Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Types of Errors: Detection and Minimization01:12

Types of Errors: Detection and Minimization

2.4K
Error is the deviation of the obtained result from the true, expected value or the estimated central value. Errors are expressed in absolute or relative terms.
Absolute error in a measurement is the numerical difference from the true or central value. Relative error is the ratio between absolute error and the true or central value, expressed as a percentage.
Errors can be classified by source, magnitude, and sign. There are three types of errors: systematic, random, and gross.
Systematic or...
2.4K
Nonsense-mediated mRNA Decay02:27

Nonsense-mediated mRNA Decay

10.8K
The Upf proteins that carry out nonsense-mediated decay (NMD) are found in all eukaryotic organisms, including humans. Each protein has an individual role, but they need to work in collaboration. Upf1 is an ATP-dependent RNA helicase that unwinds the RNA helix. Because Upf1 can unwind any RNA, Upf2 and Upf3 are required to help Upf1 discriminate between nonsense and normal mRNAs.
Usually, Upf3 binds to an Exon Junction Complex (EJC) at mRNA splice sites. If a ribosome fully translates the mRNA,...
10.8K
Detection of Gross Error: The Q Test01:00

Detection of Gross Error: The Q Test

6.4K
When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
6.4K
Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

4.9K
An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
4.9K
Language and Cognition01:27

Language and Cognition

448
Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
448
Cognitive Dissonance01:38

Cognitive Dissonance

33.7K
Social psychologists have documented that feeling good about ourselves and maintaining positive self-esteem is a powerful motivator of human behavior (Tavris & Aronson, 2008). In the United States, members of the predominant culture typically think very highly of themselves and view themselves as good people who are above average on many desirable traits (Ehrlinger, Gilovich, & Ross, 2005). Often, our behavior, attitudes, and beliefs are affected when we experience a threat to our...
33.7K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Socio-psychological predictors of school dropout intention among Italian adolescents: evidence from a large-scale study.

Frontiers in psychology·2026
Same author

Neurofunctional Correlates of Emotional Dysregulation: Systematic Review and ALE Meta-Analysis.

Brain and behavior·2026
Same author

Detection of rare medical events in electronic health records using machine learning: Current practices and suggestions - A scoping review.

PloS one·2026
Same author

Capturing causal claims: A fine-tuned text mining model for extracting causal sentences from social science papers.

Research synthesis methods·2026
Same author

How Dutch legal professionals assess statement credibility: evidence from a survey and an analysis of 518 court rulings on sexual abuse.

Memory (Hove, England)·2025
Same author

Large language models in cryptocurrency securities cases: can a GPT model meaningfully assist lawyers?

Artificial intelligence and law·2025
Same journal

Correction: A method for supervoxel-wise association studies of age and other non-imaging variables from coronary computed tomography angiograms.

Scientific reports·2026
Same journal

Poly(bromophenol blue)/CoSn(OH)<sub>6</sub> cubic particles modified pencil graphite electrode for electrochemical determination of diphenhydramine.

Scientific reports·2026
Same journal

Dietary Chlorella, Spirulina, and acidifier modulate jejunal cytokine-related gene expression in broiler chickens.

Scientific reports·2026
Same journal

Perceived physical activity barriers in university students: associations with fatigue and eating behaviours.

Scientific reports·2026
Same journal

Refuge limitation structures habitat use in agricultural landscapes: evidence from Sunda pangolins.

Scientific reports·2026
Same journal

Lightweight stateless transaction verification with outsourced witness updates for UTXO blockchains.

Scientific reports·2026
See all related articles

Related Experiment Video

Updated: Sep 14, 2025

An Experimental Analysis of Children's Ability to Provide a False Report about a Crime
07:36

An Experimental Analysis of Children's Ability to Provide a False Report about a Crime

Published on: May 3, 2016

8.6K

Examining embedded lies through computational text analysis.

Riccardo Loconte1,2, Bennett Kleinberg3,4

  • 1Molecular Mind Lab, IMT School of Advanced Studies Lucca, Lucca, Italy. riccardo.loconte@imtlucca.it.

Scientific Reports
|July 21, 2025
PubMed
Summary
This summary is machine-generated.

Detecting embedded lies in statements is challenging. A new dataset and language model show that truthful and deceptive statement parts are common, requiring advanced verbal deception detection methods.

Keywords:
DeceptionEmbedded liesIndividual differencesLying profileNatural Language processing

More Related Videos

The Modified Temptation Resistance Task: A Paradigm to Elicit Children's Strategic Lie-telling
06:51

The Modified Temptation Resistance Task: A Paradigm to Elicit Children's Strategic Lie-telling

Published on: April 6, 2018

8.5K
Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
08:53

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

Published on: May 31, 2019

5.3K

Related Experiment Videos

Last Updated: Sep 14, 2025

An Experimental Analysis of Children's Ability to Provide a False Report about a Crime
07:36

An Experimental Analysis of Children's Ability to Provide a False Report about a Crime

Published on: May 3, 2016

8.6K
The Modified Temptation Resistance Task: A Paradigm to Elicit Children's Strategic Lie-telling
06:51

The Modified Temptation Resistance Task: A Paradigm to Elicit Children's Strategic Lie-telling

Published on: April 6, 2018

8.5K
Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
08:53

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

Published on: May 31, 2019

5.3K

Area of Science:

  • Psychology
  • Linguistics
  • Computer Science

Background:

  • Verbal deception detection typically assumes statements are wholly truthful or deceptive.
  • Research on embedded lies, where truthful and deceptive elements coexist within a single statement, is underdeveloped.
  • A continuum of veracity, including embedded lies, offers a more realistic view of deception.

Purpose of the Study:

  • To introduce a novel dataset of truthful and deceptive statements with annotated embedded lies.
  • To investigate the characteristics of embedded lies and their impact on deception detection.
  • To evaluate the efficacy of a language model in identifying statements containing embedded lies.

Main Methods:

  • Collected a dataset of 2,088 truthful and deceptive statements with embedded lie annotations.
  • Employed a within-subjects design where participants created truthful and deceptive versions of autobiographical events.
  • Utilized a fine-tuned Llama-3-8B language model to classify statements and analyzed linguistic properties and individual differences.

Main Results:

  • The language model achieved 64% accuracy in classifying truthful statements and those with embedded lies, significantly above chance.
  • Embedded lies constituted approximately one-third of deceptive statements, often resembling truthful statements linguistically.
  • Individual differences and linguistic analysis indicated that the similarity between truthful and deceptive components challenges detection.

Conclusions:

  • A significant portion of deceptive statements contain embedded lies, necessitating advancements in verbal deception detection.
  • The developed dataset provides a valuable resource for future research on embedded lies.
  • Future research should focus on improving the detection of nuanced deception within statements.