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Improving Electoral Integrity with Information and Communications Technology

  • Michael Callen (a1), Clark C. Gibson (a2), Danielle F. Jung (a3) and James D. Long (a4)
Abstract
Abstract

Irregularities plague elections in developing democracies. The international community spends hundreds of millions of dollars on election observation, with little robust evidence that it consistently improves electoral integrity. We conducted a randomized control trial to measure the effect of an intervention to detect and deter electoral irregularities employing a nation-wide sample of polling stations in Uganda using scalable information and communications technology (ICT). In treatment stations, researchers delivered letters to polling officials stating that tallies would be photographed using smartphones and compared against official results. Compared to stations with no letters, the letters increased the frequency of posted tallies by polling center managers in compliance with the law; decreased the number of sequential digits found on tallies – a fraud indicator; and decreased the vote share for the incumbent president in some specifications. Our results demonstrate that a cost-effective citizen and ICT intervention can improve electoral integrity in emerging democracies.

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G. Becker 1968. “Crime and Punishment: An Economic Approach.” Journal of Political Economy 76: 169217.

G. Becker , and G. Stigler . 1974. “Law Enforcement, Malfeasance, and Compensation of Enforcers.” Journal of Legal Studies 3 (1): 118.

M. Björkman , and J. Svensson . 2009. “Power to the People: Evidence from a Randomized Field Experiment on Community-Based Monitoring in Uganda.” Quarterly Journal of Economics 124 (2): 735–69.

R. Bond , C. Fariss , J. Jones , A. Kramer , C. Marlow , and J. Settle . 2012. “A 61-million-person Experiment in Social Influence and Political Mobilization.” Nature 489 (7415): 295–98.

M. Callen , and J. D. Long . 2015. “Institutional Corruption and Election Fraud: Evidence from a Field Experiment in Afghanistan.” American Economic Review 105 (1): 354–81.

J. Cohen 2008. “Uganda Confronts Corruption, Slowly.” Science 321 (5888): 522–25.

R. Enikolopov , V. Korovkin , M. Petrova , K. Sonin , and A. Zakharov . 2013. “Field Experiment Estimate of Electoral Fraud in Russian Parliamentary Elections.” Proceedings of the National Academy of Sciences of the United States of America 110 (2): 448–52.

C. Ferraz , and F. Finan . 2008. “Exposing Corrupt Politicians: The Effect of Brazil's Publicly Released Audits on Electoral Outcomes.” Quarterly Journal of Economics 123 (2): 703–45.

S. Hyde 2011. The Pseudo-Democrat's Dilemma: Why Election Monitoring Became an International Norm. Ithaca, NY: Cornell University Press.

N. Ichino , and M. Schündeln . 2012. “Deterring or Displacing Electoral Irregularities? Spillover Effects of Observers in a Randomized Field Experiment in Ghana.” Journal of Politics 74 (1): 292307.

J. Kelley 2008. “Assessing the Complex Evolution of Norms: The Rise of International Election Monitoring.” International Organization 62 (2): 221–55.

J. Kelley 2012. Monitoring Democracy: When International Election Observation Works and Why it Often Fails. Princeton, NJ: Princeton Univ. Press.

P. Klimek , Y. Yegorov , R. Hanel , and S. Thurner . 2012. “Statistical Detection of Systematic Election Irregulatrities.” Proceedings of the National Academy of the Sciences of the United States of America 109 (41): 16469–73.

F. Lehoucq 2003. “Electoral Fraud: Causes, Types, and Consequences.” Annual Review of Political Science 6 (1): 233–56.

E. Nisbet , E. Stoycheff , and K. Pearce . 2012. “Internet use and Democratic Demands: A Multinational, Multilevel Model of Internet use and Citizen Attitudes about Democracy.” Journal of Communication 62 (2): 249–65.

B. Olken 2007. “Monitoring Corruption: Evidence from a Field Experiment in Indonesia.” Journal of Political Economy 115 (2): 200–49.

G. Pickard , I. Rahwan , W. Pan , M. Cebrian , R. Crane , A. Madan , and A. Pentland . 2011. “Time-critical Social Mobilization.” Science 334 (6055): 509–12.

A. Shleifer , and R. R. Vishny 1993. “Corruption.” Quarterly Journal of Economics 108 (3): 599617.

A. Simpser , and D. Donno . 2012. “Can International Election Monitoring harm Governance?Journal of Politics 74 (2): 501–13.

S. Valenzuela 2013. “Unpacking the use of Social Media for Protest behavior: The Roles of Information, Opinion Expression, and Activism.” American Behavioral Scientist 57 (7): 920–42.

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Journal of Experimental Political Science
  • ISSN: 2052-2630
  • EISSN: 2052-2649
  • URL: /core/journals/journal-of-experimental-political-science
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