Artificial Intelligence and the Future of Journalism

Artificial Intelligence and the Future of Journalism

Today is the age of social media and data, intelligent machines, and artificial intelligence.

Artificial intelligence refers to intelligent machines that learn from experience and model to perform human-like tasks. In other words, artificial intelligence is the modeling of intelligent human behavior to solve complex problems.

News media use artificial intelligence such as detecting fake news and images, simultaneous translation, AI-based chats, speech-to-text conversion, and monitoring of gender and racial bias in content output.

Some argue that in the age of data and the unlimited content and dominance of artificial intelligence, robots, and so-called news automation, journalism is being marginalized and diminished; And we will see the authority of robot journalism.

On the other hand, some believe that journalism will improve. For example, one of the severe and new works in this field is the book “Newsmakers, Artificial Intelligence and the Future of Journalism,” published by Columbia University in New York in 2020.

Francesco Marconi, the author of this book, is one of the most creative people in artificial intelligence, data mining, and computational journalism.

He was the first director of research and development at The Wall Street Journal, leading data mining researchers to help write the medium. He also manages the process of using artificial intelligence in the editorial in the Associated Press.

In this book, Marconi explains how journalism is advancing despite the proliferation of robots and that journalists are discovering new capacities and ways to organize and deliver the news.

Artificial intelligence is not meant to replace or eliminate journalists. Still, only 8 to 12 percent of the current tasks of journalists are done by machines, which in fact shifts the direction of editors and journalists to value-added content, i.e., special interviews, analysis, biased journalism. Data and investigative journalism. In fact, he thinks journalism is getting better.

Explaining the opportunities and challenges ahead, he explains that artificial intelligence helps both spread the word and spread the word faster, and more importantly, deepens the analysis. As a result, it is very different from the previous generation.

They are immersed in data that is unprecedented. However, with artificial intelligence, one can evaluate and categorize the tendency and taste of the audience through the history of citizens’ activities on social media and reviewing hashtags, likes, and their visits. Of course, their future preferences can be predicted. But you still need an editor and, in fact, a journalistic perspective, and this insight and social responsibility play a significant role. From this point of view, people should be centered in the whole process of journalism.

Journalism needs transparency and clarity, and this is what artificial intelligence helps. This help has different dimensions.

We can use artificial intelligence to discern what information a community of audiences knows about a given subject based on their past history and habits. It is a kind of community and network-scale personalization of what communities need additional information.

In addition, that knowledge can be used as a template and idea for providing updates on the subject. 

According to set developments, in this technology field and culture of news consumption, the content and the structure of narratives need to be reconsidered. The job of a journalist requires a combination of different positions. They go out and find information, ask questions, observe, and identify trends in data.

They write a report or record it audio or video, and when they are done, consider other ways to publish it, such as a tweet or post on Facebook, in addition to the newspaper or TV newsroom. In the age of data and networking and the possibility of widespread access, journalists need to rethink how different forms of reporting are made. Artificial intelligence helps journalists search for patterns and find narratives in these large datasets.

Artificial intelligence journalism is moving towards a different paradigm from reporting.

Leading news media outlets have done great work in personalizing more content for different audiences creating formulas, and building dashboards to help journalists identify exciting reports.

“Jeremy Gilbert, a professor at Northwestern University, said:

I can not think of another time in the last forty years that journalism is as important now. Of course, there is a basic need for better and higher-quality journalism, but in today’s world, this is not possible without the acceptance of artificial intelligence.

Artificial intelligence is the heart of the future news media business model. So many conferences have been held so far on its impact on the end of journalism. The various dimensions of its impact on the news should be taken seriously in universities and started with startups. Marconi suggests that journalists need to be trained to be prepared for change.

Technological developments are inevitable, and inevitably our country’s media industry is not exempt from it. A correct understanding of the world ahead is necessary for change management. Therefore universities, responsible organizations, and the news media themselves are all responsible for managing this change in the media. The efficiency of the country’s news media depends on paying attention to expanding phenomena.

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