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Exploring the impact of a pandemic on algorithmic transparency
The World Health Organization (WHO) has categorized COVID-19 as a pandemic. This is the first...
Collecting evidence of misinformation and disinformation on social media in the era of COVID-19
The COVID-19 pandemic has created an enormous amount of information in a very short amount of...
A comparative study of dedicated platforms vs social media platforms for recruiting crowdsourcing participants
The goal of the internship is to compare the performance of crowdsourcing platforms and social...
Image Disinformation of COVID-related informative content on the Web and Social Media
The COVID-19 pandemic has underscored the need for tools and methodologies for combating online...
EU Crowdworkers Perception of Emotion on Depicted Individuals versus the Automated Emotion Analysis in Computer Vision Algorithms
Vision-based Cognitive Services (CogS) have become crucial in a wide range of applications, from...
Prejudice Evolution in Computer Vision Algorithms through time
Vision-based Cognitive Services (CogS) have become crucial in a wide range of applications, from...
Social Stereotypes in Image Tagging Algorithms
Image analysis algorithms have been proven to reflect social stereotypes in their outputs. In our...
Analyzing the Social Behaviours of Computer Vision Algorithms
There are increasing expectations that algorithms should behave in a manner that is socially just...