How we describe inequality is significant because it impacts our view of who causes it and how society should address it. Photo via Getty Images

Look closely at any news article about inequality and you will quickly notice that there is more than one way to describe what is happening.

For example:

“In 2022, men earned $1.18 for every dollar women earned.”

“In 2022, women earned 82 cents for every dollar men earned.”

“In 2022, the gender wage gap was 18 cents per dollar.”

When pointing out differences in access to resources and opportunities among groups of people, we tend to use three types of language:

  1. Advantaged — Describes an issue in terms of advantages the more dominant group enjoys.
  2. Disadvantaged — Describes an issue in terms of disadvantages the less dominant group experiences.
  3. Neutrality — Stays general enough to avoid direct comparisons between groups of people.

The difference between these three lenses, referred to as “frames” in academic literature, may be subtle. We may miss it completely when skimming a news article or listening to a friend share an opinion. But frames are more significant than we may realize.

“Frames of inequality matter because they shape our view of what is wrong and what should be fixed,” says Rice Business Professor Sora Jun.

Jun led a research team that conducted multiple studies to understand which of the three frames people typically use to describe social and economic inequality. In total, they analyzed more than 19,000 mainstream media articles and surveyed more than 600 U.S.-based participants.

In Chronic frames of social inequality: How mainstream media frame race, gender, and wealth inequality, the team published two major findings.

First, people tend to describe gender and racial inequality using the language of disadvantage. For example, “The data showed that officers pulled over Black drivers at a rate far out of proportion to their share of the driving-age population.”

Jun’s team encountered the same rhetorical tendency with gender inequality. In most cases, people describe instances of gender inequality (e.g., the gender pay gap) in terms of a disadvantage for women. We are far more likely to use the statement “Women earned 82 cents for every dollar men earned” than “Men earned $1.18 cents for every dollar women earned.”

"We expected that people would use the disadvantage framework to describe racial and gender inequalities, and it turned out to be true,” says Jun. “We think that the reason for this stems from how legitimate we perceive different hierarchies to be.” Because demographic categories like gender and race are unrelated to talent or effort, most people find it unfair that resources are distributed unevenly along these lines.

On the other hand, Jun expected people to describe wealth inequality in terms of advantage rather than disadvantage. The public typically considers this form of inequality to be more fair than racial or gender inequality. “In the U.S., there is still a widespread belief in economic mobility — that if you work hard enough, you can change the socioeconomic group you are in,” she says.

But in their second major finding, she and fellow researchers discovered that the most common frame used to describe wealth inequality was no frame at all. We find this neutrality in statements like “Disparities in education, health care and social services remain stark.”

Jun is not sure why people take a neutral approach more frequently when describing wealth inequality (speaking specifically of economic classes outside of gender and race). She suspects it has something to do with the fact that we view wealth as a fluid and continuous spectrum.

The merits of the three frames are up for debate. Using the frame of disadvantage might seem to portray issues more sympathetically, but some scholars point to potential downsides. The language of disadvantage installs the dominant group as the measuring stick for everyone else. It may also put the onus of change on the disadvantaged group while making the problem seem less relevant to the dominant group.

“When we speak about the gender gap in terms of disadvantage, and helping women earn more compared to men, we automatically assume that men are making the correct amount,” says Jun. “But maybe we should be looking at both sides of the equation.”

On the other hand, Jun cautions against using a one-size-fits-all approach to describing inequality. “We have to be careful not to jump to an easy conclusion, because the causes of inequality are so vast,” she says.

For example, men tend to interrupt conversations in team meetings at higher rates than women. “Should we frame this behavior in terms of advantage or disadvantage, which naturally leads us to prompt men to interrupt less and women to interrupt more?” asks Jun. “We really don’t know until we understand the ideal number of interruptions and why this deviation is happening. Ultimately, how we talk about inequality depends on what we want to accomplish. I hope that through this research, people will think more carefully about how they describe inequality so that they capture the full story before they act.”

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This article originally ran on Rice Business Wisdom and was based on research from Sora Jun, Rosalind M. Chow, A. Maurits van der Veen and Erik Bleich.

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3 Houston innovators who made headlines in May 2025

Innovators to Know

Editor's note: Houston innovators are making waves this month with revolutionary VC funding, big steps towards humanoid robotics, and software that is impacting the agriculture sector. Here are three Houston innovators to know right now.

Zach Ellis, founder and partner of South Loop Ventures

Zach Ellis. Photo via LinkedIn

Zach Ellis Jr., founder and general partner of South Loop Ventures, says the firm wants to address the "billion-dollar blind spot" of inequitable distribution of venture capital to underrepresented founders of color. The Houston-based firm recently closed its debut fund for more than $21 million. Learn more.

Ty Audronis, CEO and founder of Tempest Droneworx

Ty Audronis, CEO and founder of Tempest Droneworx

Ty Audronis, center. Photo via LinkedIn.

Ty Audronis and his company, Tempest Droneworx, made a splash at SXSW Interactive 2025, winning the Best Speed Pitch award at the annual festival. The company is known for it flagship product, Harbinger, a software solution that agnostically gathers data at virtually any scale and presents that data in easy-to-understand visualizations using a video game engine. Audronis says his company won based on its merits and the impact it’s making and will make on the world, beginning with agriculture. Learn more.

Nicolaus Radford, CEO of Persona AI

Nicolaus Radford, founder and CEO of Nauticus RoboticsNicolaus Radford. Image via LinkedIn

Houston-based Persona AI and CEO Nicolaus Radford continue to make steps toward deploying a rugged humanoid robot, and with that comes the expansion of its operations at Houston's Ion. Radford and company will establish a state-of-the-art development center in the prominent corner suite on the first floor of the building, with the expansion slated to begin in June. “We chose the Ion because it’s more than just a building — it’s a thriving innovation ecosystem,” Radford says. Learn more.

Houston university to launch artificial intelligence major, one of first in nation

BS in AI

Rice University announced this month that it plans to introduce a Bachelor of Science in AI in the fall 2025 semester.

The new degree program will be part of the university's department of computer science in the George R. Brown School of Engineering and Computing and is one of only a few like it in the country. It aims to focus on "responsible and interdisciplinary approaches to AI," according to a news release from the university.

“We are in a moment of rapid transformation driven by AI, and Rice is committed to preparing students not just to participate in that future but to shape it responsibly,” Amy Dittmar, the Howard R. Hughes Provost and executive vice president for academic affairs, said in the release. “This new major builds on our strengths in computing and education and is a vital part of our broader vision to lead in ethical AI and deliver real-world solutions across health, sustainability and resilient communities.”

John Greiner, an assistant teaching professor of computer science in Rice's online Master of Computer Science program, will serve as the new program's director. Vicente Ordóñez-Román, an associate professor of computer science, was also instrumental in developing and approving the new major.

Until now, Rice students could study AI through elective courses and an advanced degree. The new bachelor's degree program opens up deeper learning opportunities to undergrads by blending traditional engineering and math requirements with other courses on ethics and philosophy as they relate to AI.

“With the major, we’re really setting out a curriculum that makes sense as a whole,” Greiner said in the release. “We are not simply taking a collection of courses that have been created already and putting a new wrapper around them. We’re actually creating a brand new curriculum. Most of the required courses are brand new courses designed for this major.”

Students in the program will also benefit from resources through Rice’s growing AI ecosystem, like the Ken Kennedy Institute, which focuses on AI solutions and ethical AI. The university also opened its new AI-focused "innovation factory," Rice Nexus, earlier this year.

“We have been building expertise in artificial intelligence,” Ordóñez-Román added in the release. “There are people working here on natural language processing, information retrieval systems for machine learning, more theoretical machine learning, quantum machine learning. We have a lot of expertise in these areas, and I think we’re trying to leverage that strength we’re building.”