The sentencing process is a cornerstone of the criminal justice system, directly impacting the credibility, fairness, and effectiveness of judicial administration. An articulate and judicial approach ...

Stand with Women Act moves forward to the second round of debate. The bill would restrict access to sports, locker rooms, and bathrooms based on sex.

The chaotic process that brought the bill to fruition, and the failure of Congress to sufficiently fund the administrative ...

but Trump's top economic advisers hit the Sunday talk shows to explain the policy, saying that tariffs against electronics would be coming in the next month or two. “There was no Tariff ...

And how long will that actually last? As confusion builds, President Donald Trump says he's prepared to explain his administration's exemptions and potential for reversals soon.

Below, we break down the terminology and explain the truth behind smartwatch water resistance ratings. Here’s what you need to know whether you’re swimming, showering, or just caught in the rain.

Your Social Security checks could look a little different this month if you're one of the 3.2 million Americans affected by the recent passage of the Social Security Fairness Act. Some retired ...

Eagles midfielder Eze thought he'd put his side 3-0 up at the Etihad Stadium when he fired low into the net in the 28th minute, having initially given his side the lead with a close range effort ...

The Citizen invited Ottawa candidates from the four main parties to write a short article explaining what they will do for their local riding if elected. Some chose to participate; others did not ...

The world needs fairness, not hegemony. In today’s highly globalized world, the US tactic of using tariffs to pressure other nations will inevitably provoke widespread backlash and severely ...

The European Commission’s upcoming Digital Fairness Act will not only strengthen protections for consumers online, but also ease legal and administrative burdens for businesses, according to ...

With the rise of large language models and their extensive knowledge, we propose enhancing fairness (Fair-Gender) in PLMs by absorbing coherent, attribute-balanced, and semantically rich sentences.