This international collection explores the role of ideology in the information age, challenging the dominant ideology of the information age through examinations of its philosophical and theoretical assumptions, its images of the future, and its international dimensions.

Algorithmic Culture: How Big Data and Artificial Intelligence are Transforming Everyday Life explores the complex ways in which algorithms and big data, or algorithmic culture, are simultaneously reshaping everyday culture while perpetuating inequality and intersectional discrimination. Contributors situate issues of humanity, identity, and culture in relation to free will, surveillance, capitalism, neoliberalism, consumerism, solipsism, and creativity, offering a critique of the myriad constraints enacted by algorithms. This book argues that consumers are undergoing an ontological overhaul due to the enhanced manipulability and increasingly mandatory nature of algorithms in the market, while also positing that algorithms may help navigate through chaos that is intrinsically present in the market democracy. Ultimately, Algorithmic Culture calls attention to the present-day cultural landscape as a whole as it has been reconfigured and re-presented by algorithms.

The publication of Cultural Studies 1983 is a touchstone event in the history of Cultural Studies and a testament to Stuart Hall's unparalleled contributions. The eight foundational lectures Hall delivered at the University of Illinois in 1983 introduced North American audiences to a thinker and discipline that would shift the course of critical scholarship. Unavailable until now, these lectures present Hall's original engagements with the theoretical positions that contributed to the formation of Cultural Studies. Throughout this personally guided tour of Cultural Studies' intellectual genealogy, Hall discusses the work of Richard Hoggart, Raymond Williams, and E. P. Thompson; the influence of structuralism; the limitations and possibilities of Marxist theory; and the importance of Althusser and Gramsci. Throughout these theoretical reflections, Hall insists that Cultural Studies aims to provide the means for political change.

The publication of Cultural Studies 1983 is a touchstone event in the history of Cultural Studies and a testament to Stuart Hall's unparalleled contributions. The eight foundational lectures Hall delivered at the University of Illinois in 1983 introduced North American audiences to a thinker and discipline that would shift the course of critical scholarship. Unavailable until now, these lectures present Hall's original engagements with the theoretical positions that contributed to the formation of Cultural Studies. Throughout this personally guided tour of Cultural Studies' intellectual genealogy, Hall discusses the work of Richard Hoggart, Raymond Williams, and E. P. Thompson; the influence of structuralism; the limitations and possibilities of Marxist theory; and the importance of Althusser and Gramsci. Throughout these theoretical reflections, Hall insists that Cultural Studies aims to provide the means for political change.

Algorithmic Culture: How Big Data and Artificial Intelligence are Transforming Everyday Life explores the complex ways in which algorithms and big data, or algorithmic culture, are simultaneously reshaping everyday culture while perpetuating inequality and intersectional discrimination. Contributors situate issues of humanity, identity, and culture in relation to free will, surveillance, capitalism, neoliberalism, consumerism, solipsism, and creativity, offering a critique of the myriad constraints enacted by algorithms. This book argues that consumers are undergoing an ontological overhaul due to the enhanced manipulability and increasingly mandatory nature of algorithms in the market, while also positing that algorithms may help navigate through chaos that is intrinsically present in the market democracy. Ultimately, Algorithmic Culture calls attention to the present-day cultural landscape as a whole as it has been reconfigured and re-presented by algorithms.