What are the applications of artificial intelligence in press websites?
1 Answer

Applications of artificial intelligence in press websites :-

  1. Chatbots
  2. Social Selling
  3. Predictive Analytics
  4. AI Generated Content
  5. Personalizing the Content & Recommendations
  6. Using Social Media for Sentiment Analysis
  7. Classification & Categorization of Content
  8. Detecting & Controlling the Fake Content

Let's explain it -

  • Chatbots - Chatbots are an artificial intelligence software that can maintain a conversation or a discussion with a user using natural language on different platforms such as email applications, websites or mobile applications (Dagnon, 2018; Frankenfield, 2018). Chatbots are able to respond quickly, in very superior and completely assuring expressions in the interaction between computer systems and humans. However, on the technical side, chatbots are only a fundamental evolution of a question-and-answer system based on natural language processing (Frankenfield, 2018).

  • Social-Selling - Social selling is the art of using social networks to find, interact, understand, develop and take advantage of sales offers. It is the most modern method of developing strong relationships with potential customers to keep the brand in mind (Newberry, 2017). It is merely the use of social tools to engage in customer relationship techniques. We have to describe what social selling is not. It is not about fooling people with ads, tweets, or unsolicited content. This is spam, and it is definitely not social selling.

  • Predictive Analytics - Predictive analytics refers to the use of statistics and machine learning to analyse behaviour and derive predictions. All the same, humans are very predictable because we all have routines like waking up in the morning, brushing your teeth, taking a shower, getting dressed and having breakfast. This aspect of prediction allows the marketing specialists to know what will happen in the future and adapt the marketing campaigns according to the thing (Stelzner, 2018).

  • AI Generated Content - Targeted advertising has become fundamental. Artificial intelligence is now helping marketers read further data and promote digital campaigns. All this is meant to understand Internet users’ intentions and suggest content better suited to their expectations (Kreimer, 2018). Artificial intelligence allows marketers to produce content automatically for simple stories, such as ports reports and stock analytics.

  • Personalizing the Content & Recommendations - From music app to OTT platforms, the audio, as well as visual contents, can be personalized as per the preferences and previous experiences. Using machine learning, users behaviour and demographic details, music or videos are recommended like what kind of movies they like most. AI using advanced machine learning algorithms and deep learning networks helping in delivering personalized content to users. And this kind of highly personalized experience for users helps media or entertainment companies increase their user base and offer a better service compared to their competitors.

  • Using Social Media for Sentiment Analysis - Unofficial media sites like social networking platforms and messaging applications providing a free place for to users share their opinions and views on different topics. Analysing such discussion of different age group or people from different regions or demographics provides useful insights about the different people. To analysis the content published on social media sites, sentiment analysis is the technique used by many companies. And once such data is gathered, is again used for machine learning to develop the AI model that can analyse the sentiments and feelings of people interacting with each other unofficially at such platforms.

  • Classification & Categorization of Content - Online streaming platforms like YouTube or OTT have different genre of music videos, songs, movies or TV shows. And these online platforms are using AI algorithms to show the content as per the user's preference and choice. The AI-enabled system can detect the objects, data, visual scenes and other details about the movies like genre, cast and crew members to show them similar content. Implementing the AI in media and entertainment industry can automate the categorization and classification of content for a better users experience.

  • Detecting & Controlling the Fake Content - Apart from original news posts, many websites publish and circulate fake news to provoke the audience towards certain events or social issues. AI is helping here to detect and control such content and helps the online platforms like social media sites owners to moderate or remove the content before circulation. And not only the text content but images and videos are also created using the deepfake technology. But with the help of deepfake detection service, we can identify the fake images and videos reporting the regulatory authorities to take appropriate actions such as creators helping our online community away from such fake things.
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