Beyond the Turk: Alternative platforms for crowdsourcing behavioral research
Open accessAI snapshot
Written from the paper’s full text.
TL;DR
Peer et al. compare Amazon Mechanical Turk (MTurk) with alternative crowdsourcing platforms, especially CrowdFlower (CF) and Prolific Academic (ProA), on data quality, naivety, diversity, and honesty. They conclude ProA is the most viable alternative to MTurk, while CF offers fast recruitment but weaker attention and reproducibility.
Key findings
- In Study 1, CF collected 200 responses fastest (44 minutes), followed by MTurk (1:48 hours) and ProA (4:37 hours); CF also had the highest attention-check failure rate, with only 27.1% of participants retained under a strict exclusion policy versus about half for MTurk, ProA, and CBDR. Average failed ACQs were 0.67 (MTurk), 0.81 (ProA), 1.04 (CBDR), and 1.76 (CF).
- MTurk and ProA replicated all tested effects in Study 1, but CF did not show the Sunk Cost or Gambler’s Fallacy effects; CF also had lower reliability on the RSES and NFC scales, improving after ACQ exclusions.
- Participants were least naïve on MTurk (60.3% of tasks reported as seen for the first time), followed by ProA (68.3%), CBDR (72.2%), and CF (80.8%). Die-roll cheating was highest on MTurk (mean claimed bonus 46.87 cents; Cohen’s d = 1.88), followed by ProA (42.29; d = 0.92) and CF (40.68; d = 0.70), against a 35-cent honest benchmark.
- In Study 2 (1,374 recruited; 1,205 completed), MTurk was faster than ProA (151 minutes vs. almost 10 hours to reach 600 responses; 3.99 vs. 1.01 responses per minute). MTurk had more participants passing all three ACQs (60.6% vs. 48.4%), but reliability remained high on both platforms and the simulation heuristic replicated on both.
Methods
- Study 1 was an online survey run on CF, ProA, CBDR, and MTurk, targeting about 200 participants per platform and yielding 831 total participants in January 2016. It measured attention with four ACQs, reliability with the NFC and RSES scales, naivety, reproducibility of four judgment-and-decision tasks, and dishonest behavior via a die-roll task.
- Study 2 focused on MTurk and ProA, recruiting 1,374 participants (691 MTurk, 683 ProA) and analyzing 1,205 completers (604 MTurk, 601 ProA). It used the Consideration for Future Consequences scale, three ACQs, the simulation heuristic, and demographic/usage questions.
- The paper also reports a preliminary study that attempted six alternative platforms and successfully sampled CrowdFlower, MicroWorkers, RapidWorkers, MTurk, and CBDR, with 890 total participants.
Limitations
- Stated: the roots and causes of platform differences remain unclear because the authors could control sampling but not allocation of participants across platforms; it is also unclear how constant or transient the findings are, since some differences (e.g., demographics) seemed stable while others (e.g., response rates, naivety) could be temporary.
- Stated: after Study 1, ProA changed its pricing scheme, which may have affected response rates in Study 2; the authors note this as a possible reason for the larger MTurk–ProA response-rate gap.
- Evident from the text: Study 2 excluded some “obvious” hypothesis questions under editorial advice because their interpretation was ambiguous; the platform comparisons are also limited to the specific platforms, tasks, payment schemes, and time periods studied.
Model-written summary. Check it against the paper before relying on it.
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Cites
Statistics
Claims the paper makes
0 of 17 cited sources checked · 0 supported · 0 flagged
- Findingown data
Among CBDR participants, excluding based on ACQs generally increased effect sizes except for Quote Attribution.
“Among CBDR participants, excluding based on ACQs generally increased effect sizes except for the case of the Quote Attribution task.”
Quote in the paperNot a substantial claim - Findingown data
The most familiar tasks were RSES and NFC scales, followed by Asian Disease problem.
“As Figure 4 shows, the most familiar tasks were the RSES and NFC scales, followed by the Asian Disease problem.”
Quote in the paperNot a substantial claim - Findingown data
MTurk participants had a higher income than the other samples.
“MTurk participants had a higher income than the other samples.”
Quote in the paperNot a substantial claim - Findingown data
There were statistically significant differences between the samples in ethnicity, education, and income.
“We found statistically significant differences between the samples in ethnicity, χ 2 (15) = 92.64,p < .01,education, χ 2 (6) = 17.85, p < .01,and income, χ 2 (18) = 61.5, p < .01”
Quote in the paperSubstantial claim - Findingown data
All post-hoc differences in failed ACQs, except between ProA and CBDR, were statistically significant after Bonferroni correction.
“All post-hoc differences, except between ProA and CBDR, were statistically significant after applying Bonferroni's correction (p < .05).”
Quote in the paperSubstantial claim
- Findingown data
No statistically significant differences in reliability were found between the other platforms and their sub-groups.
“We did not find any statistically significant results between the other platforms and their sub-groups.”
Quote in the paperNot a substantial claim - Findingown data
CF participants were more educated than the other samples.
“CF participants were more educated than the other samples”
Quote in the paperNot a substantial claim - Findingown data
The average number of failed ACQs differed significantly between platforms: MTurk 0.67, ProA 0.81, CBDR 1.04, CF 1.76.
“The average number of failed ACQs also differed significantly between the platforms, F (3, 827) = 37.41, p < .01.Whereas MTurk participants failed, on average, only 0.67 ACQs (SD=0.96),ProA participants failed 0.81 ACQs (SD=1.01);CBDR participants 1.04 ACQs (SD=1.14);and CF participants failed the most, 1.76 ACQs on average (SD=1.44).”
Quote in the paperSubstantial claim - Findingown data
ProA had a reasonable but slower response rate.
“at a reasonable (albeit slower) response rate”
Quote in the paperSubstantial claim - Findingnone given
Excluding participants based on ACQs improved reliability on both sites.
“based on ACQs improved reliability on both sites.”
Quote in the paperNot a substantial claim - Findingown data
In all instances, reliability remained above the conventional threshold of 0.8.
“in all instances reliability remained above the conventional threshold of 0.8”
Quote in the paperNot a substantial claim - Findingown data
Most MTurk participants reported spending between 8 and 20 hours per week on the platform.
“most MTurk participants reported spending between 8 and 20 hours per week on the platform.”
Quote in the paperNot a substantial claim - Findingnone given
MTurk participants showed higher rates of passing ACQs compared to ProA.
“Again, MTurk participants showed higher rates of passing ACQs compared to ProA.”
Quote in the paperNot a substantial claim - Findingown data
U.S.-based participants are over-represented on MTurk.
“which, as our results suggest, are over-represented on MTurk.”
Quote in the paperSubstantial claim - Findingown data
Most ProA users reported spending between 1 and 2 hours per week on the platform.
“ProA users spent considerably less time, most reporting spending between 1 and 2 hours per week only.”
Quote in the paperNot a substantial claim - Findingown data
ProA had a higher overall failure rate of ACQs compared to MTurk.
“These differences, which were statistically significant, χ 2 (3) = 64.03,p < .01,suggest a higher overall failure rate of ACQs on ProA compared to MTurk.”
Quote in the paperSubstantial claim - Findingown data
There were statistically significant degrees of over-reporting in all samples: M = 46.87, 42.29, 40.68 for MTurk, ProA, and CF.
“We found statistically significant degrees of over-reporting in all samples, M = 46.87,42.29, 40.68, (SD = 12.67, 15.8, 16.18) for MTurk, ProA, and CF participants, respectively, t (200, 213, 220) = 13.27,6.75, 5.22, p < .01.”
Quote in the paperSubstantial claim - Findingown data
Clickworker asked for a price of more than $800 to set up the survey for 200 participants.
“Clickworker asked for a price of more than $800 to set up our survey for 200 participants.”
Quote in the paperSubstantial claim - Findingown data
ClickWorker differed from the other platforms in that researchers could only submit survey questions offline to the site's team, which then designed and administered the survey to its pool of participants for pay.
“However, ClickWorker was found to be different, as researchers are only given the option to submit their survey questions offline to the site's team, and that team then designs and administers the survey to its pool of participants (for pay, of course).”
Quote in the paperNot a substantial claim - Findingown data
Reliability on MTurk was slightly higher than on ProA when using all participants (Cronbach's alpha = 0.89 vs. 0.821).
“reliability on MTurk was found to be slightly higher than on ProA when using all participants (Cronbach's alpha = 0.89 vs. 0.821).”
Quote in the paperNot a substantial claim - Findingown data
The median approval score was close to 100% for both platforms.
“The median approval score (percentage of approved submissions) participants reported was close to 100% for both platforms.”
Quote in the paperNot a substantial claim - Findingown data
Response rates between MTurk and ProA were considerably different in Study 2.
“In contrast to Study 1, response rates between MTurk and ProA were considerably different.”
Quote in the paperNot a substantial claim - Findingown data
ANOVA showed statistically significant differences in naivety between platforms.
“ANOVA on the mean percentage of unfamiliar tasks participants reported showed statistically significant differences in naivety between the platforms, F (3, 827) = 25.34,p < .01.”
Quote in the paperSubstantial claim - Findingown data
The simulation heuristic effect was found on both MTurk and ProA.
“the effect, which is indicated by a mean regret rating that is significantly higher than the scale's midpoint (4), was found on both sites.”
Quote in the paperSubstantial claim - Findingown data
The simulation heuristic was replicated on both platforms, also when excluding participants based on ACQs.
“We were also able to replicate the simulation heuristic on both platforms, also when excluding participants based on ACQs.”
Quote in the paperSubstantial claim - Findingown data
A lenient exclusion policy would retain 86.6% of the sample on MTurk compared to 67.6% on ProA.
“a lenient exclusion policy, excluding participants who failed more than one ACQ, would result in retaining 86.6% of the sample on MTurk compared to only 67.6% on ProA, χ 2 (1) = 61.18,p < .01”
Quote in the paperSubstantial claim - Findingreasoning
The median total number of tasks completed in lifetime was much higher on MTurk (5,900) than ProA (10).
“the median of the total number of tasks participants reported completing in their lifetime as a participant on that platform was much higher on MTurk (5,900), than ProA (10).”
Quote in the paperNot a substantial claim - Findingown data
ProA produced data quality of comparable levels to MTurk.
“it produced data quality of comparable levels”
Quote in the paperSubstantial claim - Findingown data
The reliability difference was slightly minimized under the lenient exclusion policy (0.911 vs. 0.869) and the strict policy (0.904 vs. 0.863).
“This difference was slightly minimized under the lenient exclusion policy (0.911 vs. 0.869) and the strict policy(0.904vs. 0.863).”
Quote in the paperNot a substantial claim - Findingnone given
All sites offered the ability to request participants to submit a completion code given at the end of the survey, so researchers could approve tasks only from participants who completed the task or survey.
“All sites offer the ability to request participants to submit some sort of a completion code that is given to them at the end of the survey, so researchers can approve tasks only from participants who actually completed the task/survey.”
Quote in the paperNot a substantial claim - Findingown data
Participants' reported locations matched their IP addresses in 94% of the cases.
“Participants' reported locations matched their IP addresses in 94% of the cases.”
Quote in the paperNot a substantial claim- Rests on an assumption: Participants' reported locations and IP addresses accurately indicate their geographic location.
- Findingown data
RapidWorkers participants showed general reluctance to disclose personal information, as about a quarter actively refused to divulge details such as income, ethnicity, or U.S. citizenship.
“Another important and interesting difference found between the sites was RapidWorkers participants' general reluctance to disclose personal information as about a quarter of them actively refused to divulge details such as income, ethnicity, or U.S. citizenship.”
Quote in the paperNot a substantial claim - Findingown data
No statistically significant differences were found between the other three samples.
“No statistically significant differences were found between the other three samples.”
Quote in the paperSubstantial claim - Findingown data
On average, MTurk and CBDR participants outperformed the other samples' participants by 17.76% of correct answers (56.89 vs. 39.21, SD=36.9, 34.04, t(888)=7.44, p<.01, d=0.50).
“On average, MTurk and CBDR participants outperformed the other samples' participants by 17.76% of correct answers (56.89 vs. 39.21,SD = 36.9,34.04, respectively, t (888) = 7.44, p < .01,d = 0.50).”
Quote in the paperSubstantial claim - Findingown data
Response rates differed across sites.
“Response rates also differed across sites.”
Quote in the paperSubstantial claim - Findingown data
Differences across samples on all three scores were statistically significant, F(4.889)=15.84, 14.53, 15.76, p<.01.
“The differences across samples on all three scores were statistically significant, F (4. 889) = 15.84,14.53, 15.76, p < .01,respectively.”
Quote in the paperSubstantial claim - Findingown data
Differences between average pay/week between the samples were statistically significant, F(3,769)=371.46, p<.01.
“The differences between average pay/week between the samples were statistically significant, F (3, 769) = 371.46,p < .01,”
Quote in the paperNot a substantial claim- Rests on an assumption: Participants' self-reported platform usage, earnings, number of tasks completed, and approval scores are accurate.
- Findingown data
About 75% of participants on CrowdFlower, compared to about 60% on MicroWorkers, failed both attention-check questions.
“However, about 75% of participants on CrowdFlower (compared to about 60% on MicroWorkers) failed both the attention-check questions”
Quote in the paperNot a substantial claim - Findingown data
It took almost 10 hours to reach 600 responses on ProA.
“it took almost 10 hours to reach 600 responses on ProA.”
Quote in the paperSubstantial claim - Findingown data
14% of MTurk participants failed both attention-check questions.
“Whereas only 14% of MTurk participants failed both questions,”
Quote in the paperSubstantial claim - Findingown data
The median approval score (percentage of approved submissions) participants reported having was close to 100% for all platforms except for CF (89%).
“The median approval score (percentage of approved submissions) participants reported having was close to 100% for all platforms except for CF (89%).”
Quote in the paperNot a substantial claim- Rests on an assumption: Participants' self-reported platform usage, earnings, number of tasks completed, and approval scores are accurate.
- Findingown data
The median income among MTurk and MicroWorkers participants was slightly higher ($25K-$50K) than among the other sites ($10K-$25K).
“The median income among MTurk and MicroWorkers participants was slightly higher ($25K-$50K) than among the other sites ($10K -$25K).”
Quote in the paperNot a substantial claim - Findingown data
Dropout rates differed significantly between the five platforms, χ2(4)=385.46, p<.01.
“These dropout rates differed significantly between the five platforms, χ 2 (4) = 385.46,p < .01”
Quote in the paperSubstantial claim - Findingown data
About 72% of CF participants reported earning $5-$50 a week.
“about 72% of CF participants reported earning $5 -$50 a week”
Quote in the paperNot a substantial claim- Rests on an assumption: Participants' self-reported platform usage, earnings, number of tasks completed, and approval scores are accurate.
- Findingown data
About 97% of location reports were compatible with the coordinates of participants' IP addresses.
“We compared participants' reported locations to the location of their IP addresses, and confirmed that about 97% of location reports were compatible with the coordinates of their IP address.”
Quote in the paperNot a substantial claim- Rests on an assumption: Participants' reported locations and IP addresses accurately indicate their geographic location.
- Findingnone given
ProA participants failed ACQs somewhat more often than MTurk participants.
“it appears that ProA had a significantly lower response rate, and ProA participants failed ACQs somewhat more often than MTurk participants.”
Quote in the paperNot a substantial claim - Findingown data
The last hypothesis (that non-smokers believe smoking kills more than smokers do) was not statistically significant among the MTurk sample, t(592)=0.69, p=0.49.
“except for the last hypothesis (that non-smokers believe smoking kills more than smokers do) because that hypothesis was not statistically significant among the MTurk sample, t (592) = 0.69, p = 0.49.”
Quote in the paperNot a substantial claim - Findingown data
There was an interaction effect only for the Mississippi question, F(4,329)=4.58, p<.01.
“and an interaction effect only for the Mississippi question, F (4, 329) = 4.58, p < .01.”
Quote in the paperSubstantial claim - Findingown data
A fair amount of participants from MTurk and CrowdFlower (25% and 22%) stated the platform was their main source of income.
“However, a fair amount of participants from MTurk and CrowdFlower (25% and 22%) stated that the platform is their main source of income.”
Quote in the paperNot a substantial claim - Findingown data
There were significant differences in ethnicity between sites, χ2(4)=233.11, p<.01.
“We found significant differences in ethnicity (χ 2 (4) = 233.11,p < .01)”
Quote in the paperSubstantial claim - Findingown data
There were generally low degrees of overlap of participants between the different platforms.
“We then grouped the percentages of participants that reported using the different platforms and found, generally, low degrees of overlap of participants between the different platforms, as shown in”
Quote in the paperNot a substantial claim - Findingown data
The distribution of country of residence differed significantly between sites, χ2(12)=688.53, p<.01.
“The distribution of country of residence also differed significantly between the sites (χ 2 (12) = 688.53,p < .01)”
Quote in the paperSubstantial claim - Findingown data
Most participants from all platforms stated they used the platform mainly to earn some extra income.
“As Figure 3 shows, most of the participants from all of the platforms stated that they use the platform mainly to earn some extra income.”
Quote in the paperNot a substantial claim - Findingreasoning
76% of CBDR participants reported earning less than $5 a week.
“(76% of CBDR participants reported earning less than $5 a week, possibly due to students receiving academic credit instead of money).”
Quote in the paperNot a substantial claim- Rests on an assumption: Participants' self-reported platform usage, earnings, number of tasks completed, and approval scores are accurate.
- Findingown data
More than 80% of participants on all sites except CrowdFlower were U.S. citizens or permanent residents, compared to only 4.9% on CrowdFlower.
“More than 80% of the participants on all sites except CrowdFlower were U.S. citizens or permanent residents, compared to only 4.9% on CrowdFlower (unsurprisingly).”
Quote in the paperNot a substantial claim - Findingreasoning
The response rate was almost four times faster on MTurk (3.99 responses per minute on MTurk vs. 1.01 responses per minute on ProA).
“This means the response rate was almost four times faster on MTurk (3.99 responses per minute on MTurk vs. 1.01 responses per minute on ProA).”
Quote in the paperSubstantial claim - Findingown data
The response rate on MTurk was much faster than on ProA in this study.
“the response rate on MTurk was much faster than on ProA in this study.”
Quote in the paperSubstantial claim - Findingown data
84.2% of CF participants reported spending 8 or more hours per week on the platform.
“77.2% of MTurk, and 84.2% of CF participants reported spending 8 or more hours per week on the platform.”
Quote in the paperNot a substantial claim- Rests on an assumption: Participants' self-reported platform usage, earnings, number of tasks completed, and approval scores are accurate.
- Findingown data
In almost all cases, the required sample on MTurk was smaller than ProA.
“As can be seen, in almost all cases, the required sample on MTurk was smaller than ProA, except for the last hypothesis”
Quote in the paperNot a substantial claim - Findingown data
ProA had a significantly lower response rate than MTurk.
“it appears that ProA had a significantly lower response rate, and ProA participants failed ACQs somewhat more often than MTurk participants.”
Quote in the paperSubstantial claim - Findingown data
A Kruskal-Wallis test showed the differences in completion time were statistically significant (p < .01).
“A Kruskal-Wallis test showed these differences were statistically significant (p < .01).”
Quote in the paperNot a substantial claim - Findingown data
77.2% of MTurk participants reported spending 8 or more hours per week on the platform.
“77.2% of MTurk, and 84.2% of CF participants reported spending 8 or more hours per week on the platform.”
Quote in the paperNot a substantial claim- Rests on an assumption: Participants' self-reported platform usage, earnings, number of tasks completed, and approval scores are accurate.
- Findingown data
There was an effect for sample only for the Mississippi question, F(4,329)=4.61, p<.01.
“an effect for sample only for the Mississippi question, F (4, 329) = 4.61, p < .01”
Quote in the paperSubstantial claim - Findingown data
Subsequent ANOVA and post-hoc comparisons found statistically significant effects between anchoring conditions only for the Mississippi and Chicago questions, F(1,329)=79.75, 13.40, p<.01.
“Subsequent ANOVA and post-hoc comparisons (using Bonferroni's correction) found statistically significant effects between anchoring conditions only for the Mississippi and Chicago questions, F (1, 329) = 79.75, 13.40, p < .01”
Quote in the paperSubstantial claim - Findingown data
Over a quarter of RapidWorkers participants actively refused to divulge their ethnicity by marking 'I prefer not to say'.
“Interestingly, over a quarter of the participants from RapidWorkers actively refused to divulge their ethnicity by marking”
Quote in the paperNot a substantial claim - Findingown data
Data collection was completed on MTurk in 151 minutes.
“While data collection was completed on MTurk in 151 minutes,”
Quote in the paperSubstantial claim - Findingown data
77% of ProA participants reported earning less than $10 a week.
“77% of ProA participants reported earning less than $10 a week”
Quote in the paperSubstantial claim- Rests on an assumption: Participants' self-reported platform usage, earnings, number of tasks completed, and approval scores are accurate.
- Findingown data
More than 70% of MTurk participants reported earning more than $50 a week.
“whereas more than 70% of MTurk-ers reported earning more than $50 a week”
Quote in the paperNot a substantial claim- Rests on an assumption: Participants' self-reported platform usage, earnings, number of tasks completed, and approval scores are accurate.
- Findingown data
The dropout-rate differences remained significant even when excluding MicroWorkers, χ2(4)=29.99, p<.01.
“and these differences remained significant even when excluding MicroWorkers, χ 2 (4) = 29.99,p < .01.”
Quote in the paperSubstantial claim - Findingown data
All pairwise differences between the platforms in average pay/week were statistically significant, p<.01 after Bonferroni's correction.
“All the pairwise differences between the platforms were statistically significant, p < .01,after Bonferroni's correction.”
Quote in the paperSubstantial claim- Rests on an assumption: Participants' self-reported platform usage, earnings, number of tasks completed, and approval scores are accurate.
- Findingown data
Only for the NFC scale, a higher reliability measure was found for those who passed compared to those who did not pass among the sample from MTurk, CrowdFlower and MicroWorkers.
“Only for the NFC scale we found a higher reliability measure for those who passed compared to those who did not pass among the sample from MTurk, CrowdFlower and MicroWorkers.”
Quote in the paperNot a substantial claim - Findingown data
Almost half of the CBDR participants failed both attention-check questions.
“almost half of the CBDR participants failed them,”
Quote in the paperSubstantial claim - Findingown data
CrowdFlower participants had a failure rate of almost 75% on attention-check questions.
“Interestingly, CrowdFlower participants (who showed the fastest response rate) had a failure rate of almost 75%.”
Quote in the paperSubstantial claim - Findingown data
There were statistically significant differences between the samples for the NFC and the RSES, χ2(4)=127.07, 75.69, p<.01.
“but we did find statistically significant differences for the NFC and the RSES, χ 2 (4) = 127.07,75.69, p < .01.”
Quote in the paperSubstantial claim - Findingown data
The majority of participants from all other sites failed both attention-check questions.
“and the majority of the participants from all other sites failed them as well.”
Quote in the paperSubstantial claim - Premisecitation
MTurk has growing participant non-naivety.
“The high rate of non-naivety among MTurk participants has recently been shown to have the potential to significantly reduce the effect sizes of known research findings (Chandler et al., 2015).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Chandler et al., 2015 source
Not checked in the free run.
- Premisecitation
Alternative platforms have fewer restrictions on the types of assignments researchers may ask participants to undertake.
“These alternative platforms offer access to new, more naïve populations than MTurk's, and have fewer restrictions on the types of assignments researchers may ask participants to undertake (Vakharia & Lease, 2015;Woods et al., 2015).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Vakharia & Lease, 2015
Not checked in the free run.
- cites Woods et al., 2015 source
Not checked in the free run.
- Rests on an assumption: MTurk's terms of service prohibit tasks that ask participants to download or install software or applications, or to disclose identifiable personal information.
- Premisecitation
Alternative platforms offer access to new, more naïve populations than MTurk's.
“These alternative platforms offer access to new, more naïve populations than MTurk's, and have fewer restrictions on the types of assignments researchers may ask participants to undertake (Vakharia & Lease, 2015;Woods et al., 2015).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Vakharia & Lease, 2015
Not checked in the free run.
- cites Woods et al., 2015 source
Not checked in the free run.
- Interpretationnone given
ProA's participants seem to be more naïve to common experimental research tasks.
“ProA's participants seem to be more naïve to common experimental research tasks”
Quote in the paperNot a substantial claim - Interpretationown data
The different platforms tap into different populations.
“This suggests that the different platforms tap into different populations, and this should be taken into account when determining which platform to use for participant recruitment.”
Quote in the paperSubstantial claim - Interpretationown data
The major advantage of MTurk over ProA lies in its faster response times.
“our studies show that the major advantage of MTurk over ProA lies in its faster response times.”
Quote in the paperSubstantial claim - Interpretationreasoning
ProA demonstrated superiority over CF.
“Overall, ProA demonstrated superiority over CF.”
Quote in the paperSubstantial claim - Interpretationreasoning
Both MTurk and ProA provide high data quality on all the examined parameters.
“Thus, it appears that both sites provide high data quality on all the examined parameters.”
Quote in the paperSubstantial claim - Interpretationreasoning
Both sites' participants provide high data quality, even when some fail some of the ACQs.
“This shows that both sites' participants provide high data quality, even when some fail some of the ACQs.”
Quote in the paperSubstantial claim - Study design and conductown data
There were no differences in gender between MTurk and ProA.
“There were no differences in gender between the sites (53.1% vs. 56.1% males on MTuk vs. ProA, χ 2 (1) = 1.04, p = 0.31)”
Quote in the paperSubstantial claim - Premisecitation
Non-U.S. populations have relative naivety toward many behavioral and psychological research materials.
“this population's relative naivety toward many behavioral and psychological research materials, a point that has been singled out as one of MTurk's most persistent disadvantages (Chandler et al., 2014).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Chandler et al., 2014 source
Not checked in the free run.
- Study design and conductown data
The reported location of participants differed significantly between MTurk and ProA.
“The reported locationfoot_3 of participants differed significantly between the sites, χ 2 (6) = 575.2,p < .01.”
Quote in the paperNot a substantial claim - Study design and conductown data
Dropout rates were similar for MTurk and ProA (12.6% vs 12.0%).
“Dropout rates were similar for MTurk and ProA (12.6% and 12.0%, respectively).”
Quote in the paperSubstantial claim - Premisecitation
The study above constitutes the first systematic examination of ProA's data quality.
“the study above constitutes the first systematic examination of ProA's data quality.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Paolacci & Chandler, 2014 source
Not checked in the free run.
- Interpretationown data
ProA provides data quality that is comparable or not significantly different than MTurk's.
“ProA provides data quality that is comparable or not significantly different than MTurk's”
Quote in the paperSubstantial claim - Premisecitation
ACQs have low diagnostic ability when data quality is already high.
“which showed that ACQs have low diagnostic ability when data quality is already high.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Peer et al., (2014) source
Not checked in the free run.
- Study design and conductown data
MTurk and ProA did not differ in English proficiency.
“but not in English proficiency, t (0.05), p = .96”
Quote in the paperNot a substantial claim - Interpretationown data
ProA (but not CF) could be considered a potential alternative to MTurk.
“Overall, the results of our first study suggest that ProA (but not CF) could be considered a potential alternative to MTurk as it produced data quality of comparable levels, with more diverse and naïve participants, at a reasonable (albeit slower) response rate.”
Quote in the paperSubstantial claim - Interpretationreasoning
CF cannot be considered a comparable alternative to MTurk.
“On one hand, the differences in both ethnicity and country of residence between these two platforms suggest that one is not comparable with the other, and thus CF cannot be considered a comparable alternative to MTurk.”
Quote in the paperSubstantial claim - Premisecitation
The simulation heuristic predicts that people believe a person who missed their flight by a few minutes would feel more regret than a person who missed it by a longer duration.
“The simulation heuristic predicts that people would believe that a person who missed their flight by a few minutes would feel more regret (i.e., feel more foolish about dawdling before leaving for the airport) than a person who missed their flight by a longer duration.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Kahneman, & Tversky, 1982
Not checked in the free run.
- Study design and conductown data
MTurk and ProA differed significantly in education.
“education, χ 2 (9) = 60.04,p < .01”
Quote in the paperNot a substantial claim - Study design and conductown data
MTurk and ProA differed significantly in income.
“income, χ 2 (7) = 147.02,p < .01”
Quote in the paperNot a substantial claim - Interpretationown data
ProA offers a more diverse population in terms of geographical location, ethnicity, etc.
“offer a more diverse population in terms of geographical location, ethnicity, etc.”
Quote in the paperSubstantial claim - Interpretationown data
Both MTurk and ProA produced high-quality data for many of the aspects examined in the study.
“we found that both MTurk and ProA produced high-quality data for many of the aspects examined in the study.”
Quote in the paperSubstantial claim - Study design and conductreasoning
The roots and causes of the differences found between the platforms remain unclear because the study could only control sampling (and not allocation) of participants.
“the roots and causes of the differences found between the platforms remain unclear, as we could only control the sampling (and not allocation) of participants from the different platforms.”
Quote in the paperSubstantial claim - Study design and conductown data
MTurk and ProA differed significantly in ethnicity.
“We found statistically significant differences between the sites in ethnicity, χ 2 (5) = 25.51,p < .01”
Quote in the paperSubstantial claim - Interpretationreasoning
ProA seems to be the most viable alternative to MTurk.
“These results suggest that while both CF and ProA show adequate data quality, ProA seems to be the most viable alternative to MTurk.”
Quote in the paperSubstantial claim - Premisecitation
The scales have been previously used with success to measure data quality on MTurk.
“they are reliable and validated scales, and b) they have been previously used with success to measure data quality on MTurk (Peer et al., 2014).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Peer et al., 2014 source
Not checked in the free run.
- Interpretationown data
CrowdFlower, RapidWorkers, and MicroWorkers contained more naïve participants compared to MTurk (and presumably CBDR).
“Thus, it appears that CrowdFlower, RapidWorkers, and MicroWorkers contain more naïve participants compared to MTurk (and presumably CBDR).”
Quote in the paperSubstantial claim - Interpretationown data
Among the three viable alternatives on which the authors could conduct an online survey and obtain responses, RapidWorkers did not provide adequate results.
“Our empirical investigation of the selected platforms suggests that among the three viable alternatives on which we could conduct an online survey and obtain responses, RapidWorkers did not provide adequate results”
Quote in the paperSubstantial claim - Interpretationown data
From the perspective of participants' honesty, MicroWorkers cannot be ruled out as an alternative to MTurk.
“Thus, from the perspective of participants' honesty, MicroWorkers cannot be ruled out as an alternative to MTurk.”
Quote in the paperSubstantial claim - Interpretationown data
The difference in usage between platforms resulted in earning differences between the platforms.
“As Figure9shows, this difference in usage clearly resulted in earning differences between the platforms:”
Quote in the paperNot a substantial claim- Rests on an assumption: Participants' self-reported platform usage, earnings, number of tasks completed, and approval scores are accurate.
- Interpretationown data
RapidWorkers's response-rate results were unsatisfactory.
“and RapidWorkers's results were unsatisfactory.”
Quote in the paperSubstantial claim - Study design and conductreasoning
Because numbers on opposite sides of a regular six-sided die sum to 7 and cheating was undetectable, the die-roll task gave participants an incentive to cheat by declaring they picked the down side when the up side showed a low number, and vice versa.
“Because numbers on opposite sides of a regular six-sided die sum up to 7 and cheating is undetectable, this task gave participants an incentive to cheat by declaring that they picked the down side when the side facing up showed a low number, and vice versa, that they picked the up side when the die roll showed a high number on that side.”
Quote in the paperSubstantial claim - Interpretationown data
The lower response rate on ProA seems to have resulted from the survey being made available at around 11 pm on the same day.
“This lower rate seems to have resulted from the fact that, although we submitted our survey in the morning, it was actually made available at around 11 pm on the same day.”
Quote in the paperNot a substantial claim - Interpretationown data
From the perspective of participants' attention and compliance with written instructions, no site showed an adequate alternative to MTurk.
“Thus, from the perspective of participants' attention and compliance with written instructions, no site showed an adequate alternative to MTurk.”
Quote in the paperSubstantial claim - Premisecitation
Attention-check questions from Peer et al. (2014) can be used to check whether participants read and paid attention to instructions.
“Using two attention-check questions (Peer et al., 2014), we checked whether participants read and paid attention to our instructions.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Peer et al., 2014 source
Not checked in the free run.
- May combine two claims. 75
- Classified as probably not a substantial claim. 21
- The quote only partly states this claim. 1
May combine two claims.
Findingown dataExcluding participants based on ACQs on MTurk had little to no impact on observed effect sizes, and it somewhat increased effect sizes on ProA.
“As can be seen in Table 3, excluding participants based on ACQs on MTurk had little to no impact on the observed effect sizes, and it somewhat increased effect sizes on ProA.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe vast majority of MTurk and CBDR participants reported residing in North America, while CF and ProA showed a much more diverse distribution across the globe.
“Regarding location, while the vast majority of MTurk (and CBDR) participants reportedfoot_2 that they currently resided in North America (U.S. and Canada), CF and ProA showed a much more diverse distribution across the globe.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataDifferences in reliability among CF groups were statistically significant for both RSES and NFC.
“Using Hakstian and Whalen's (1976) method to compare between independent reliability coefficients, we found the differences in reliability among CF, between the groups stated above, were statistically significant for both the RSES and NFC (χ 2 (2) = 8.21, 17.95; p = .02,p < .01).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataBoth RSES and NFC scales showed expected high reliability scores overall (Cronbach's alpha = 0.898, 0.901 respectively).
“Overall, both scales showed the expected high reliability scores (Cronbach's alpha = 0.898, 0.901 respectively).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataCF showed the fastest response rates, with 200 responses collected within 44 minutes, followed by MTurk (1:48 hours), ProA (4:37 hours), and CBDR (stopped after a week with 195 responses).
“As can be seen, CF showed the fastest response rates, with 200 responses collected within 44 minutes, followed by MTurk, where it took 1:48 hours to collect 200 responses.On ProA, it took 4:37 hours to collect 200 responses, and collection was stopped after a week on CBDR (which had provided 195 responses at that time).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAll four experimental effects were statistically significant in MTurk and ProA samples; CF participants did not show either the Sunk Cost or Gambler's Fallacy effects; CBDR participants did not exhibit the Gambler's Fallacy effect.
“We first looked at overall replicability and, as Table 3 shows, found all effects to be statistically significant in MTurk and ProA samples.However, CF participants did not show either the Sunk Cost or Gambler's Fallacy effects.CBDR participants did not exhibit the Gambler's Fallacy effect either.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataDropout rates were around 10% for all platforms, with no significant differences between the platforms.
“As detailed in Table 2, dropout rates were around 10% for all platforms, with no significant differences between the platforms, χ 2 (3) = 3.43, p = .33.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataUnder a lenient exclusion policy, CF's sample is reduced the most to about only 45% of its original size; this difference is significant.
“Using the lenient policy of allowing participants to fail one ACQ reduces the sample size less for all platforms, but still CF's sample is reduced the most to about only 45% of its original size (χ 2 (3) = 80.83, p < .01).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe average response rate was best on CF and MTurk (3.85 and 5.62 minutes required for 10 responses), followed by ProA (12.94 minutes per 10 responses) and CBDR (about 9 hours per 10 responses).
“The average response rate was best on CF and MTurk (3.85 and 5.62 minutes required for 10 responses), followed by ProA (12.94 minutes per 10 responses) and CBDR (about 9 hours per 10 responses).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAmong CF participants, strict exclusion had a mixed effect: increased effect size of Asian Disease and Gambler's Fallacy, reduced effect sizes on other tasks.
“Among CF participants, the strict exclusion policy had a mixed effect as it increased the effect size of the Asian Disease and Gambler's Fallacy tasks, while it reduced effect sizes on the other tasks.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataMTurk participants were typically more familiar with the tasks, while CF participants were more naïve.
“Between the platforms, MTurk participants were typically more familiar with the tasks, while CF participants were more naïve to the tasks.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFor RSES, reliability was adequately high (around or above 0.90) on all platforms except CF; for CF, reliability improved significantly from 0.837 to 0.901 under lenient exclusion and was 0.891 under strict.
“As shown in Figure 3a, reliability measures for the RSES were adequately high (around or above 0.90) on all platforms except CF, and that did not change considerably under the lenient or strict exclusion policies.For CF, reliability improved significantly (from 0.837 to 0.901) when applying the lenient exclusion policy, and it was similarly high (0.891) under the strict policy.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataCaucasians were more prevalent on MTurk and ProA than on CF, which included a higher proportion of Asian and Latin/Hispanic participants.
“In general, Caucasians were more prevalent on MTurk and ProA than on CF, which included a higher proportion of Asian and Latin/Hispanic participants”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataMedian completion time was lowest on CBDR (10 minutes), followed by MTurk (11 minutes), ProA (14 minutes), and highest on CF (16 minutes); differences were statistically significant.
“Because the time distribution was highly skewed, we compared medians across groups and found that it was lowest on CBDR (10 minutes), followed by MTurk (11 minutes), ProA (14 minutes), and highest on CF (16 minutes).A Kruskal-Wallis test showed that these differences were statistically significant (p < .01).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFor NFC, reliability was high for all platforms except CF; for CF, reliability was lower in overall sample (0.689) and improved significantly to 0.836 under both exclusion policies.
“This pattern appeared similarly for the NFC: For all platforms, except CF, reliability was high for the overall sample and also after excluding based on ACQs.For CF, reliability was lower in the overall sample (0.689) and improved significantly (to 0.836) under both exclusion policies.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data60.6% of MTurk participants passed all three ACQs, while only 48.4% of ProA's participants passed all ACQs.
“While 60.6% of participants on MTurk passed all three ACQs, only 48.4% of ProA's participants passed all ACQs.”
Quote in the paperSubstantial claimMay combine two claims.
FindingreasoningMore than 70% of MTurk participants reported earning more than $50 a week, while about 85% of ProA participants reported earning less than $10 a week.
“whereas more than 70% of participants on MTurk reported earning more than $50 a week, about 85% of ProA participants reported earning less than $10 a week.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataProA participants included slightly more Asians and Hispanics, and slightly fewer African-American and Caucasians than MTurk.
“ProA participants included slightly more Asians and Hispanics, and slightly fewer African-American and Caucasians than MTurk”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataOn ShortTask, the authors received a credit card error despite using a working credit card, and repeated efforts to contact the site were left unrequited.
“On ShortTask, we received a credit card error despite using a working credit card, and our repeated efforts to contact them were left unrequited.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn Study 1, the response rate difference between MTurk and ProA was about 2.5 times in favor of MTurk; in Study 2, that ratio increased to 4 times in favor of MTurk.
“Whereas in Study 1 the difference between the response rate on MTurk to ProA was about 2.5 times in favor of MTurk, that ratio increased to 4 times in favor of MTurk in Study 2.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataProA participants were somewhat more educated and had lower income compared to MTurk.
“they were somewhat more educated and had lower income compared to MTurk.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataThe authors attempted to set up a survey on all six identified platforms but were successful on only three of them.
“We attempted to set up a survey on all six of the aforementioned platforms, but were successful in doing so only on three of them.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataNorth Americans comprised only 25.9% of ProA's participants, which also included 30.8% from the U.K., another 27.1% from Europe, 8.1% from South America, and 6% from India.
“North Americans comprised only 25.9% of ProA's participants, which also included 30.8% from the U.K., another 27.1% from Europe, 8.1% from South America, and 6% from India”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
FindingreasoningUnlike MTurk, some of the identified platforms require that a task posted by a requester be reviewed before it is made available to workers.
“Unlike MTurk, some of these platforms require that a”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenMiniJobz rejected the survey after reviewing it without providing any reason.
“MiniJobz rejected our survey after reviewing it, without providing any reason for rejection.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataReliability remained high on both platforms, and remained consistently high when excluding participants who failed ACQs.
“Reliability remained high on both platforms, and it remained consistently high when excluding participants who failed ACQs, on both sites.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe simulation heuristic was replicated successfully on both sites, with no significant differences between the sites.
“On both sites, the simulation heuristic was replicated successfully, with no significant differences between the sites.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe percent of participants failing one, two or all ACQs on MTurk were 26%, 9.6% and 3.8% while on ProA these were 19%, 20% and 12%.
“The percent of participants failing one, two or all ACQs on MTurk were 26%, 9.6% and 3.8% while on ProA these were 19%, 20% and 12%.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataProA had more diverse and naïve participants than MTurk.
“with more diverse and naïve participants”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe effect was slightly stronger under the exclusion policies, but these differences were not statistically significant.
“The effect was slightly stronger under the exclusion policies, but these differences were not statistically significant, as is evident by the overlap of the 95% confidence interval bars in Figure 12.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
FindingreasoningThe reviewed sites offered researchers the ability to sample participants based on characteristics such as country and language.
“These sites also offer researchers the ability to sample participants based on other characteristics, such as country and language.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
FindingreasoningThe authors identified six potential crowdsourcing platforms that seemed similar to Mechanical Turk in general design and purpose: CrowdFlower, MicroWorkers, RapidWorkers, MiniJobz, ClickWorker, and ShortTask.
“By searching for crowdsourcing websites, we identified six potential platforms that seem similar to Mechanical Turk in general design and purpose: CrowdFlower, MicroWorkers, RapidWorkers, MiniJobz, ClickWorker and ShortTask.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataDuring the one-week sampling period, the authors were able to sample about 200 participants from all platforms except RapidWorkers, ending with a total sample of 890 participants.
“During that week, we were able to sample about 200 participants from all platforms except for RapidWorkers, and ended up with a total sample of 890 participants.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingnone givenAt the time of data collection, only MicroWorkers provided the ability to pay bonus payments to participants after they submitted their work.
“At the time of our data collection, only MicroWorkers provided the ability to pay bonus payments to participants after they submit their work (since then, CrowdFlower has also added this functionality).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe degree of overlap between platforms seems quite small, with the highest overlap among the 22% of ProA users who also used MTurk.
“Generally, the degree of overlap between platforms seems to be quite small, with the highest overlap among the 22% of ProA users who also used MTurk.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataMTurk participants were least naïve (60.3% tasks seen first time), followed by ProA (68.3%) and CBDR (72.2%); CF participants were most naïve (80.8%).
“MTurk participants were the least naïve, with an average of 60.3% of tasks reported as seen for the first time, followed by ProA and CBDR (68.3%, 72.2%) participants; CF participants seemed the most naïve, as they reported a mean of 80.8% tasks seen for the first time.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAll of the sites included surveys, and many included tasks requiring users to sign up for other sites, click links, and download applications.
“All of the sites also include surveys, and many of them include tasks that require users to sign-up for various other sites, to click on links, and download applications.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataEffect sizes of cheating degree were significantly highest on MTurk, followed by ProA, and lowest among CF participants (Cohen's d = 1.88, 0.92, 0.70).
“However, the effect sizes of cheating degree were significantly highest on MTurk, followed by ProA, and lowest among CF participants, Cohen's d = 1.88, 0.92, 0.70, respectively, F (2, 633) = 9.49, p < .01.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data90.5% of MTurk participants were from North America, and 6.8% from India.
“While 90.5% of MTurk participants were from North America, and 6.8% from India”
Quote in the paperSubstantial claimMay combine two claims.
FindingcitationMost of the reviewed sites had supervision and reputation mechanisms designed to measure the quality of submitted work and to allow researchers to invite workers with high reputation.
“Most of the sites we reviewed have supervision and reputation mechanisms designed to measure the quality of submitted work, and to allow researchers to invite workers with high reputation (similar to MTurk's”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Peer et al., 2014 source
Not checked in the free run.
May combine two claims.
Findingown dataMTurk's cheating rate was significantly higher than both ProA's and CF's, but the difference between ProA and CF was not significant.
“Post-hoc comparisons, using Bonferroni's correction, showed that MTurk's cheating rate was significantly higher than both ProA's and CF's (p < .01),but that the difference between the latter two samples was not (p = 0.79).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataProA participants spent considerably less time on the platform than MTurk and CF participants, with 69.1% reporting spending between 1 and 8 hours per week.
“ProA users spent considerably less time, with 69.1% reporting spending between 1 to 8 hours per week.”
Quote in the paperNot a substantial claim- Rests on an assumption: Participants' self-reported platform usage, earnings, number of tasks completed, and approval scores are accurate.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
FindingreasoningOnly one participant completed the survey during that night and the others joined the following day.
“Apparently, only one participant completed it during that night and the others joined the following day.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe majority of users from all sites except CrowdFlower came from the U.S.; about half of CrowdFlower users were from Europe, and the rest were from India (16.3%) or other mostly South American and Asian countries (28.1%).
“whereas the majority of users from all sites except CrowdFlower came from the U.S. (see Figure 5), about half of the users on CrowdFlower were from Europe, and the rest were from India (16.3%) or other (mostly South American and Asian) countries (28.1%).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataMedian completion time was lowest on RapidWorkers (11.58 mins), followed by MTurk (13.06 mins), MicroWorkers and CBDR (16.77 and 16.88 mins), and highest on CrowdFlower (17.67 mins).
“Because the time distribution was highly skewed, we compared medians across groups to find it was lowest on RapidWorkers (11.58 mins), followed by MTurk (13.06 mins), MicroWorkers and CBDR (16.77 and 16.88) and the highest on CrowdFlower (17.67 mins).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataMTurk and CrowdFlower participants seemed almost solely focused on using their respective platforms, and CBDR participants rarely used any of these platforms.
“MTurk and CrowdFlower participants seem to be almost solely focused on using their respective platforms, and CBDR participants rarely used any of these platforms.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataMTurk, MicroWorkers, and CBDR participants were predominantly Caucasian (more than 60%), whereas CrowdFlower had a relatively high rate of Asian participants, as did RapidWorkers and CBDR.
“with MTurk, MicroWorkers and CBDR participants being predominantly Caucasian (more than 60%), whereas CrowdFlower having a relatively high rate of Asian participants, as did RapidWorkers and CBDR.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataMTurk participants reported the highest average pay (M=$3.69, SD=$0.5), followed by CF (M=$2.54, SD=$0.9), ProA (M=$1.81, SD=$0.81) and CBDR (M=$1.3, SD=$0.57).
“as MTurk participants reported the highest average pay (M=$3.69,SD=$0.5),followed by CF (M=$2.54,SD=$0.9),ProA (M=$1.81,SD=$0.81) and CBDR (M=$1.3,SD=$0.57).”
Quote in the paperNot a substantial claim- Rests on an assumption: Participants' self-reported platform usage, earnings, number of tasks completed, and approval scores are accurate.
May combine two claims.
Findingown dataOnly MicroWorkers and CBDR participants showed a statistically significant effect in the sunk-cost task, although the effect was still in the expected direction on MTurk and CrowdFlower.
“However, only MicroWorkers and CBDR participants showed a statistically significant effect in the sunk-cost task (although the effect was still in the expected direction on MTurk and CrowdFlower).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataRapidWorkers participants sometimes used MicroWorkers and CrowdFlower but not MTurk, and MicroWorkers participants sometimes used MTurk.
“In contrast, RapidWorkers participants sometimes used MicroWorkers and CrowdFlower (but not MTurk), and MicroWorkers' participants sometimes used MTurk.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFor the gain vs. loss framing effect, all but RapidWorkers' participants showed the effect in the expected direction, and these effects were statistically significant.
“For the gain vs. loss framing effect, all but RapidWorkers' participants showed the effect in the expected direction (over-choice of sure option in the positive vs. the negative framing), and these effects were statistically significant.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe median number of tasks participants reported completing on the platform was highest among MTurk (7,100), lower on CF (1,000), and much lower on ProA (30) and CBDR (6).
“Consistently, the median number of tasks participants reported completing on the platform was highest among MTurk (7,100), lower on CF (1,000) and much lower on ProA (30) and CBDR (6).”
Quote in the paperNot a substantial claim- Rests on an assumption: Participants' self-reported platform usage, earnings, number of tasks completed, and approval scores are accurate.
May combine two claims.
Findingown dataAfter Bonferroni correction, there were significant differences on the total score when comparing MTurk and CBDR to the other samples (p<.01), but no differences between MTurk and CBDR (p=1).
“We examined pair-wise differences on the total score and found, after Bonferroni correction, significant differences when comparing MTurk and CBDR to the other samples (p < .01),but no differences between MTurk and CBDR (p = 1).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataDropout rates ranged between 10% for CBDR and about 17% for RapidWorkers, except for MicroWorkers, where 44% of respondents who started the survey did not complete it.
“dropout rates ranged between 10% (for CBDR) to about 17% (for RapidWorkers), except for MicroWorkers, where 44% of respondents that started the survey did not complete it.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataMicroWorkers, RapidWorkers, MiniJobz, ClickWorker and ShortTask did not prove as effective as CF and ProA in data quality, response rate, or cost of recruitment.
“These websites did not prove as effective as the ones we have chosen to report on -either in their data quality or response rate or the cost of recruitment -and so we do not discuss them in this paper.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataMany MicroWorkers and CBDR participants indicated they used the platform for passing time.
“Many MicroWorkers and CBDR participants indicated they use the platform for passing time.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataMTurk, CBDR, and CrowdFlower participants mostly held an undergraduate degree, whereas MicroWorkers participants mostly had a highschool education level.
“mostly held an undergraduate degree, whereas MicroWorkers participants mostly had a highschool education level.”
Quote in the paperNot a substantial claimMay combine two claims. The quote only partly states this claim.
Findingown dataThere were differences in education level, income level, and U.S. citizenship between samples, χ2(4)=128.37, 125.84, 568.74, p<.01.
“S. citizenship between samples (χ 2 (4= 128.37, 125.84, 568.74, p < .01)”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataComparing the distribution of die outcomes to a uniform random distribution showed no statistical differences among any samples that received this part (MTurk, CBDR, and MicroWorkers; p=.83, .13, .51), showing no evidence for dishonest reporting on the die-roll task.
“Comparing the distribution of die outcomes to a uniform random distribution showed no statistical differences among any of the samples that received this part of the study (MTurk, CBDR and MicroWorkers; p = .83,.13,.51,respectively), showing no evidence for dishonest reporting on the die roll task.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFor the anchoring tasks, a MANOVA found statistically significant effects for anchoring condition, sample, and their interaction, Wilk's λ=.78, .90, .89, F(4/16, 326/996)=22.77, 2.24, 2.43, p<.01.
“We found a statistically significant effect for both the anchoring condition and the sample, as well as their interaction, Wilk's λ = .78,.90,.89,F (4/16, 326/996) = 22.77, 2.24, 2.43, p < .01,respectively.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe effects of anchoring were not different between samples, except for an unusually high effect for the Mississippi question in the RapidWorkers sample.
“As can be seen in Table 5, the effects of the anchoring was not different between samples, except for an unusually high effect for the Mississippi question in the RapidWorkers sample.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataReliability was high on both sites, with MTurk showing somewhat higher reliability.
“Reliability was high on both sites, with MTurk showing somewhat higher reliability.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataMTurk and CBDR participants obtained the highest CRT scores overall, followed by CrowdFlower.
“As seen in Figure 2, MTurk and CBDR participants obtained the highest scores overall, followed by CrowdFlower,”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataReliability measures for participants who passed both attention-check questions, compared to those who did not, were typically not different, and sometimes even in the opposite expected direction.
“As can be seen in Table 4, reliability measures for participants who passed both attention-check questions, compared to those who did not, were typically not different, and sometimes even in the opposite expected direction.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataRapidWorkers participants showed high reliability on the IUIPC scale, but very low reliability on the NFC and mediocre reliability on the RSES scales.
“RapidWorkers participants showed high reliability on the IUIPC scale, but very low reliability on the NFC and mediocre reliability on the RSES scales.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationReliability was assessed using the Consideration for Future Consequences scale (Strathman et al., 1994).
“To assess reliability, we used the Consideration for Future Consequences scale (Strathman, Gleicher, Boninger, & Edwards, 1994).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Strathman, Gleicher, Boninger, & Edwards, 1994 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductreasoningMicroWorkers and RapidWorkers published the survey about 24 hours after submission, CBDR published it in the evening of the same day, and the survey started immediately on all other platforms.
“Due to their process, MicroWorkers and RapidWorkers published our survey about 24 hours after we submitted it, and CBDR published our survey in the evening of the same day, whereas our survey was started immediately on all other platforms.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationScholars have urged the scientific community to expand beyond WEIRD participants, and specifically beyond U.S.-based participants.
“scholars have urged the scientific community to expand beyond western, industrialized, educated, rich and democratic participants (or WEIRD; see Henrich, Heine, & Norenzayan, 2010), and specifically beyond U.S.-based participants”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Henrich, Heine, & Norenzayan, 2010 source
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductreasoningThe sampling time was limited to one week to set a common timeframe for the study.
“We limited the sampling time to one week, in order to set a common timeframe for the study.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningOn both MTurk and ProA, most participants pay attention to instructions and consistently complete questionnaires carefully.
“The results suggest that on both MTurk and ProA, most of the participants pay attention to instructions and consistently complete questionnaires carefully.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationown dataReliability above 0.8 indicates adequate reliability.
“indicating adequate reliability.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataBoth CrowdFlower and MicroWorkers seemed to be possible alternatives for MTurk: questionnaire reliability on those samples was adequate in most cases, the samples typically reproduced the known effects of the Asian-disease problem, sunk-cost, and anchoring, and MicroWorkers participants did not try to cheat by over-reporting their performance.
“In contrast, both CrowdFlower and MicroWorkers seem to be possible alternatives for MTurk: The reliability of questionnaire on those samples was adequate on most cases; the samples typically reproduced the known effects of the Asian-disease problem, sunk-cost and anchoring; and MicroWorkers participants did not try to cheat the researcher by over-reporting their performance.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe order of the scales was randomized between participants.
“The order of the scales was randomized between participants.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataCrowdFlower showed superiority over MicroWorkers in terms of response rates, achieving a response rate identical to MTurk's.
“over MicroWorkers in terms of response rates (achieving a response rate identical to that of MTurk's).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenThe order of tasks and questions within each task was randomized between participants, and allocation to conditions was randomized within each task.
“The order of these tasks, as well as the questions within each task, were randomized between participants, and allocation to conditions was randomized within each of these tasks.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataFrom the perspective of replicability of known effects, both CrowdFlower and MicroWorkers could be considered a good alternative for MTurk, whereas RapidWorkers's results were less than adequate.
“To summarize, from the perspective of replicability of known effects, both CrowdFlower and MicroWorkers could be considered a good alternative for MTurk, whereas RapidWorker's results were less than adequate.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataCrowdFlower taps into completely different populations than MTurk, namely European participants that are absent on MTurk and the other sites.
“These differences clearly show that CrowdFlower taps into completely different populations than MTurk, namely European participants that are absent on MTurk and the other sites.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThe high attention-check failure did not seem to impact CrowdFlower participants' ability to provide reliable responses to questionnaires or reproduce effects in known tasks.
“This did not, however, seem to impact their ability to provide reliable responses to the questionnaires or reproduce the effects in the known tasks.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataCrowdFlower was distinctly different from the other samples in ethnicity and origin, but not in income and education, in which MicroWorkers participants were a little less educated but of higher income than the other sites.
“To summarize, it appears that CrowdFlower is distinctly different from the other samples in aspects of ethnicity, origin, but not in aspects of income and education (in which MicroWorkers participants were a little bit less educated, but of higher income, than the other sites).”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataMicroWorkers had a satisfactory response rate, although somewhat slower than the university pool.
“MicroWorkers also had a satisfactory response rate, although somewhat slower than the university pool”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningBoth CrowdFlower and MicroWorkers exhibited a high level of data quality, not inferior to MTurk's on most respects, whereas RapidWorkers's results were unsatisfactory on most aspects examined.
“To summarize thus far, it appears that both CrowdFlower and MicroWorkers exhibit a high level of data quality, not inferior to that of MTurk's on most respects, whereas RapidWorker's results were unsatisfactory on most of the aspects examined in this study.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductnone givenAll analyses included only participants who completed the entire study.
“All our analyses include only participants who completed the entire study.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationThe scales used (IUIPC, NFC, RSES) are reliable and validated.
“they are reliable and validated scales, and b) they have been previously used with success to measure data quality on MTurk (Peer et al., 2014).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Peer et al., 2014 source
Not checked in the free run.
May combine two claims.
Interpretationown dataCrowdFlower provided a comparable alternative to MTurk in terms of response rates and had a higher response rate than the CBDR university pool.
“To summarize, CrowdFlower provided a comparable alternative to MTurk in terms of response rates, and had a higher response rate than the CBDR university pool.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenThe first stage of the survey consisted of psychometric questionnaires and experimental tasks adopted from prominent behavioral and psychological studies, administered in random order.
“The first stage consisted of several psychometric questionnaires and experimental tasks adopted from prominent behavioral and psychological studies, which were administered in random order and designed to test attention, reliability, reproducibility, non-naivety, and individual differences.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningA high failure rate on attention-check questions could be considered desirable because it implies these sites' participants are still somewhat naïve to experimental materials.
“and a high failure rate could actually be considered desirable because it implies these sites' participants are still somewhat naïve to experimental materials.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe Asian-disease framing effect is a known effect.
“The first task was based on the Asian-disease framing effect (Tversky & Kahneman, 1981),”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Tversky & Kahneman, 1981 source
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationThe Cognitive Reflection Task can be used to explore non-naivety among MTurk participants.
“we included the Cognitive Reflection Task, as Chandler et al. (2014) used to explore non-naivety among MTurk participants.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Chandler et al., 2014 source
Not checked in the free run.
May combine two claims.
Interpretationown dataFrom the perspective of reliability on established scales, MicroWorkers, followed by CrowdFlower, provided the best alternative to MTurk, whereas RapidWorkers results were less than satisfactory.
“To summarize, from the perspective of reliability on established scales, MicroWorkers, followed by CrowdFlower, provided the best alternative to MTurk, whereas RapidWorkers results were less than satisfactory.”
Quote in the paperSubstantial claim
The paper relies on this without support.
MTurk's terms of service prohibit tasks that ask participants to download or install software or applications, or to disclose identifiable personal information.
“For example, MTurk's terms of service prohibit tasks that ask participants to download or install software or applications, or to disclose identifiable personal information (including email addresses).”
The paper relies on this without support.
ProA changed their pricing scheme to significantly raise the commission paid by researchers after Study 1.
“after Study 1 was conducted, ProA changed their pricing scheme to significantly raise the commission paid by researchers.”
The paper relies on this without support.
MTurk has been available for several years before ProA was launched.
“MTurk has been available for several years before ProA was launched.”
The paper relies on this without support.
MTurk provides a suitable benchmark for evaluating the data quality of alternative crowdsourcing platforms.
“comparable alternative to MTurk in terms of response rates”
The paper relies on this without support.
Failing attention-check questions indicates that participants did not fully read the survey instructions.
“failed both the attention-check questions, suggesting these participants may not fully read the instructions in the survey questions.”
The paper relies on this without support.
Participants' self-reported frequency of platform use accurately reflects their actual platform use.
“We asked participants from each platform to indicate the frequency with which they have used that platform, as well as the other crowdsourcing platforms”
The paper relies on this without support.
Participants' self-reported platform usage, earnings, number of tasks completed, and approval scores are accurate.
“The median approval score (percentage of approved submissions) participants reported having was close to 100% for all platforms except for CF (89%).”
The paper relies on this without support.
Participants' reported locations and IP addresses accurately indicate their geographic location.
“We compared participants' reported locations to the location of their IP addresses, and confirmed that about 97% of location reports were compatible with the coordinates of their IP address.”
The paper relies on this without support.
The four mundane hypotheses used to assess reproducibility (men are taller than women; women own more shoes than men; liberals value social equality more than conservatives; smokers think smoking kills less than non-smokers) are true known effects.
“we adopted the approach of Simmons, Nelson, & Simonsohn (2013), and included in the study several questions that were aimed to test four relatively mundane hypotheses: a) that men are taller than women; b) that women own more shoes than men; c) that liberals think social equality is more important than conservatives; d) that smokers think that smoking kills less than non-smokers do.”
The paper relies on this without support.
The samples from different platforms are comparable enough that observed differences reflect platform differences rather than sample composition.
“The differences between average pay/week between the samples were statistically significant, F (3, 769) = 371.46,p < .01,”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Those who use the Prolific Academic website to complete surveys tend to be white, have high English fluency, a medium income level, and have a third level qualification.
“Furthermore, those that use the Prolific Academic website to complete surveys tend to be white, have high English fluency, a medium income level, and have a third level qualification (30).”
From Companion animal adoption and relinquishment during the COVID-19 pandemic: Peri-pandemic pets at greatest risk of relinquishment (2022) · cites this paper as [30]
The passage on ProA’s participant pool (section labelled Abstract; page unavailable) says over 70% were Caucasian, and Study 1 reports that 97.2% rated their English reading ability very good or excellent. The Discussion says ProA participants were somewhat more educated and had lower income than MTurk participants, but it does not establish that they typically held a third-level qualification or had a medium income. (LLM, conf=0.86)
Experimental — accuracy not yet measuredCompared with other platforms for web-based studies, Prolific is known for providing superior data quality.
“Compared with other platforms for web-based studies, Prolific is known for providing superior data quality [24].”
From A Gamified Mobile App That Helps People Develop the Metacognitive Skills to Cope With Stressful Situations and Difficult Emotions: Formative Assessment of the InsightApp (2023) · cites this paper as [24]
The Abstract reports that Prolific Academic produced higher-quality data than CrowdFlower, but data quality comparable to MTurk’s. The Discussion likewise describes Prolific’s data quality as comparable to MTurk’s, so the source does not support superiority over other platforms generally. (LLM, conf=0.91)
Experimental — accuracy not yet measuredProlific Academic has been shown to provide high quality, reliable data, and has a diverse participant pool.
“Prolific Academic has been shown to provide high quality, reliable data, and has a diverse participant pool (30).”
From Companion animal adoption and relinquishment during the COVID-19 pandemic: Peri-pandemic pets at greatest risk of relinquishment (2022) · cites this paper as [30]
Prolific is a web-based recruitment platform that has been empirically tested across key attributes such as response rates and data quality.
“Prolific is a web-based recruitment platform that has been empirically tested across key attributes such as response rates and data quality [42].”
From Feasibility and Preliminary Efficacy of Digital Interventions for Depressive Symptoms in Working Adults: Multiarm Randomized Controlled Trial (2023) · cites this paper as [42]
The Prolific web-based recruitment platform has been empirically tested across attributes such as participant response rates and data quality.
“Prolific web-based recruitment platform, which has been empirically tested across attributes such as participant response rates and data quality [35]”
Attention checks are an important method for enhancing data quality, particularly when utilizing online platforms such as Prolific.
“an important method for enhancing data quality67, particularly when utilizing online platforms such as Prolific66.”
From Establishing the importance of co-creation and self-efficacy in creative collaboration with artificial intelligence (2024) · cites this paper as [66]
Prolific is an online platform explicitly designed for online participant recruitment by the scientific community and has been empirically demonstrated to provide higher quality data than alternative online platforms.
“ProA is an online platform explicitly designed for online participant recruitment by the scientific community65 and has been empirically demonstrated to provide higher quality data than alternative online platforms66.”
From Establishing the importance of co-creation and self-efficacy in creative collaboration with artificial intelligence (2024) · cites this paper as [66]
Statistics that don’t add up
Each reported p-value recomputed from its test statistic and degrees of freedom.
Inconsistent p-value: χ 2 (4) = 6.63, p = .17
MinorThe paper reports p = .17 here; recomputing from the test statistic and its degrees of freedom gives p = .157. The check cannot tell whether the statistic or the p-value is the misprint.
Reported p = .17 · recomputed p = .157
“χ 2 (4) = 6.63, p = .17”
Statistics recomputed
Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.
- Doesn’t add upχ²(4) = 6.63reported p = .17 · recomputed p = .157
“χ 2 (4) = 6.63, p = .17”
- Consistentχ²(15) = 92.64reported p < .01 · recomputed p < .001
“χ 2 (15) = 92.64,p < .01”
- Consistentχ²(6) = 17.85reported p < .01 · recomputed p = .007
“χ 2 (6) = 17.85, p < .01”
- Consistentχ²(18) = 61.5reported p < .01 · recomputed p < .001
“χ 2 (18) = 61.5, p < .01”
- Consistentχ²(3) = 3.43reported p = .33 · recomputed p = .330
“χ 2 (3) = 3.43, p = .33”
- ConsistentF(3, 827) = 37.41reported p < .01 · recomputed p < .001
“F (3, 827) = 37.41, p < .01”
- Consistentt(219) = 2.93reported p < .01 · recomputed p = .004
“t (219) = 2.93, p < .01”
- ConsistentF(3, 827) = 25.34reported p < .01 · recomputed p < .001
“F (3, 827) = 25.34,p < .01”
- ConsistentF(2, 633) = 9.49reported p < .01 · recomputed p < .001
“F (2, 633) = 9.49, p < .01”
- Consistentχ²(1) = 1.04reported p = .31 · recomputed p = .308
“χ 2 (1) = 1.04, p = .31”
- Consistentχ²(5) = 25.51reported p < .01 · recomputed p < .001
“χ 2 (5) = 25.51,p < .01”
- Consistentχ²(9) = 60.04reported p < .01 · recomputed p < .001
“χ 2 (9) = 60.04,p < .01”
- Consistentχ²(7) = 147.02reported p < .01 · recomputed p < .001
“χ 2 (7) = 147.02,p < .01”
- Consistentχ²(6) = 575.2reported p < .01 · recomputed p < .001
“χ 2 (6) = 575.2,p < .01”
- Consistentχ²(3) = 64.03reported p < .01 · recomputed p < .001
“χ 2 (3) = 64.03,p < .01”
- Consistentχ²(1) = 61.18reported p < .01 · recomputed p < .001
“χ 2 (1) = 61.18,p < .01”
- Consistentχ²(4) = 385.46reported p < .01 · recomputed p < .001
“χ 2 (4) = 385.46,p < .01”
- Consistentχ²(4) = 29.99reported p < .01 · recomputed p < .001
“χ 2 (4) = 29.99,p < .01”
- Consistentt(888) = 7.44reported p < .01 · recomputed p < .001
“t (888) = 7.44, p < .01”
- ConsistentF(4, 329) = 4.61reported p < .01 · recomputed p = .001
“F (4, 329) = 4.61, p < .01”
- ConsistentF(4, 329) = 4.58reported p < .01 · recomputed p = .001
“F (4, 329) = 4.58, p < .01”
- ConsistentF(3, 769) = 371.46reported p < .01 · recomputed p < .001
“F (3, 769) = 371.46,p < .01”
- Consistentt(592) = 0.69reported p = .49 · recomputed p = .490
“t (592) = 0.69, p = .49”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Participants reported as failing both checks outnumber those failing the second check
MinorThe preliminary-study table labels 14.00% of MTurk participants as failing both questions, although only 3.50% failed the second. Its "Failed both" column cannot represent participants who failed both checks.
“| Sample | Failed first | Failed second | Failed both |”
“| MTurk | 11.50% | 3.50% | 14.00% |”
ProA is labeled mostly U.S. despite its reported locations
MinorStudy 1 reports only 30% of ProA participants in North America and 56% in the U.K. and Europe combined, contradicting the summary table's "Mostly U.S." designation.
“| Geographic origin | Mostly U.S. | Mainly Europe | Mostly U.S. | Mostly U.S. |”
“many ProA participants were from the U.K. and Europe (56% combined), with only 30% from North America”
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Sustainability Preferences Under Stress: Evidence from COVID-19
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Fooled twice – people cannot detect deepfakes but think they can
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“This may be because of the use of the Prolific recruitment platform, which is associated with high participant response rates [35], and reimbursing participants at each study assessment.”
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- Authors
- Peer, E., Brandimarte, L., Samat, S., & Acquisti, A.
- Affiliations
- University of Arizona (US)
- Carnegie Mellon University (US)
- Venue
- Journal of Experimental Social Psychology
- Publisher
- Elsevier BV
- Published
- 2017-05
- Volume
- 70
- Pages
- 153-163
- ISSN
- 0022-1031 (ISSN-L)
- OpenAlex
- W2585292421
- Semantic Scholar
- ca9f3a04a1b6524105f51676abdd198b118a7d18
- Cited by
- 2,957
- References
- 31
- Citations by year
- 2026: 317 · 2025: 371 · 2024: 429 · 2023: 400 · 2022: 446 · 2021: 405 · 2020: 256 · 2019: 193 · 2018: 86 · 2017: 50 · 2016: 2 · 2014: 1
- FWCI
- 192.46
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Experimental Social Psychology (publishedVersion)
- UA Campus Repository (The University of Arizona) (acceptedVersion)
- Figshare (submittedVersion, cc-by-nc-nd)
- KiltHub Repository
- Topics
- Physical Sciences › Computer Science › Computer Science Applications › Mobile Crowdsensing and Crowdsourcing
- Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
- Social Sciences › Safety Research › Experimental Behavioral Economics Studies
- Keywords
- crowdsourcing, Amazon Mechanical Turk, CrowdFlower, dishonesty, response rate, replication, data quality, participant diversity, online research platform
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-09.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-09.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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