With the help of Machine learning, people can now easily write reviews but nobody can be sure about their authenticity. It’s the faith of people in their peers that makes them believe their words. Talking about the top E-commerce websites such as Amazon, where people can find reviews regarding products, people easily believe whatever is mentioned in the product details due to the popularity of the website. There are many top websites who have earned value just because of their readers’ and subscribers’ contribution. Different popular social media marketing platforms such as Instagram, Facebook and Twitter totally rely on user-generated content for driving traffic and conversions. All of their credibility is simply due to artificial intelligence and machine learning.
When we talk about machine learning, we cannot deny the fact that it contributes a lot in detecting the fake content rather than creating it. There are various websites that use machine learning algorithms to facilitate users in determining the authenticity of the content. Researchers from various universities are using language context, pronoun-use, semantic similarity and other approaches such as block chain and ontology for the problems encountered in fake reviews. Machine learning has renewed ways how users perceive content.
The Position of AI in Content Generation Market
There are many evidences regarding the fact that several machine review systems are still available in the market for black-hat marketers in the same manner that zombie botnets can be purchased for click fraud, DOS attacks and spam email campaigns. There are many artificially intelligent machine-learning systems that aim to detect fraudulent content received by user-end. The benefits of these systems tend to outperform the content exploitation techniques. Also, in the area of rewriting the content, there is a lot of content that is regarded as false content by AI systems.
The tools such as article spinners and locally installed programs make use of AI-based algorithms for spinning and rewriting the content provided by users, who further make use of it for serving their own purposes. Such companies are then sued by content owners and flagged for content theft by the search engines.
The Importance of Content Authenticity
Without the permission of the content-owners, nobody has got the right to use someone’s content. All such tools that lead to rewriting of original content though lie in the grey area of legality, citation of content sources can save you from getting considered in content fraud cases. Many individuals still wonder if content automation also comes under AI-driven journalism.
For the successful pursuit of content in machine learning, you need to have knowledge about the study of word patterns. Not to forget, search giant is one of the biggest investors of AI. Those businesses that depend on Google search placement need to understand this fact. Search engines are also working on ways to carve away all the low-quality and imitative content that is placed over internet.
Companies that make use of black-hat SEO content techniques might be currently at a good SEO position, but will soon experience an SEO catastrophe. The persistent value of self-written content can never be denied. No matter whatever updates there should be on search engines, self-generated content always survives and withstands all the trends and changes. Founding a business model based on deceptive techniques and artificial content is thus a short-sighted strategy.
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