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The acceptance and authorisation process is restricted to paid media. Regarding organic content that sells, markets, depicts or promotes online gambling, Meta states, in the restricted products and services section, that it encourages safety, prevents potentially harmful activities and displays content only to those over 18 years of age.
The policies in question do not mention the practice of responsible gaming and do not detail other legal and regulatory obligations. They also do not specify the resources used to validate certifications, monitor licences and content, identify irregular practices and operators, or apply moderation measures.
The absence of governance policies aligned with current regulations and Instagram’s algorithmic recommendations reveals not only an ecosystem that fuels gambling as an alternative to work, but above all, points to a systemic risk in which Meta is a major player. This risk can only be effectively addressed by expanding the obligations of digital platforms.
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The regulator concluded that the central figure’s youthful facial features, casual styling and excited demeanour gave the impression he was in his late teens or early twenties.
As such, the ad violated rule 16.3 of the CAP Code (Edition 12).
Midnite’s operator, Dribble Media Ltd, stated that the ad had not been authorised by their company. They cited discrepancies in branding and asserted that it was created and disseminated by an affiliate, Limay Media Ltd, without Midnite’s approval.
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Financial advisors continue to urge consumers to view sports wagering strictly as entertainment and to only risk funds they can afford to lose.
Research from Stanford University published in April concluded that sports bettors remain “overoptimistic,” generally expecting to break even despite losing an average of 7.5 cents on every dollar wagered.
“Overoptimism is largest among bettors who partake in a complex type of bet known as a parlay,” the Stanford researchers wrote. “Compared to other forms of betting, parlays are more likely to be driven by bias.”