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Appeared originally in Lawfare, November, 2020
Full article appears in the January/February 2021 issue of Foreign Affairs
The internet economy has produced digital platforms of enormous economic and social significance. These platforms—specifically, Google, Facebook, Amazon, Twitter, and Apple—now play central roles in how millions of Americans obtain information, spend their money, communicate with fellow citizens, and earn their livelihoods. Their reach is also felt globally, extending to many countries around the world. They have amassed the economic, social, and political influence that very few private entities have ever obtained previously.
ANTITRUST AND PRIVACY CONCERNS are two of the most high-profile topics on the tech policy agenda. Checks and balances to counteract the power of companies such as Google, Amazon, and Facebook are under consideration in Congress, though a polarized political environment is a hindrance. But a domestic approach to tech policy will be insufficient, as the users of the large American tech companies are predominantly outside the United States.
POPULAR CULTURE HAS ENVISIONED SOCIETIES of intelligent machines for generations, with Alan Turing notably foreseeing the need for a test to distinguish machines from humans in 1950. Now, advances in artificial intelligence that promise to make creating convincing fake multimedia content like video, images, or audio relatively easy for many. Unfortunately, this will include sophisticated bots with supercharged self-improvement abilities that are capable of generating more dynamic fakes than anything seen before.
IN 2016 WE LEARNED ABOUT EFFORTS BY FOREIGN ACTORS to interfere in the U.S. election by injecting misinformation and disinformation into public discourse on social media. False events and personas added to the polarization and manipulation of voters.
VOTERS ARE BEING INUNDATED WITH POLITICAL ADVERTISING on social media and online platforms during the 2020 election season. Campaigns, PACs and third parties have added new tools and tactics for gathering data on voters and targeting them with advertising, and now they can pinpoint niches of potential voters on social media in ways unknown in prior election cycles.
AS WE APPROACH THE 2020 ELECTION IN THE UNITED STATES, content moderation on social media platforms is taking center stage. From speech issues on Facebook and Twitter to YouTube videos and TikTok brigands, the current election season is being reshaped by curation concerns about what’s allowed online, what’s not, upranking and downranking, and who’s deciding.
Why did Russia's relations with the West shift from cooperation a few decades ago to a new era of confrontation today? Some explanations focus narrowly on changes in the balance of power in the international system, or trace historic parallels and cultural continuities in Russian international behavior. For a complete understanding of Russian foreign policy today, individuals, ideas, and institutions—President Vladimir Putin, Putinism, and autocracy—must be added to the analysis.
THE EMERGENCE OF A DIGITAL SPHERE where public debate takes place raises profound questions about the connection between online information and polarization, echo chambers, and filter bubbles. Does the information ecosystem created by social media companies support the conditions necessary for a healthy democracy? Is it different from other media? These are particularly urgent questions as the United States approaches a contentious 2020 election during the COVID-19 pandemic.
THE 2020 ELECTION IN THE UNITED STATES will take place on November 3 in the midst of a global pandemic, economic downturn, social unrest, political polarization, and a sudden shift in the balance of power in the U.S Supreme Court. On top of these issues, the technological layer impacting the public debate, as well as the electoral process itself, may well determine the election outcome.
Voluntary physical distancing is essential for preventing the spread of COVID-19. We assessed the role of political partisanship in individuals’ compliance with physical distancing recommendations of political leaders using data on mobility from a sample of mobile phones in 3,100 counties in the United States during March 2020, county-level partisan preferences, information about the political affiliation of state governors, and the timing of their communications about COVID-19 prevention.
This review evaluates the use of spatial models for the analysis of policymaking. First, we examine spatial theory and its applications in a variety ofinstitutional settings.
