Challenges in Identifying Fraudulent Respondents in Online Surveys

A study evaluating three methods to identify and remove fraudulent respondents in online opt-in surveys found mixed results, with voter file matching inadvertently discarding valid participants and trap questions only marginally improving data quality. All approaches slightly overestimated Democratic support due to bogus respondents aligning with the winning candidate, highlighting ongoing challenges in online polling integrity.

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