A new tool called Hoaxy lets you search for terms and articles, and shows you how claims spread on Twitter as well as efforts to fact-check them.
“In the past year, the influence of fake news in the US has grown from a niche concern to a phenomenon with the power to sway public opinion,” says Filippo Menczer, a professor at the Indiana University School of Informatics and Computing. “We’ve now even seen examples of fake news inspiring real-life danger, such as the gunman who fired shots in a Washington, DC, pizza parlor in response to false claims of child trafficking.”
In response to the growth of fake news, several major web services are making changes to curtail the spread of false information on their platforms. Google and Facebook recently banned the use of their advertisement services on websites that post fake news, for example. Facebook also rolled out a system last week through which users can flag stories they suspect are false, which are then referred to third-party fact-checkers.
Giovanni Luca Ciampaglia, a research scientist at the university’s Network Science Institute, coordinated the Hoaxy project with Menczer. Ciampaglia says a user can now enter a claim into the service’s website and see results that show both incidents of the claim in the media and attempts to fact-check it by independent organizations such as snopes.com, politifact.com, and factcheck.org.
These results can then be selected to generate a visualization of how the articles are shared across social media.
How Hoaxy works
The site’s search results display headlines that appeared on sites known to publish inaccurate, unverified, or satirical claims based upon lists compiled and published by reputable news and fact-checking organizations.
A search of the terms “cancer” and “cannabis,” for example, turns up multiple claims that cannabis has been found to cure cancer, a statement whose origins have been roundly debunked by the reputable fact-checking website snopes.com. A search of social shares of articles that make the claim, however, shows a clear rise in people sharing the story, with under 10 claims in July rising to hundreds by December.
Specifically, Ciampaglia says, Hoaxy’s visualizations illustrate both temporal trends and diffusion networks as they relate to online claims and fact-checks. Temporal trends plot the cumulative number of Twitter shares over time. Diffusion networks show how claims spread from person to person. Twitter is currently the only social network tracked by Hoaxy, and only publicly posted tweets appear in the visualizations.
“Importantly, we do not decide what is true or false,” Menczer says. “Not all claims you can visualize on Hoaxy are false, nor are we saying that the fact-checkers are 100 percent correct all of the time. Hoaxy is a tool to observe how unverified stories and the fact-checking of those stories spread on public social media. It’s up to users to evaluate the evidence about a claim and its rebuttal.”
Growing influence of fake news
Menczer’s interest in fake news began over seven years ago. In an experiment reported in a paper titled “Social Spam Detection,” he created a website of fake celebrity news clearly marked as false and promoted the articles on social bookmarking websites, which were popular at the time. After a month, Menczer was shocked to receive a check based on ad revenue from the site.
“That early experiment demonstrated the power of the internet to monetize false information,” he says. “I didn’t expect at the time that the problem would reach the level of national debate.”
In the years since the experiment, however, the volume and influence of fake news have expanded across the web from sources as disparate as satirical websites, ideologically motived organizations, and Macedonian teenagers working to rake in advertising dollars.
“If we want to stop the growing influence of fake news in our society, first we need to understand the mechanisms behind how it spreads,” Menczer says. “Tools like Hoaxy are an important step in the process.”
Menczer is also a member of the IU Network Science Institute, a project partner that contributed support to Hoaxy. Other researchers on the project were Chengcheng Shao, a visiting doctoral student, and graduate students Lei Wang and Gregory Maus, all of the IU School of Informatics and Computing.
This text is published here under a Creative Commons License.
Author: Kevin Fryling-Indiana University
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