What Do We Mean by Hype?
Hype is not the same as quality, success, reputation, or even long-term popularity.
For us, hype is the intensity of attention surrounding something at a particular moment. It reflects what people are searching for, talking about, sharing, watching, reacting to, and suddenly becoming curious about.
A company can be highly successful without being hyped. A product can be excellent without being widely discussed. And something can become extremely hyped without necessarily being the best.
That distinction is at the heart of everything we do. We are not trying to determine what is best. We are trying to understand what has the most hype.
What Our Rankings Mean
Every ranking published by What Is Hype should ultimately be understood as: Our research. Our methodology. Our interpretation of what is generating the strongest hype at that moment.
It is NOT a quality ranking. It is NOT a recommendation. It is NOT a measure of which company, person, product, destination or idea is objectively better.
It is a snapshot of attention, momentum and conversation. Because sometimes the most important question is not "What is the best?" It is simply: "What is hype right now?"
Why Hype Is Difficult to Measure?
The internet does not have a single hype meter. Attention is fragmented across platforms, countries, languages, communities, search engines, news outlets, and social networks. A topic dominating TikTok may barely exist on Reddit. Something trending in the United States may mean very little in Türkiye, Japan, or Brazil.
Even the same word, brand, event, or conversation can carry completely different meanings in different cultures. This is why we do not rely on a single platform, data source, or algorithm.
Our Methodology
Our rankings are based on our own independent research methodology. We continuously observe signals across a broad range of public digital channels, including platforms such as X, Instagram, TikTok, Reddit, Facebook and YouTube, as well as news coverage, search behavior, Google search data, search engines and other publicly available signals of online attention.
These signals are brought together, compared and interpreted through our own research process.
Artificial intelligence plays an important role in this process. We use AI to process large amounts of information, identify patterns, compare signals and detect emerging conversations. But we do not believe hype can be understood by automation alone.
AI + Human Judgment
Language is contextual. Culture is contextual. Hype is contextual. A sudden increase in mentions does not always mean genuine interest. A joke, controversy, political event, meme or local cultural reference can completely change the meaning behind the numbers.
For this reason, our methodology combines AI-assisted analysis with human review and manual intervention where necessary. Our researchers evaluate context, cultural differences, anomalies and signals that machines alone may misinterpret.
The goal is not to remove human judgment from the process. It is to use technology to expand what humans are able to observe.
Consistency Matters More Than Certainty
There is no universally accepted formula for measuring hype. We do not claim that our methodology is the only way — or the definitive way — to measure it.
Instead, we aim to apply our methodology carefully, consistently and continuously. The value of our rankings comes from observing the same ecosystem repeatedly, using the same principles, and tracking how attention changes over time.
Our methodology will also continue to evolve as platforms, online behavior and the internet itself change.