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Surveying near highways, rough terrain, or power lines involves significant risks. Working along highways is particularly dangerous and requires the use of warning signs and flagmen. It is safest to avoid working directly on roads and use offsets whenever possible. When highway work is unavoidable, it must follow all safety guidelines. Surveyors should wear bright clothing, such as orange reflective vests, to ensure visibility to motorists, coworkers, and hunters. In construction zones, wearing...
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AIM against survey fraud.

Daniel Habib1, Nishant Jha2

  • 1Department of Sociology, Johns Hopkins University, Baltimore, Maryland, USA.

JAMIA Open
|December 10, 2021
PubMed
Summary

The Anonymous Incentive Method (AIM) enhances survey response rates by offering rewards and preventing fraud. This system uses unique identifiers to filter duplicate entries and ensure rewards reach genuine participants.

Keywords:
Anonymous Incentive Method (AIM)Secure Hash Algorithm (SHA)fraudulent datainternet researchprivacy

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Area of Science:

  • Computer Science
  • Social Sciences
  • Public Health

Background:

  • Existing anonymous survey software often lacks effective fraud detection and response incentives.
  • Maintaining respondent anonymity while ensuring data integrity is a significant challenge in online surveys.

Purpose of the Study:

  • To develop an improved anonymous survey system, the Anonymous Incentive Method (AIM).
  • AIM aims to incentivize participation and proactively detect fraudulent responses while preserving anonymity.

Main Methods:

  • AIM utilizes a Secure Hash Algorithm for deterministic assignment of anonymous identifiers.
  • An anonymous raffle system rewards participants, requiring them to return later with unique credentials to claim rewards.
  • The method's validity was assessed using a case study on high school vaping networks.

Main Results:

  • AIM successfully assigned irreversible, deterministic identifiers to survey respondents.
  • The case study confirmed the deterministic nature of the identifiers and the system's efficacy.

Conclusions:

  • AIM offers a two-fold improvement: filtering duplicate responses and ensuring rewards go to actual participants.
  • While acknowledging potential limitations like identifier manipulation, AIM provides mitigation strategies and is applicable beyond network studies to prevent survey fraud.