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Visualizing the Social Media Universe in 2018

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THe Social Media Universe

The Social Media Universe: 2018

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

Billions of people around the world grew up during the age of social media, and mankind is slowly marching toward a future where nearly everyone will be a digital native.

For the one-third of humanity that now uses a smartphone, messaging and status updates are often more natural than having a live conversation. In a world where social interactions are peppered with emojis and funneled through a front-facing camera, the platforms we use become more than mere service providers; they are the connective tissue of our society.

What services are people using to communicate?

Monthly active users (MAUs) is a metric commonly used to evaluate how many people are using a service regularly. Here are the world’s top social and messaging platforms by MAUs:

RankSocial NetworkMonthly Active Users (MAUs)
#1Facebook2.2 billion
#2YouTube1.9 billion
#3WhatsApp1.5 billion
#4Messenger1.3 billion
#5WeChat1.0 billion
#6Instagram1.0 billion
#7QQ806 million
#8Qzone563 million
#9Douyin500 million
#10Weibo411 million
#11Twitter366 million
#12Reddit330 million
#13Baidu Tieba300 million
#14LinkedIn294 million
#15Viber260 million
#16Snapchat255 million
#17Line203 million
#18Telegram200 million
#19Pinterest200 million
#20YY117 million
#21VK97 million

Let’s take a closer look at these massive platforms.

The Facebook Empire

On its own, Facebook is a behemoth, but adding in the other platforms run by Mark Zuckerberg paints a clear picture of who controls the social media in 2018.

During its growth spurt in the late aughts, Facebook emerged as the first truly global social networks, hitting one billion monthly active users and essentially popularizing the idea of social media. These days, Facebook appears to be hitting engagement and growth plateaus, but acquisitions such as Instagram and WhatsApp are fueling growth for the company, with the former accounting for over a third of revenue.

WeChat

In China, WeChat isn’t just a typical messenger app.

This “super app” – which facilitates everything from point-of-sale purchases to accessing public services – is likely the template that other social platforms around the world will emulate as they strive for more thorough integration with their users’ lives.

Because WeChat is typically also used for work, the average user spends about an hour in-app each day. That is a level of engagement most platforms can only dream of.

Reddit

The “Front Page of the Internet” has grown up.

The oft controversial message board – created in 2005 – is now worth an estimated $1.8 billion, and is contemplating an IPO in the near future. While the company does make money from advertising, a unique membership feature called Reddit Gold is helping bring in funding directly from the community.

Twitter

When people have something to say publicly or look to debate big issues in the news cycle, more often than not, they use Twitter. Tweets from world leaders and CEOs can have far-reaching consequences, and hashtagged social movements have united more people than ever to affect change. For better or worse, Twitter fills an important role in modern society.

Unfortunately for Twitter, great responsibility has translated into greater scrutiny rather than strong revenue growth. The company has faced high profile controversies over harassment, bots, and fake news, and has struggled to match the sky-high growth expectations set when the “microblogging” platform went public in 2013. Twitter is still experimenting with new ways to monetize its 300+ million active user base.

SnapChat

In 2015, Snapchat, having already thoroughly conquered the under-18 market, looked set to disrupt the social media landscape. What came next was a tragedy in two acts.

First, Instagram released its Story feature that same year, effectively cloning Snapchat’s features and layout within their app. Many users, who had only recently began using novel new platform, flocked back to Instagram where they already had a developed following.

Secondly, a redesign of the Snapchat interface was widely criticized by high profile users, speeding up an exodus to Instagram.

Snapchat, which has since gone public, still has a quarter of billion MAUs, but questions remain about whether the platform can recapture the magic of their earlier years.

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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 infogramtion 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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