD)
10.1111/comt.12042 · External reference
10.1007/978-3-030-83010-6_2
10.1007/978-3-030-83010-6_2 · External reference
Social Media Analytics and Research Testbed (SMART): exploring spatiotemporal patterns of human dynamics with geo-targeted social media messages
10.1177/2053951716652914 · External reference
Multilevel model of meme diffusion of fracking through Twitter
10.1177/2397200917752646 · External reference
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An integrated evacuation decision support system framework with social perception analysis and dynamic population estimation
10.1016/j.ijdrr.2017.09.020 · External reference
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Skin cancer narratives on instagram: content analysis
10.2196/34940 · External reference
Dementia research on Facebook and Twitter: current practice and challenges
10.3233/jad-220525 · External reference
“Okay, we get it. You vape”: an analysis of geocoded content, context, and sentiment regarding e-cigarettes on Twitter
10.1080/10810730.2018.1493057 · External reference
Twitter communication during an outbreak of hepatitis A in San Diego, 2016-2018
10.2105/ajph.2020.305900 · External reference
Exploring the presentation of news information about the HPV vaccine: a content analysis of a representative sample of U.S. newspaper articles
10.1080/10410236.2011.556080 · External reference
A picture tells a thousand words: a content analysis of concussion-related images online
10.1016/j.ptsp.2016.03.001 · External reference
A content analysis of gambling operators’ twitter accounts at the start of the english premier league football season
10.1007/s10899-019-09879-4 · External reference
#Yoga on Instagram: understanding the nature of yoga in the online conversation and community
10.4103/ijoy.ijoy_50_18 · External reference
Pre-exposure prophylaxis YouTube videos: content evaluation
10.2196/publichealth.7733 · External reference
Readability analysis of online health information on preexposure prophylaxis (PrEP)
10.1016/j.puhe.2020.02.002 · External reference
at every size? A comparative content analysis of #curvyfit versus #curvyyoga Instagram images
10.1080/21604851.2019.1548860 · External reference
“I just trust what Google says, it’s the Bible”: exploring young, Black gay and other men who have sex with men’s evaluation of sexual health information sources in Toronto, Canada
10.3138/cjhs.2020-0026 · External reference
#Healthy selfies: exploration of health topics on Instagram
10.2196/10150 · External reference
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Reliability of multi-category rating scales
10.1016/j.jsp.2012.12.003 · External reference
A comparison of Cohen’s Kappa and Gwet’s AC1 when calculating inter-rater reliability coefficients: a study conducted with personality disorder samples
10.1186/1471-2288-13-61 · External reference
Acceptability of smartphone application-based HIV prevention among young men who have sex with men
10.1007/s10461-013-0671-1 · External reference
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Theory and model use in social marketing health interventions
10.1080/10810730.2012.688243 · External reference
Improving theory use in social marketing: the TITE four-step theory application process
10.1108/jsocm-05-2021-0117 · External reference
Helpful or harmful? Navigating the impact of social media influencers’ health advice: insights from health expert content creators
10.1186/s12889-024-21095-3 · External reference
Trump watch: confusion over COVID-19 vaccination, HIV vaccine funding withdrawn, and more
10.1136/bmj.r1145 · External reference
Measuring population health impact of the Trump administration’s withdrawal from WHO and cuts to USAID: time to start counting
10.1186/s12963-025-00376-y · External reference
