Comparing the Similarity of Responses Received from Studies in Amazon’s Mechanical Turk to Studies Conducted Online and with Direct Recruitment

Bartneck, Christoph; Duenser, Andreas; Moltchanova, Elena; Zawieska, Karolina

doi:10.1371/journal.pone.0121595

Cited by 269 publications

(185 citation statements)

References 34 publications

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“…Although studies have shown that data obtained from MTurk are reliable, 22–24 selection bias remains an issue. Compared with the general SNAP and low-income populations, the study sample was weighted toward women and whites, and the respondents are likely more technologically savvy, which may favor the proposed policies.…”

Section: Discussionmentioning

confidence: 99%

Improving the Nutritional Impact of the Supplemental Nutrition Assistance Program:

Leung

Musicus

Willett

et al. 2017

American Journal of Preventive Medicine

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Introduction The Supplemental Nutrition Assistance Program (SNAP) is the largest federal food assistance program designed to alleviate food insecurity and improve dietary intake. This study assessed the opinions of SNAP participants and food-insufficient nonparticipants on their perceptions of the program and strategies to improve its nutritional impact. Methods This study surveyed 387 individuals via Amazon Mechanical Turk, of whom 118 were SNAP participants and 269 were food insufficient but not enrolled in SNAP (nonparticipants). Open-ended questions were coded and analyzed for thematic content. For closed-ended questions, response frequencies were compared using chi-square tests. Data were analyzed in 2016. Results SNAP participants reported that the program successfully served its primary purpose: to allow individuals to buy enough food to make ends meet and reduce food insecurity. Importance was placed on buying food for their children/families and the ability to allocate money for other expenses. To improve the nutritional impact, SNAP participants suggested more nutrition education, increasing the benefit allotment, incentivizing healthful foods, and excluding unhealthful foods for purchase with SNAP. When participants and nonparticipants were asked to choose between SNAP and a nutritionally enhanced program combining healthy incentives with exclusions for sugary beverages (i.e., SNAP+), 68% of participants and 83% of nonparticipants chose SNAP+. Of those who initially chose SNAP, 68% of participants and 64% of nonparticipants chose SNAP+ if paired with a 50% increase in total benefits. Conclusions SNAP participants and food-insufficient nonparticipants support policies that facilitate purchases of healthful foods and limit purchases of unhealthful foods, specifically sugary beverages.

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Section: Discussionmentioning

confidence: 99%

Improving the Nutritional Impact of the Supplemental Nutrition Assistance Program:

Leung

Musicus

Willett

et al. 2017

American Journal of Preventive Medicine

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“…Researchers have found only minor differences between participants recruited on campus or in online forums and participants recruited through MTurk (Bartneck, Duenser, Moltchanova, & Zawieska, 2015). Researchers have found only minor differences between participants recruited on campus or in online forums and participants recruited through MTurk (Bartneck, Duenser, Moltchanova, & Zawieska, 2015).…”

Section: Methodsmentioning

confidence: 99%

Family Influence, Critical Consciousness, and Career Calling in Women of Color

Marks

Harrell-Williams

Tate

et al. 2018

The Career Development Quart

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Research on calling has examined the presence of and search for career calling. This cross-sectional study investigated the relationship between family influence and career calling (presence and search) in a sample of 400 women of color (mean age = 31.2 years) in the United States. The authors also examined whether this relationship was partially or fully explained by critical consciousness. Participants were recruited using Amazon Mechanical Turk, where they completed an online questionnaire. Structural equation modeling was used to test 2 models, with calling presence and calling search as disparate outcomes. Analyses revealed that most of the significant pathways in the model involved family influence, critical consciousness, and calling search. In addition, findings suggested that critical consciousness did not explain the relationship between family influence and career calling (presence or search); however, given the significant pathways, it may still be an important consideration for counselors when working with women of color on their career development.

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“…Participants were approached on a number of platforms, but mainly signed up via online crowdsourcing companies CrowdFlower and Amazon Mechanical Turk. Data from these platforms has been shown to be of equal quality as on-campus recruitment or participant data from forums [2,54]. For the current study, compliant with the common reimbursement rates on those websites, participants were paid $1.25 USD for completing the study.…”

Section: Current Studiesmentioning

confidence: 99%

Mindless Robots get Bullied

Keijsers

Bartneck

2018

Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction

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Humans recognise and respond to robots as social agents, to such extent that they occasionally a empt to bully a robot. e current paper investigates whether aggressive behaviour directed towards robots is in uenced by the same social processes that guide human bullying behaviour. More speci cally, it measured the e ects of dehumanisation primes and anthropomorphic qualities of the robot on participants' verbal abuse of a virtual robotic agents. Contrary to previous ndings in human-human interaction, priming participants with power did not result in less mind a ribution. However, evidence for dehumanisation was still found, as the less mind participants a ributed to the robot, the more aggressive responses they gave. In the main study this e ect was moderated by the manipulations of power and robot anthropomorphism; the low anthropomorphic robot in the power prime condition endured signi cantly less abuse, and mind a ribution remained a signi cant predictor for verbal aggression in all conditions save the low anthropomorphic robot with no prime. It is concluded that dehumanisation occurs in human-robot interaction and that like in human-human interaction, it is linked to aggressive behaviour. Moreover, it is argued that this dehumanisation is di erent from anthropomorphism as well as human-human dehumanisation, since anthropomorphism itself did not predict aggressive behaviour and dehumanisation of robots was not in uenced by primes that have been established in human-human dehumanisation research.

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Comparing the Similarity of Responses Received from Studies in Amazon’s Mechanical Turk to Studies Conducted Online and with Direct Recruitment

Cited by 269 publications

References 34 publications

Improving the Nutritional Impact of the Supplemental Nutrition Assistance Program:

Improving the Nutritional Impact of the Supplemental Nutrition Assistance Program:

Family Influence, Critical Consciousness, and Career Calling in Women of Color

Mindless Robots get Bullied

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