One of the latest collaborations between artificial intelligence and humans is further evidence of how machines and humans can achieve better results when they work together. Artificial intelligence (AI) is now at work to counter the spread of disinformation across the web and social platforms thanks to the efforts of start-ups such as Logically. While AI is capable of analyzing the vast amounts of information generated daily on a scale impossible for humans, ultimately humans must be part of the fact-checking process to ensure credibility. As Lyric Jain, founder and CEO of Logically, said, toxic news is moving faster than the truth. Our world urgently needs a way to distinguish truth from fiction in our news and public, political and economic discussions, and artificial intelligence will help us do that.
The Fake News “Infodemic”
People are inundated with information every day. Every minute 98,000 tweets, 160 million emails are sent and 600 videos are uploaded to YouTube. Politicians. Marketers. News broadcasts. In addition, there are countless people who speak their mind because self-publishing is so easy. People crave a way to sift through all the information to find valuable nuggets to use in their own lives. They want facts, and companies often start to respond by using machine learning and AI tools.
Logically verifies the fact of fiction
To make critical decisions in life, we need facts. However, because everyone has the ability to publish information on the Internet, false news travels quickly and can have serious consequences. British start-up Logically was founded in 2017 by Lyric Jain, an alum from MIT and Cambridge. He wanted to develop a solution that combined artificial and human intelligence to verify the veracity of news, social discussions and images.
Via a free app that can be downloaded from the Apple Store or Google Play, readers can verify content by sharing an article with Logically. The company also has a Chrome browser extension that works on more than 160,000 social platforms and news sites to view news stories. The company was first deployed in the UK and India and then spread to the United States ahead of the 2020 election cycle to educate consumers and government agencies alike on facts.
How does logic work?
Logically, AI algorithms use natural language processing to understand and analyze text. The AI models label the credibility of the source of the content with a rating of low, medium, high and an article as reliable or unreliable based on comparisons of similar content from more than 100,000 sources. The algorithms not only check the content, but also metadata and images.
During India’s latest election campaign, Logically has analyzed more than 1 million articles. They found 50,000 fake. The algorithms also control content toxicity and can block profane and obscene content. This is one area where the algorithms are a little less proficient than with fact verification, where they can accidentally label tongue-in-cheek communication as toxic.
Machines are adept at analyzing content volumes quickly. They can flag questionable items for review by a human fact-checker and get smarter over time with feedback from results.
On a fact-finding mission
When there is such a great need to combat fake news to protect our communities and commerce from the damage lies can inflict, it is not hard to imagine that various innovators have stepped up to help develop solutions.
Another organization dedicated to ridding the world of misinformation is Full Fact, a team of independent fact-checkers that also develop automated fact-checking tools. Since 2015, they have been developing technology to increase their impact on fact-checking. Full Fact collects and monitors data, identifies and labels claims, and often takes the fact-checking process offline from people.
AdVerif.ai is an AI company committed to protecting users from inappropriate and deceptive content, spam and fake news. The company’s FakeRank algorithms help advertisers, publishers and ad networks moderate content and ensure adherence to company policies to ultimately protect users and keep brands’ reputation safe.
As the world’s largest social media networks are under attack for the role they play in spreading fake news, companies such as Facebook, Twitter and others will rely on technology and AI tools to help them meet the public’s demands . Facebook partnered with independent fact-checking organizations Snopes, Politifact, ABC News, and FactCheck.org to verify viral stories. They also announced initiatives such as applying machine learning and building new products to identify and mitigate the spread of false news.
As the fight against fake news becomes more sophisticated, technology leaders will continue to work on finding even better ways to separate fact from fiction and fine-tune the AI tools that can help combat disinformation. Deep learning can help automate some of the steps in the detection of fake news, according to a team of researchers from DarwinAI and the University of Waterloo in Canada. They split fact-checking into several subtasks, including booth detection where the system gets a claim on a news story plus other stories on the same topic to determine whether those other stories support or disprove the claim in the original piece.