Effects of Participant Displeasure on the Social-Psychological Study of Power on Amazon's Mechanical Turk
Bibliographic Data
| ID | 3683166 |
|---|---|
| Authors | R Gordon Rinderknecht (0000-0002-5917-406X, University of Maryland, College Park, corresponding author) |
| Year | 2019 |
| Volume | 9 |
| Issue | 3 |
| Pages | 215824401987626 |
| Publication date | 2019-07-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | SAGE Open (JOURNAL) |
| Journal identifiers | ISSN: 2158-2440 • E-ISSN: 2158-2440 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/2158244019876268 |
| OpenAlex | W2972838085 |
| Language | EN |
| Citations received | 5 |
| References cited | 33 |
Recall-based power priming is a popular research design that is widely disliked by Amazon Mechanical Turk (MTurk) workers. This article assesses the potential consequences of such displeasure through a conceptual replication of Fast et al. on MTurk. Specifically, this article assesses the extent to which recall-based priming can elicit a sense of high power and positive emotion. Findings indicate that being primed with a sense of high power through recall does not elicit the expected positive change in emotion. Findings also indicate that recall-based priming is a less effective manipulation of power than an alternative priming method with which participants were more willing to participate. Unlike the recall-based prime, this alternative prime also replicated Fast et al.'s original findings. These results are attributed to the incompatibility between feeling powerful and participating in a disliked study design. Findings highlight the importance of addressing worker displeasure in power research, and this article suggests how displeasure can be avoided as well as how such displeasure may be a detriment to other areas of research
Biology · Cognitive psychology · Feeling · Recall · Experimental Behavioral Economics Studies · Management and Organizational Studies · Medicine · Mobile Crowdsensing and Crowdsourcing · Psychology · Social Psychology
The problem of demand effects in power studies
Factors affecting supervisors' enactment of interpersonal fairness
What Makes Fake News Appeal to You? Empirical Evidence from the Tweets Related to Covid-19 Vaccines
The Daily Lives of Crowdsourced U.S. Respondents
Effects of temporal distance on a dynamic measure of action identification
Reputation as a sufficient condition for data quality on Amazon Mechanical Turk
Separate but equal? A comparison of participants and data gathered via Amazon’s MTurk, social media, and face-to-face behavioral testing
Nonnaïveté among Amazon Mechanical Turk workers
Power
Interpersonal Power
Attentive Turkers
Inside the Turk
Power, approach, and inhibition.
Running experiments on Amazon Mechanical Turk
Amazon's Mechanical Turk
Power-Dependence Relations
The viability of crowdsourcing for survey research
Development and validation of brief measures of positive and negative affect
Intertemporal Differences Among MTurk Workers
Retracted
Effects of power on emotion and expression during a controversial group discussion
From grumpy to cheerful (and back)
Controlling other people
Evaluating Online Labor Markets for Experimental Research
The experience of power
The pitfall of experimenting on the web
From Power to Action
Emotional Reactions and Status in Groups
Social Exchange and Micro Social Order
| Citations per year | 0.83 |
|---|---|
| Citation span | 2020 - 2025 (6) |
| Highly cited | No |