This study investigated the relationship between parental reports of children\'s behavioral problems and their cheating behaviors on simulated academic tests, addressing a significant gap in understanding early childhood academic cheating and its potential links to broader behavioral issues. We hypothesized that children\'s early problem behaviors would be predictive of their academic cheating. To test these hypotheses, children aged 4 to 12 years took part in six unmonitored academic tests that measured their cheating behaviors while their parents completed the Child Behavior Checklist and the Strengths and Difficulties Questionnaire elsewhere. Separate hierarchical linear regressions revealed that children\'s problem behaviors, as reported by parents, overall significantly predict children\'s cheating behaviors even after accounting for demographic variables such as age, gender, ethnicity, and parental religiosity. Specifically, the Conduct Problems subscale of the Strengths and Difficulties Questionnaire showed a significant and unique association with children\'s cheating behaviors above and beyond the common contributions of all predictors. However, the Child Behavior Checklist scores and the scores on the other Strengths and Difficulties subscales were not significantly or uniquely related to cheating. These findings offer new insight into simulated childhood academic cheating and its relation to problem behaviors observed by parents.

Background: The COVID-19 pandemic has accelerated and amplified the use of virtual research methods. While online research has several advantages, it also provides greater opportunity for individuals to misrepresent their identities to fraudulently participate in research for financial gain. Participant deception and fraud have become a growing concern for virtual research. Reports of deception and preventative strategies have been discussed within online quantitative research, particularly survey studies. Though, there is a dearth of literature surrounding these issues pertaining to qualitative studies, particularly within substance use research. Results: In this commentary, we detail an unforeseen case study of several individuals who appeared to deliberately misrepresent their identities and information during participation in a virtual synchronous qualitative substance use study. Through our experiences, we offer strategies to detect and prevent participant deception and fraud, as well as challenges to consider when implementing these approaches. Conclusions: Without general awareness and protective measures, the integrity of virtual research methods remains vulnerable to inaccuracy. As online research continues to expand, it is essential to proactively design innovative solutions to safeguard future studies against increasingly sophisticated deception and fraud.

Pancreatic cysts are a growing pandemic around the world. Intrapapillary mucinous neoplasms are the most common type of pancreatic cysts and given their premalignant nature, guidelines recommend surveillance. This case study and discussion addresses the five existing guidelines published to help clinicians manage patients with intraductal papillary mucinous neoplasms and illustrates how, despite guidelines and close surveillance, intraductal papillary mucinous neoplasms can transform into pancreatic adenocarcinoma.

Research demonstrates that people can fake on self-rated emotional intelligence scales. As yet, no studies have investigated whether informants (where a knowledgeable informant rates a target\'s emotional intelligence) can also fake on emotional intelligence inventories. This study compares mean score differences for a simulated job selection versus a standard instructed set for both self-ratings and informant-ratings on the Trait Emotional Intelligence Questionnaire-Short Form (TEIQue-SF). In a 2 × 2 between-person design, participants (N = 81 community volunteers, 151 university students) completed the TEIQue-SF as either self-report or informant-report in one of two instruction conditions (answer honestly, job simulation). Both self-reports (d = 1.47) and informant-reports (d = 1.56) were significantly higher for job simulation than \"answer honestly\" instructions, indicating substantial faking. We conclude that people can fake emotional intelligence for both themselves (self-report) and on behalf of someone else (informant-report). We discuss the relevance of our findings for self- and informant-report assessment in applied contexts.

Evaluating digital interventions using remote methods enables the recruitment of large numbers of participants relatively conveniently and cheaply compared with in-person methods. However, conducting research remotely based on participant self-report with little verification is open to automated \"bots\" and participant deception.
This paper uses a case study of a remotely conducted trial of an alcohol reduction app to highlight and discuss (1) the issues with participant deception affecting remote research trials with financial compensation; and (2) the importance of rigorous data management to detect and address these issues.
We recruited participants on the internet from July 2020 to March 2022 for a randomized controlled trial (n=5602) evaluating the effectiveness of an alcohol reduction app, Drink Less. Follow-up occurred at 3 time points, with financial compensation offered (up to £36 [US $39.23]). Address authentication and telephone verification were used to detect 2 kinds of deception: \"bots,\" that is, automated responses generated in clusters; and manual participant deception, that is, participants providing false information.
Of the 1142 participants who enrolled in the first 2 months of recruitment, 75.6% (n=863) of them were identified as bots during data screening. As a result, a CAPTCHA (Completely Automated Public Turing Test to Tell Computers and Humans Apart) was added, and after this, no more bots were identified. Manual participant deception occurred throughout the study. Of the 5956 participants (excluding bots) who enrolled in the study, 298 (5%) were identified as false participants. The extent of this decreased from 110 in November 2020, to a negligible level by February 2022 including a number of months with 0. The decline occurred after we added further screening questions such as attention checks, removed the prominence of financial compensation from social media advertising, and added an additional requirement to provide a mobile phone number for identity verification.
Data management protocols are necessary to detect automated bots and manual participant deception in remotely conducted trials. Bots and manual deception can be minimized by adding a CAPTCHA, attention checks, a requirement to provide a phone number for identity verification, and not prominently advertising financial compensation on social media.
ISRCTN Number ISRCTN64052601; https://doi.org/10.1186/ISRCTN64052601.

We present the case of a young woman with an extensive medical history that most notably includes over 60 emergency-room visits for unfounded respiratory distress that often prompted intubations. Each presentation displays elements of deceitfulness or inappropriate demands that align with factitious disorder imposed on self. Top experts in the Consultation-Liaison field provide guidance for this commonly encountered clinical case based on their experience and review of available literature. Key teaching topics include a review of risk factors for development of deceptive syndromes, distinguishing factitious disorder from malingering and conversion disorder, and the role of a consulting psychiatrist in such cases. Patients with factitious disorder often show signs of pathologic lying, obstinance, and erratic behavior. Such attributes frequently arouse negative countertransference in providers, causing frustration and dread with continuing care, rendering psychiatric involvement. We address the unique challenges in managing factitious disorder and how to effectively collaborate with an interdisciplinary inpatient team with these cases.

UNASSIGNED: A Security Operations Centre (SOC) is a command centre where analysts monitor network activity, analyse alerts, investigate potential threats, and respond to incidents. By analysing data activities around the clock, SOC teams are crucial in ensuring the prompt detection and response to security incidents. SOC analysts work under considerable pressure to triage and respond to alerts in very short time frames. Cyber deception technology offers the promise of buying SOC analysts more time to respond by wasting the resources and time of attackers, yet such technology remains underutilised.
UNASSIGNED: We carried out a series of interviews with experts to uncover the barriers which prevent the effective implementation of cyber deception in SOCs.
UNASSIGNED: By using thematic analysis on the data, it was clear that while cyber deception technology is promising it is hindered by a lack of use cases, limited empirical research that demonstrates the efficacy of the technology, hesitancy to embrace a more active form of cyber defence, issues surrounding the over promising of results by off-the-shelf vendors, and an aversion to interrupting the decision-making processes of SOC analysts.
UNASSIGNED: Taking this last point about the decision-making processes of SOC analysts we make the case that naturalistic decision making (NDM) would help us better understand how SOC analysts make decisions and how cyber deception technology could be used to best effect.

The present paper proposes an eclectic model for examining the cognitive load involved in detecting deception that benefits from the acoustic dimension as an exercise in cognitive forensic linguistics. The corpus used is composed of the legal confession transcripts of the Breonna Taylor\'s Case, a 26-year-old African-American woman worker who was shot dead by police officers in Louisville, Ky., in March 2020 during a crackdown on her apartment. The dataset comprises transcripts and recordings of the persons involved in the shooting event but have given unclear charges, and those accused of contributory negligence due to wanton misfiring. The data is analyzed based on the video interviews and reaction times (RT) as an application of the model proposed. The findings reveal that the episodes chosen and how they are analyzed exhibit that the modified ADCM along with the acoustic dimension provide a clear picture of cognitive load management in the course of constructing and producing lies.

UNASSIGNED: Adults are typically poor judges of the veracity of statements, requiring the need for alternative methods for detecting lies. One alternative method to human lie-detectors is using computer-based linguistic analysis which may present a more reliable method for detecting dishonesty. Moreover, while previous research has examined linguistic differences between typically developing children\'s and adults\' truthful and dishonest reports, no study to date has examined whether maltreated children exhibit different linguistic cues to dishonesty. Thus, the current study examined maltreated and nonmaltreated children\'s linguistic and syntactic cues to children\'s truthful and dishonest reports.
UNASSIGNED: Nine- to 12-year-olds, half of whom were maltreated, played a computer game with a confederate: half of the children experienced a transgression (i.e., playing a forbidden game and crashing the computer) and were coached to conceal it, and half of the children experienced no transgression (i.e., simply played a computer game). All children were then interviewed about the event. The current study utilized automated linguistic and syntactic analysis software to compare children\'s truthful reports (no transgression occurred) with dishonest reports.
UNASSIGNED: Results indicated that maltreated and non-maltreated children did not differ in their indicators of dishonesty. Dishonest reporters used more first-person plural pronouns and cognitive mechanism terms and had less syntactically complex reports compared to truthful reporters. Finally, first-personal plural pronouns, cognitive mechanism terms, and syntactic complexity accurately classified (74.2%) the veracity of children\'s reports. The current findings present a new indicator of dishonesty (syntactic complexity) and suggest that indicators from typically developing populations may apply to maltreated children when coaching occurred.

Young children break rules (i.e., transgress) and then lie about those transgressions. By adolescence, lying is associated with decreased trust, communication, and quality of relationships, and with befriending antisocial peers. To decrease lies, we replicated differentially reinforcing honest reports about transgressions for one 6-year-old neurotypical child and two 7-year-old children who were diagnosed with autism spectrum disorder. After all children learned to report honestly about transgressions, we extended past research to decrease transgressions by differentially reinforcing alternative play behaviors. For all children, this resulted in increased levels of play, decreased transgressions, and continued honesty about infrequent transgressions. Caregivers were satisfied with children\'s increased honest reports and decreased transgressions. The results support first reinforcing children\'s honest reports about transgressions and then decreasing transgressions to satisfying levels for caregivers.