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Challenging the Continued Usefulness of Social Media Recruitment for Surveys of Hidden Populations of People Who Use Opioids
by
Li, Wenqian
, Palamar, Joseph J
, Nesoff, Elizabeth D
, Li, Qingyue
, Martins, Silvia S
in
Adult
/ Analgesics, Opioid
/ Application programming interface
/ Automation
/ Behavior
/ Behavior modification
/ Best practice
/ Cleaning
/ Compensation
/ Counting
/ Data collection
/ Data integrity
/ Demographics
/ Drug abuse
/ Drug overdose
/ Drug use
/ Drugs
/ Email
/ Evaluation
/ Female
/ Fictitious
/ Gift giving
/ Harm reduction
/ Health services
/ Heroin
/ Hidden populations
/ Humans
/ Incentives
/ Internet
/ Keywords
/ Male
/ Mass media effects
/ Medical research
/ Medicine, Experimental
/ Mental health
/ Middle Aged
/ Minority & ethnic groups
/ Narcotics
/ New York City
/ Opioid-Related Disorders - epidemiology
/ Opioids
/ Patient Selection
/ Polls & surveys
/ Recruitment
/ Social Media
/ Social networks
/ Stigma
/ Surveys
/ Surveys and Questionnaires
/ Usefulness
/ Viewpoint
2025
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Challenging the Continued Usefulness of Social Media Recruitment for Surveys of Hidden Populations of People Who Use Opioids
by
Li, Wenqian
, Palamar, Joseph J
, Nesoff, Elizabeth D
, Li, Qingyue
, Martins, Silvia S
in
Adult
/ Analgesics, Opioid
/ Application programming interface
/ Automation
/ Behavior
/ Behavior modification
/ Best practice
/ Cleaning
/ Compensation
/ Counting
/ Data collection
/ Data integrity
/ Demographics
/ Drug abuse
/ Drug overdose
/ Drug use
/ Drugs
/ Email
/ Evaluation
/ Female
/ Fictitious
/ Gift giving
/ Harm reduction
/ Health services
/ Heroin
/ Hidden populations
/ Humans
/ Incentives
/ Internet
/ Keywords
/ Male
/ Mass media effects
/ Medical research
/ Medicine, Experimental
/ Mental health
/ Middle Aged
/ Minority & ethnic groups
/ Narcotics
/ New York City
/ Opioid-Related Disorders - epidemiology
/ Opioids
/ Patient Selection
/ Polls & surveys
/ Recruitment
/ Social Media
/ Social networks
/ Stigma
/ Surveys
/ Surveys and Questionnaires
/ Usefulness
/ Viewpoint
2025
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Do you wish to request the book?
Challenging the Continued Usefulness of Social Media Recruitment for Surveys of Hidden Populations of People Who Use Opioids
by
Li, Wenqian
, Palamar, Joseph J
, Nesoff, Elizabeth D
, Li, Qingyue
, Martins, Silvia S
in
Adult
/ Analgesics, Opioid
/ Application programming interface
/ Automation
/ Behavior
/ Behavior modification
/ Best practice
/ Cleaning
/ Compensation
/ Counting
/ Data collection
/ Data integrity
/ Demographics
/ Drug abuse
/ Drug overdose
/ Drug use
/ Drugs
/ Email
/ Evaluation
/ Female
/ Fictitious
/ Gift giving
/ Harm reduction
/ Health services
/ Heroin
/ Hidden populations
/ Humans
/ Incentives
/ Internet
/ Keywords
/ Male
/ Mass media effects
/ Medical research
/ Medicine, Experimental
/ Mental health
/ Middle Aged
/ Minority & ethnic groups
/ Narcotics
/ New York City
/ Opioid-Related Disorders - epidemiology
/ Opioids
/ Patient Selection
/ Polls & surveys
/ Recruitment
/ Social Media
/ Social networks
/ Stigma
/ Surveys
/ Surveys and Questionnaires
/ Usefulness
/ Viewpoint
2025
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Challenging the Continued Usefulness of Social Media Recruitment for Surveys of Hidden Populations of People Who Use Opioids
Journal Article
Challenging the Continued Usefulness of Social Media Recruitment for Surveys of Hidden Populations of People Who Use Opioids
2025
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Overview
Historically, recruiting research participants through social media facilitated access to people who use opioids, capturing a range of drug use behaviors. The current rapidly changing online landscape, however, casts doubt on social media’s continued usefulness for study recruitment. In this viewpoint paper, we assessed social media recruitment for people who use opioids and described challenges and potential solutions for effective recruitment. As part of a study on barriers to harm reduction health services, we recruited people who use opioids in New York City to complete a REDCap (Research Electronic Data Capture; Vanderbilt University) internet-based survey using Meta (Facebook and Instagram), X (formerly known as Twitter), Reddit, and Discord. Eligible participants must have reported using opioids (heroin, prescription opioids, or fentanyl) for nonprescription purposes in the past 90 days and live or work in New York City. Data collection took place from August 2023 to November 2023. Including study purpose, compensation, and inclusion criteria caused Meta’s social media platforms and X to flag our ads as “discriminatory” and “spreading false information.” Listing incentives increased bot traffic across all platforms despite bot prevention activities (eg, reCAPTCHA and counting items in an image). We instituted a rigorous post hoc data cleaning protocol (eg, investigating duplicate IP addresses, participants reporting use of a fictitious drug, invalid ZIP codes, and improbable drug use behaviors) to identify bot submissions and repeat participants. Participants received a US$20 gift card if still deemed eligible after post hoc data inspection. There were 2560 submissions, 93.2% (n=2387) of which were determined to be from bots or malicious responders. Of these, 23.9% (n=571) showed evidence of a duplicate IP or email address, 45.9% (n=1095) reported consuming a fictitious drug, 15.8% (n=378) provided an invalid ZIP code, and 9.4% (n=225) reported improbable drug use behaviors. The majority of responses deemed legitimate (n=173) were collected from Meta (n=79, 45.7%) and Reddit (n=48, 27.8%). X’s ads were the most expensive (US $ 1.96/click) and yielded the fewest participants (3 completed surveys). Social media recruitment of hidden populations is challenging but not impossible. Rigorous data collection protocols and post hoc data inspection are necessary to ensure the validity of findings. These methods may counter previous best practices for researching stigmatized behaviors.
Publisher
Journal of Medical Internet Research,Gunther Eysenbach MD MPH, Associate Professor,JMIR Publications
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