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Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Table of Contents -- List of figures -- List of contributors -- Series Preface: Algorithms and Society -- Volume introduction -- Acknowledgment -- 1 From "Diversity" to "Discoverability": Platform Economy, Algorithms and the Transformations of Cultural Policies -- 2 Modern Mathemagics: Values and Biases in Tech Culture -- 3 Reading the Cards: Critical Chatbots, Tarot and Drawing as an Epistemological Repositioning to Defend against the Neoliberal Structures of Art Education -- Index.

A proposal that we think about digital technologies such as machine learning not in terms of artificial intelligence but as artificial communication. Algorithms that work with deep learning and big data are getting so much better at doing so many things that it makes us uncomfortable. How can a device know what our favorite songs are, or what we should write in an email? Have machines become too smart? In Artificial Communication, Elena Esposito argues that drawing this sort of analogy between algorithms and human intelligence is misleading. If machines contribute to social intelligence, it will not be because they have learned how to think like us but because we have learned how to communicate with them. Esposito proposes that we think of "smart" machines not in terms of artificial intelligence but in terms of artificial communication. To do this, we need a concept of communication that can take into account the possibility that a communication partner may be not a human being but an algorithm—which is not random and is completely controlled, although not by the processes of the human mind. Esposito investigates this by examining the use of algorithms in different areas of social life. She explores the proliferation of lists (and lists of lists) online, explaining that the web works on the basis of lists to produce further lists; the use of visualization; digital profiling and algorithmic individualization, which personalize a mass medium with playlists and recommendations; and the implications of the "right to be forgotten." Finally, she considers how photographs today seem to be used to escape the present rather than to preserve a memory.

'Social Aspects of Care' provides an overview of financial and mental stress illness places, not just on the patient, but on the family as well. This volume contains information on how to support families in palliative care, cultural considerations important in end-of-life care, sexuality and the impact of illness, planning for the actual death, and bereavement

"Argues that what makes AI socially relevant and useful is not intelligence at all but something even more human: communication. If machines are going to improve their ability to address ever more important human issues, it will not be because they have learned to think like people, but because we have learned to communicate with them"--

Intro -- Half Title -- Series Page -- Title Page -- Copyright Page -- Dedication -- Contents -- Introduction: Subjectivity redundant -- 1. Can algorithmic knowledge be critical? -- Algorithms and you -- Know thyself -- Algorithmic knowledge and human interests -- The performance of algorithmic knowledge -- Subjectivity, algorithms, and privacy -- Interface algorithms -- Subjectivity redundant -- Note -- References -- 2. How algorithms think about humans? -- Media epistemes and the changing conception of the individual -- Seeing the audience in the mass media: The scientific episteme -- Seeing the audience in digital media: The algorithmic episteme -- I User-generated data -- II Inter-connected platforms -- III Algorithms -- Turning data into self: How algorithms see people -- Conclusion: Toward a post-social conception of the individual -- References -- 3. Can algorithms tell us who we are? -- Know thyself, or let algorithms do so -- The selfish ledger: Decoding the self -- The epistemology of the selfish ledger: A summary -- Self, media, knowledge: A historical view -- The personal diary -- Audience and subjectivity: Knowing the self by means of presenting -- Protestantism as an impetus to know -- Between the ledger and the diary -- Conclusion: Knowledge without subjects -- Notes -- References -- 4. Can algorithms make aesthetic judgments? -- Recommendation engines: Automating aesthetic judgment -- Algorithms in culture: Between technical neutrality and political worldview -- Aesthetic judgment and recommendation engines -- I Aesthetic judgment as objective -- II Aesthetic judgment as individualistic -- Arendt's conception of aesthetic judgment and culture -- Conclusion -- References -- 5. Do algorithms have a right to the city? -- Roads, traffic, and spatial politics -- Algorithmic spatiality -- Upholding residents' privileged right to the city.

This study is devoted to analyzing the capabilities of machine learning algorithms in the context of predicting social change. The main objective of the work is to evaluate the effectiveness and accuracy of various machine learning models, including artificial neural networks, decision trees and clustering methods, for analyzing so-cial data and predicting relevant trends. The research methodology includes data collection and preprocessing, training models based on selected algorithms, and evaluating their performance using standard metrics such as accuracy, completeness, and F1-measure. The results demonstrate that the application of machine learning can not only identify current social trends, but also predict future social changes with reasonable probability. The paper also discusses potential limitations related to data availability and quality, as well as ethical consid-erations for the use of algorithmic methods in the social sciences. It concludes by suggesting directions for fur-ther research, including improving the interpretability of models and enhancing multidisciplinary collaboration to better understand social processes.