Posts by Pavlos Efraimidis

Pavlos S. Efraimidis is an Associate Professor in Algorithms and Director of the Algorithms and Privacy Research Unit (https://euclid.ee.duth.gr). He received his PhD in Informatics in 2000 from the University of Patras under the supervision of Paul Spirakis. His main work is on algorithms and his current research interests are in the fields of algorithmic game theory and algorithmic aspects of privacy. He has published over 35 refereed technical papers and book chapters, and has participated in 11 national and European research projects. His professional experience includes working as a researcher for the Computer Technology Institute (http://www.cti.gr/), and as a computer engineer in the high performance computing field (Parsytec Computer GmbH, Aachen, Germany) and the financial sector (ASYK - Athens Stock Exchange, Athens, Greece).

Software that can automatically detect fake news

Invented stories, distorted facts: fake news is spreading like wildfire on the internet and is often shared on without thought, particularly on social media. In response, Fraunhofer researchers have developed a system that automatically analyzes social media posts, deliberately filtering out fake news and disinformation. To do this, the tool analyzes both content and metadata, classifying it using machine learning techniques and drawing on user interaction to optimize the results as it goes.

Source: Software that can automatically detect fake news

On Twitter, limited number of characters spreading fake info

WASHINGTON (AP) — A tiny fraction of Twitter users spread the vast majority of fake news in 2016, with conservatives and older people sharing misinformation more, a new study finds. Scientists examined more than 16,000 U.S. Twitter accounts and found that 16 of them — less than one-tenth of 1 percent — tweeted out nearly 80 percent of the misinformation masquerading as news, according to a study Thursday in the journal Science . About 99 percent of the Twitter users spread virtually no fake information in the most heated part of the election year, said study co-author David Lazer, a Northeastern University political and computer science professor.

Source: On Twitter, limited number of characters spreading fake info