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The company said it had over 12,000 employees who worked to combat fraudulent reviews, including those stemming from groups that coordinate their efforts on platforms like Facebook and Twitter. Amazon said it had reported over 10,000 fake review groups to Meta.

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In just the first few months, we made around $10,000 because coloring books were very popular at the time. We can't guarantee they're as popular now, but with more people staying at home, for the time being, it's still an option worth exploring. That doesn't mean you can throw together a book about anything and just wait for the money to roll in, though. You will need to spend time researching which niches are most popular by looking at what's selling in Kindle's top books.

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Monthly listeners is an important metric, but it's more of a passive count as it combines fans of the artist with people who listen to them unintentionally (playlists, another artist's radio station, etc.). Spotify followers is an active count of users who intentionally engage with the artist by choosing to follow them. Because of the nature of these measurements, an artist is rarely going to have more followers than monthly listeners, but the fall off between the two will be much steeper if you're faking stream numbers. What a "good" ratio looks like varies wildly, but in general the lower the better. Here are some examples for reference, from artists with strong, real fan bases of all sizes: The Spotify Ratio is Off

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Monthly listeners is an important metric, but it's more of a passive count as it combines fans of the artist with people who listen to them unintentionally (playlists, another artist's radio station, etc.). Spotify followers is an active count of users who intentionally engage with the artist by choosing to follow them. Because of the nature of these measurements, an artist is rarely going to have more followers than monthly listeners, but the fall off between the two will be much steeper if you're faking stream numbers. What a "good" ratio looks like varies wildly, but in general the lower the better. Here are some examples for reference, from artists with strong, real fan bases of all sizes: The Spotify Ratio is Off

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If you have any questions or thoughts you'd like to share about selling on Amazon, drop a comment below. I'll be happy to answer them. Due to the small inventory, the sellers could lose out during sales on holidays since they can't keep up with the traffic.

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While there are plenty of customers that do use and review products for free immediately after their release dates, this is far from the norm. In some extreme cases, you can check if reviews are fake by noticing whether the date of the review came before the date of release. How to Tell if Reviews are Fake: Spot Fake from Real Reviews

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Campaign against Klausner: There is an ongoing campaign against Amazon's best-known reviewer, Harriet Klausner, who has posted more than 25,000 reviews on the site, many of them ¿misleadingly¿ positive, according to the Times Amazon will not disclose how many reviews it has erased

López V, del Río S, Benítez JM, Herrera F (2015) Cost-sensitive linguistic fuzzy rule based classification systems under the MapReduce framework for imbalanced big data. Fuzzy Sets Syst 258:5–38 These features deal with the underlying meaning or concepts of the words and are used by Raymond et al. [1] to create semantic language models for detecting untruthful reviews. The rationale is that changing a word like "love" to "like" in a review should not affect the similarity of the reviews since they have similar meanings.

López V, del Río S, Benítez JM, Herrera F (2015) Cost-sensitive linguistic fuzzy rule based classification systems under the MapReduce framework for imbalanced big data. Fuzzy Sets Syst 258:5–38 These features deal with the underlying meaning or concepts of the words and are used by Raymond et al. [1] to create semantic language models for detecting untruthful reviews. The rationale is that changing a word like "love" to "like" in a review should not affect the similarity of the reviews since they have similar meanings.

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Endorsements to deceive consumers are plentiful on the Internet. To mediate this problem, the Federal Trade Commission (FTC) put hundreds of companies on notice in October 2021 that if they use fabricated endorsements to deceive consumers, they could face financial penalties up to $43,793 per violation. Beware of social media reviews. The FTC guidelines on disclosures require influencers to reveal they have a financial, employment, personal or family relationship with a brand when promoting their product. Popular social media influencers have come under scrutiny for not disclosing their relationship with a brand while telling their audience to purchase or use a product.

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The American Consumer Opinion company is a market research company that specializes in product testing and surveys. How can I become a product tester?

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Ascertaining the truthfulness and trustworthiness of information posted on social media has been challenging with the proliferation of unsubstantiated, misleading, and inciting news, with different intents by purveyors. Unlike the traditional media with some level of regulations, user-generated posts on social networks does not pass through censorships in order to establish the truism of news items hence the need to be cautious of posted information on the networks. The lingering issue of recent suspension of Twitter microblogging site by the Nigerian government and the consequent decision to regulate social network operations in the country similarly centers on the subject of social media dependability for legitimate social engagements by millions of savvy Nigerian users. Whereas existing models in literature have proposed state-of-the-arts, this study seeks to improve on obtainable studies with a bi-modal machine learning methodology that indicate symptoms of infodemic social media posts. Using a multimedia facebook corpus, an unsupervised natural language processor, Inception v3 model, coupled with a hierarchical clustering network, is deployed for the duo of image and text sentiment analytics. Experimental result uniquely identified infodemic tendencies in facebook text-corpus and efficiently differentiates image-corpus into respective clusters through the Euclidian distance metrics. The most infodemic post returned a-0.9719 compound score while the most positive post returns 0.9488. Veracity assessment of polarized opinions expressed in negative clusters reveals that provocative, derogatory, obnoxious, etc. indicate propensity for infodemic tendencies. 2022 •

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