When the Algorithm becomes the doctor

The public health cost of Medical Social media

It starts innocently enough.

A university student scrolling through TikTok late at night comes across a video claiming that acne can be cured with a homemade mixture found in every kitchen. A few swipes later, Instagram Reels suggests a “natural” remedy that supposedly reverses diabetes. On Facebook Reels, a fitness influencer promotes supplements promising rapid weight loss without exercise. None of the creators appear to have medical qualifications, yet their videos have accumulated hundreds of thousands of views.

For many Pakistanis, this is no longer unusual. In fact, it has become part of everyday life.

The rise of TikTok, Instagram Reels, Facebook Reels, and YouTube Shorts have fundamentally changed the way people access information. What was once learned through books, healthcare professionals, or trusted institutions is now increasingly learned through algorithms. Health advice, once sought in clinics and hospitals, is now delivered through 30-second videos sandwiched between dance trends, comedy clips, and lifestyle content.

This transformation has made medical information more accessible than ever before. It has also made misinformation more dangerous than ever before.

Pakistan is home to a young and digitally connected population. Millions of people spend hours each day on social media, and short-form video platforms have become one of the primary ways information is consumed. Whether the topic is nutrition, fitness, mental health, skincare, or chronic disease management, many users now encounter health advice first on social media and only later, if at all, from healthcare professionals.

The problem is not that people are interested in learning about their health. On the contrary, increased awareness can be a positive development. The problem arises when engagement becomes more important than accuracy.

Most importantly, users themselves must develop a healthy skepticism toward what appears on their screens. A viral video may be persuasive, but popularity is not proof. A large following is not a medical degree. An algorithm does not distinguish truth from falsehood; it simply promotes what captures attention.

Social media algorithms are designed to maximize attention. They reward content that keeps users watching, liking, commenting, and sharing. As a result, sensational claims often travel further than carefully explained facts. A video promising a miracle cure will almost always attract more attention than a physician explaining why no such cure exists.

This dynamic creates an environment where misinformation can flourish.

Across social media platforms, users are routinely exposed to exaggerated claims about supplements, unverified skincare treatments, misleading nutrition advice, and so-called natural remedies for serious illnesses. Some creators discourage conventional medical treatment altogether, encouraging followers to rely on alternative therapies that lack scientific evidence.

For a country like Pakistan, where healthcare access is already uneven and self-medication is widespread, the consequences can be significant. A person who delays seeking treatment because they trust a viral video may unknowingly allow a manageable condition to worsen. Someone influenced by misleading content may misuse medications, waste money on ineffective products, or develop unrealistic expectations about their health.

The danger is not always dramatic. Often, it is subtle.

A young person struggling with body image may begin following dangerous dietary advice. A patient with diabetes may become convinced that medication is unnecessary. Parents may hesitate to vaccinate their children after encountering misleading content online. Each individual decision may seem small, but together they create a growing public health challenge.

Perhaps the most concerning aspect of this trend is the way social media blurs the line between popularity and expertise. In the digital world, follower counts often carry more weight than qualifications. A charismatic influencer with a smartphone can sometimes reach a larger audience than a hospital, a medical college, or a public health institution.

The result is a troubling reality: many people now trust algorithms to decide which health information deserves their attention.

Yet social media itself is not the enemy.

In fact, platforms such as TikTok and Instagram have also given healthcare professionals powerful tools to educate the public. Doctors, pharmacists, nutritionists, and mental health experts increasingly use short-form videos to explain medical concepts, debunk myths, and answer common questions. During health emergencies, these platforms can spread life-saving information far more quickly than traditional methods.

The issue, therefore, is not technology. The issue is accountability.

Social media companies must do more to identify and limit the spread of harmful health misinformation. Healthcare institutions should establish a stronger presence online, meeting people where they already consume information. Schools and universities should place greater emphasis on digital literacy, teaching students how to evaluate online claims and distinguish evidence from opinion.

Most importantly, users themselves must develop a healthy skepticism toward what appears on their screens. A viral video may be persuasive, but popularity is not proof. A large following is not a medical degree. An algorithm does not distinguish truth from falsehood; it simply promotes what captures attention.

The reality is that short-form video platforms are here to stay. They will continue to shape how Pakistanis learn about health, illness, fitness, and medicine. The challenge is ensuring that they become tools for education rather than vehicles for misinformation.

As social media increasingly influences health decisions, one question becomes impossible to ignore: when millions of people turn to TikTok and Reels before turning to a doctor, who is really guiding public health?

In today's digital age, the answer may be neither doctors nor hospitals.

It may be the algorithm.