Participant ‘bots’ often aren’t bots at all.
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| Title: | Participant ‘bots’ often aren’t bots at all. |
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| 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] |
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| Database: | Psychology and Behavioral Sciences Collection |
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| 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] |
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| ISSN: | 09528229 |
