This Map Compares the Population of the Real World vs. Social Media
Connect with us

Technology

This Map Compares the Population of the Real World vs. Social Media

Published

on

Explore the high resolution version of this graphic
This Map Compares the Population of the Real World vs. Social Media

This Map Compares the Population of the Real World vs. Social Media

View the high resolution version of today’s graphic by clicking here.

When you log on to Twitter or LinkedIn, it feels like you are connected to everyone on Earth.

Whether you want to get a taste of culture from other continents, or you want to stay on top of the latest opportunities and events in far flung places – social media allows you to connect with anyone with similar interests, no matter where they are located.

But how representative is the social media world of the real population, exactly? Today’s infographic from Raconteur breaks it all down.

Quantifying the Social World

There are roughly 2.8 billion social media users in the world – a penetration of about 37%, according to a recent report by Hootsuite.

RegionSocial Media PopulationActual Population% Penetration
Asia-Pacific1.51 billion4.15 billion36%
Americas0.60 billion1.01 billion60%
Europe0.41 billion0.84 billion49%
Africa0.17 billion1.23 billion14%
Middle East0.09 billion0.25 billion38%
Global2.79 billion7.48 billion37%

While there are not many surprises here, things get more interesting as we dive deeper into the data.

Specifically, as we break down Asia-Pacific’s massive population and level of social media penetration, you’ll see that sub-regions have attributes that are quite different.

 % of Global Social Media Users% of Actual PopulationDifference
North America8%5%+3%
Central America4%3%+1%
South America9%6%+3%
West Europe8%6%+2%
Middle East3%3%-
Africa6%16%-10%
East Europe7%6%+1%
Central Asia<1%1%-
South Asia9%24%-15%
East Asia33%22%+11%
Southest Asia11%9%+2%
Oceania1%1%-

The regions with plus numbers (i.e. North America, +3%) have a higher proportion of social media users relative to their actual population. The areas with negative numbers (i.e. Africa, -10%) have less people on social media than one would guess from their total population. These latter areas are also where social media will likely encounter the most growth in users in the near future.

The different sub-regions in Asia are particularly interesting to look at. East Asia is the most “over-represented” population in the social media world with a +11% differential. Meanwhile, neighboring South Asia (-15%) and Southeast Asia (+2%) are two regions that don’t have nearly as many people connected through those mediums.

Subscribe to Visual Capitalist
Click for Comments

Technology

Infographic: Generative AI Explained by AI

What exactly is generative AI and how does it work? This infographic, created using generative AI tools such as Midjourney and ChatGPT, explains it all.

Published

on

Generative AI Explained by AI

After years of research, it appears that artificial intelligence (AI) is reaching a sort of tipping point, capturing the imaginations of everyone from students saving time on their essay writing to leaders at the world’s largest tech companies. Excitement is building around the possibilities that AI tools unlock, but what exactly these tools are capable of and how they work is still not widely understood.

We could write about this in detail, but given how advanced tools like ChatGPT have become, it only seems right to see what generative AI has to say about itself.

Everything in the infographic above – from illustrations and icons to the text descriptions⁠—was created using generative AI tools such as Midjourney. Everything that follows in this article was generated using ChatGPT based on specific prompts.

Without further ado, generative AI as explained by generative AI.

Generative AI: An Introduction

Generative AI refers to a category of artificial intelligence (AI) algorithms that generate new outputs based on the data they have been trained on. Unlike traditional AI systems that are designed to recognize patterns and make predictions, generative AI creates new content in the form of images, text, audio, and more.

Generative AI uses a type of deep learning called generative adversarial networks (GANs) to create new content. A GAN consists of two neural networks: a generator that creates new data and a discriminator that evaluates the data. The generator and discriminator work together, with the generator improving its outputs based on the feedback it receives from the discriminator until it generates content that is indistinguishable from real data.

Generative AI has a wide range of applications, including:

  • Images: Generative AI can create new images based on existing ones, such as creating a new portrait based on a person’s face or a new landscape based on existing scenery
  • Text: Generative AI can be used to write news articles, poetry, and even scripts. It can also be used to translate text from one language to another
  • Audio: Generative AI can generate new music tracks, sound effects, and even voice acting

Disrupting Industries

People have concerns that generative AI and automation will lead to job displacement and unemployment, as machines become capable of performing tasks that were previously done by humans. They worry that the increasing use of AI will lead to a shrinking job market, particularly in industries such as manufacturing, customer service, and data entry.

Generative AI has the potential to disrupt several industries, including:

  • Advertising: Generative AI can create new advertisements based on existing ones, making it easier for companies to reach new audiences
  • Art and Design: Generative AI can help artists and designers create new works by generating new ideas and concepts
  • Entertainment: Generative AI can create new video games, movies, and TV shows, making it easier for content creators to reach new audiences

Overall, while there are valid concerns about the impact of AI on the job market, there are also many potential benefits that could positively impact workers and the economy.

In the short term, generative AI tools can have positive impacts on the job market as well. For example, AI can automate repetitive and time-consuming tasks, and help humans make faster and more informed decisions by processing and analyzing large amounts of data. AI tools can free up time for humans to focus on more creative and value-adding work.

How This Article Was Created

This article was created using a language model AI trained by OpenAI. The AI was trained on a large dataset of text and was able to generate a new article based on the prompt given. In simple terms, the AI was fed information about what to write about and then generated the article based on that information.

In conclusion, generative AI is a powerful tool that has the potential to revolutionize several industries. With its ability to create new content based on existing data, generative AI has the potential to change the way we create and consume content in the future.

Continue Reading

Subscribe

Popular