How artificial intelligence has been used in journalism?

From machine learning to natural language processing, news organisations can use AI to automate a huge number of tasks that make up the chain of journalistic production, including detecting, extracting and verifying data, producing stories and graphics, publishing (with sorting, selection and prioritisation filters) …

Is Google an example of machine learning?

Google services, for example, the image search and translation tools use sophisticated machine learning. This allows the computer to see, listen and speak in much the same way as humans do. Google uses machine learning algorithms to provide its customers with a valuable and personalized experience.

What is machine learning in journalism?

A number of news organisations over the past few years have been embracing the power of Artificial Intelligence (AI) in journalism. Machine learning and AI can be used to automate repetitive tasks, generate content like company earning reports, streamline media workflows or speed up fact-checking.

How technology is used in journalism?

AI platforms can be used to help journalists fact-check in real time and generate automated news coverage. Journalism is also benefiting from AI technology since it largely involves gathering and analyzing datasets to determine if a story exists. The trend is a lot more mainstream than one might think.

What examples can you find to justify the usage of machine learning?

Top 10 real-life examples of Machine Learning

• Image Recognition. Image recognition is one of the most common uses of machine learning.
• Speech Recognition. Speech recognition is the translation of spoken words into the text.
• Medical diagnosis.
• Statistical Arbitrage.
• Learning associations.
• Classification.
• Prediction.
• Extraction.

Is machine learning a cloud?

The cloud makes it easy for enterprises to experiment with machine learning capabilities and scale up as projects go into production and demand increases. The cloud makes intelligent capabilities accessible without requiring advanced skills in artificial intelligence or data science.

What are some examples of machine learning examples?

Machine Learning Examples 1 Recommendation Engines (Netflix) 2 Sorting, tagging and categorizing photos (Yelp) 3 Self-Driving Cars (Waymo) 4 Education (Duolingo) 5 Customer Lifetime Value (Asos) 6 Patient Sickness Predictions (KenSci) 7 Determining Credit Worthiness (Deserve) 8 Targeted Emails (Optimail)

What is an example of gamified learning?

Gamified Learning & Education Example: Duolingo’s language lessons Duolingo is a free language learning app that’s designed to be fun and addicting. Although using Duolingo feels a little bit like playing a game on your phone, its effectiveness is based on research. One aspect of that involves machine learning.

How can machine learning help your business?

When ranking answers to a specific question, the company’s machine learning takes into account thoroughness, truthfulness, reusability and a variety of other characteristics in order to always give the “best” response to any-and-all questions. 12. Giving Businesses Personal-Level Insights

How does Netflix use machine learning?

Using machine learning to curate its enormous collection of TV shows and movies, Netflix taps the streaming history and habits of its millions of users to predict what individual viewers will likely enjoy. 2. Sorted, tagged & Categorized Photos