Can AI and Machine Learning Fix Fake News?


(Image: charles taylor/Shutterstock)

(Image: charles taylor/Shutterstock)

How do you know if the label "fake news" applies to the words you are reading or the news stories you are watching on TV or the internet? One of the things I do to make sure what I'm reading is actual news and not fake news is to make sure the news I'm reading is coming from a trusted publisher. Among those I trust to deliver accurate fact-based reporting is Bloomberg.

It's a brand that has been in the business of delivering information since the 1980s. Now, amid a turbulent time for the news media and a groundbreaking time for the advancement of data analytics, Bloomberg is positioned to apply the benefits of AI and machine learning to news gathering, information gathering, and more.

This week we welcome Bloomberg CTO Gideon Mann to A2 Radio. Mann also serves as Head of Data Science at Bloomberg, which started out as financial data services provider and still is well known for its "Bloomberg Terminal."

In his capacity heading up data science at Bloomberg, Mann's work touches a wide range of issues, from how data science can be used for news gathering and reporting and fact checking to some experiments the firm is conducting about how augmented reality might be used in an enterprise setting.

We'll also talk about social sentiment analysis. This is another key project at Bloomberg. Bloomberg has examined how sentiment analysis techniques can be applied to identify news stories or tweets that are relevant for an individual stock ticker and assign sentiment scores to stories or tweets in a feed.

Join us on Tuesday, July 18, at 2 pm ET/11 am PT as we talk to Gideon Mann about all these issues, projects, and what else is going on in Bloomberg's office of the CTO. You can register now for this event by clicking here.

Jessica Davis, Senior Editor, Enterprise Apps, Informationweek

Jessica Davis has spent a career covering the intersection of business and technology at titles including IDG's Infoworld, Ziff Davis Enterprise's eWeek and Channel Insider, and Penton Technology's MSPmentor. She's passionate about the practical use of business intelligence, predictive analytics, and big data for smarter business and a better world. In her spare time she enjoys playing Minecraft and other video games with her sons. She's also a student and performer of improvisational comedy. Follow her on Twitter: @jessicadavis.

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Re: Fake News
  • 7/27/2017 8:20:22 AM
NO RATINGS

Looking at some TV local news coverage I sometimes wonder if even the intelligence level of the reporters, writers, and anchor people might be a tad low contributing to some low quality stories. And wonder if the folks who have the final say in what and how news is reported contribute to the sometime low quality of reporting resulting in more opinion or bias than news facts.

Re: Fake News
  • 7/25/2017 9:14:43 PM
NO RATINGS

Hi Louis, as long as news has been around, there have been editors. Editors clip a story to fit within a certain space in a paper or on a broadcast. And they have always applied their own and their institution's priorities to their work. What's more, sloppiness and laziness on the part of editors and writers are also constants that impact coverage. Some can argue that all these factors have increased in the 24/7 news cycle. And none of them should be excused.

Re: Fake News
  • 7/25/2017 3:35:30 PM
NO RATINGS

I see a new course being taught in schools coming soon !   

 

Fake News 101 : An Introduction, Consequences and Pitfalls.

Re: Fake News
  • 7/25/2017 3:30:34 PM
NO RATINGS

"....often find information that both news organizations omitted "

 

@Tricia    This is the real issue if you ask me.  This omission of information happens far too often.   I would much rather have a complete story on an important topic than it be edited down so the network can work in meaningless segments.

 

Our isssues with News goes far beyond whether it is fake or not.

Fake News: Calling All Robots ?
  • 7/25/2017 3:25:07 PM
NO RATINGS

I wonder how I missed this radio show - I am going to have to check out  the archived version.  I find it kind of odd to introduce the question of the use of AI and Machine Learning to fix Fake News.

Does this potential approach imply that humans cannot discern real vs fake news ?   

 

I think I know the answer.

Re: Fake News
  • 7/18/2017 5:26:57 PM
NO RATINGS

Were news sources more balanced in the past?

It seems they've all gone so far in one direction or another that the only solution is to get news from a variety of sources if you want to have some idea of what's going on.

Re: Fake News
  • 7/18/2017 9:17:11 AM
NO RATINGS

@Terry absolutely. Critical thinking while watching and reading news is essential. 

Re: Fake News
  • 7/17/2017 9:23:00 PM
NO RATINGS

More conscious consumption of what we read and hear and watch is a silver lining to the fake news cloud. Especially with the information floodgates of the Web, being more critical and skeptical is an essential skill for any media user.

Re: Fake News
  • 7/17/2017 8:55:48 PM
NO RATINGS

Headlines for a long long time have been written to capture reader's attention. Although depending on the source, they can either be entirely factual or on the other hand shade the truth. It will be interesting to see if AI and machine learning will eventually be able to "fix" those headlines and stories that are not totally truthful, based on established facts.

Re: Fake News
  • 7/17/2017 1:44:11 PM
NO RATINGS

You can make a game out of it: look up the way something is covered in the UK by Guardian and the Telegraph. Really no single source is wholly reliable, but some are better (as in less politcally-motivated to uphold a certain narrative) than others. It's not really AI that makes the difference but organizations like Honest Reporting that dedicate human time and energy to exposing fake news and misrepresentation of headlines or details.

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