Social media platforms benefit not just from ensuring they have satisfied users, but also from the personal data they scoop up and can then sell to online advertisers.

The first social media platforms date back to the early 2000s, when algorithms were typically chronological, with entities like MySpace and Facebook feeding users content from the most recent posts to the oldest.

A major dopamine hit from social media use comes from unpredictability—not knowing if the content users post or share will get the 'like' from other users, triggering cycles of anticipation similar to those experienced with a slot machine.

Facebook's algorithm chooses content to display on the News Feed based on user data

It employs machine learning to prioritize posts and ads based on user interactions, content type, and post timeliness, creating a personalized, engaging experience for each user.

Ads follow you around the internet through technology called 'cookies.'

A technology called "cookies" enables advertisers to essentially team up and follow your behavior around on the internet. This video explains why it seems like ads seem to follow you as you go from website to website—as well as data privacy advocates' war against cookies.

Social media algorithms are shaping real-life language through memes

The evolution of the internet in the early 2000s supercharged the creation and spread of memetic content. Now, highly tuned algorithms on platforms like TikTok and YouTube influence the language, phrasing, and content of creators, which shapes how we use language in the real world.

Social psychologist Jonathan Haidt, author of The Anxious Generation, contends that children are losing the ability to pay attention as they spend half their lives perusing social media content designed to hook them.

YouTube's recommendation algorithm relies on over 80 billion daily pieces of information

These signals include which videos a user has watched, searched for, and liked, as well as channel subscriptions and feedback selections, such as videos marked "not interested." Each user's viewing habits are compared with those of other users with similar habits, and this information is used to suggest additional content.

Why TikTok's algorithm is likely driven by what you linger on

While the inner workings of the engine driving the vast majority of the app's engagement remain a secret, it is understood to rely heavily on what content users spend the most time watching rather than swipe past. Experts believe the app can develop user profiles robust enough for its algorithm to consistently match engaging content to in as little as two hours.

Data privacy advocates worry that Google collects too much personal information

Politicians have also criticized whether the search engine exerts too much control over gatekeeping online information and influencing what is considered fact or fiction, deviating from its original corporate motto of "don't be evil."

As of 2026, age verification systems on online platforms have included the collection of personally identifying information, such as government IDs, and biometric age checks that rely on AI-based facial recognition.

Social media addiction, though not a clinical diagnosis, refers to the idea that infinite scroll, notifications, and algorithms override one's ability to stop using them.

The majority of Meta's revenue comes from advertising

Since introducing Facebook Ads in 2007, ads have become the main way Meta makes money and keeps the social media platforms free for users. Meta's targeted ad program allows businesses to set a maximum advertising budget and be charged only for the actual number of impressions an ad receives. In 2025, $196.175B of Meta's $200.966B annual revenue came from advertising.

How companies track you around the internet, explained

Being able to track how users behave on websites is a massive opportunity for companies to hone their products, target their ads, and more. Dozens of trackers are on the average website you visit, depending on how you deal with that site's cookie policy, and Google is the chief tracker of them all. Learn about these companies and what they are tracking with this informative blog visualization.

How political campaigns use your data

What do campaigns know about US voters, and how do they use that information to shape their strategies during elections? US political campaigns base their strategies and tactics on data collected from more than 200 million voting-age Americans. This visualization by Reuters breaks down how data firms create national databases of voter files, collecting information from a variety of sources to create detailed voter profiles and how political campaigns use that data.

Explore internet usage data, including how humans consume 1.2 billion years of content yearly

About half this time consists of content from social media platforms, where the average user spends about 18.5 hours weekly. An estimated $3.66T was spent on consumer goods by online shoppers in 2025, though nonconsumer goods, such as flights and hotel stays, greatly increase this estimate.

Here is a visualization of the creator economy as an ecosystem

From social media platforms like Instagram and TikTok, to major advertisers paying influencers to promote their brands, to the consumers watching online content, quite a few engines have to keep firing to make the creator economy run smoothly.

In defense of the advertisement economy

Advertising is frequently reviled for how it clutters up public spaces and our everyday experiences. Nonetheless, it allows for vast amounts of goods and services to be rendered free to millions of users—and gives users the option to pay with money or time and attention.

Facebook dominated US social ad spend in the first half of 2024

This data visualization shows the social media platforms where advertisers spent the most money in the first six months of 2024, with Facebook leading the pack taking home 36.3% of US social ad spend.

Understanding the causes, effects, and prevalence of algorithmic bias

Found in search engines, hiring and college admissions tools, facial recognition systems, and other software, algorithms act on the rules they are programmed with, which may be authored by individuals unaware of their own biases. Algorithms based on limited, incomplete, or inaccurate data are more likely to inherit and propagate existing biases.

As of 2025, Meta Platforms Inc. is the largest social media company in the world

Facebook alone has nearly three billion monthly active users, with advertising across Facebook, Instagram, and WhatsApp generating 97% of Meta's revenue. Messenger adds more than 650,000 users a daily.

Social media can reinforce echo chambers that amplify pre-existing sentiments

A 2023 Nature study showed that exposure to diverse content left participants with unchanged core beliefs, suggesting social media alone cannot create hateful viewpoints. However, such platforms allow rhetoric to spread widely, potentially exacerbating geopolitical tensions.

Around 87 million users were impacted by Facebook's Cambridge Analytica scandal

Cambridge Analytica, a consulting firm with Russian and conservative ties, harvested data from Facebook users through a research tool that tracked interests across social connections on Facebook. Those profiles were used for targeted ad campaigns supporting Donald Trump in 2016 and pro-Brexit ads. A whistleblower originally said the private data of more than 50 million Facebook users was compromised, but a Facebook officer later estimated the number was around 87 million. Facebook settled the class-action lawsuit over the privacy breach for $725M in 2022.

Music today is often intended to circulate on social media

Artists are increasingly using TikTok and other short form video platforms as a space to promote their music. One scholar notes this emphasis, and connect it to Taylor Swift's early use of social media to promote her own work and brand.

Meta has added video features to attract more young users to Facebook

Amid an aging userbase and competition from newer social networks like TikTok, Facebook has seen its perceived relevance and cool factor progressively decrease. The Local tab and dating features are among several efforts to counter this perception.

Watch how algorithms can be designed to train themselves and self-improve without human input, to the point where the optimized code is too complex for programmers to understand.

How the YouTube algorithm works, according to MrBeast

In this brief interview clip, the YouTube savant "MrBeast" summarizes how the YouTube algorithm—which he relies on to make his content go viral—actually works.

Viral pop artists create systems of participation, not just music

Musicologist (and Swift expert) Paula Clare Harper weighs in on the factors that make music go viral. Tracks designed for shareability that feed well into content algorithms on streaming platforms are able to grow in popularity, with traditional human gatekeepers sidelined.

Our phones can provide a dopamine hit because of our positive associations with them, which feeds into what some psychologists call social media addiction.

Balancing free speech while curbing misinformation has destroyed content moderation

Accusations of censorship and bias have led social media companies like Meta and X to scale back or abandon moderation tools—just as foreign propaganda surges. Researchers say their ability to track manipulation online has become severely limited.

Credit monitoring services may oversell the benefits of dark web monitoring

Currently, technology exists to scrape and download data from webpages, which can then be analyzed to identify a user's information. However, scrapers cannot access or remove personal data from dark websites because they are often protected by paywalls, rendering monitoring ineffective beyond reporting publicly available data breaches.

Privacy concerns in the credit scoring system

Because credit scores use a lot of personal information (such as whether or not someone makes credit card payments on time), some worry their privacy is being compromised in the data collection process.

The creator economy—which is projected to be worth as much as $480B by 2027—is a system powered by people creating online content for monetizable audiences.

Smart pricing algorithms can unintentionally work together to raise prices

Researchers have found that, through trial and error, algorithms designed to adjust prices based on market data can learn to mimic price-fixing tactics, even without explicit programming to do so. Over time, they "learn" that it is more profitable to avoid price wars and keep prices high when competitors lower prices.

Understanding 'YouTube Face,' the platform's pervasive thumbnail style

It's an image that's rampant across the web's premier video platform: open mouths, astonished eyes. It looks cheesy and cheap, yet its practitioners are some of YouTube's most popular personalities. The Ringer's Nate Rogers digs into the history of the phenomenon to learn why it's had such staying power.

Google Search trends reveal truths about society that traditional surveys miss

Studies of human behavior show that survey respondents may lie to present themselves more favorably. By studying anonymous search data, researchers have uncovered hidden racism, mental health struggles, and interest in taboo or stigmatized topics.