Online Shopping Reviewers Are Not All That They Seem

Today, every individual can share their opinions with the entire world. The defendant in this case, Yelp! Inc. Is a website which provides an online forum on which its users express opinions about business. The plaintiffs, the small business owners who asserted that Yelp exactioned or attempted to exaction advertising payments from them by manipulating user reviews and posting negative reviews of their businesses. The business owners filed a class-action lawsuit against Yelp for violations of California’s Unfair Competition Law (“UCL”).

It can be time consuming and tiring to read hundreds of reviews and come to a conclusion about a product. Instead if there is a system that could evaluate reviews and give a summarized opinion about a product than that would be much more beneficial. On the other hand evaluation of online reviews will also help the manufacturers of the product to understand what the customers of the product feel about the product. And in order to find the opinions of the users it is necessary to analyze these reviews extensively. Analyzing the reviews manually is impossible as there will be millions of reviews online. But it is possible to analyze them by making use of mining algorithms and sentiment tools and come to a conclusion about the product.

The first rule is that there must always a confirmation of so-called facts separately from where the so-called facts are stated. This tool is particular useful because it protects the user from information coming from only one source, and information that could be formulated with the intent to help sell a product, such as found in infomercials and ads. If one was purchasing a new set of headphones or a keyboard for example that are marketed as a gaming equipment, the manufacturer may advertise that the headphones can make you hear your opponents from farther away using their proprietary technology, or that the keyboard is ultra durable, responds in half the time and can withstand twice the amount of key presses of the competitors. In situations like this, information can be verified through third party reviews, and by asking other users about their experiences. When doing so however one should confirm their information through multiple outside sources as to still follow to rule of not taking so-called facts from only

Online commerce was introduced to consumers in the mid-1990’s, and in the years since, it has grown exponentially. It started out virtually nonexistent and has become a multi-billion dollar industry. Nearly every retail sector has entered online commerce; clothing, electronics, home, health and grooming items, even food and groceries are starting to gain traction online. Online commerce sites rival traditional brick and mortar stores such as Walmart and Target, as well as other big-box stores. As online retailers such as Amazon continue to expand, many brick and mortar stores have been making their way online, indicative of an increasing movement towards online commerce. With more than 80% of the online population having made an online

In the advanced Internet Age, the internet is around all of us. Now people in the United States depend more and more on the internet. With the development of Internet, more and more real concepts can be shown so that people can experience their life easier. The shopping also includes a well-known example, Amazon. Online retail has its own strong advantages as known all around as convenience. And the word "convenience" would be better taken by "conveniences" because of its multiple sides. The conveniences of online shopping may appear on time, product reviewing and reselling. If some office ladies have no time on shopping but they need to buy some casual suits or office suits indeed, they will try to browse the Amazon or other online clothes stores. That is the convenience shows on the time. Product reviewing, we usually know because of our friends who used this product before, can also be found in the "comment" on every online retail filled with others opinions. That hardly appears on a store in realistic life. The last one, when one finished his birthday party and listed what he got totally, reselling always becomes the way one chooses to solve the same thing friends gave repetitively.

• Most fake reviews tend to make use of numerous affiliate links. Of course, having 2 or 3 within the article is fine, but when it goes far beyond that, you know that it was made intentionally as a hard-sell option; specially if it keeps highlighting GenF20 to be the best anti aging cream (but of course, GenF20 is indeed one of the best anti aging products these days). Real GenF20 Plus reviews help you make the right choices, and doesn't force you to make a purchase which you may not actually need as of the

The reviews for the product seem to be overwhelmingly positive [1]. When investigating this detail, we discovered that a few of the top companies would contact customers who wrote critical reviews and offer a refund if they either changed or removed their review. The suspicious ethics and mixed results between costumers

The data reflects the social dimension of Collin-Lachaud & Vanheems (2016). The participants described several social actions during their hybrid shopping process. Those actions were intended to be taken and relate to other dimensions as hedonic experience and influencing factors as technology. For example, receiving opinions of friends in the store or through Facebook. The participants used online channels for searching for reviews. This is shown by all age groups, most common by female participants. The reason for searching for online reviews and ratings is to get information about products and services. By positive reviews and ratings, they experience an excitement of purchasing the product. This is shown by this quote:

Peer review, according to Buttram (1), is a considerable accepted indicator that a source is scholarly and authentic. He further notes that before any publication of a given article or research is done, peer review journals call for the paper or research to be re-examined by proficient in the same field. In other words, the perception of the image and the text in the product review can affect foundation

To check for the authenticity of the product, read a few independent reviews so that you can separate the truth from the lies. When you are assured that it is not a scam, go to the website of the product and place your

The article, ¨ Amazon Is a 21st Century Deal with the Devil ¨ by Amy Koss published by Los Angeles Times is about how amazon is running stores out of business. The author argues that amazon online shopping is bad. I agree with the author because she makes good points as to why it is bad. One of the points is that many retail jobs are being lost and stores are running out of business. She says because they make it more efficient to buy stuff from right off your couch from just a click of a button. In the article the author uses a lot of facts as well as her opinion to state her point. She also states a personal experience from when she went to the mall and very little people were there. She does this to help her get her point across.

Epinions.com is a popular general consumer review site, which was established in 1999. Users can rate an item using 5-scale integer ratings (from 1 to 5). However, users must write a review of at least 20 words for each rating \cite{massa2004using}. Epinions website is one of the most popular websites that allows users to build their web of trust. The web of trust is a list of trust users and distrust users. A user can be a trustor or trustee. The user can set trust list to be public or private, but distrust list is always private. This trust information is used to rank the reviews of products \cite{forsati2014matrix}. Due to the website popularly in the research area, there are several datasets have been extracted from Epinions.com. However,

KlearGear did not act ethically since fining $3,500 for a negative review was a violation to human rights. In addition, the non-disparagement clauses were hidden under "Terms of Use" section, and were even not added to the website at the time of purchase. Since this clause didn't involve at the time of transaction, thus the customer has never agreed to the non-disparagement clause, it could not bind the customer in any ways.

Abstract – Different models are used widely used in e-commerce to rate the products on the portal, but the comments are aggregated to compute seller reputation. The “all good reputation” problem is very prominent in the current e-commerce rating systems. But these scores are universal and it is difficult for potential buyers to buy from trustworthy sellers. In this paper, based on comments that buyers’ express in the feedback section, I have proposed CommTrust for evaluation by mining the feedback comments. My contribution include: (1) I propose a multidimensional trust model for computing user feedback comments; (2) I also propose an Algorithm for Mining Feedback Comments for Dimension Ratings, Combining Techniques of NLP, LDA and PLSA. To the best of my knowledge, I am the pioneer on trust evaluation by mining feedback comments.

The Internet is transforming the way consumers interact with companies and with each other. Online commerce allows us to locate obscure products from around the world, and consumption communities provide forums for people to share opinions and product recommendations. The benefits are accompanied by potential problems, including the loss of privacy.