This chapter examines some of the key dimensions and present discussions in the existing literature with respect to digital risk and inequality. This chapter addresses a wide umbrella of topics related to data, algorithms, and artificial intelligence. Numerous theoretical frameworks have been applied to the sociological study of digital risk and inequalities. Presented in this chapter are the Bourdieusian, Intersectional, and briefly, Marxian approaches. In the Special Topics section, we summarize important conversations happening about inequalities of access, knowledge, and resources within digital life and ground the presented theoretical discussions with several examples from the literature that examine digital risks and inequalities in health care, education, and within youth populations. The chapter concludes with a summary of the present gaps in the literature and areas for future research, as well as some considerations of the particular challenges and opportunities digital risk and inequality scholars may encounter.
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