External independent and unobtrusive algorithmic audits offer a fresh perspective for understanding AI-based algorithms used in social media and search engines. These audits enable us to measure aspects of these algorithms that are usually hidden, such as their biases in political information distribution, impact on political discourse, and potential contribution to misinformation and radicalisation. Their… Continue reading e-Symposium 2023: Algorithmic auditing of political biases in recommender systems
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e-Symposium 2023: Depoliticising Social Media? The Politics of State-Sponsored, Election-related Disinformation Studies
The talk discusses the disinformation study undertaken by the author and commissioned by the Dutch Ministry of Internal Affairs, published in 2020. It introduces the context of the concern for ‘fake news’ in Europe after the U.S. presidential elections of 2016 and the resulting wave of state-sponsored studies on disinformation prior to elections, focusing on… Continue reading e-Symposium 2023: Depoliticising Social Media? The Politics of State-Sponsored, Election-related Disinformation Studies
e-Symposium 2023: Crowding Out the Truth? A Simple Model of Misinformation, Polarization, and Meaningful Social Interactions
This paper delves into the critical role of social media in debates surrounding polarization, misinformation, and the state of democracy worldwide. It specifically examines the ranking algorithms that determine how content is presented to users on social media platforms.
e-Symposium 2023: AI and Computational Politics
Computational Politics refers to the application of Information Technologies (IT), including Data Analytics, Artificial Intelligence (AI), and Systems Theory (Cybernetics) in the realm of politics and Political Science. It’s an emerging and somewhat loosely defined field that intersects Political Science and Computer Science and Engineering. This lecture provides an overview of Computational Politics, encompassing various… Continue reading e-Symposium 2023: AI and Computational Politics
Neural Image Compression
This lecture overviews Neural Image Compression that has many applications in image storage and communications. It covers the following topics in detail: Image Compression Types, Image Compression Evaluation, Transform Image Compression, Neural Predictive Image Coding, Neural Image Autoencoding, CNN-Transformer Image Compression, RNN Image Compression, Variable Rate RNN Image Compression.
Digital Image Compression
This lecture overviews Digital Image Restoration that has many applications in scientific/medical imaging and in digital photography. It covers the following topics in detail: Inverse Filters, Wiener Filters, Wavelet Restoration, Blind Deconvolution, Color Image Restoration, Neural Image Restoration, De-Fogging and De-Raining.