Unreliable content on Social Media: can we trust our feed?

Category:  Talks

Published:  2019-07-05

Unreliable content on Social Media: can we trust our feed?

Talks@DCC

Nuno Guimarães,  University of Porto

July, 10th, 2019

FCUP - FC6 0.29, 13:45 

Abstract

The spread of misinformation on social networks has reached concerning proportions. The scientific community as well as companies like Google, Facebook and Twitter are already tackling the problem in several fronts such as the development of methods to identify the veracity of a post automatically or detect bots that are spreading unreliable content on social media.  

In this talk, we present the state-of-the-art efforts that are being taken to solve the problem of false information on social networks. Then, we will detail on unreliable users and how their identification can be achieved. Finally, we will look at the current status of Twitter and to what extent do unreliable users affect our feed.  


Short Bio

Nuno Guimarães is currently a PhD student in Computer Science and a researcher at CRACS-INESCTEC. His PhD theme focuses on the analysis and detection of unreliable content on social networks. Previously, he was a researcher on the REMINDS project whose goal was to detect relevant information on those same platforms. Nuno completed a master's and a degree in Computer Science at the Faculty of Sciences of the University of Porto. In his master's dissertation, he developed a new unsupervised method for creating feeling lexicons that are dependent on time and domain.


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