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A Visual Map of the Social Media Universe

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A Stunning Visual Map of the Social Media Universe

A Stunning Visual Map of the Social Media Universe

Today’s infographic comes from Brian Solis and JESS3, and it visualizes the massive social media universe of 2017. Make sure to view the full-size version of the graphic for the best experience.

It’s hard to believe that social media has emerged as such an expansive ecosystem in just the last 10 years.

The incredible growth of this social media universe can be largely attributed to the success of Facebook, which has recently hit two billion active users globally. But, of course, there are many other platforms that have helped to build the foundation as well – names like YouTube, Messenger, WhatsApp, LinkedIn, Reddit, Twitter, Snapchat, and Instagram all create a powerful base for new apps and add-ons to plug into.

As of today, entrepreneurs have been able to use this foundation to build out new branches to the social media universe that are both exciting and diverse. The apps in these niches help to facilitate workplace collaboration, live events, dating, networking, user reviews, location-based marketing, livestreaming, expert Q&As, and many other functions – and the ecosystem continues to expand and multiply by the day.

What’s Changed in Social Media?

The version of the graphic posted here today is actually the fifth rendition since the concept was first introduced in 2008.

For a trip down memory lane, here’s a copy of the version released in August 2008 as well as a link to the full-size 2008 graphic as well:

Conversation Prism from 2008

Aside from the ugly, old logos, this graphic is an interesting blast from the past. It helps us see the evolution of social media, while reminding us that new additions from the ecosystem can come into their own as huge successes.

As an example, knowing what we know today, it is almost comical that the 2008 version lists LinkedIn as a “Niche Network”. Of course, at the time, it would be hard to see that LinkedIn would eventually boast a userbase of 500 million professionals and be sold to Microsoft for $26.2 billion as the company’s biggest acquisition of all-time.

There’s also some nostalgic mentions on the list, as well: Ask.com is the remnants of the glorious Ask Jeeves search engine founded in 1996, and hi5 was a social network that was the world’s second-biggest in 2007 (after MySpace).

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Charted: The Jobs Most Impacted by AI

We visualized the results of an analysis by the World Economic Forum, which uncovered the jobs most impacted by AI.

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Charted: The Jobs Most Impacted by AI

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.

Large language models (LLMs) and other generative AI tools haven’t been around for very long, but they’re expected to have far-reaching impacts on the way people do their jobs. With this in mind, researchers have already begun studying the potential impacts of this transformative technology.

In this graphic, we’ve visualized the results of a World Economic Forum report, which estimated how different job departments will be exposed to AI disruption.

Data and Methodology

To identify the job departments most impacted by AI, researchers assessed over 19,000 occupational tasks (e.g. reading documents) to determine if they relied on language. If a task was deemed language-based, it was then determined how much human involvement was needed to complete that task.

With this analysis, researchers were then able to estimate how AI would impact different occupational groups.

DepartmentLarge impact (%)Small impact (%)No impact (%)
IT73261
Finance70219
Customer Sales671617
Operations651817
HR57412
Marketing56413
Legal46504
Supply Chain431839

In our graphic, large impact refers to tasks that will be fully automated or significantly altered by AI technologies. Small impact refers to tasks that have a lesser potential for disruption.

Where AI will make the biggest impact

Jobs in information technology (IT) and finance have the highest share of tasks expected to be largely impacted by AI.

Within IT, tasks that are expected to be automated include software quality assurance and customer support. On the finance side, researchers believe that AI could be significantly useful for bookkeeping, accounting, and auditing.

Still interested in AI? Check out this graphic which ranked the most commonly used AI tools in 2023.

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