Chapter 28 Further Reading: The Modern Data-Driven Campaign

Foundational Books

Sasha Issenberg, The Victory Lab: The Secret Science of Winning Campaigns (2012) The essential popular account of how political science research on voter persuasion and mobilization was absorbed into campaign practice. Issenberg traces the arc from academic experiments to the 2008 Obama campaign with narrative clarity and impressive access. Indispensable background for anyone studying modern campaign analytics. His account of the development of Catalist and VAN remains the best narrative history of Democratic data infrastructure.

Daniel Kreiss, Taking Our Country Back: The Crafting of Networked Politics from Howard Dean to Barack Obama (2012) A sociological account of how the Democratic Party built its digital and data infrastructure through the 2000s. Kreiss focuses on the organizational and institutional dimensions — who built the tools, how campaigns learned from each other, and how Democratic data infrastructure became the shared ecosystem it is today. Complements Issenberg's more individual-focused narrative.

Rasmus Kleis Nielsen, Ground Wars: Personalized Communication in Political Campaigns (2012) An ethnographic study of how campaigns actually use their data infrastructure on the ground — what canvassers actually do with their lists, how field organizers interact with targeting systems, and where the gap between analytical design and operational reality is widest. Essential for understanding how data-driven campaigns work in practice rather than in theory.

Academic Articles

Nickerson, David W., and Todd Rogers. "Political Campaigns and Big Data." Journal of Economic Perspectives 28, no. 2 (2014): 51–74. An accessible academic review of how campaigns use large datasets for targeting and voter contact. Covers the voter file ecosystem, modeling approaches, and the experimental evidence on what targeted outreach achieves. A good bridge between the popular literature and the technical research.

Hersh, Eitan D. Hacking the Electorate: How Campaigns Perceive Voters (Cambridge University Press, 2015) A systematic study of what data campaigns actually have and how they use it — including the significant discrepancies between voter file information and actual voter characteristics. Hersh's key argument is that campaigns perceive voters through the lens of available data, which shapes (and distorts) their understanding of the electorate. Essential reading on the limits of voter file-based inference.

Karpf, David. "Digital Politics After Trump." Annals of the American Academy of Political and Social Science 659, no. 1 (2015): 33–42. An analysis of how digital campaigning and data-driven practice have evolved since the Obama era, with attention to the specific features of Republican and Democratic digital infrastructure.

On the Obama Campaign

Scherer, Michael. "Inside the Secret World of the Data Crunchers Who Helped Obama Win." Time, November 7, 2012. The original major profile of the Cave analytics operation. Scherer's account, based on post-election access, remains the best single journalistic description of how the 2012 Obama data operation worked and what it produced. Available online.

Issenberg, Sasha. "A More Perfect Union: How President Obama's Campaign Used Big Data to Rally Individual Voters." MIT Technology Review, December 19, 2012. Complements the Scherer Time piece with additional technical detail about specific analytical innovations including the Optimizer.

On Data Vendors and Infrastructure

Green, Donald P., and Lynn Vavreck. "Analysis of Cluster-Randomized Field Experiments: A Comparison of Alternative Estimation Approaches." Political Analysis 16, no. 2 (2008): 138–152. While primarily a methods paper, this article provides insight into how the experimental data that vendors like Catalist use to build their models was originally generated. Connects the campaign data ecosystem to the experimental political science literature examined in Chapter 30.

Holman, Mirya R., and Anna Mahoney. "Stop, Collaborate, and Listen: Women's Collaboration in US State Legislatures." Legislative Studies Quarterly 43, no. 2 (2018). — Note: For vendor-specific research, see Catalist's own published research notes, which include regular reports on voter file match rates, modeling accuracy, and demographic trends. Available at catalist.us.

On Campaign Failures and Limits

Sides, John, Michael Tesler, and Lynn Vavreck. Identity Crisis: The 2016 Presidential Campaign and the Battle for the Meaning of America (2018) The most rigorous academic analysis of the 2016 election, which provides context for understanding what the Clinton campaign's data operation missed and why. The authors' focus on identity politics and group attitudes complements campaign analytics accounts.

Cohn, Nate. "The Polls Were Wrong, but Not the Way You Think." New York Times, November 9, 2016. Cohn's immediate post-election analysis of where 2016 polling models failed, with implications for the predictive models that informed Clinton's data operation. A useful complement to the fuller accounts published subsequently.

Digital Resources

Blue Labs and TargetSmart both publish research notes and methodology papers through their websites that provide insight into current voter file enrichment techniques and modeling approaches. Practitioners find these useful for understanding what commercial data products actually measure.

The Analyst Institute (analystinstitute.org) is a research consortium that produces rigorous evaluations of voter contact techniques, including both experimental and quasi-experimental analyses. Its research is particularly useful for understanding what the evidence actually shows about the effectiveness of specific campaign tactics.

MIT Election Data Science Lab (electionlab.mit.edu) maintains databases of election results, voter file access laws by state, and research on electoral administration. Useful for understanding the legal and administrative context of voter file access.

On the Ethical Dimensions

Kreiss, Daniel, and Shannon C. McGregor. "Technology Firms Shape Political Communication: The Work of Microsoft, Facebook, Twitter, and Google with Political Parties and Candidates in the 2016 U.S. Presidential Election." Political Communication 35, no. 2 (2018): 155–177. Examines how technology platforms embed themselves in campaign data operations and the implications for understanding who controls campaign data infrastructure. A useful bridge between Chapter 28's campaign focus and Chapter 38's ethics focus.

Hersh, Eitan D., and Brian F. Schaffner. "Targeted Campaign Appeals and the Value of Ambiguity." Journal of Politics 75, no. 2 (2013): 520–534. Examines how voters respond to targeted appeals — including whether they find personalized messaging more or less credible than broadcast messaging. Connects campaign analytics practice to the political behavior literature.