In this intervention, we discuss the ongoing protest movement and the quasi-revolutionary situation in Iran with the goal of offering contextual as well as background analysis. Our objective is to examine the current wave of revolutionary politics in the frame of a longer history, that is, the one of the “unaccomplished” 1979 revolution. We do not argue that the current movement is in continuity with the so-called Islamic revolution; rather, we ask what afterlives of the 1979 revolution and successive waves of mobilizations reverberate within the current situation. We do so from a political transformative vantage point, which we understand as inherently feminist, in that we refuse to recognize any hierarchy between the struggles, the issues, and the demands as expressed by the protesters. Indeed, we understand liberation as a collective project resulting from the intersection of struggles, demands, and issues. Following this line of reasoning, we interrogate the current moment along three thematic axes: the social composition, the prospects for political convergence, and the genealogy, or the ideational connection, of the current struggle with those of the past.

A recent Wall Street Journal investigation revealed that TikTok floods child and adolescent users with videos of rapid weight loss methods, including tips on how to consume less than 300 calories a day and promoting a “corpse bride diet,” showing emaciated girls with protruding bones. The investigation involved the creation of a dozen automated accounts registered as 13-year-olds and revealed that TikTok algorithms fed adolescents tens of thousands of weight-loss videos within just a few weeks of joining the platform. Emerging research indicates that these practices extend well beyond TikTok to other social media platforms that engage millions of U.S. youth on a daily basis.

Social media algorithms that push extreme content to vulnerable youth are linked to an increase in mental health problems for adolescents, including poor body image, eating disorders, and suicidality. Policy measures must be taken to curb this harmful practice. The Strategic Training Initiative for the Prevention of Eating Disorders (STRIPED), a research program based at the Harvard T.H. Chan School of Public Health and Boston Children’s Hospital, has assembled a diverse team of scholars, including experts in public health, neuroscience, health economics, and law with specialization in First Amendment law, to study the harmful effects of social media algorithms, identify the economic incentives that drive social media companies to use them, and develop strategies that can be pursued to regulate social media platforms’ use of algorithms. For our study, we have examined a critical mass of public health and neuroscience research demonstrating mental health harms to youth. We have conducted a groundbreaking economic study showing nearly $11 billion in advertising revenue is generated annually by social media platforms through advertisements targeted at users 0 to 17 years old, thus incentivizing platforms to continue their harmful practices. We have also examined legal strategies to address the regulation of social media platforms by conducting reviews of federal and state legal precedent and consulting with stakeholders in business regulation, technology, and federal and state government.

While nationally the issue is being scrutinized by Congress and the Federal Trade Commission, quicker and more effective legal strategies that would survive constitutional scrutiny may be implemented by states, such as the Age Appropriate Design Code Act recently adopted in California, which sets standards that online services likely to be accessed by children must follow. Another avenue for regulation may be through states mandating that social media platforms submit to algorithm risk audits conducted by independent third parties and publicly disclose the results. Furthermore, Section 230 of the federal Communications Decency Act, which has long shielded social media platforms from liability for wrongful acts, may be circumvented if it is proven that social media companies share advertising revenues with content providers posting illegal or harmful content.

Our research team’s public health and economic findings combined with our legal analysis and resulting recommendations, provide innovative and viable policy actions that state lawmakers and attorneys general can take to protect youth from the harms of dangerous social media algorithms.

A response to the article by Christina Hoegen-Rohls.

This Article analyzes the 2021 judgment of the Supreme Court of Pakistan in the case of Mst. Safia Bano v. Home Department, Government of Punjab. The case has garnered significant local and international attention due to the Court’s ruling that a death sentence may not be carried out on a defendant who has a mental illness. Setting the case against the backdrop of Pakistan’s Islamic and colonial contexts, this article argues that the Supreme Court has reshaped the insanity defense in Pakistani law by placing the determination of a defendant’s mental state mainly in the hands of medical professionals. However, the Court’s reliance on medical professionals and the subsequent downplaying of the “moral capacity” element of the insanity defense—a determination of law made by courts—has created an obstacle for courts to punish offenders more stringently in future cases due to the popular belief that mental health professionals are ill-equipped to answer broader questions of justice for victims and society. The article recommends that this issue can be remedied by establishing an objective legal test for insanity that considers Islamic law, Pakistani precedent, and advances in medical science.

We often describe actions as good, bad, right, wrong, fair, unkind, deserved, disrespectful, a bit much, and so on. This article asks: Do these terms describe facts about our actions? And do those facts tell us to perform certain actions and refrain from performing others? If so, what exactly does that mean? And, if not, what are we doing when we describe actions in these various ways?