Building a Vibrant Open Source Community, and the “Take A Penny, Leave A Penny” Doctrine

Building a Vibrant Open Source Community, and the “Take A Penny, Leave A Penny” Doctrine

Open source software is different than proprietary software in one very important area: open source software can enable new ways to create value. The very nature of open source software – and the community that springs up around that open source software – provides a
The New Kids On The Block: Data Protection Officers

The New Kids On The Block: Data Protection Officers

Data Protection Officers The General Data Protection Regulation (GDPR) is officially here. Yet, organizations are still unaware, are ignoring, or flat out didn’t build in enough time to make sure they met all mandates of this expansive and impactful regulation. One of the lesser well-known

How to Fight Fake News with AI

With two-in-three U.S. adults, or 64 percent, saying that fake news stories are causing a great deal of confusion about current events, one cannot ignore impact of fabricated news on today’s society. According to a study by Pew Research, 45 percent of Americans think government, politicians and elected officials should deal with the mass occurrence of fake news while 42 percent believe that social networking sites and search engines should take responsibility for fighting fabricated news. Whomever the public opinion is considering in charge of dealing with fake news, only tools using artificial intelligence (AI) can succeed in finding, filtering and eventually removing made-up news online. Although human intervention is required in many cases, AI is much more capable of instantly recognizing a fake news story and taking the required actions.

Organizations and states develop AI systems targeting fake news

The Fake News Challenge organization, for instance, is proposing an algorithm based on comparison of a topic’s coverage by multiple news organizations. They call this process Stance Detection that is based on evaluating the relative perspective of two pieces of text relative to a topic, claim or issue. Comparing, with the assistance of AI, the stance of a body text in relation to a headline allows for determining if the body text agree, disagree, discuss or is unrelated to the headline. Then AI can define the body text as fake or factual news in agreement with pre-defined rules and algorithms.

Other large organizations are working on development of such algorithms as well. A team of Google researchers published a paper in 2015, defining a new method for estimating the trustworthiness of a web source i.e. webpages or online documents. Their technology enables search engines to understand a page’s context without relying on third-party indications such as links. Google’s algorithm assigns a trust score that in fact distinguishes between made-up content and trustworthy content on the web.

At state level, the European Union is investing in Pheme, a technology aiming to identify speculation, controversy, misinformation and disinformation on social media and in the online space as a whole. Pheme’s creators admit it is extremely difficult to assess whether a piece of information belongs to one of the four categories, especially in the context of social media. Nonetheless, machine learning and deep learning technologies can help Pheme progress toward a viable solution.

AI is the only tool to identify fake news at scale

Those are all critical technologies since the fake news phenomenon is gaining traction with websites small and large using made-up news or deceptive headlines to profit from traffic and gain attention. With majority of online users looking to social media for news information, the problem of fake news is becoming a real issue, especially when politics, economy and human dignity is involved. Another issue with social media is that most people would repost or share a news after reading only its headline, which helps the spreading of fake news to a vast audience.

AI systems, however, are already able to scan and analyse videos, images and audio, in addition to text, and apply machine-learning algorithms to detect made-up news stories. Moreover, the recent rise of the number of fake news online is only helping machine learning systems to better recognise fabricated news and then apply AI to remove those news. Natural Language Processing (NLP) is another promising technology that AI can use to track how different media outlets cover particular news events and determine whether a site has fabricated a fake news on a certain topic.

Those AI-powered tools are still to learn how to identify a fake news in context, though. Even the simplest AI system is able to easily spot an incorrect fact but only a few algorithms are even close to identifying the context around the fact. Another limitation of current AI technologies is that they rely on existing online data i.e. already published content to assess the accuracy and reliability of a news story. If a relatively reputable source publishes a fact within a news story where not much context is provided, an algorithm will experience real difficulties determining whether it is a fake news or truthful story.

Much effort is put into algorithms for fighting fake news and some projects show remarkable progress in this field in spite of all obstacles. According to moderate estimates, we’ll have reliable AI tools for fake news flagging and removal within two to five years if a growing number of organizations and nation states invest a little more effort and funds in fighting fabricated stories. After all, fake news are a powerful weapon and AI is the only current technology that can stop the spreading of made-up stories globally.

By Kiril V. Kirilov

Kiril Kirilov

Kiril V. Kirilov is a content strategist and writer who is analyzing the intersection of business and IT for nearly two decades. Some of the topics he covers include SaaS, cloud computing, artificial intelligence, machine learning, IT startup funding, autonomous vehicles and all things technology. He is also an author of a book about the future of AI and BIg Data in marketing.

BRANDED COMICS FOR YOUR NEXT CAMPAIGN

Get in touch with us regarding our introductory rates!

Secure Business Agility

The First Steps on a CISOs DevOps Journey

CISOs DevOps The marriage between DevOps and Security is rapidly gaining traction. Security is shifting from its former mindset of ...
Driving Transformation? It is possible to predict the future.

Driving Transformation? It is possible to predict the future.

Driving Transformation Previously, I wrote about the criticality of defining the Vision for your transformation - what is your real objective, how ...
7 Reasons Why You Should Consider Deploying SD-WAN Alongside Public Cloud Services

7 Reasons Why You Should Consider Deploying SD-WAN Alongside Public Cloud Services

Why You Should Consider Deploying SD-WAN Software-defined WAN (SD-WAN) and public cloud IaaS services both offer powerful benefits to virtually any ...
David

Egress Fees Don’t Work for Users – Unlimited Free Egress Is Here

Unlimited Free Egress All of the leading object storage vendors – Amazon, Google, and Microsoft – charge for egress (“egress” ...
Apcela

Industrial IoT will reshape network requirements

Industrial IoT The hype around IoT may have been surpassed this year by breathless coverage of topics such as artificial ...

On the Road to Success, Karma Automotive Revs Its Customer Experience

/
Earlier this week, Karma Automotive showcased three new cars at the Shanghai Auto Show. The Southern California-based maker of luxury, electric vehicles sees this as coming-out party of sorts. Billed as the “New ...

Singapore Co-Innovation Center Ecosystem Gets Results in Joint Hackathon

/
Cisco’s Singapore Co-Innovation Center, along with partners ICE71, Div0 & NUS Enterprise, hosted a 3-day long hackathon called "Decipher" on wireless cybersecurity ...

A 360 View of the IoT Landscape Three Years Later

/
The general IoT environment has transformed since I joined the Dell Technologies OEM & IoT team over three years ago. While many of my colleagues focus on specific vertical industries like manufacturing, telco or ...