Left Menu
Development News Edition

Researchers at MIT develop new ML system to combat fake news

Devdiscourse News Desk | New York | Updated: 06-10-2018 20:39 IST | Created: 06-10-2018 18:10 IST
Researchers at MIT develop new ML system to combat fake news
The researchers believe that the best approach is to focus not on the factuality of individual claims but on the news sources themselves.

To combat fake news, a team of Massachusetts Institute of Technology (MIT) researchers have developed a new Machine Learning (ML) system that helps to determine whether a news source is accurate or biased.

The researchers believe that the best approach is to focus not on the factuality of individual claims but on the news sources themselves.

"If a website has published fake news before, there's a good chance they'll do it again. By automatically scraping data about these sites, the hope is that our system can help figure out which ones are likely to do it in the first place," said lead author Ramy Baly from MIT's Computer Science and Artificial Intelligence Lab (CSAIL).

The system needs only about 150 articles to reliably detect if a news source can be trusted, suggests the study be presented at the 2018 Empirical Methods in Natural Language Processing (EMNLP) conference in Brussels.

For the study, the researchers from MIT and the Qatar Computing Research Institute (QCRI), took data from Media Bias/Fact Check (MBFC) -- a website with human fact-checkers who analyse the accuracy and biases of more than 2,000 news sites, from MSNBC and Fox News to low-traffic content farms.

The team then fed that data to an ML algorithm called a Support Vector Machine (SVM) classifier, and programmed it to classify news sites the same way as MBFC.

When given a new news outlet, the system was 65 per cent accurate at detecting whether it has a high, low or medium level of "factuality", and roughly 70 per cent accurate in detecting if it is left-leaning, right-leaning or moderate.

The team determined that the most reliable ways to detect both fake news and biased reporting were to look at the common linguistic features across the source's stories, including sentiment, complexity and structure.

For example, fake news outlets were found to be more likely to use language that is hyperbolic, subjective and emotional.

In terms of bias, left-leaning outlets were more likely to have language that related to concepts of harm/care and fairness/reciprocity, compared to other qualities such as loyalty, authority and sanctity.

(With inputs from agencies.)



China: A savior for emerging markets or a poison pill?

... ...

Future of Urban Planning: Artificial Intelligence guiding the way

Advances in emerging technologies like Artificial Intelligence and Machine Learning can help us understand our cities better and derive useful insights from real-time data collected through automated models....


Latest News

India strongly condemns attack on convoy of UN Mission in Mali

India on Friday strongly condemned the attack on the convoy of the UN Multidimensional Integrated Stabilization Mission in Mali MINUSMA, according to the Ministry of External Affairs MEA. The attack took place on January 13 in the Timbuktu ...

Haryana govt plans to set up film city: CM

Haryana Chief Minister Manohar Lal Khattar on Friday said the state government is formulating a plan to open a film city in the state for which land spanning 50 to 100 acres has been finalised.Besides, a state-level award will be given to H...

Mumbai sees 574 COVID-19 cases, 8 deaths, 793 recoveries

The number of COVID-19 cases inMumbai increased by 574 on Friday to reach 3,01,652, whileeight deaths took the toll to 11,227, a Brihanmumbai MunicipalCorporation official said.The number of active cases, however, stands at 7,104,he added.W...

Biden chief of staff Klain says he expects 500,000 U.S. COVID-19 deaths next month

U.S. President-elect Joe Bidens incoming chief of staff Ron Klain said on Friday he expects the United States to hit 500,000 COVID-19 deaths next month.Klain made the comment in an online interview with the Washington Post.Klain added that ...

Give Feedback