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Participant ‘bots’ often aren’t bots at all.

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Title: Participant ‘bots’ often aren’t bots at all.
Authors: YOUNG, EMMA (AUTHOR)
Source: Psychologist. May2026, p13-13. 2/5p.
Subjects: Respondents, Data quality, Behavioral assessment, Internet surveys, Monetary incentives
Abstract: The article addresses the issue commonly known as the "bot crisis" in online research, where automated programs are believed to produce poor-quality survey data. However, a recent study by Shalom N. Jaffe and colleagues at CloudResearch challenges this notion, finding that much of the problematic data attributed to bots actually comes from human respondents outside the United States who participate for financial incentives. The researchers emphasize that poor-quality data can also originate from US-based participants and recommend that researchers use behavioral indicators, such as repetitive answers and low-quality open-ended responses, to identify and exclude unreliable participants. [Extracted from the article]
Copyright of Psychologist is the property of British Psychological Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Participant ‘bots’ often aren’t bots at all.
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  Data: The article addresses the issue commonly known as the "bot crisis" in online research, where automated programs are believed to produce poor-quality survey data. However, a recent study by Shalom N. Jaffe and colleagues at CloudResearch challenges this notion, finding that much of the problematic data attributed to bots actually comes from human respondents outside the United States who participate for financial incentives. The researchers emphasize that poor-quality data can also originate from US-based participants and recommend that researchers use behavioral indicators, such as repetitive answers and low-quality open-ended responses, to identify and exclude unreliable participants. [Extracted from the article]
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  Data: <i>Copyright of Psychologist is the property of British Psychological Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=193505984
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        Text: English
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      – SubjectFull: Respondents
        Type: general
      – SubjectFull: Data quality
        Type: general
      – SubjectFull: Behavioral assessment
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      – SubjectFull: Internet surveys
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      – SubjectFull: Monetary incentives
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      – TitleFull: Participant ‘bots’ often aren’t bots at all.
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            – D: 01
              M: 05
              Text: May2026
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              Y: 2026
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