From baby pictures in the cloud to a high school's digital surveillance system: how adults unwittingly compromise children's privacy online. Our children's first digital footprints are made before they can walk—even before they are born—as parents use fertility apps to aid conception, post ultrasound images, and share their baby's hospital mug shot. Then, in rapid succession come terabytes of baby pictures stored in the cloud, digital baby monitors with built-in artificial intelligence, and real-time updates from daycare. When school starts, there are cafeteria cards that catalog food purchases, bus passes that track when kids are on and off the bus, electronic health records in the nurse's office, and a school surveillance system that has eyes everywhere. Unwittingly, parents, teachers, and other trusted adults are compiling digital dossiers for children that could be available to everyone—friends, employers, law enforcement—forever. In this incisive book, Leah Plunkett examines the implications of “sharenthood”—adults' excessive digital sharing of children's data. She outlines the mistakes adults make with kids' private information, the risks that result, and the legal system that enables “sharenting.” Plunkett describes various modes of sharenting—including “commercial sharenting,” efforts by parents to use their families' private experiences to make money—and unpacks the faulty assumptions made by our legal system about children, parents, and privacy. She proposes a “thought compass” to guide adults in their decision making about children's digital data: play, forget, connect, and respect. Enshrining every false step and bad choice, Plunkett argues, can rob children of their chance to explore and learn lessons. The Internet needs to forget. We need to remember.

How parenting became a verb, from Dr. Spock and June Cleaver to baby whispering and free-range kids. When did “parenting” become a verb? Why is it so hard to parent, and so rife with the possibility of failure? Sitcom families of the past—the Cleavers, the Bradys, the Conners—didn’t seem to lose any sleep about their parenting methods. Today, parents are likely to be up late, doomscrolling on parenting websites. In Long Days, Short Years, Andrew Bomback—physician, writer, and father of three young children—looks at why it can be so much fun to be a parent but, at the same time, so frustrating and difficult to parent. It’s not a “how to” book (although Bomback has read plenty of these) but a “how come” book, investigating the emergence of an immersive, all-in approach to raising children that has made parenting a competitive (and often not very enjoyable) sport. Drawing on parenting books, mommy blogs, and historical accounts of parental duties as well as novels, films, podcasts, television shows, and his own experiences as a parent, Bomback charts the cultural history of parenting as a skill to be mastered, from the laid-back Dr. Spock’s 1950s childcare bible—in some years outsold only by the actual Bible—to the more rigid training schedules of Babywise. Along the way, he considers the high costs of commercialized parenting (from the babymoon on), the pressure on mothers to have it all (and do it all), scripted parenting as laid out in How to Talk So Kids Will Listen, parenting during a pandemic, and much more.

An essential guide for parents navigating the new frontier of hyper-connected kids. Today's teenagers spend about nine hours per day online. Parents of this ultra-connected generation struggle with decisions completely new to parenting: Should an eight-year-old be allowed to go on social media? How can parents help their children gain the most from the best aspects of the digital age? How can we keep kids safe from digital harm? John Palfrey and Urs Gasser bring together over a decade of research at Harvard to tackle parents' most urgent concerns. The Connected Parent is required reading for anyone trying to help their kids flourish in the fast-changing, uncharted territory of the digital age.

An exploration of how heteronormative bias is deeply embedded in the internet, hidden in algorithms, keywords, content moderation, and more. A Next Big Idea Club nominee. In The Digital Closet, Alexander Monea argues provocatively that the internet became straight by suppressing everything that is not, forcing LGBTQIA+ content into increasingly narrow channels—rendering it invisible through opaque algorithms, automated and human content moderation, warped keywords, and other strategies of digital overreach. Monea explains how the United States’ thirty-year “war on porn” has brought about the over-regulation of sexual content, which, in turn, has resulted in the censorship of much nonpornographic content—including material on sex education and LGBTQIA+ activism. In this wide-ranging, enlightening account, Monea examines the cultural, technological, and political conditions that put LGBTQIA+ content into the closet. Monea looks at the anti-porn activism of the alt-right, Christian conservatives, and anti-porn feminists, who became strange bedfellows in the politics of pornography; investigates the coders, code, and moderators whose work serves to reify heteronormativity; and explores the collateral damage in the ongoing war on porn—the censorship of LGBTQ+ community resources, sex education materials, art, literature, and other content that engages with sexuality but would rarely be categorized as pornography by today’s community standards. Finally, he examines the internet architectures responsible for the heteronormalization of porn: Google Safe Search and the data structures of tube sites and other porn platforms. Monea reveals the porn industry’s deepest, darkest secret: porn is boring. Mainstream porn is stuck in a heteronormative filter bubble, limited to the same heteronormative tropes, tagged by the same heteronormative keywords. This heteronormativity is mirrored by the algorithms meant to filter pornographic content, increasingly filtering out all LGBTQIA+ content. Everyone suffers from this forced heteronormativity of the internet—suffering, Monea suggests, that could be alleviated by queering straightness and introducing feminism to dissipate the misogyny.

Is it okay to share details about my child's life on social media? What kinds of pictures should I avoid posting? Am I taking away my kids' ownership over their future online footprint? In the digital age, parenting has evolved into a new dimension, with social media becoming an integral part of our daily lives. In Growing Up Shared, Stacey Steinberg delves into the complex landscape of social media sharing and offers advice for parents who want to embrace the benefits of technology while safeguarding their family's privacy. Steinberg presents a balanced perspective on the positive aspects of social media, empowering parents to foster genuine connections and build an online community of support. Uncover innovative ways to use social platforms responsibly, and gain valuable insights into the impact of online sharing on your children's digital footprints. With Growing Up Shared, you'll discover: Proven strategies to safeguard your family's privacy in a no-privacy world. How to set healthy boundaries and establish a safe digital environment for your children. Tips for cultivating a positive online presence that aligns with your family's values. Navigating challenges like cyberbullying, oversharing, and the potential consequences of social media posts. Techniques for fostering open conversations with your kids about online safety and responsible sharing. Incorporating real-life stories and expert guidance, Growing Up Shared sheds light on the crucial intersection of parenting and social media. Empower yourself to make informed decisions that prioritize your family's well-being in the digital age.

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.

A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism. Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In Data Feminism, Catherine D'Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought. Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever “speak for themselves.” Data Feminism offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed.