Pew Research finds no single method reliably filters fake respondents from opt-in polls

Pew Research Center tested three techniques for detecting bogus respondents in online opt-in surveys: attention-check trap questions, CloudResearch's proprietary Sentry prescreening system, and matching respondents to a national voter file. The study, based on a survey of 11,114 U.S. adults fielded Nov. 14-19, 2024, evaluated each method against measures like yea-saying, open-ended response quality, and response order effects, as well as their impact on 2024 election turnout and vote-choice estimates.