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  • JournalArticle

    Bias in algorithmic filtering and personalization

    Online information intermediaries such as Facebook and Google are slowly replacing traditional media channels thereby partly becoming the gatekeepers of our society. To deal...
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  • JournalArticle

    Accountability for the Use of Algorithms in a Big Data Environment

    Accountability is the ability to provide good reasons in order to explain and to justify actions, decisions, and policies for a (hypothetical) forum of persons or...
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  • JournalArticle

    Algorithmic Accountability and Public Reason

    The ever-increasing application of algorithms to decision-making in a range of social contexts has prompted demands for algorithmic accountability. Accountable decision-makers...
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  • TrainingMaterial

    Social Network Analysis

    Social Network Analysis course @ Master SoBigData This course introduces students to the theories, concepts and measures of Social Network Analysis (SNA), that is aimed at...
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  • TrainingMaterial

    Social Network Analysis with Python

    This set of tutorials provides an introduction to Social Network Analysis in Python with networkx. Topics covered: Introduction to NetworkX NDlib: Network Diffusion library...
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  • TrainingMaterial

    Introduction to Data science for Social Scientists

    This course, initially designed for social scientists, covers several topics of data science. Python programming Data Cleaning and Transformation Classification Clustering...
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  • TrainingMaterial

    Can Big Data Bridge Gaps in Migration Statistics

    Traditional statistical data on international migration suffers from the problems (gaps) of inconsistency in definitions, differences in geographical coverages, absence of...
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  • TrainingMaterial

    Explaining Explanation Methods

    The most effective Artificial Intelligence (AI) systems exploit complex machine learning models to fulfill their tasks due to their high performance. Unfortunately, the most...
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  • JournalArticle

    A theoretical model for pattern discovery in visual analytics

    The word ‘pattern’ frequently appears in the visualisation and visual analytics literature, but what do we mean when we talk about patterns? We propose a practicable...
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  • JournalArticle

    A Survey of Methods for Explaining Black Box Models

    In recent years, many accurate decision support systems have been constructed as black boxes, that is as systems that hide their internal logic to the user. This lack of...
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  • ConferencePaper

    A qualitative exploration of perceptions of algorithmic fairness

    Algorithmic systems increasingly shape information people are exposed to as well as influence decisions about employment, finances, and other opportunities. In some cases,...
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  • ConferencePaper

    A Learned Approach to Quicken and Compress Rank Select Dictionaries

    We introduce the first “learned” scheme for implementing a compressed rank/select dictionary. We prove theoretical bounds on its time and space performance both in the worst...
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  • JournalArticle

    A Critical Reassessment of the Saerens-Latinne-Decaestecker Algorithm

    We critically re-examine the Saerens-Latinne-Decaestecker (SLD) algorithm, a well-known method for estimating class prior probabilities (“priors”) and adjusting posterior...
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  • JournalArticle

    AI and Big Data A blueprint for a human rights and social and ethical impact ...

    Building on studies of the collective dimension of data protection, this article sets out to embed this new perspective in an assessment model centred on human rights (Human...
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