How Artificial Intelligence Tools Could be of Help Us in Recognizing Fake News

A word of warning to people that infiltrate the content pipeline with information that is not factual, because there's heightened demand for new methods to distill the mountains of data we are presented with daily down to the augmented reality. People crave a way to decrease the opinions, marketing speak and propaganda to get to the truth. And technology just could be the solution we must turn into data-driven decision-makers and know the information.

There are reasons why people fight under the burden of fake or useless content. Every 60 minutes, 160 million emails have been sent, 98,000 tweets are shared on Twitter, 600 videos are uploaded to YouTube and 1,500 website entries are made. Nobody but a system can keep up with it all.

Not only do we fight to find if politicians are now telling us the truth, but marketers try to hook us up with all types of products which are exactly what we want since they are far better than the competition, the safest and the only one that will get you your desired effects. The hyperbole can be exhausting.

We have not experienced such a time when even once we have sufficient info and numerous opinions thrown at us from several angles. In reaction to our struggles, fact-checking organizations who are dedicated to dissect and examine bills made by politicians and public figures today exist and are becoming increasingly visible.

As data continues to burst, and the capacity to clutter through it to find the truth required at a circumstance is vital. Consumers won't be patient either. They want to find out whatever they want to know and they would like to know it instantly. Brands might have to respond with precision and transparency if they hope to remain competitive.

Firms have begun to respond to their own clients' requirements for facts. The huge data-driven, machine-learning technology that is rolling out gives customers the raw material required to measure and quantify the objective facts and act according to those findings, as opposed to relying on comments and gut instincts so common now.

Assessing the Advertisements offers a remedy to verify ads so advertisers can continue to keep an eye on where the content is exhibited and publishers may check that content meets their policy. The tool augments the task of editorial staff with deep learning and Natural Language Processing capabilities to discover patterns which indicate malware, spam or improper content. It also assesses the content of advertisements and uses AI tools that leverage online knowledge repositories to either confirm facts or highlight potentially fake ones.

Fact Checking on Facebook

Especially after the recent backlash against Facebook, the company is on a mission to recover user confidence. Facebook has been working with four separate fact-checking associations--Snopes, Politifact, ABC News and verify the truthfulness of reports that are viral. New tools which are intended to stop the spread of information will inform Facebook users whenever they try to discuss a story that has been bookmarked as untrue by these 'separate fact-checkers.' Facebook has only recently announced its own plan to open two new AI Labs which will work on creating an AI safety net for its users, handling fake information, political propaganda in addition to bullying on its own stage.

Transparency of Manufacturing Costs

Alit Wine is leading the industry to "shine a light to the areas the wine sector does not talk about," creator Mark Tarlov says. One of the things that are typically hush-hush in the market would be about how much each portion of this wine making process costs. But not Alit Wine. The company sells wine directly to customers and they detail precisely how much every step of manufacturing costs for the wines they trade.

Inverse of Big Brother

Normally we're concerned about the scrutiny of this authorities into our own scenarios. But, Contratobook helps citizens scrutinize the work of authorities and public officials. Launched in Mexico in 2016 with several unidentified hackers, the company is an open-source system platform which allows people to search, filter and comments on over 1.6 million government bids and contracts dating back to 2002. For all those citizens with a need to accomplish this, they can take a look at each entry's details such as contact values, related parties and begin date to find irregular or inaccurate expenses.

Those brands, platforms, and businesses that build confidence with their customer base via transparency and factual information, which may be confirmed with data are expected to get the competitive advantage in a world which has grown tired of their prevalent dishonesty and misinformation which penetrates our culture. Because of large information and machine learning, any business is now able to produce more transparent and reliable systems we will all profit from.