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 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, ** 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.

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 paper studies lying. An agent randomly picks a number from a known distribution. She can then report any number and receive a monetary payoff based only on her report. The paper presents a model of lying costs that generates hypotheses regarding behavior. In an experiment, we find that the highest fraction of lies is from reporting the maximal outcome, but some participants do not make the maximal lie. More participants lie partially when the experimenter cannot observe their outcomes than when the experimenter can verify the observed outcome. Partial lying increases when the prior probability of the highest outcome decreases.

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.

Merged data set of all raw data of the meta study

This code and dataset replicate the results in Paul Clist and Ying-yi Hong (2019) Why Do We Lie? Distinguishing Between Competing Lying Theories CBESS working paper 19-03, available at: https://ueaeco.github.io/working-papers/papers/cbess/UEA-CBESS-19-03.pdf The second experiment was preregistered: https://www.socialscienceregistry.org/trials/3547

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.

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

Financial overview and grant giving statistics of Friends of Lied

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

Data and replication code for ``Lying for Trump? Elite Cue-Taking and Expressive Responding on Vote Method".

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.

Financial overview and grant giving statistics of No Lies Foundation

What are the top vacation rentals in Lies? How many vacation rentals have private pools in Lies? Which vacation homes in Lies are best for families? How many Rentbyowner vacation rentals are available in Lies?

This dataset has been created within Project TRACES (more information: https://traces.gate-ai.eu/). The dataset is in .csv format and contains 32518 tweet IDs of tweets, written in Bulgarian, with annotations. Note: this dataset is not fact-checked, the social media messages have been retrieved via keywords. For fact-checked datasets, see our other datasets. The dataset can be used for general purposes or for building lies and disinformation detection applications (by using the annotations with the linguistic markers of lies). The tweets (written between 1 Jan 2020-27 June 2022) have been collected via Twitter API under academic access in June-July 2022 with the following keywords: (лъжа OR лъжи OR лицемерие OR лъжат OR излъга OR измама OR измамници OR измами OR лъжец OR лъжци) (фалшиви OR fakenews OR невярно OR неверни OR подвеждащи OR подвеждащо OR неистини) - without retweets (манипулация OR манипулира OR стъкмистика OR крие OR далавераджия OR далавери OR далавера) - without retweets Explanation of which fields can be used as markers of lies (or of intentional disinformation) are provided in our forthcoming paper: Irina Temnikova, Silvia Gargova, Ruslana Margova, Veneta Kireva, Ivo Dzhumerov, Tsvetelina Stefanova and Hristiana Nikolaeva (2023) New Bulgarian Resources for Detecting Disinformation. 10th Language and Technology Conference: Human Language Technologies as a Challenge for Computer Science and Linguistics (LTC'23). Poznań. Poland.

These are the replication materials for "Seeing lies and laying blame: Partisanship and US public perceptions about disinformation" by Kaitlin Peach, Joseph Ripberger, Kuhika Gupta, Andrew Fox, Hank Jenkins-Smith, and Carol Silva. The data comes from the 2021 National Security Survey (NS21) administered by the Institute for Public Policy Research and Analysis (IPPRA) at the University of Oklahoma. The survey was fielded in December 2021, using an online questionnaire of 2,036 US adults (18+). The sample matches the characteristics of the U.S. population. This dataset only contains questions used in the study. A document detailing the survey questions with variable names, the R script, and CSV dataset are included. Funding for data collection was provided by the Office of the Vice President for Research and Partnerships at the University of Oklahoma.

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.

Exposing subjects to the magnetic field of a 3T MRI scanner stimulates the vestibular organ and thereby induces - besides a VOR - horizontal biases in visual search and in subjective straight ahead, which are similar to those seen in stroke patients with spatial neglect.