An algorithm-based system that identifies telltale linguistic cues in fake news stories could provide news aggregator and social media sites like Google News with a new weapon in the fight against misinformation.
The University of Michigan researchers who developed the system have demonstrated that it’s comparable to and sometimes better than humans at correctly identifying fake news stories.
In a recent study, it successfully found fakes up to 76 percent of the time, compared to a human success rate of 70 percent. In addition, their linguistic analysis approach could be used to identify fake news articles that are too new to be debunked by cross-referencing their facts with other stories.
Rada Mihalcea, the U-M computer science and engineering professor behind the project, said an automated solution could be an important tool for sites that are struggling to deal with an onslaught of fake news stories, often created to generate clicks or to manipulate public opinion.
Catching fake stories before they have real consequences can be difficult, as aggregator and social media sites today rely heavily on human editors who often can’t keep up with the influx of news. In addition, current debunking techniques often depend on external verification of facts, which can be difficult with the newest stories. Often, by the time a story is proven a fake, the damage has already been done.
Linguistic analysis takes a different approach, analyzing quantifiable attributes like grammatical structure, word choice, punctuation and complexity. It works faster than humans and it can be used with a variety of different news types.
“You can imagine any number of applications for this on the front or back end of a news or social media site,” Mihalcea said. “It could provide users with an estimate of the trustworthiness of individual stories or a whole news site. Or it could be a first line of defense on the back end of a news site, flagging suspicious stories for further review. A 76 percent success rate leaves a fairly large margin of error, but it can still provide valuable insight when it’s used alongside humans.”
Linguistic algorithms that analyze written speech are fairly common today, Mihalcea said. The challenge to building a fake news detector lies not in building the algorithm itself, but in finding the right data with which to train that algorithm.
Fake news appears and disappears quickly, which makes it difficult to collect. It also comes in many genres, further complicating the collection process. Satirical news, for example, is easy to collect, but its use of irony and absurdity make it less useful for training an algorithm to detect fake news that’s meant to mislead.
Ultimately, Mihalcea’s team created its own data, crowdsourcing an online team that reverse-engineered verified genuine news stories into fakes. This is how most actual fake news is created, Mihalcea said, by individuals who quickly write them in return for a monetary reward.
Study participants, recruited with the help of Amazon Mechanical Turk, were paid to turn short, actual news stories into similar but fake news items, mimicking the journalistic style of the articles. At the end of the process, the research team had a dataset of 500 real and fake news stories.
They then fed these labeled pairs of stories to an algorithm that performed a linguistic analysis, teaching itself distinguish between real and fake news. Finally, the team turned the algorithms to a dataset of real and fake news pulled directly from the web, netting the 76 percent success rate.
The details of the new system and the dataset that the team used to build it are freely available, and Mihalcea says they could be used by news sites or other entities to build their own fake news detection systems. She says that future systems could be further honed by incorporating metadata such as the links and comments associated with a given online news item.
Receive an email update when we add a new FAKE NEWS article.
The Latest on: Fake news
via Google News
The Latest on: Fake news
- Fake news in Turkey: Hunting for truth in land of conspiracy on November 14, 2018 at 4:57 pm
A headscarved woman whose baby was kicked while she was urinated on by anti-government demonstrators. Veteran political activist Noam Chomsky championing President Erdogan in a newspaper interview. Ph... […]
- Could this be the cure for fake news? on November 14, 2018 at 4:06 pm
For decades, medicine has provided us with an easy way to prevent diseases: vaccines. Most of us are familiar with how a vaccine works – it exposes our bodies to weakened versions of a virus to help u... […]
- Your smartphone photos are totally fake — and you love it on November 14, 2018 at 12:41 pm
The little camera on this phone has a superpower: It can see things our eyes cannot. At night for the past few weeks, I’ve been tromping around dark places taking photos using a new mode on Google’s $... […]
- Sebastian Stan Says ‘Avengers’ Cast Filmed Fake Scenes on November 14, 2018 at 7:31 am
The secrecy surrounding “Avengers 4” is at an all-time high with even the title still being withheld. The “Avengers: Infinity War” press tour featured stories of fake scripts and intense non-disclosur... […]
- Ford and Walmart to use fake autonomous delivery cars — to test driverless future on November 14, 2018 at 7:04 am
Ford Motor Co. is pairing up with Walmart, the world's largest retailer, to begin laying the groundwork for a driverless grocery delivery service. The two companies will test out the concept as part o... […]
- Fake news: Can teenagers spot it? on November 14, 2018 at 3:40 am
Fake news, misinformation, clickbait - whatever you choose to call it, it is one of the scourges of our times. If we are to make it less of a threat to democracy, that effort is going to need to start ... […]
- In Egypt, fake news becomes weapon of choice to crush dissent on November 14, 2018 at 3:01 am
In Egypt, a growing list of dissidents are prosecuted under a new law criminalising the spreading of fake news. The government says it is trying to fight rumours that destabilise the country. Sally Na... […]
- Over 600,000 Americans followed fake Russia-linked Instagram accounts that were detected days before the midterms on November 13, 2018 at 1:01 pm
Over 600,000 Americans followed a series of fake Instagram and Facebook accounts suspected to be linked to Russia that were detected and removed just days before the 2018 midterms. On November 5 — the ... […]
- Facebook: Fake Instagram accounts used Trump, Kanye and social issues to target voters on November 13, 2018 at 12:00 pm
SAN FRANCISCO – Facebook on Tuesday revealed more details about the fake Russian-linked Instagram accounts that posted politically divisive content on race and gender and on public figures such as Pre... […]
via Bing News