Are you finding it increasingly difficult to know what to believe online? Hamish Macdonald and our panel of experts are ...

Conversations of race, identity, nationality, gender, etc. are all necessary and important discussions that need to be had in ...

Quantum computer could break Bitcoin cryptography with under 500,000 qubits in nine minutes. This will likely only be ...

Scroll through social media long enough and a pattern emerges. Pause on a post questioning climate change or taking a hard line on a political issue, and the platform is quick to respond—serving up ...

Martin Saveski, an assistant professor at UW’s Information School, collaborated on a recent study that used an AI-powered algorithm to alter users’ X feeds. In a weeklong experiment, Saveski’s ...

LINCOLN, Neb. — Most rural Nebraskans are aware of the use of algorithms in online media and have some concerns about their use, according to results from the 2025 Nebraska Rural Poll. Algorithms are ...

Landlords could no longer rely on rent-pricing software to quietly track each other's moves and push rents higher using confidential data, under a settlement between RealPage Inc. and federal ...

Sometimes, good people are forced to do bad things. In fact, the most creative tormentors I know are the ones who snap last. Perhaps it's because of their desire for justice. Or maybe it's their high ...

On this week's edition of the Hot Seat, technology analyst and former state lawmaker Collin Walke examined how Section 230 protections, social media algorithms and weak enforcement tools combine to ...

If you’ve ever shuffled a deck of playing cards, you’ve most likely created a unique deck. That is, you’re probably the only person who has ever arranged the cards in precisely that order. Although ...

A law in effect for less than two weeks is already wreaking havoc all over the internet. The United Kingdom law—called the Online Safety Act—is purportedly about protecting children. The best I can ...

Abstract: This article proposes online data-based reinforcement learning (RL) algorithm for adaptive output consensus control of heterogeneous multiagent systems (MASs) with unknown dynamics. First, ...