Artificial Intelligence (AI) has been around for a long time. AI is gradually becoming a part of our daily lives, from fast recommendations on search engines and auto-focus in smartphones to robot waiters at coffee shops and the list goes on. AI has a lot of room for creativity and growth, and it will continue to change the world in a variety of ways in the future.
The news media industry has changed dramatically as a result of technological advances. Furthermore, the rise of artificial intelligence and machine learning has reshaped the ramifications of technology across a wide range of journalism fields. In this area, the growth of the robot reporter and automated journalism has developed rapidly.
By using computer algorithms to translate raw data into news reports that resemble those written by humans, automated journalism is upending conventional journalism and the position of the news reporter. From satellite communications to the Internet and social media, the media has long been an integral part of technological progress. With the rise of AI and big data, it was only a matter of time before journalism underwent a transformation in terms of production and distribution.
Automated journalism raises the bar for media-machine interaction to new heights. It automates every phase of the news production process, from research to final production and distribution. Automated news reports work better with reality stories, in which organized and accurate data can be translated into content that is not only cheaper and faster to generate, but also tailored, to the reader's preferences. It's no surprise that it's seen as a challenge to conventional journalism standards and efficiency, as well as a source of job insecurity in the industry.
While this may seem to be a grim update in the face of what seems to be a shrinking market, it allows journalists to concentrate on the most critical stories, speeding up the process. The small items, on the other hand, can be easily handled by AI. Furthermore, repetitive and boring work, such as data, can be easily avoided, and it eliminates the possibility of human error, resulting in more reliable and precise reporting. Programs can also strip out fake news, guaranteeing the reports are as accurate as possible, which is critical because readers aren't as willing to fact-check media outlets.
There is also a growing demand for robotic journalism to encourage more contact between readers and reporters, which it does by responding to feedback and inquiries for more real time information, as well as handling content to mask insulting comments. Overall, this recent advancement is expected to continue to expand, as it provides the industry with more reliable, up-to-date, and simpler reporting.
Connexun- news api
Users can use Connexun's news API to get real-time multiple languages headlines, posts, and interactive overviews from thousands of reputable online news sources all over the world. It keeps improving intelligent tools that analyse vast datasets of aggregated information using Machine Learning and Natural Language Processing. Its ability to create overviews from aggregated papers automatically can save reporters a lot of time and energy when it comes to describing and creating original material.
The New York Times — Editor
According to Medium, BBC'S Juicer technology is not the only semantic discovery tool out there. In 2015 The New York Times implemented its experimental AI project known as Editor. When writing an article, a journalist could use tags to highlight a phrase, headline, or main points of the text. Over time, the computer learns to recognize these semantic tags and learns the most salient parts of an article. By searching through data in real time and extracting information based on requested categories, such as events, people, location and dates Editor can make information more accessible, simplifying the research process and providing fast and accurate fact checking.
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