| Title |
Miami University deception detection database
|
|---|---|
| Published in |
Behavior Research Methods, June 2018
|
| DOI | 10.3758/s13428-018-1061-4 |
| Pubmed ID | |
| Authors |
E. Paige Lloyd, Jason C. Deska, Kurt Hugenberg, Allen R. McConnell, Brandon T. Humphrey, Jonathan W. Kunstman |
| Abstract |
In the present work, we introduce the Miami University Deception Detection Database (MU3D), a free resource containing 320 videos of target individuals telling truths and lies. Eighty (20 Black female, 20 Black male, 20 White female, and 20 White male) different targets were recorded speaking honestly and dishonestly about their social relationships. Each target generated four different videos (i.e., positive truth, negative truth, positive lie, negative lie), yielding 320 videos fully crossing target race, target gender, statement valence, and statement veracity. These videos were transcribed by trained research assistants and evaluated by naïve raters. Descriptive analyses of the video characteristics (e.g., length) and subjective ratings (e.g., target attractiveness) are provided. The stimuli and an information codebook can be accessed free of charge for academic research purposes from http://hdl.handle.net/2374.MIA/6067 . The MU3D offers scholars the ability to conduct research using standardized stimuli that can aid in building more comprehensive theories of interpersonal sensitivity, enhance replication among labs, facilitate the use of signal detection analyses, and promote consideration of race, gender, and their interactive effects in deception detection research. |
X Demographics
The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 56% |
| Canada | 3 | 19% |
| Mexico | 1 | 6% |
| Unknown | 3 | 19% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 11 | 69% |
| Members of the public | 3 | 19% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 64 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 17% |
| Student > Bachelor | 6 | 9% |
| Student > Doctoral Student | 4 | 6% |
| Student > Master | 4 | 6% |
| Researcher | 4 | 6% |
| Other | 8 | 13% |
| Unknown | 27 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 16 | 25% |
| Computer Science | 5 | 8% |
| Engineering | 4 | 6% |
| Economics, Econometrics and Finance | 2 | 3% |
| Unspecified | 2 | 3% |
| Other | 6 | 9% |
| Unknown | 29 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 June 2018.
All research outputs
#3,261,641
of 25,382,440 outputs
Outputs from Behavior Research Methods
#380
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Outputs of similar age
#63,209
of 342,821 outputs
Outputs of similar age from Behavior Research Methods
#8
of 40 outputs
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