Skip to main content
  1. Home
  2. Computing
  3. Web
  4. Legacy Archives

Facebook users only spend 10 percent of time on apps

Add as a preferred source on Google

Facebook users are spending 27 percent of their time on their Newsfeeds, and only 10 percent on applications, a new study by ComScore reports. Other activities like viewing photos (17 percent) and other people’s profiles (21 percent) accounted for significant amounts of time as well. With over 160 million members in the United States, these figures reveal interesting trends about roughly half the country’s population.

The implications have a double edge. Facebook certainly knows where and how to target their users for offers and advertisements. However the Newsfeed, or Friend Feed, is a sacred place. To have corporate messages mixed in with friend’s pictures and updates from a favorite baseball team will probably not sit well with the average user.

Recommended Videos

Also, these findings reinforce some of the skepticism around the massive valuations and investments Facebook has received: Most people simply use the site to check on their friends. That’s it. Though time spent on Facebook accounts for 90 percent of all time spent on social networks, the notion that Facebook games, pages and applications would become a “new” Internet starts to seem unfounded.

Granted, members who play Facebook games are a very dedicated user base. Zynga, the site’s biggest provider of games, disclosed that one percent of its users are responsible for 25 to 50 percent of revenue — calling them “whales,” a la casino lingo.

But that is still a fragile customer base to lean on. If only 10 percent of the general population’s time is spent on games and only one percent of that accounts for significant revenue, it’s probably time to figure out newer ways to monetize your users — even if it means tampering creatively with the Newsfeed.

Caleb Garling
Former Digital Trends Contributor
DeepSeek wants to steal Claude Code and Codex’s lunch with an AI Super Agent that does not wait around
DeepSeek’s new coding agent is tired of waiting for developers to tell it what to do
DeepSeek

The AI coding race is moving beyond chatbots that write code when developers prompt them to. DeepSeek wants its next agent to be a little more aggressive. The Chinese AI company has released a prototype called Super-Agent, an open-source coding tool that listens in on developer group chats, identifies coding problems, and suggests solutions without waiting to be called.

The move puts DeepSeek in more direct competition with Anthropic’s Claude Code and OpenAI’s Codex, two prominent names in the rapidly-growing market for AI-powered software development. The bigger goal is clear: to design AI agents to be less assistants waiting for instructions, and more members of a development team who can take initiative.

Read more
Windows 11 Insider builds bring expanded Search features and new privacy controls
Windows Search is finally doing more than helping you find that one missing file
Windows 11

Microsoft is giving Windows 11 Search a sizeable upgrade, turning it into something more useful than a place to hunt for missing files and applications. The company has announced new Insider Preview builds for the Beta and Experimental channels, bringing expanded Search capabilities alongside a new privacy policy for commercial customers.

The update is part of Microsoft's effort to make Windows Search more action-oriented. Instead of simply showing links to settings or applications, Search can now let users perform certain tasks directly from the results panel. That could mean adjusting screen brightness, changing cursor size, or even sending a text message without opening another application.

Read more
Writers are now deliberately making mistakes because, apparently, good prose looks like AI
Congratulations, AI detectors: you've made an em dash a potential crime
Representative Image

AI has managed to do something rather unexpected: it is making people afraid of sounding like themselves. As detection tools such as Pangram increasingly influence debates over whether a piece of writing was created by a human or a chatbot, authors and students are changing their language to avoid raising suspicion. That means fewer familiar writing habits, more deliberate imperfections and, in some cases, people second-guessing perfectly ordinary sentences.

A Bloomberg report has highlighted how AI detection has moved beyond catching machine-generated content. It is now influencing the way people write, even when they claim they have never used AI.

Read more