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several of its obligations include licensing land-based and online gaming operators, enforcing gaming laws, and creating a safer environment for players. 2005 the national lottery act passes and creates a national lottery as well as the national gambling regulator the national lottery regulatory commission. responsible gambling programs in nigeria as the gambling market grows in nigeria, there have been major concerns about the current infrastructure to deal with the rise in problem gambling. penalties for gambling-related crime if a body corporate: forging a ticket, knowingly accepting underage gamblers, fraudulently taking bets: financial penalty up to n100,000. if they operate in certain states, they must pay an additional percentage of taxes from revenues generated within the region. most states have a lottery board that regulate the industry or do so through their internal revenue boards. betfair online betting
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detecting fake-review buyers using network structure: direct evidence from amazon online reviews significantly impact consumers' decision-making process and firms' economic outcomes and are widely seen as crucial to the success of online markets. firms, therefore, have a strong incentive to manipulate ratings using fake reviews. this presents a problem that academic researchers have tried to solve for over two decades and on which platforms expend a large amount of resources. nevertheless, the prevalence of fake reviews is arguably higher than ever. to combat this, we collect a dataset of reviews for thousands of amazon products and develop a general and highly accurate method for detecting fake reviews. a unique difference between previous datasets and ours is that we directly observe which sellers buy fake reviews. thus, while prior research has trained models using laboratory-generated reviews or proxies for fake reviews, we are able to train a model using actual fake reviews. we show that products that buy fake reviews are highly clustered in the product reviewer network. therefore, features constructed from this network are highly predictive of which products buy fake reviews. we show that our network-based approach is also successful at detecting fake review buyers even without ground truth data, as unsupervised clustering methods can accurately identify fake review buyers by identifying clusters of products that are closely connected in the network. while text or metadata can be manipulated to evade detection, network-based features are more costly to manipulate because these features result directly from the inherent limitations of buying reviews from online review marketplaces, making our detection approach more robust to manipulation. keywords: machine learning; networks; online reviews; text analysis. conflict of interest statement the authors declare no competing interest.betfair online betting
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the average betting unit is $172 while the median is $50 2% bet at least once a week. 4%), and teasers (19. according to the same odds assist study, 64. 7%) are the most common type of wagers, according to an odds assist study. 7% of bettors bet on their favorite teams "much more" (38. betfair online betting

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