fake reviews extension
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They are giving you money because in the long term they expect you to give them that money back by losing. For example, if you believe that a +200 moneyline will lose, you should bet $250 on that underdog on the risk-free betting app and $500 on the other team to win at -220 on your existing app.
All other cards are counted according to their numeric value. If neither the player or dealer busts, the player wins if his or her total is higher than the dealer's.
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.
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On an ordinary win you win the amount you bet. 1 Replayability 4.
Some books will offer 10-cent lines on baseball moneylines, meaning in this scenario, the Yankees could be -135 and the Red Sox +125. 8% hold on that game all together before it even begins.
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