According to a survey conducted in April 2024 in the United States, one in five online dating service users had lied about their age on their dating profile, while 14 percent had lied about their income. A further 14 percent had lied about their hobbies and interests, and 12 percent had lied about their height.

This statistic shows the results of a survey among adult Americans in 2016 on how often they feel the need to lie or cheat. During the survey, 13 percent of respondents stated they occasionally have to lie or to cheat.

This statistic illustrates the results of a survey regarding the public opinion on the amount of lying and misuse of facts in politics and media compared to 30 years ago in selected countries in Europe in 2018. According to data published by IPSOS, 61 percent of Turkish respondents thought that the amount of lying and misuse of facts in politics and the media had increased compared to 30 years ago.

I experimentally investigate the hypothesis that many people avoid lying even in a situation where doing so would result in a Pareto improvement. Replicating (Erat and Gneezy, Management Science 58, 723-733, 2012), I find that a significant fraction of subjects tell the truth in a sender-receiver game where both subjects earn a higher payoff when the partner makes an incorrect guess regarding the roll of a die. However, a non-incentivized questionnaire indicates that the vast majority of these subjects expected their partner not to follow their message. I conduct two new experiments explicitly designed to test for a 'pure' aversion to lying, and find no evidence for the existence of such a motivation. I discuss the implications of the findings for moral behavior and rule following more generally.

To address the lack of a Chinese context based lie detection dataset in current research, we have developed SEUMLD, which is the first publicly available multimodal lie detection dataset based on Chinese conversations. SEUMLD contains data in three modalities: video, audio, and electrocardiogram signals. In order to effectively stimulate the participants' motivation to lie, we designed a paradigm of simulated crime and simulated interrogation experiments. By recording multimodal signals of participants during simulated interrogation, SEUMLD collected data from 76 participants who had lived in a Chinese language environment for a long time, totaling 3224 conversations. This dataset provides coarse-grained annotation for identifying whether participants lie throughout the entire conversation, as well as fine-grained annotation for precise segmentation of each conversation.

This statistic shows the results of a survey among adult Americans in 2016 on situations in which lying is okay. During the survey, 18 percent of respondents stated that lying in order to avoid hurting someone's feelings is often okay, while 58 percent said it was sometimes okay, and 24 percent thought it was never okay to lie in order to avoid hurting someone's feelings.

All data for 14 electrodes and 30 subjectsone can epoch each txt file using toolbox suchas EEGLAB

Mistakes and overconfidence in detecting lies could help lies spread. Participants in our experiments observe videos in which senders either tell the truth or lie, and are incentivized to distinguish between them. We find that participants fail to detect lies, but are overconfident about their ability to do so. We use these findings to study the determinants of sharing and its effect on lie detection, finding that even when incentivized to share truthful videos, participants are more likely to share lies. Moreover, the receivers are more likely to believe shared videos. Combined, the tendency to believe lies increases with sharing.

This special topic poll, fielded May 6-8, 1997, is part of a continuing series of monthly surveys that solicit public opinion on the presidency and on a range of other political and social issues. Respondents were asked to give their opinions of President Bill Clinton and his handling of the presidency. Views were sought on the events surrounding the 1996 Democratic fundraising activities and the White House's involvement in them, whether President Clinton and Vice President Gore did anything wrong or illegal, and whether Congress should investigate the matter. Respondents gave their opinions of Vice President Al Gore, Secretary of State Madeleine Albright, Speaker of the House Newt Gingrich, and how well members of the United States Congress were handling their jobs. Several questions asked how satisfied respondents were with their job, whether it was their dream job, and if not, what their dream job would be. Other questions addressed whether lying and keeping secrets was ever justified, how often respondents lied to others and were lied to, and their ability to tell a lie and detect when others were lying. Additional topics addressed the most important quality in a doctor, how concerned respondents were about germs, whether tobacco companies were telling the truth about the health risks of smoking, and whether they should be held legally responsible for smoking-related illness and deaths. Information was also collected on whether respondents smoked, whether they had a child in the ninth grade, and whether they identified themselves as multiracial. Demographic variables include sex, race, age, household income, education level, employment status, occupation, religious preference, frequency of religious attendance, political party affiliation, political philosophy, voter participation history and registration status, length of time living at current residence, the presence of children and teenagers in the household, and type of residential area (e.g., urban or rural).

According to a survey conducted in the United Kingdom (UK) in 2023, 16 percent of online dating service users had lied about their age, while one in ten had lied about their name. Overall, eight percent had lied about their job, and four percent had lied about their current relationship status.

Note. Internal consistency (α), mean (), and standard deviation (s) statistics are presented for each of the four lying subscales, for P1 and P2 participant samples.Descriptive Statistics for Lying Subscales.

This dataset is about book subjects. It has 2 rows and is filtered where the books is Lies, damned lies, and drug war statistics : a critical analysis of claims made by the Office of National Drug Control Policy. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

Patients often provide untruthful information about their health to avoid embarrassment, evade treatment, or prevent financial loss. Privacy disclosures (e.g. HIPAA) intended to dissuade privacy concerns may actually increase patient lying. We used new mouse tracking-based technology to detect lies through mouse movement (distance and time to response) and patient answer adjustment in an online controlled study of 611 potential patients, randomly assigned to one of six treatments. Treatments differed in the notices patients received before health information was requested, including notices about privacy, benefits of truthful disclosure, and risks of inaccurate disclosure. Increased time or distance of device mouse movement and greater adjustment of answers indicate less truthfulness. Mouse tracking revealed a significant overall effect (p < 0.001) by treatment on the time to reach their final choice. The control took the least time indicating greater truthfulness and the privacy + risk group took the longest indicating the least truthfulness. Privacy, risk, and benefit disclosure statements led to greater lying. These differences were moderated by gender. Mouse tracking results largely confirmed the answer adjustment lie detection method with an overall treatment effect (p < .0001) and gender differences (p < .0001) on truthfulness. Privacy notices led to decreased patient honesty. Privacy notices should perhaps be administered well before personal health disclosure is requested to minimize patient untruthfulness. Mouse tracking and answer adjustment appear to be healthcare lie-detection methods to enhance optimal diagnosis and treatment.

Data for interactive graphs on www.preferencesfortruthtelling.comThe data are based on Abeler, Nosenzo, Raymond "Preferences for truth-telling" (published in Econometrica 2019)

Polygraph Instrument (Lie Detector) Market Outlook

The global polygraph instrument (lie detector) market size is projected to grow from USD 2.1 billion in 2023 to USD 3.8 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 6.7% during the forecast period. This growth is driven by increasing demand for advanced security and verification measures across various sectors including law enforcement, private security, and governmental departments.

The growth of the polygraph instrument market is significantly influenced by the increasing need for effective security measures in both public and private sectors. As global security threats continue to evolve, the necessity for reliable and accurate lie detection methods becomes more prominent. Law enforcement agencies, in particular, are investing heavily in polygraph instruments to enhance their investigative capabilities. The adoption of these devices helps in substantiating evidence and improving the accuracy of criminal investigations, thereby driving market growth.

Technological advancements in polygraph instruments are another critical growth factor. Modern polygraph devices, especially digital polygraphs, offer enhanced accuracy, ease of use, and better data integration capabilities compared to their analog counterparts. Features such as real-time monitoring, data storage, and sophisticated software analysis contribute to the increasing adoption of these advanced instruments. Innovations in sensor technology and data analytics are also paving the way for more accurate and reliable lie detection, further propelling the market forward.

Furthermore, the rising awareness about the importance of pre-employment screening and internal investigations in corporate sectors is fueling demand for polygraph instruments. Private security firms and corporate entities are increasingly using these devices to ensure the integrity and credibility of their employees. The use of polygraph tests in sensitive positions, such as financial institutions and intelligence agencies, underscores the critical role these instruments play in maintaining organizational security and trust.

Regionally, North America is expected to remain the dominant market for polygraph instruments, driven by substantial investments in security infrastructure and stringent regulations mandating the use of lie detectors in various sectors. Europe and Asia Pacific are also anticipated to witness significant growth, with increasing adoption of polygraph instruments in law enforcement and corporate sectors. The global emphasis on enhancing security measures and ensuring public safety continues to drive the demand for polygraph instruments across these regions.

Product Type Analysis

Polygraph instruments can be broadly classified into analog and digital polygraphs. Analog polygraphs, though considered traditional, have been a staple in lie detection for decades. These devices record physiological responses such as heart rate, blood pressure, and respiratory rate using mechanical pens on a moving paper chart. However, despite their historical significance, the market for analog polygraphs is gradually declining. The need for manual interpretation and lack of advanced data analytics capabilities are major drawbacks of these devices. They are mostly used in regions or sectors where budget constraints limit the adoption of more advanced technologies.

On the other hand, digital polygraphs represent the future of lie detection technology. These devices leverage digital sensors and software to record physiological responses, offering a higher degree of accuracy and ease of use. Digital polygraphs allow for real-time data processing and sophisticated analysis, enhancing the reliability of lie detection. The ability to store data electronically and integrate with other digital systems makes these devices highly desirable across various applications. The market for digital polygraphs is expected to grow significantly, driven by continuous technological advancements and increased adoption across security and investigative sectors.

The comparison between analog and digital polygraphs highlights a clear market shift towards digital solutions. Organizations across sectors are increasingly investing in digital polygraphs to benefit from their superior features. The integration of artificial intelligence and machine learning algorithms in digital polygraphs is also a growing trend, with these technologies enhancing the accuracy of lie detection and providing deeper insights into the physiological responses of subjects. This trend is

We run an experimental study using sender-receiver games to evaluate how senders' willingness to lie to others compares to their willingness to tell hard truths, i.e., promote an outcome that the sender know is unfair to the receiver without explicitly lying. Unlike in previous work on lying when it has consequences, we do not find that antisocial behavior is less frequent when it involves lying than when it does not. In fact, we find the opposite result in the setting where there is social contact between senders and receivers, and receivers have enough information to judge whether they have been treated unfairly. In this setting, we find that senders prefer to hide behind a lie and implement the antisocial outcome by being dishonest rather than by telling the truth. These results are consistent with social image costs depending on the social proximity between senders and receivers, especially when receivers can judge the kindness of the senders' actions.

LABEL EXPLANATIONS FOR STUDY 1 and 2 OF MANUSCRIPT ENTITLED "Are we modular lying cues detectors? The answer is “yes, sometimes” BY ARMINJON ET AL

People tend to be bad at explicitly detecting lies. However, indirect veracity judgments and physiological responses may yield above-chance levels of accuracy in differentiating lies from the truth. If lies induce a threat response, vasoconstriction should reduce peripheral cutaneous blood flow, leading to finger temperature drops when confronted with a lie compared to the truth. Participants (N = 95) observed people telling lies or the truth about their social relationships, during which participants’ fingertip temperature was recorded via infrared thermal imaging. Results suggested that the accuracy of explicit veracity categorizations remained at chance levels. Judgments of story-tellers’ likability and trustworthiness as indirect veracity measures, as well as observers’ fingertip temperatures as a physiological veracity measure significantly differed between lies and true stories. However, the effects pointed in the opposite direction of our expectations: participants liked liars better than truth-tellers and trusted liars more; and fingertip temperatures increased while confronted with lies compared to true stories. We discuss that studying observers’ physiological responses may be a useful window to lie detection, but requires future investigation.

This dataset contains tabular files recording occurrences of the verb REGRET complemented by a that- or (S) -ing-complement clause (CC) in the GloWbE corpus. Tokens were retrieved using the online interface (https://www.english-corpora.org/glowbe/) and manually annotated for several syntactic and semantic variables (variety, text type, finiteness, subject in the main clause (MC), voice of the CC, meaning of the verb in the CC, subject in the CC, animacy of the subject in the CC, words in the CC, coreferentiality, intervening material, negation in the CC, temporal relation). See ReadMe file for more details. Related publication: Romasanta, Raquel P. 2022. “I regret lying” VS. “I regret that I lied”: Variation in the clausal complementation profile of REGRET in American and British English. Miscelánea 65: 37-58

We use a novel laboratory experiment involving a die rolling task embedded within a coordination game to investigate whether complicity can emerge when decision-making is simultaneous, the potential accomplices are strangers and neither communication nor signaling is possible. Then, by comparing the behavior observed in this original game to that in a variant in which die-roll reporting players are paired with passive players instead of other die-roll reporters, while everything else is held constant, we isolate the effect of having a potential accomplice on the likelihood of an individual acting immorally. We find that complicity can emerge between strangers in the absence of opportunities to communicate or signal and that having a potential accomplice increases the likelihood of an individual acting immorally.

This network project brings together economists, psychologists, computer and complexity scientists from three leading centres for behavioural social science at Nottingham, Warwick and UEA. This group will lead a research programme with two broad objectives: to develop and test cross-disciplinary models of human behaviour and behaviour change; to draw out their implications for the formulation and evaluation of public policy. Foundational research will focus on three inter-related themes: understanding individual behaviour and behaviour change; understanding social and interactive behaviour; rethinking the foundations of policy analysis. The project will explore implications of the basic science for policy via a series of applied projects connecting naturally with the three themes. These will include: the determinants of consumer credit behaviour; the formation of social values; strategies for evaluation of policies affecting health and safety. The research will integrate theoretical perspectives from multiple disciplines and utilise a wide range of complementary methodologies including: theoretical modeling of individuals, groups and complex systems; conceptual analysis; lab and field experiments; analysis of large data sets. The Network will promote high quality cross-disciplinary research and serve as a policy forum for understanding behaviour and behaviour change.