Will Machine Learning Supercharge Online Disinformation?

External News Details

Nunn Security Program Fellow and Electrical and Computer Engineering Ph.D. student Matt O'Shaughnessy was published in collaboration with The Cipher Brief. He addresses how Machine Learning tools affect the creation, spread, and effectiveness of disinformation in the article.

Excerpt:

The most effective defenses ... are likely to be nontechnical. Research has indicated that education teaching information literacy and emphasizing the importance of shared democratic values can be effective in mitigating the psychological effects of disinformation. Alarmingly, domestic actors in the U.S. and Europe are undermining the very institutions — academia, independent press, and government — that create the shared truth critical to blunting the impact of disinformation. Most fundamentally, the increasing sophistication of disinformation will require that citizens in liberal democracies become more sophisticated consumers of information.

Read the article on The Cipher Brief. 

Additional Information

Groups

Sam Nunn School of International Affairs

Categories
Student Research, Policy, Social Sciences, and Liberal Arts
Keywords
machine learning, disinformation, Sam Nunn Security Fellowship Program, Ivan Allen College of Liberal Arts; Sam Nunn School of International Affairs
Status
  • Created By: jpalacios9
  • Workflow Status: Published
  • Created On: Oct 5, 2020 - 10:40am
  • Last Updated: Oct 5, 2020 - 10:40am