Evaluating Bias in Social Media Research Using #Sunscreen Content on Instagram Reels
Silvija Milanovic, Chelsea Rosen, Taylor Gray

TL;DR
This study shows that using hashtags like #Sunscreen on Instagram Reels provides reliable dermatology content for research, regardless of user history.
Contribution
The study demonstrates that hashtags can be an objective and reproducible tool for social media research in dermatology.
Findings
Instagram’s hashtag-based reels show consistent dermatologic content.
User engagement history does not affect the consistency of displayed content.
Hashtags are proposed as reliable tools for dermatology social media research.
Abstract
This cross-sectional content analysis found that Instagram’s hashtag-based reels display consistent dermatologic content regardless of user engagement history, supporting the use of hashtags as an objective and reproducible tool for social media research in dermatology.
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
| Number of videos | Average views | Average likes | Average comments | Average engagement rate | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Video Creator | Biased | Unbiased | Biased | Unbiased | Biased | Unbiased | Biased | Unbiased | Biased | Unbiased |
| Dermatologist | 17 | 14 | 1,950,376 | 3,814,600 | 25,112 | 46,071 | 578 | 2899 | 1.52% | 1.58% |
| Non-dermatologist physician | 4 | 4 | 1,233,550 | 975,325 | 14,086 | 12,554 | 482 | 562 | 1.47% | 1.26% |
| Nurse practitioner | 1 | 1 | 9,200,000 | 10,400,000 | 428,000 | 480,000 | 1008 | 1087 | 4.66% | 4.63% |
| Esthetician | 1 | 8 | 67,100 | 13,938,500 | 334 | 38,620 | 63 | 361 | 0.59% | 1.25% |
| Beauty blogger | 59 | 58 | 3,047,975 | 2,166,548 | 47,610 | 51,883 | 664 | 2169 | 2.89% | 3.11% |
| Skincare company | 10 | 5 | 3,734,560 | 5,362,400 | 60,578 | 96,881 | 396 | 386 | 1.94% | 2.53% |
| Other | 9 | 11 | 2,769,867 | 3,137,000 | 75,329 | 76,686 | 811 | 859 | 13.08% | 1.99% |
| Educational | Personal experience | Business/Advertisement | Entertainment/Humor | Clinical demonstration | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Video creator | Biased | Unbiased | Biased | Unbiased | Biased | Unbiased | Biased | Unbiased | Biased | Unbiased |
| Dermatologist | 10 | 6 | 1 | 2 | 4 | 4 | 2 | 2 | 0 | 0 |
| Non-dermatologist physician | 3 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
| Nurse practitioner | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 |
| Esthetician | 0 | 2 | 0 | 3 | 0 | 2 | 1 | 0 | 0 | 1 |
| Beauty blogger | 9 | 9 | 22 | 21 | 23 | 20 | 5 | 6 | 0 | 2 |
| Skincare company | 0 | 0 | 0 | 1 | 6 | 2 | 3 | 2 | 1 | 0 |
| Other | 2 | 4 | 0 | 1 | 1 | 0 | 3 | 2 | 3 | 4 |
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Taxonomy
TopicsImpact of AI and Big Data on Business and Society · Computational and Text Analysis Methods
Introduction
Social media has become a source of medical information for the general public, with Instagram and TikTok being among the most influential apps [1-4]. In response to the increasing presence of dermatology-related content, dermatologists have been encouraged to engage in social media to decrease misinformation [1-4]. As dermatology-related content grows on social media, more research is being done to assess its quality [1]. Concerns have been raised about the reliability and reproducibility of social media research, particularly due to the personalized nature of platform algorithms [1]. A 2024 study by Druskovich and Landriscina [1] highlighted how TikTok’s content curation can introduce bias and inconsistency into dermatology research.
This study aimed to assess whether account bias affects the type of dermatologic information presented in social media videos.
Methods
Overview
We used Instagram reels rather than TikTok amid increasing scrutiny of TikTok’s data privacy practices and the potential for a national ban in the United States. We compared Instagram reels videos between two user accounts: one with a biased profile based on prior dermatology engagement, and a new account with no activity or history. The biased profile was an existing Instagram account that had engaged extensively with dermatology-related content. This account followed multiple dermatologists and dermatology organizations and had previously liked, commented on, and shared dermatology posts, thereby establishing a history of dermatology-related activity.
For each account, the first 100 reels displayed under the hashtag #sunscreen were saved to prevent future content influence, resulting in a total of 200 videos. Each video was evaluated and categorized by creator type (dermatologist, non-dermatologist physician, esthetician, beauty blogger, etc) and content type (educational, advertisement, entertainment, etc). Creators were classified as dermatologists if they were verified to be board-certified through online professional profiles, institutional websites, or board certification databases. Engagement metrics, including views, likes, and comments, were recorded. By analyzing both content and engagement metrics, we sought to determine whether Instagram’s hashtag-based video results are influenced by user history or whether they offer an objective method for dermatology social media research. Data analysis was performed using R (version 4.3.1; R Foundation for Statistical Computing) with a significance value set to P<.05.
Ethical Considerations
This study was deemed exempt from ethics approval as it did not involve human participants or identifiable private information. The research was conducted in accordance with the ethical standards outlined in the U.S. Department of Health and Human Services, Code of Federal Regulations, Title 45, Part 46 [5]. All data analyzed were publicly available and fully deidentified prior to analysis, ensuring no individual could be identified directly or indirectly.
Results
Our study found there were no statistically significant differences in the video results between the two accounts. A χ^2^ test assessing differences in content categories and creator types showed no significant variation between accounts (χ²₆ = 7.6, P = 0.3; Table 1). A Monte-Carlo chi-squared test evaluating video types similarly found no significant differences (χ²_₆_=19.9, P=0.8; Table 2). Engagement metrics for views, likes, and comments across all creator types were compared using two-sample t tests, and all P values exceeded 0.05. A paired t test comparing video engagement, calculated by adding the likes and comments and dividing by the view number, showed no difference between accounts (P=0.42; Table 1). These findings suggest that the Instagram reels hashtag system displays dermatologic content consistently and reproducibly, regardless of account history or engagement.
Discussion
These results challenge assumptions that social media research is inherently flawed due to account engagement history [1]. While Instagram curates personalized content based on user interaction, the hashtag system appears to present the same type of information regardless of account history. This has meaningful implications for research methodology, where Instagram hashtags may provide an objective tool for studying dermatologic content online, supporting more reproducible and rigorous investigations.
Our study is limited as it reflects a single time point and one hashtag on one platform. Future work should evaluate the longitudinal stability of Instagram’s algorithm, explore other hashtags, and compare results across broader time frames. Additionally, while the hashtag system offers a consistent sampling method for research, it may not fully reflect the way users typically consume content. Many users do not actively search via hashtags, and some creators, especially those with large followings, may not rely on hashtags for engagement, meaning their content may be underrepresented in hashtag-based analyses. Despite this, the hashtag system provides a practical and reproducible approach for evaluating dermatologic content for research.
As patients continue to turn to social media for skin health information, understanding how content is delivered empowers dermatologists to better counsel patients on how to navigate these platforms critically. These findings may reassure clinicians that accurate, evidence-based content has the potential to compete with less credible sources, especially when paired with effective use of tools like hashtags. Our data show that dermatologists did not receive the highest engagement rate (Table 1), highlighting the need for more dermatologists to create engaging social media content. Rather than dismissing social media as a space dominated by misinformation, dermatologists can leverage these insights to engage with patients and encourage more informed digital consumption.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1Druskovich C Landriscina A Tik Tok and dermatology: questioning the data J Drugs Dermatol Aug 12024238 e 167e 168doi 10.36849/JDD.7956 Medline 39093646 · doi ↗ · pubmed ↗
- 2Thang CJ Garate D Thang J Lipoff JB Barbieri JS Short-form medical media: a multi-platform analysis of acne treatment information in Tik Tok videos, Instagram reels, and You Tube shorts JMIR Dermatol Aug 920236 e 48140 doi 10.2196/48140 Medline 37624704 PMC 10448278 · doi ↗ · pubmed ↗
- 3Wojtara MS Use of social media for patient education in dermatology: narrative review JMIR Dermatol Apr 1420236 e 42609 doi 10.2196/42609 Medline 37632938 PMC 10335153 · doi ↗ · pubmed ↗
- 4Nigro AR Osman A Saal RC Smith RJ Information regarding dermatology as seen on the social media platform Tik Tok JMIR Dermatol 012820258 e 59597 doi 10.2196/59597 Medline 39874465 PMC 11793829 · doi ↗ · pubmed ↗
- 5U.S. department of health and human service Code of Federal Regulations, Title 45, Public Welfare, Part 46: Protection of Human Subjects UR Lhttps://www.ecfr.gov/current/title-45/subtitle-A/subchapter-A/part-46Accessed 28-10-202511686173 · pubmed ↗
