A N O , I T A L Y 001 DATA SCIENCE IS WRITING THE FUTURE, COME AND LEAVE A MARK ON IT! SHODIPO AYOMIDE - THE EUROPEAN R USERS CONFERENCE, MILANO, ITALY
come's From What is categorized as Fake News How AI come's into play Data Science in this combat 002 DATA SCIENCE IS WRITING THE FUTURE, COME AND LEAVE A MARK ON IT!
with access to something as simple as the internet The Why is the main question we should be asking and not how 004 - Hate Torwards a Pertuclar Person or Country - Revenge - Political Reasons - To Promote a Products or Service - But especially because it pays! Well DATA SCIENCE IS WRITING THE FUTURE, COME AND LEAVE A MARK ON IT!
selling a product for a, b & c not knowing to the customer is being scammed, he can only perform a on this product b & c is just Fake News The Seller would make a huge payout just from marketing this kind of product, even though it's a lie 005 DATA SCIENCE IS WRITING THE FUTURE, COME AND LEAVE A MARK ON IT!
(Facebook, Twitter, Instagram) - Radio - Television - People on the Streets talking - Newspaper Companies 006 DATA SCIENCE IS WRITING THE FUTURE, COME AND LEAVE A MARK ON IT!
and differentiate Fake News from real news The next goal is using techniques and methods in Data Science 008 DATA SCIENCE IS WRITING THE FUTURE, COME AND LEAVE A MARK ON IT! Data Science is a great technology that tries and find's patterns in data sets and this may be the solution to differentiate between Fake News and Real News.
THE FUTURE, COME AND LEAVE A MARK ON IT! Artificial Intelligence (AI) and machine learning in particular, may be used to detect patterns that may characterize Fake News when the human eye cannot see it clearly.
THE FUTURE, COME AND LEAVE A MARK ON IT! Only in the past few decades, there has been an effort to use AI to detect types of deception. Additionally, in the past few years there has been an effort to use AI to detect Fake News. The majority of the research has not focused on full news articles, but on short statements Not so much work has been put in till today...
THE FUTURE, COME AND LEAVE A MARK ON IT! There is a datasets that contain full length articles such as "FakeNewsNet" which is a small dataset with supplementary data. This data was collected from articles posted to twitter and contains data such as the profile of the user who posted the article and other social media context
MARK ON IT! DATA IS THE KEY IS DIFFERENTIATING WHAT IS REAL & WHAT IS FAKE AND THAT IS WHAT WE DO NOT HAVE ENOUGH OF. You could screenshot and tweet this over Twitter, tag me also @developerayo
MARK ON IT! HOW AI COME'S INTO PLAY Another dataset, called `BS DETECTOR` which is a lists of websites labeled for what they are. This list of labels includeded in this data set are: - Fake - Conspiracy - Bias
MARK ON IT! HOW AI COME'S INTO PLAY Classifing news articles the raw text data needs to be turned into something more useful that could easily be understood This process is called "feature extraction" Feature extraction can take many forms when analyzed: word counts, punctuation usage, statement style, and others.
MARK ON IT! HOW AI COME'S INTO PLAY To find patterns in Fake News, first the two kinds of news needs to be collected and labeled. Both Fake News and Real news and represented in roughly equal amounts. This is to avoid the confusion between how the Fake News & Real News in the dataset are being used as a determining factor in classifying between real and fake.
MARK ON IT! HOW AI COME'S INTO PLAY To find patterns in Fake News, first the two kinds of news needs to be collected and labeled. Both Fake News and Real news and represented in roughly equal amounts. This is to avoid the confusion between how the Fake News & Real News in the dataset are being used as a determining factor in classifying between real and fake.
MARK ON IT! HOW AI COME'S INTO PLAY To find patterns in Fake News, first the two kinds of news needs to be collected and labeled. Both Fake News and Real news and represented in roughly equal amounts. This is to avoid the confusion between how the Fake News & Real News in the dataset are being used as a determining factor in classifying between real and fake.
Fake News is using the technology availbe to us at our disposal which is Articial Intelligence (AI) & Machine Learning. If we do not have enough data of past stragtegies used in fake news and study them, we would most lily fall a prey to this security breach again. Let's do better! 020 DATA SCIENCE IS WRITING THE FUTURE, COME AND LEAVE A MARK ON IT!