Fake News is a huge and growing problem for elections, as demonstrated recently in the US. But fake news and false facts have been growing in every sector through social media. With active disinformation campaigns on the rise, and simplification of news items backed by increasing volumes of “fact bites” in an anarchic global conversation, determining what is true and what is false is not only extremely critical, it is also extraordinarily difficult.
AI has been cited as a possible route to fact checking in this environment, but this is now being understood as a potentially monumental task. There are routes to success, but they will require a close examination of false data and false narratives, a deeper understanding of underlying mechanisms, and a willingness to examine the meaning of “truth.”
Pushing the frontiers of Fake News may, in the last analysis, demand a General Artificial Intelligence. It could even lead to a tipping point in the creation of artificial understanding.
Here are a set of videos discussing this subject, all with the standard YouTube license; they have been provided along with their explanatory material to provide context.
Fake News Challenge on WTAE Pittsburgh (Dean Pomerleau)
WTAE Pittsburgh reporter Michelle Wright interviews Dr. Dean Pomerleau of Carnegie Mellon University on his effort to fix the problem of fake news via a competition called the “Fake News Challenge”.
What started out as a bet with some friends has grown to become a large effort by teams of volunteers around the world, who will be competing to combine AI, machine learning and natural language processing to build systems that can help to identify fake news stories.
Pomerleau hopes the challenge will help to restore credibility to news organizations and civility to on-line discourse by quickly identify fake news, hoaxes & propaganda.
The results of the Fake News Challenge could be used by Facebook, social media companies, news outlets or fact checkers to quickly identify and stop the spread of fake news.
Tech&Check: The Future of Automated Fact-Checking (ThePoynterInstitute)
Published on Apr 4, 2016
“Tech & Check” co-hosted by the Duke Reporters’ Lab and Poynter’s International Fact-Checking Network was the first conference to explore the promise, challenges of automated fact-checking.
How Bots are Automating Fact-Checking (SXSW 2017)
Published on Mar 17, 2017
As news organizations and researchers explore how they can automate journalism, fact-checkers are breaking new ground with some intriguing experiments. At the University of Texas at Arlington, computer scientists have built ClaimBuster, a tool that can do the work of a dozen college interns by sifting through massive amounts of text to find claims to fact-check. At Duke, researchers have created iCheck, which automates the time-consuming process of checking claims about a candidate’s voting record. These and other tools show promising new ways that fact-checking can be automated. Also on the horizon: instant “pop-up” fact-checking on live TV.
AI Can Tell Real News from the Fake (Infosys)
Published on Mar 19, 2017
People who get their news from social media sites are particularly susceptible to fake news. Often times readers don’t even realize that what appears on social media may not be legitimate news. It is time for large news platforms to assess the current situation, and figure out which AI-enabled security technology could best be wrapped around their proprietary, consumer-facing offerings. Not only should content providers be proactive about protecting the authenticity of information on their platforms, there is also a need to acknowledge that for IoT to succeed, they must have robust security measures in place that are powered by AI.