Connect with us

Technology

33 Problems With Media in One Chart

Published

on

infographic listing problems with media, including bias, sensationalism, and more

33 Problems With Media in One Chart

One of the hallmarks of democratic society is a healthy, free-flowing media ecosystem.

In times past, that media ecosystem would include various mass media outlets, from newspapers to cable TV networks. Today, the internet and social media platforms have greatly expanded the scope and reach of communication within society.

Of course, journalism plays a key role within that ecosystem. High quality journalism and the unprecedented transparency of social media keeps power structures in check—and sometimes, these forces can drive genuine societal change. Reporters bring us news from the front lines of conflict, and uncover hard truths through investigative journalism.

That said, these positive impacts are sometimes overshadowed by harmful practices and negative externalities occurring in the media ecosystem.

The graphic above is an attempt to catalog problems within the media ecosystem as a basis for discussion. Many of the problems are easy to understand once they’re identified. However, in some cases, there is an interplay between these issues that is worth digging into. Below are a few of those instances.

Editor’s note: For a full list of sources, please go to the end of this article. If we missed a problem, let us know!

Explicit Bias vs. Implicit Bias

Broadly speaking, bias in media breaks down into two types: explicit and implicit.

Publishers with explicit biases will overtly dictate the types of stories that are covered in their publications and control the framing of those stories. They usually have a political or ideological leaning, and these outlets will use narrative fallacies or false balance in an effort to push their own agenda.

Unintentional filtering or skewing of information is referred to as implicit bias, and this can manifest in a few different ways. For example, a publication may turn a blind eye to a topic or issue because it would paint an advertiser in a bad light. These are called no fly zones, and given the financial struggles of the news industry, these no fly zones are becoming increasingly treacherous territory.

Misinformation vs. Disinformation

Both of these terms imply that information being shared is not factually sound. The key difference is that misinformation is unintentional, and disinformation is deliberately created to deceive people.

Fake news stories, and concepts like deepfakes, fall into the latter category. We broke down the entire spectrum of fake news and how to spot it, in a previous infographic.

Simplify, Simplify

Mass media and social feeds are the ultimate Darwinistic scenario for ideas.

Through social media, stories are shared widely by many participants, and the most compelling framing usually wins out. More often than not, it’s the pithy, provocative posts that spread the furthest. This process strips context away from an idea, potentially warping its meaning.

Video clips shared on social platforms are a prime example of context stripping in action. An (often shocking) event occurs, and it generates a massive amount of discussion despite the complete lack of context.

This unintentionally encourages viewers to stereotype the persons in the video and bring our own preconceived ideas to the table to help fill in the gaps.

Members of the media are also looking for punchy story angles to capture attention and prove the point they’re making in an article. This can lead to cherrypicking facts and ideas. Cherrypicking is especially problematic because the facts are often correct, so they make sense at face value, however, they lack important context.

Simplified models of the world make for compelling narratives, like good-vs-evil, but situations are often far more complex than what meets the eye.

The News Media Squeeze

It’s no secret that journalism is facing lean times. Newsrooms are operating with much smaller teams and budgets, and one result is ‘churnalism’. This term refers to the practice of publishing articles directly from wire services and public relations releases.

Churnalism not only replaces more rigorous forms of reporting—but also acts as an avenue for advertising and propaganda that is harder to distinguish from the news.

The increased sense of urgency to drive revenue is causing other problems as well. High-quality content is increasingly being hidden behind paywalls.

The end result is a two-tiered system, with subscribers receiving thoughtful, high-quality news, and everyone else accessing shallow or sensationalized content. That everyone else isn’t just people with lower incomes, it also largely includes younger people. The average age of today’s paid news subscriber is 50 years old, raising questions about the future of the subscription business model.

For outlets that rely on advertising, desperate times have called for desperate measures. User experience has taken a backseat to ad impressions, with ad clutter (e.g. auto-play videos, pop-ups, and prompts) interrupting content at every turn. Meanwhile, in the background, third-party trackers are still watching your every digital move, despite all the privacy opt-in prompts.

How Can We Fix the Problems with Media?

With great influence comes great responsibility. There is no easy fix to the issues that plague news and social media. But the first step is identifying these issues, and talking about them.

The more media literate we collectively become, the better equipped we will be to reform these broken systems, and push for accuracy and transparency in the communication channels that bind society together.

Sources and further reading:

Veils of Distortion: How the News Media Warps our Minds by John Zada
Hate Inc. by Matt Taibbi
Manufacturing Consent by Edward S. Herman and Noam Chomsky
The Truth Matters: A Citizen’s Guide to Separating Facts from Lies and Stopping Fake News in its Tracks by Bruce Bartlett
Active Measures: The Secret History of Disinformation and Political Warfare by Thomas Rid
The Twittering Machine by Richard Seymour
After the Fact by Nathan Bomey
Ten Arguments for Deleting Your Social Media Accounts Right Now by Jaron Lanier
Zucked by Roger McNamee
Antisocial: Online Extremists, Techno-Utopians, and the Highjacking of the American Conversation by Andrew Marantz
Social media is broken by Sara Brown
The U.S. Media’s Problems Are Much Bigger than Fake News and Filter Bubbles by Bharat N. Anand
What’s Wrong With the News? by FAIR
Is the Media Doomed? by Politico
The Implied Truth Effect by Gordon Pennycook, Adam Bear, Evan T. Collins, David G. Rand

 

Click for Comments

Technology

Visualizing AI Patents by Country

See which countries have been granted the most AI patents each year, from 2012 to 2022.

Published

on

Visualizing AI Patents by Country

This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.

This infographic shows the number of AI-related patents granted each year from 2010 to 2022 (latest data available). These figures come from the Center for Security and Emerging Technology (CSET), accessed via Stanford University’s 2024 AI Index Report.

From this data, we can see that China first overtook the U.S. in 2013. Since then, the country has seen enormous growth in the number of AI patents granted each year.

YearChinaEU and UKU.S.RoWGlobal Total
20103071379845711,999
20115161299805812,206
20129261129506602,648
20131,035919706272,723
20141,278971,0786673,120
20151,7211101,1355393,505
20161,6211281,2987143,761
20172,4281441,4891,0755,136
20184,7411551,6741,5748,144
20199,5303223,2112,72015,783
202013,0714065,4414,45523,373
202121,9076238,2197,51938,268
202235,3151,17312,07713,69962,264

In 2022, China was granted more patents than every other country combined.

While this suggests that the country is very active in researching the field of artificial intelligence, it doesn’t necessarily mean that China is the farthest in terms of capability.

Key Facts About AI Patents

According to CSET, AI patents relate to mathematical relationships and algorithms, which are considered abstract ideas under patent law. They can also have different meaning, depending on where they are filed.

In the U.S., AI patenting is concentrated amongst large companies including IBM, Microsoft, and Google. On the other hand, AI patenting in China is more distributed across government organizations, universities, and tech firms (e.g. Tencent).

In terms of focus area, China’s patents are typically related to computer vision, a field of AI that enables computers and systems to interpret visual data and inputs. Meanwhile America’s efforts are more evenly distributed across research fields.

Learn More About AI From Visual Capitalist

If you want to see more data visualizations on artificial intelligence, check out this graphic that shows which job departments will be impacted by AI the most.

Continue Reading
Visualizing Asia's Water Dilemma

Subscribe

Popular