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“ARGN was created because problem gambling is becoming a bigger issue across Africa and most responsible gambling efforts still happen within individual countries,” Akolade tells iGB. “While many organisations are doing great work, there has been limited opportunity to learn from each other, share research, or work together on common challenges.

“We felt there was a gap for a continent-wide network that could connect organisations, encourage collaboration, and help build a stronger collective voice on player protection. ARGN is not here to replace national organisations or regulators. Its purpose is to support and strengthen the work already being done by bringing people and organisations together.”

But while the ARGN intends to enhance collaboration between stakeholders across the continent, Akolade asserts the aim is to promote “common principles rather than identical regulations”.

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Prediction markets have become more and more intertwined with sports and entertainment businesses. Polymarket has agreements with Major League Baseball and Sportsradar. Sportsradar provides data and services for more than 20 sports leagues and competitions. 

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. 

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Each day of Africa Safer Gambling Week has centred on a different issue around player protection, including responsible gambling and the prevention of underage gambling.

Kesitilwe acknowledges that while Africa is one continent, it is also hugely diverse in terms of markets with different realities across regulatory structures and social contexts.

Therefore, the aim is not to create a single regulatory model, but rather continued collaboration that allows for locally relevant messaging and measures.