Artificial Intelligence

Role of Artificial Intelligence (AI) in Media Industry

From the time when “conversing” entailed writing on cave walls and sending messages by pigeons to the present, when Facebooking, Snapchatting, or tweeting our opinions and ideas to the world has become the norm, we have come a long, difficult way. Technology is the strong magic weapon giving wings to our pigeons in today’s society, which is dominated and impacted by digitalization. The pigeons now have many mass media platforms, such as TV or news media.

These platforms have an entirely new structure and identity thanks to artificial intelligence. This technology replicates human intelligence for computer use and allows us to design them to think like humans and mimic their behaviour.

Applications of AI in Media

1.    AI in Controlling Bias

In today’s modern world, the media has been struggling to overcome the growing bias. The information being provided to the audience may frequently be layered with different levels of bias, producing false information in place of true, impartial news.

While Artificial Intelligence undoubtedly carries the risk of becoming a willing apprentice in indulging these incredibly skewed tastes, it may also play a role in finding a solution. As its machine learning algorithms are trained to only take into account the variables that increase their predicted accuracy, based on the data used for training, AI helps in a variety of situations to reduce the subjective interpretation of the data by humans. Unlike human decisions, those made by AI may be scrutinized and reviewed.

2.    AI in Social Media


Despite having a huge user base, Facebook uses a variety of approaches to study and learn about its user’s behaviour, which is the foundation of the social media platform.

  • Deep Learning – This method can understand a picture’s context and assess its contents using metadata and text without requiring specific information from the image. For instance, if there are a lot of tiger photographs and videos being shared on Facebook, this technique can provide insights into how frequently products feature in these images and videos so that adverts can be placed for those who might be interested in watching tiger movies.
  • Deep Text – Using its algorithm, DeepText uses neural networking to evaluate the words in user posts to comprehend their meaning and context.
  • Face recognition is a system that can distinguish between human faces in two or more photographs. The accuracy of the technology has also drawn a lot of criticism.


  • Twitter uses artificial intelligence (AI) to recommend tweets on a user’s timeline and priorities the most pertinent messages for them. Natural Language Processing (NLP) analyses millions of tweets every second and offers insights into user preferences.
  • Removing Hateful Accounts: Twitter uses AI algorithms to identify and delete accounts that spread hate speech or support extremist causes.


  • To help users locate images linked to their favourite activities and experiences, Instagram uses AI to build its search function using its enormous database. This is possible because of the daily millions of photos published on the platform.


  • Recommendations for Jobs and Connections – LinkedIn uses AI to distribute particular content to users’ newsfeeds, recommend connections for users to make, and make job recommendations.

3.    AI in Automated Journalism

Automated journalism, often known as “robot journalism,” uses AI-powered natural language generation algorithms to transform data into different news pieces, photos, videos, and visualizations. It then disseminates this content via platforms for automated journalism.

Because of its influence has been the subject of numerous moral discussions because, according to various experts, its use could result in job losses and the spread of fraudulent information.

Publications use AI to handle time-consuming and hard activities, reducing the pressure on journalists. On the basis of its current architecture, Patch, a publishing network, has integrated AI into its content management system to create and distribute its repetitious pieces, such as weather and financial updates.

Machine algorithms use the context of the photographs in publications to determine how relevant they are, as well as previous engagement criteria. For instance, the industry leader in visual communication, Getty Images, has introduced “Panels,” a new AI tool for media publishing that suggests the best visual content to go with a news item. Panels draw information from the Getty Photos database and offer the media editors a personalized research assistant for summarizing stories and providing a variety of images for different parts of the tale.

Final Thoughts

The biggest risk may be failing to use AI to better the lives of billions of people. We can encourage future generations to have the same faith in technology as I do by making sure it is developed responsibly and for the good of everybody,” – Sundar Pichai, CEO of Alphabet and Google

In conclusion, I would state that although artificial intelligence (AI) possesses enormous strength and ability, as well as the potential for evolution and the flourishing of the media and all of its diverse sectors, AI’s power may also turn out to be its most lethal weapon. Therefore, for AI to be a positive advancement, it must be carefully and successfully directed.

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