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Under Section 106 of New Zealand’s Gambling Act 2003, a class 4 licence holder, also known as a “corporate society” by the regulator, “must apply or distribute the net proceeds from class 4 gambling only to or for an authorised purpose specified in the corporate society’s licence”.
The DIA worked directly with class 4 gambling operators (commonly known as pokies trusts), and discovered ‘widespread issues’ such as cases where money that should have been available for community grants was instead spent on society expenses, such as the purchase of additional gaming machines.
Vicki Scott, the DIA’s director of gambling, said the investigation had delivered significant results, while stressing that work to improve compliance and ensure communities received their share of gambling proceeds would continue.
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Among the 100 most recommended profiles are accounts that, together, have accumulated more than 6 million followers and 114,000 posts. There are three main types of profiles recommended by Instagram: operators, content creators and media specialising in the betting market.
The research also identified content that associates betting with investments and the possibility of income.
In one of his Instagram stories, speaking directly to the camera, Pedro (a fictitious name for a “professional gambler”) shares a “unique opportunity”. He says that he is going to release a “super promotion for a premium group, which has higher odds”.
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An ACMA spokesperson reiterated: “BetStop is an important consumer protection measure, but it only works if wagering companies follow the rules.”
As of January 2027, BetStop will be further promoted as part of a reform package to gambling laws in Australia. Following a statutory review, the government committed to improving system usability and boosting promotional efforts. It is also committed to funding ACMA marketing to support BetStop and recovering operational costs from industry participants.
Additionally, the register will receive AU$28.7 million over four years, with AU$3.2 million ongoing annually beyond that to improve data-matching systems.
