Last week, while walking my dogs at a local park, I had an interaction that perfectly demonstrated one of the biggest challenges facing society today: too many people believe what they see on social media without questioning it.
A group of young children approached me and asked if they could pet my dogs. As any responsible dog owner should, I asked them to stop for a moment while I explained how to safely approach a dog they don’t know. I showed them how to approach slowly, one at a time, and let the dogs smell their hands first. Once my dogs were comfortable and the children understood how to interact appropriately, I allowed them to pet the dogs.
A few moments later, the children’s mother approached me. She thanked me for letting her children interact with the dogs, but admitted she was nervous. She told me that she had seen videos on TikTok claiming that dogs are dangerous, especially pit bulls, and from a distance she thought one of my dogs might be a pit bull.
I smiled and explained something that many experienced dog owners already understand: dogs are rarely the problem. More often, the issue is irresponsible ownership. A properly trained, socialized, and cared-for dog is generally predictable and safe. An untrained dog, regardless of breed, can become a problem. Blaming an entire breed because of social media videos is like blaming an entire profession because of one bad employee.
Social Media Rewards Emotion, Not Accuracy
What struck me about the conversation wasn’t that the mother was concerned for her children. Any good parent should be. What struck me was where the concern came from—not personal experience, professional training, a veterinarian, or a local dog trainer. It came from TikTok.
Modern social media platforms are designed to maximize engagement. The content that spreads fastest is often the content that triggers the strongest emotional reaction. Fear, outrage, and controversy generate clicks; nuance rarely does. A video showing a well-trained family dog gently playing with children probably won’t go viral, but a video warning that a particular breed could attack at any moment might.
The algorithm doesn’t necessarily reward accuracy. It rewards attention.
The Same Problem Exists in Technology
As someone who works in cloud computing, infrastructure, and emerging technologies, I see the exact same behavior every day. People confidently share information about artificial intelligence, cybersecurity, cloud platforms, and emerging technologies after watching a 60-second video.
Suddenly, AI is replacing every job next year. Cloud migrations always save money. Kubernetes solves every infrastructure problem. One vendor is “dead,” while another is supposedly “taking over the industry.” Reality is almost always more complicated.
Technology professionals understand that context matters. Architecture decisions depend on business requirements. Security depends on implementation. Cost savings depend on design and governance. Yet social media often reduces complex topics into simplistic claims designed to attract views. The result is misinformation disguised as expertise.
Critical Thinking Is Becoming a Competitive Advantage
The most valuable skill today may not be technical knowledge. It may be the ability to evaluate information critically.
Before accepting a claim, ask yourself:
- What is the source?
- What expertise does the source actually have?
- Is there evidence supporting the claim?
- Are there credible opposing viewpoints?
- Does the content inform me, or simply provoke an emotional reaction?
These questions apply whether you’re evaluating a TikTok video about dog breeds, a LinkedIn post about artificial intelligence, or a YouTube video predicting the future of cloud computing.
Trust Experience, Not Algorithms
The mother at the park wasn’t foolish. She was reacting to information she had consumed repeatedly through social media. That’s how misinformation works. The more often we see something, the more likely we are to believe it.
Fortunately, reality often provides a better perspective. Instead of relying on a short-form video, she watched her children safely interact with two well-behaved dogs. She observed responsible ownership, proper training, and safe handling practices firsthand. Actual experience challenged an assumption created by an algorithm.
The same pattern appears throughout the technology industry. Whether the topic is artificial intelligence, cloud computing, cybersecurity, or digital transformation, people often form strong opinions based on short social media clips rather than direct experience and evidence. The ability to separate facts from viral content is becoming one of the most valuable skills a technology leader can possess.
The Leadership Lesson
As technology leaders, we face this challenge every day. Whether the subject is artificial intelligence, cloud computing, Kubernetes, cybersecurity, or digital transformation, there is no shortage of opinions on social media. The loudest voices often make the boldest claims, but effective leaders know that good decisions are built on facts, experience, and critical evaluation—not viral posts and attention-grabbing headlines.
Successful technology leadership requires the ability to separate signal from noise. The organizations that thrive are led by people who ask questions, challenge assumptions, and verify information before acting on it. In a world increasingly influenced by algorithms, critical thinking is more than a personal skill—it’s a leadership responsibility.
The next time a social media platform tells you something is dangerous, revolutionary, broken, or guaranteed to change your life, pause for a moment. Ask questions. Look for evidence. Seek multiple viewpoints.
And remember: whether we’re talking about dogs, artificial intelligence, cloud computing, or leadership, the loudest voice online isn’t always the most accurate. The algorithm doesn’t reward accuracy—it rewards attention.
Sometimes the truth is standing quietly in front of you, waiting to be discovered.
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