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Authored by Senator Damares Alves and six other senators, Bill 2.470/2026 amends the Betting Law, which regulates fixed-odds betting, with measures aimed at protecting mental health, consumers, and the family economy. The bill received a favourable opinion, in the form of a substitute from Senator Alessandro Vieira.
“This is a non-partisan initiative. It stems from society’s current understanding of the extent of the damage caused by so-called betting,” the rapporteur stated.
On Tuesday, the CCT held a public hearing to discuss the project. Government and betting sector representatives participated in the debate and presented divergent positions on the proposed measures.
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The company has also pursued partnerships outside the normal financial media. Its deals include relationships with major sports organizations and entertainment properties, signaling efforts to integrate prediction markets into mainstream content and information services.
The conclusion of the Yahoo Finance deal comes as there is more talk about the use of prediction market data in journalism. Operators such as Polymarket and rival Kalshi have touted their markets as a way to get real-time information on how likely future events are to occur.
However, some media industry observers have questioned whether trading activity can reliably stand in for broader public opinion. There are also concerns among critics over the growing links between news organizations and prediction platforms.
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The dual approach seeks not only to limit access to gambling content on smartphones but also to provide meaningful alternatives that reduce overall reliance on digital devices.
The KGCC, which operates under the prime minister’s office and oversees gambling supervision and the monitoring of illegal gambling activity, will collaborate with the Gyeonggi education office. There will be policy coordination, student protection and the exchange of educational resources and prevention experts.
The partnership also plans to analyse operational data, develop pilot programmes and construct a model for national deployment.
