Are university rankings such as QS too perception-based and not objective, and how can they be made more objective? This was what I asked ChatGPT.

Beyond Objectivity: What Do Rankings Really Measure?
University rankings, particularly widely cited ones such as QS, are often presented as objective measures of institutional quality. However, a closer examination reveals that they are better understood as a reputation-influenced global visibility index rather than a pure assessment of academic excellence.
This distinction is important.
Rankings combine quantitative indicators—such as citations, faculty ratios, and internationalization—with heavily weighted perception-based measures like academic and employer reputation. In the QS system, these perception indicators alone account for a substantial portion of the total score. As a result, rankings do not simply measure performance; they measure how performance is seen and recognized globally.
A Simple Analogy: Restaurants, Food, and Fame
To make this clearer, consider the analogy of restaurants.
- Quality is how good the food actually tastes.
- Reputation is what people say about the restaurant.
- Visibility is how often the restaurant appears in guides, media, or social platforms.
A globally famous restaurant may consistently appear in rankings, attract international diners, and receive extensive reviews. However, this does not necessarily mean it serves the best food for every individual taste or context.
Similarly, a small local restaurant might serve exceptional food—perhaps even better in certain respects—but remain largely invisible due to limited exposure.
University rankings operate in much the same way. They are closer to measuring:
“How well-known and widely recognized the university is globally”
rather than:
“How good the educational and research experience actually is in all dimensions.”
The Role of Reputation: A Self-Reinforcing Advantage
Reputation plays a foundational role. It is built over time through historical achievements, influential alumni, research output, and global networks. Once established, it becomes remarkably persistent.
This creates what sociologists describe as the Matthew Effect—institutions that are already well-known continue to accumulate recognition, while lesser-known but potentially high-performing universities struggle to gain visibility.
Reputation, therefore, is not neutral. It is path-dependent and often resistant to change, even when actual performance evolves.
Visibility: The Mechanism of Recognition
Global visibility acts as the bridge between reputation and ranking outcomes.
Universities that are more visible—through publications, citations, international collaborations, and global engagement—are more likely to be recognized in surveys and metrics. Visibility is measurable, which makes it attractive for ranking systems, but it is not synonymous with quality.
A university may deliver excellent teaching or meaningful local impact yet remain underrepresented simply because it lacks global exposure. Conversely, highly visible institutions benefit from greater attention, regardless of variation in performance across disciplines or functions.
Metrics as Proxies: Useful but Imperfect
The so-called “objective” indicators in rankings are, in reality, proxies:
- Citations reflect research visibility more than real-world impact
- Faculty–student ratios suggest, but do not guarantee, teaching quality
- Internationalization signals global reach, not necessarily educational effectiveness
These metrics tend to favor certain disciplines, publication cultures, and institutional models—especially research-intensive, English-language universities.
Thus, even the quantitative components are not entirely neutral; they reinforce existing patterns of visibility.
A Self-Reinforcing System
What emerges is a feedback loop:
Reputation → Visibility → Ranking → Enhanced Reputation
This cycle explains why top-ranked universities tend to remain at the top, while upward mobility for newer or regionally focused institutions is limited. Rankings, in this sense, are not just measuring reality—they are actively shaping it.
Implications for Stakeholders
Understanding rankings as a reputation-influenced visibility index has several implications:
- For students: Rankings indicate global recognition, not necessarily the best personal or educational fit
- For universities: There may be increasing pressure to invest in visibility and branding
- For policymakers: Over-reliance on rankings may distort national education priorities
Toward More Meaningful Evaluation
If rankings are to become more objective and meaningful, several improvements are needed:
- Reduce the weight of perception-based indicators
- Incorporate direct measures of learning outcomes and graduate success
- Use field-normalized comparisons across disciplines
- Recognize institutional diversity rather than forcing a single hierarchy
- Emphasize longitudinal improvement, not just static position
More fundamentally, we may need to move away from the idea of a single “best university” toward a more nuanced question:
Best for whom, and for what purpose?
Concluding Thought
University rankings are not without value. They provide a lens on global academic visibility and influence. However, they should not be mistaken for definitive measures of quality.
Much like choosing a restaurant, the most famous option is not always the most suitable one. True quality depends on context, expectations, and purpose.
To engage with rankings critically is not to reject them—but to understand what they truly represent.
(My own opinion is that ranking have been overused by many institutions to indicate performance and quality of their institutions. The actual quality of teaching, the facilities, the teaching staff, the management systems, etc. are not measured or difficult to measure. Visibility is NOT quality as stated above. It is just a number game. Best for whom and for what purpose is the university – which varies tremendously, by culture, educational system, bureaucracy in a country, political systems, industrial and economic level of the city, state, country, and multiple variables and factors)
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