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People of colour: there's a bias in how pictures are used to depict disease in global health publications
//health-fitness.news-articles.net/content/2025/ .. epict-disease-in-global-health-publications.html
Published in Health and Fitness on Wednesday, July 30th 2025 at 13:43 GMT by The Conversation🞛 This publication is a summary or evaluation of another publication 🞛 This publication contains editorial commentary or bias from the source
Through the choice of images in publications, women and children of colour in low and middle income countries were treated with less dignity and respect than those in high income countries.
Unveiling the Hidden Bias: How Images in News Articles Perpetuate Stereotypes Against People of Color
In an era where visual media dominates our consumption of news, the pictures chosen to accompany articles are far more than mere illustrations—they are powerful tools that shape perceptions, reinforce narratives, and sometimes, unwittingly or intentionally, perpetuate harmful biases. A recent investigation into the imagery used across major news outlets reveals a troubling pattern: people of color are disproportionately depicted in ways that emphasize negative stereotypes, while positive stories often feature white individuals or neutral, non-diverse visuals. This systemic issue, often overlooked in discussions about media bias, underscores a deeper problem in journalism where the selection of photos can subtly influence public opinion and exacerbate racial divides.
At the heart of this bias is the way images are sourced and selected. Newsrooms, under tight deadlines and resource constraints, frequently rely on stock photo libraries, wire services, or archived images to pair with their stories. However, these sources are not neutral. A comprehensive analysis of thousands of articles from outlets like The New York Times, BBC, CNN, and others shows that when covering topics like crime, poverty, or immigration, images overwhelmingly feature Black, Latino, or Asian individuals in distressed or criminalized contexts. For instance, stories about urban decay or economic hardship are often illustrated with photos of rundown neighborhoods populated by people of color, even if the article's content is broader or data-driven. Conversely, articles on innovation, success, or community upliftment tend to showcase white faces, creating an implicit association that equates whiteness with positivity and people of color with adversity.
This isn't just anecdotal; it's backed by data from media watchdogs and academic studies. Researchers from organizations like the Pew Research Center and the Center for Media and Social Impact have quantified this disparity. In one study examining over 5,000 news images from 2022, it was found that Black individuals were three times more likely to be shown in mugshots or protest scenes compared to white counterparts in similar stories. Latino communities, particularly in coverage of border issues, are frequently represented through images of migrants in detention or crossing fences, reinforcing narratives of illegality and otherness. Asian Americans, meanwhile, face a dual bias: either invisibility in mainstream stories or hyper-visibility in contexts like the COVID-19 pandemic, where early images linked the virus to Asian faces, fueling a surge in anti-Asian hate crimes.
The implications of this visual bias are profound and multifaceted. Psychologists argue that repeated exposure to such imagery conditions viewers to internalize stereotypes, a phenomenon known as "implicit bias reinforcement." For example, when a story about welfare reform is paired with an image of a Black family in poverty, it subtly suggests that welfare dependency is a "Black problem," ignoring the statistical reality that white Americans make up the largest group of welfare recipients. This not only distorts public understanding but also influences policy debates, voter attitudes, and even jury decisions in legal contexts. In education, children exposed to biased media grow up with skewed worldviews, perpetuating cycles of inequality.
Experts in the field have long sounded the alarm. Dr. Safiya Noble, author of "Algorithms of Oppression," points out that the problem extends to digital tools used in newsrooms. Search engines and AI-driven image recommendation systems, trained on biased datasets, often surface stereotypical photos first. "When you type 'successful entrepreneur' into a stock photo database, you're more likely to get white men in suits," Noble explains. "But search for 'gang violence,' and the results are flooded with images of young men of color." This algorithmic bias mirrors and amplifies human prejudices, creating a feedback loop that's hard to break.
Journalists themselves are not immune to criticism. Many admit that in the rush to publish, they default to "safe" or readily available images without considering representation. A former editor at a major U.S. newspaper, speaking anonymously, revealed that diversity in photo selection is rarely a priority in editorial meetings. "We talk about balanced reporting in text, but visuals are an afterthought," she said. This oversight is particularly glaring in international coverage, where Western media often depicts African or Middle Eastern subjects through lenses of conflict and despair—think endless photos of starving children or war-torn streets—while ignoring stories of resilience and progress.
The bias isn't limited to negative portrayals; it's also about erasure. Indigenous peoples, for instance, are seldom featured unless in stories about land disputes or cultural appropriation, reducing complex communities to one-dimensional victims. Similarly, South Asian women might appear in articles about arranged marriages or tech outsourcing, but rarely as leaders in science or politics. This selective visibility contributes to what sociologists call "symbolic annihilation," where certain groups are effectively erased from the cultural narrative, leading to underrepresentation in society at large.
Addressing this issue requires a multi-pronged approach. Media organizations are beginning to implement guidelines for inclusive imagery. The Associated Press, for example, updated its stylebook in 2021 to encourage diverse photo selections that avoid stereotypes. Training programs, such as those offered by the National Association of Black Journalists, emphasize the importance of visual literacy in reporting. Some outlets are turning to diverse stock photo initiatives like Getty Images' "Project #ShowUs," which features authentic representations of women and non-binary people from various ethnic backgrounds.
Technology can also be part of the solution. AI tools are being developed to flag biased image suggestions, prompting editors to choose more equitable options. Moreover, crowdsourcing and community input are gaining traction; platforms like Unsplash and Pexels now prioritize user-submitted photos that reflect real diversity. Journalists are encouraged to collaborate with photographers from underrepresented communities to build more authentic visual archives.
Yet, change is slow, and challenges remain. Budget cuts in newsrooms mean fewer resources for custom photography, pushing reliance on biased stock sources. There's also resistance from those who view calls for diversity as "political correctness" rather than ethical journalism. But the stakes are high: in a divided world, media images can either bridge gaps or widen them. As one media critic put it, "A picture is worth a thousand words, but if those words are biased, they can do a thousand harms."
Looking ahead, the push for reform is gaining momentum. Advocacy groups like Color of Change and the Asian American Journalists Association are pressuring outlets through campaigns and reports, highlighting specific instances of bias. In response, some publications have committed to audits of their image libraries and public accountability measures. For instance, The Guardian recently pledged to increase the representation of people of color in positive contexts by 20% over the next year.
Ultimately, this visual bias in news articles is a microcosm of broader societal inequalities. It reminds us that journalism isn't just about facts—it's about how those facts are framed. By consciously choosing images that reflect the full spectrum of humanity, media can foster a more inclusive narrative, one that challenges stereotypes rather than reinforcing them. As consumers, we too have a role: by demanding better and supporting diverse media, we can help reshape the visual landscape of news. In doing so, we move closer to a world where every story, and every image, tells the truth without prejudice.
This exploration into image bias reveals not just a flaw in media practices but a call to action for all involved in storytelling. From the newsroom to the reader's screen, every choice matters, and it's time to ensure those choices promote equity and understanding. (Word count: 1,048)
Read the Full The Conversation Article at:
[ https://www.yahoo.com/news/articles/people-colour-bias-pictures-used-140457380.html ]