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Journal articles on the topic 'Veracity'

Author: Grafiati

Published: 4 June 2021

Last updated: 16 June 2025

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1

Kemp, Martin. "Vesalius's veracity." Nature 393, no. 6684 (1998): 421. http://dx.doi.org/10.1038/30867.

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2

Greco, Peter M. "Public veracity." American Journal of Orthodontics and Dentofacial Orthopedics 164, no. 2 (2023): 159. http://dx.doi.org/10.1016/j.ajodo.2023.05.005.

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3

Parker, Judy Goforth. "Autonomy or Veracity?" Perspectives in Psychiatric Care 31, no. 2 (2009): 25–29. http://dx.doi.org/10.1111/j.1744-6163.1995.tb00463.x.

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4

Hill, Joal. "Veracity in medicine." Lancet 362, no. 9399 (2003): 1944. http://dx.doi.org/10.1016/s0140-6736(03)14991-4.

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5

Mária, Rajka. "VERACITY IN PEDIATRIC PRACTICE." Journal of School and University Medicine 09, no. 01 (2022): 20–22. http://dx.doi.org/10.51546/jsum.2022.9103.

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Sincerity to the patient is a challenge for the doctor. Any clinician or practitioner, even if he has the obligation to provide all the information to his patient about his illness and therapeutic conduct, encounters situations in which he feels that he cannot fulfill this criterion. There are many particular cases when the theory of medical ethics cannot be fully applied in practice. The patient, first of all, and before his quality as a sick person in front of the doctor, is a human being, physically, but also mentally. He has a system of values ??and thoughts of his own and a special way of perceiving his life. Thus, in any situation, each patient will react in a unique way. When the doctor is in front of a patient with a bad diagnosis and prognosis, for example, he will often think about his mental ability to perceive what he hears and how this will influence compliance, as well as his quality of life. The subject of veracity in medicine is a special one, and even more so when we talk about the pediatric patient.

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6

Berti-Equille, Laure, and Mouhamadou Lamine Ba. "Veracity of Big Data." Journal of Data and Information Quality 7, no. 3 (2016): 1–3. http://dx.doi.org/10.1145/2935753.

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7

Evans, Cecile B. "A Note on Veracity." Pain Management Nursing 17, no. 5 (2016): 293. http://dx.doi.org/10.1016/j.pmn.2016.08.003.

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8

Claudino, João Gustavo, Carlos Alberto Cardoso Filho, Daniel Boullosa, et al. "The Role of Veracity on the Load Monitoring of Professional Soccer Players: A Systematic Review in the Face of the Big Data Era." Applied Sciences 11, no. 14 (2021): 6479. http://dx.doi.org/10.3390/app11146479.

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Big Data has real value when the veracity of the collected data has been previously identified. However, data veracity for load monitoring in professional soccer players has not been analyzed yet. This systematic review aims to evaluate the current evidence from the scientific literature related to data veracity for load monitoring in professional soccer. Systematic searches through the PubMed, Scopus, and Web of Science databases were conducted for reports onthe data veracity of diverse load monitoring tools and the associated parameters used in professional soccer. Ninety-four studies were finally included in the review, with 39 different tools used and 578 associated parameters identified. The pooled sample consisted of 2066 footballers (95% male: 24 ± 3 years and 5% female: 24 ± 1 years). Seventy-three percent of these studies did not report veracity metrics for anyof the parameters from these tools. Thus, data veracity was found for 54% of tools and 23% of parameters. The current information will assist in the selection of the most appropriate tools and parameters to be used for load monitoring with traditional and Big Data approaches while identifying those still requiring the analysis of their veracity metrics or their improvement to acceptable veracity levels.

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9

Burgoon, Judee K. "Predicting Veracity From Linguistic Indicators." Journal of Language and Social Psychology 37, no. 6 (2018): 603–31. http://dx.doi.org/10.1177/0261927x18784119.

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Ample scientific research has confirmed significant linguistic differences between truthful and deceptive discourse in both laboratory and field experiments. That literature is reviewed, followed by presentation of an experiment that tested the effects of veracity on a wide array of linguistic indicators and tested which effects were moderated by motivation and modality. A 2 (veracity: truthful/deceptive) × 2 (incentives: high/low) × 3 (modality: FtF/audio/text) factorial experiment revealed that linguistic indicators of quantity, immediacy, vividness/dominance, specificity, complexity, diversity, and hedging/uncertainty were all affected by veracity, and veracity interacted with motivation in the latter four cases. Only personalism and affect failed to differ between truth and deception. Modality also affected language use but did not interact with veracity. Four linguistic indicators together successfully classified 76% of text-based deception and 76% to 78% of truthful responses from text, audio, and face-to-face interaction. The importance of context in predicting linguistic patterns is emphasized.

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10

Bowman, James S. "Performance Appraisal: Verisimilitude Trumps Veracity." Public Personnel Management 28, no. 4 (1999): 557–76. http://dx.doi.org/10.1177/009102609902800406.

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11

García Lozano, Marianela, Joel Brynielsson, Ulrik Franke, et al. "Veracity assessment of online data." Decision Support Systems 129 (February 2020): 113132. http://dx.doi.org/10.1016/j.dss.2019.113132.

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12

Ru, Jacob Alexander, Thomas N. Ward, and Jason L. Roberts. "Veracity in the Review Process." Headache: The Journal of Head and Face Pain 59, no. 9 (2019): 1429–33. http://dx.doi.org/10.1111/head.13671.

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13

Hale, Jerold L., and James B. Stiff. "Nonverbal primacy in veracity judgments." Communication Reports 3, no. 2 (1990): 75–83. http://dx.doi.org/10.1080/08934219009367507.

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14

Popov, Sergey V. "In pursuit of impeccable veracity." Economics Letters 114, no. 3 (2012): 273–75. http://dx.doi.org/10.1016/j.econlet.2011.10.031.

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15

Tang, Bor Luen. "A journal veracity–diligence index." European Science Editing 50 (June 3, 2024): e120611. https://doi.org/10.3897/ese.2024.e120611.

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Inaccuracies, false information, and fraudulent work in scientific publications could cause indirect harm, lead to significant negative socioeconomic impacts, and erode public trust in science. Journals – and publishers – play an essential role as gate-keepers in ensuring the veracity of published scientific literature. However, beyond corporate pride and integrity, there is usually no legal obligation or formal regulatory requirement for journals to ensure the veracity of the work they publish or be efficient and transparent in any investigative proceedings. Here, I propose a numerical indicator of the performance of a journal in terms of its efforts at establishing the veracity of the work it publishes and due diligence, an index computed from the following values: a) frequency of alleged irregularities or misconduct, b) frequency of retractions, c) efficiency of the journal's response to concerns or allegations, and d) transparency and thoroughness with which the journal investigates those concerns and announces its findings and actions.

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16

Sood, Deepak. "National Pension Scheme: A Veracity of India." International Journal of Psychosocial Rehabilitation 24, no. 4 (2020): 6703–32. http://dx.doi.org/10.37200/ijpr/v24i4/pr2020483.

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17

Lukoianova, Tatiana, and Victoria L. Rubin. "Veracity Roadmap: Is Big Data Objective, Truthful and Credible?" Advances in Classification Research Online 24, no. 1 (2014): 4. http://dx.doi.org/10.7152/acro.v24i1.14671.

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This paper argues that big data can possess different characteristics, which affect its quality. Depending on its origin, data processing technologies, and methodologies used for data collection and scientific discoveries, big data can have biases, ambiguities, and inaccuracies which need to be identified and accounted for to reduce inference errors and improve the accuracy of generated insights. Big data veracity is now being recognized as a necessary property for its utilization, complementing the three previously established quality dimensions (volume, variety, and velocity), But there has been little discussion of the concept of veracity thus far. This paper provides a roadmap for theoretical and empirical definitions of veracity along with its practical implications. We explore veracity across three main dimensions: 1) objectivity/subjectivity, 2) truthfulness/deception, 3) credibility/implausibility – and propose to operationalize each of these dimensions with either existing computational tools or potential ones, relevant particularly to textual data analytics. We combine the measures of veracity dimensions into one composite index – the big data veracity index. This newly developed veracity index provides a useful way of assessing systematic variations in big data quality across datasets with textual information. The paper contributes to the big data research by categorizing the range of existing tools to measure the suggested dimensions, and to Library and Information Science (LIS) by proposing to account for heterogeneity of diverse big data, and to identify information quality dimensions important for each big data type.

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18

Catyanadika, Putra Endi, Alvedi Sabani, and Mark A. A. M. Leenders. "Exploring Data Veracity Management in a Post-Truth Business Environment." Journal of Database Management 35, no. 1 (2024): 1–46. https://doi.org/10.4018/jdm.361726.

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With the ever-increasing volume and variety of data generated, organisations have to ensure their truthfulness and reliability. This paper provides overview of current research on managing data veracity in a business environment where misinformation is growing. A literature analysis from 2002 to 2023 identified three major themes: methods for ensuring data validity, data processing and optimisation, and data veracity in sustainability performance. In addition, the study highlights the gaps in the current research and proposes future research directions to help develop a better understanding of the themes and organisational implications. The study concludes that data veracity is crucial for future organisational research. Nevertheless, further work is required to refine the definition of data veracity to incorporate ‘truthfulness' better, understand human capabilities to support it, examine firms' governance of truthfulness and measure data veracity for social impact. The implications of these findings for data management and the development of relevant theories are discussed.

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19

Dando, Coral J., Alexandra L. Sandham, Charlotte Sibbons, and Paul J. Taylor. "Arabic within culture forensic interviews: Arabic native speaking lay-observer truth and lie accuracy, confidence, and verbal cue selection." PLOS ONE 19, no. 9 (2024): e0310384. http://dx.doi.org/10.1371/journal.pone.0310384.

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Cross cultural differences in behavioral and verbal norms and expectations can undermine credibility, often triggering a lie bias which can result in false convictions. However, current understanding is heavily North American and Western European centric, hence how individuals from non-western cultures infer veracity is not well understood. We report novel research investigating native Arabic speakers’ truth and lie judgments having observed a matched native language forensic interview with a mock person of interest. 217 observers viewed a truthful or a deceptive interview and were directed to attend to detailedness as a veracity cue or given no direction. Overall, a truth bias (66% accuracy) emerged, but observers were more accurate (79%) in the truth condition with the truthful interviewee rated as more plausible and more believable than the deceptive interviewee. However, observer accuracy dropped to just 23% when instructed to use the detailedness cue when judging veracity. Verbal veracity cues attended too were constant across veracity conditions with ‘corrections’ emerging as an important veracity cue. Some results deviate from the findings of research with English speaking western participants in cross- and matched-culture forensic interview contexts, but others are constant. Nonetheless, this research raises questions for research to practice in forensic contexts centred on the robustness of western centric psychological understanding for non-western within culture interviews centred on interview protocols for amplifying veracity cues and the instruction to note detailedness of verbal accounts which significantly hindered Arabic speaker’s performance. Findings again highlight the challenges of pancultural assumptions for real-world practices.

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20

Musawir, Muhammad, Johar Amir, and Muhammad Saleh. "Honesty in Language in Special Fugitive Scandal: Forensic Linguistic Studies in Broadcasting Talks Indonesia Lawyers Club." Journal of Asian Multicultural Research for Social Sciences Study 3, no. 1 (2022): 40–49. http://dx.doi.org/10.47616/jamrsss.v3i1.256.

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Forensic linguistics as a branch of linguistics that analyzes and examines language in legal products, legal processes, and legal evidence still needs to be improved in Indonesia, especially the study of language honesty in crime cases. Therefore, it is important to continue the study of forensic linguistics. This study aims to describe the veracity language in the special fugitive scandal. This research is a type of qualitative research with a descriptive qualitative research design that focuses on analyzing the level of veracity in language in the special fugitive scandal using John Olsson's Statement Analysis in Linguistic (SAL) model. The data of this research are oral data, namely forensic text narratives contained in talk shows about special fugitives. The data source in this research is the Indonesia Lawyers Club (ILC) talk show. The main theory used in this research is the study of forensic linguistics which is specified in John Olsson's theory of veracity language. The results of this research indicate that veracity in language in special fugitive scandals tends to have a high level of veracity.

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21

Sijuwade, Joshua. "The Papacy: A Philosophical Case." Perichoresis 21, no. 3 (2023): 75–108. http://dx.doi.org/10.2478/perc-2023-0023.

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Abstract This article aims to provide a philosophical case for the veracity of the doctrine of the papacy. This specific case will be presented as an a priori argument that will be formulated in light of the work of Richard Swinburne and Linda Zagzebski—which, in combination, will provide us with grounds for believing in the veracity of the papacy from a philosophical perspective, and thus help to further bolster up the historical arguments that are usually brought in support of the veracity of the doctrine.

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22

Dokutchaev, Ilya Igorevitch. "VERACITY THROUGH THE PRISM OF REFLEXION." Scholarly Notes of Komsomolsk-na-Amure State Technical University 2, no. 1 (2010): 71–76. http://dx.doi.org/10.17084/2010.i-2(1).15.

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23

Chakraborty, SanjoyKumar, Mahmudul Haque, and LailaAnjuman Banu. "Gene therapy: A veracity or myth!" Acta Medica International 2, no. 2 (2015): 155. http://dx.doi.org/10.5530/ami.2015.4.8.

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24

Banks, Marcus. "The Seductive Veracity of Ethnographic Film." Society for Visual Anthropology Review 6, no. 1 (1990): 16–21. http://dx.doi.org/10.1525/var.1990.6.1.16.

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25

Idhrees, Mohammed, and Mohamad Bashir. "Controversy handled well, ends in veracity." Asian Cardiovascular and Thoracic Annals 29, no. 7 (2021): 589–91. http://dx.doi.org/10.1177/02184923211040006.

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26

Samuel, SelwinGabriel, and Indu Bharkavi. "THE COMMONEST ORAL DISEASE –VERACITY UNEXPLORED." International Journal of Advanced Research 5, no. 5 (2017): 1510–12. http://dx.doi.org/10.21474/ijar01/4274.

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27

Morris, Kristen, and Michelle Ditton. "Veracity for children in pediatric forensics." Journal of Forensic Nursing 8, no. 4 (2012): 155–62. http://dx.doi.org/10.1111/j.1939-3938.2012.01143.x.

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28

Solomon, Maynard. "Charles Ives: Some Questions of Veracity." Journal of the American Musicological Society 40, no. 3 (1987): 443–70. http://dx.doi.org/10.2307/831676.

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Ives's autobiographical writings raise issues of veracity, including those bearing on his posthumous idealization of his relationship to his father, George Ives, and his crediting of his father with having anticipated many procedures and techniques of twentieth-century modernism. The magnification of his father's influence is intertwined with a denial of other musical influences as well as with an obsessive concern over issues of priority. An examination of Ives's autographs suggests that he retrospectively sought to predate numerous works, both as to their commencement and completion. A revised chronology of Ives's creative evolution would appear to be in order.

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29

Solomon, Maynard. "Charles Ives: Some Questions of Veracity." Journal of the American Musicological Society 40, no. 3 (1987): 443–70. http://dx.doi.org/10.1525/jams.1987.40.3.03a00030.

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30

Dinu, Liviu, Elena Casiana Fusu, and Daniela Gifu. "Veracity Analysis of Romanian Fake News." Procedia Computer Science 225 (2023): 3303–12. http://dx.doi.org/10.1016/j.procs.2023.10.324.

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31

Kam, Cindy D. "THE PSYCHOLOGICAL VERACITY OF ZALLER'S MODEL." Critical Review 24, no. 4 (2012): 545–67. http://dx.doi.org/10.1080/08913811.2012.788281.

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32

Özdemir, Vural. "Veracity Over Velocity in Digital Health." OMICS: A Journal of Integrative Biology 23, no. 6 (2019): 295–96. http://dx.doi.org/10.1089/omi.2019.0079.

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33

Schachter, Jean-Pierre. "Descartes, Divine Veracity, and Moral Certainty." Dialogue 44, no. 1 (2005): 15–40. http://dx.doi.org/10.1017/s0012217300003723.

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AbstractThis article explores the relation between Descartes's appeal to God's veracity and his connected notions of “metaphysical” and “moral” certainty. I do this by showing their roles in his proof of the external world, his position on other minds, and his position on the “beast-machine.” Descartes uses God's veracity in the first proof, but not in the second or third. I suggest that the reason for this is that extending his appeal to God to other minds would have placed his beast-machine doctrine in jeopardy. I conclude by accounting for some Cartesian passages that might seem incompatible with my reading of moral certainty's important role in his philosophy.

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34

Hess, Nicole H., and Edward H. Hagen. "Psychological adaptations for assessing gossip veracity." Human Nature 17, no. 3 (2006): 337–54. http://dx.doi.org/10.1007/s12110-006-1013-z.

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35

Rappaport, Roy A. "Veracity, Verity, and Verum in Liturgy." Studia Liturgica 23, no. 1 (1993): 35–50. http://dx.doi.org/10.1177/003932079302300103.

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36

Kassirer, Jerome P. "Protecting The Veracity Of Practice Guidelines." Health Affairs 27, no. 2 (2008): 588–89. http://dx.doi.org/10.1377/hlthaff.27.2.588-a.

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37

Chen, Adam, Parisa Fathololumi, Eric Koskinen, and Jared Pincus. "Veracity: declarative multicore programming with commutativity." Proceedings of the ACM on Programming Languages 6, OOPSLA2 (2022): 1726–56. http://dx.doi.org/10.1145/3563349.

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There is an ongoing effort to provide programming abstractions that ease the burden of exploiting multicore hardware. Many programming abstractions ( e.g. , concurrent objects, transactional memory, etc.) simplify matters, but still involve intricate engineering. We argue that some difficulty of multicore programming can be meliorated through a declarative programming style in which programmers directly express the independence of fragments of sequential programs. In our proposed paradigm, programmers write programs in a familiar, sequential manner, with the added ability to explicitly express the conditions under which code fragments sequentially commute. Putting such commutativity conditions into source code offers a new entry point for a compiler to exploit the known connection between commutativity and parallelism. We give a semantics for the programmer’s sequential perspective and, under a correctness condition, find that a compiler-transformed parallel execution is equivalent to the sequential semantics. Serializability/linearizability are not the right fit for this condition, so we introduce scoped serializability and show how it can be enforced with lock synthesis techniques. We next describe a technique for automatically verifying and synthesizing commute conditions via a new reduction from our commute blocks to logical specifications, upon which symbolic commutativity reasoning can be performed. We implemented our work in a new language called Veracity, implemented in Multicore OCaml. We show that commutativity conditions can be automatically generated across a variety of new benchmark programs, confirm the expectation that concurrency speedups can be seen as the computation increases, and apply our work to a small in-memory filesystem and an adaptation of a crowdfund blockchain smart contract.

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38

Chen, Adam, Parisa Fathololumi, Eric Koskinen, and Jared Pincus. "Veracity: Declarative Multicore Programming with Commutativity." PACMPL 6, no. 10 (2022): 186:1–186:31. https://doi.org/10.5281/zenodo.7058421.

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Veracity is a c-like language that features the commute statement, which can describe conditional commutativity of sequential code. When such code's commutativity condition is satisfied, and proper (scoped) serializability constraints are met, it may be run in parallel, benefiting from multi-core architecture. Veracity is provided as an interpreter that is implemented in Multicore OCaml. The artifact contains a version of the interpreter, provided with Servois2 to drive the commutativity analysis. The benchmark suite used in the paper is provided, as well as the programs/scripts used to generate the benchmarks seen in the paper. The extended technical report can be found of Arxiv and is linked at http://www.veracity-lang.org/.

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39

Sharma, Viveka Nand, Arvind Hans, and Shailendra Kumar Rai. "Essential Key to Success for Hospitality Academicians in India The Requisite Focus on Morality and Veracity." iRAPA International Journal of Business Studies 2, no. 1 (2021): 35–42. http://dx.doi.org/10.48112/iijbs.v2i1.125.

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There is a critical role of teaching in advancing Hospitality and Tourism Education all over the world, and a lack of honest and integrated teachers, facilitators, and professors may lead to low-skilled workers, who in turn may become liabilities to society in later stage and slow the growth of the industry. Veracity and morality need to be inculcated in Children for being value-oriented people. People having high ethics and values become responsible citizens to serve the nation. It becomes the academicians' responsibility to inculcate morality, veracity, authenticity, social responsibility, and courage to stand up for what they believe in by leading by example. Academicians must design their delivery and evaluation system in such a way so that students adhere to all quality norms. Warren Buffet advised three qualities to be a successful employee: Veracity, intelligence, and energy, and he advocates that if the employee does not have veracity, he will kill the other two. Marilyn Price –Mitchell (2015) advocates that all academicians must practice the infusion of veracity in classroom culture, and all students must be inculcated with five fundamental values: responsibility, respect, fairness, trustworthiness, and morality from the entry-level school education system.

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40

Mankikar, Dr Sneha. "Stress Management in Insurance Sector : a Veracity Check." Indian Journal of Applied Research 4, no. 7 (2011): 320–21. http://dx.doi.org/10.15373/2249555x/july2014/100.

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41

Goldstein, Tara. "Veracity in Alana Valentine’s Ladies Day: Implications for Research-Informed Theater." Qualitative Inquiry 23, no. 6 (2016): 438–44. http://dx.doi.org/10.1177/1077800416673661.

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This article introduces the reader to the work of Australian verbatim playwright Alana Valentine and examines the ways she raises the issue of veracity or truthfulness in her 2016 verbatim play Ladies Day. The article begins with a brief description of verbatim theater and the importance of veracity in verbatim theater and research-informed theater. It then moves to an analysis of the way Valentine takes up issues of veracity in Ladies Day. The article concludes with a discussion of the implications Valentine’s work has for research-informed theater practitioners in the social sciences.

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42

Mønsted, Troels. "Achieving veracity: A study of the development and use of an information system for data analysis in preventive healthcare." Health Informatics Journal 25, no. 3 (2018): 491–99. http://dx.doi.org/10.1177/1460458218796665.

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Within healthcare, information systems are increasingly developed to enable automatic analysis of the large amounts of data that are accumulated. A prerequisite for the practical use of such data analysis is the veracity of the output, that is, that the analysis is clinically valid. Whereas most research focuses on the technical configuration and clinical precision of data analysis systems, the purpose of this article is to investigate how veracity is achieved in practice. Based on a study of a project in Denmark aimed at developing an algorithm for stratification of citizens in preventive healthcare, this article confirms that achieving veracity requires close attention to the clinical validity of the algorithm. It also concludes, however, that the veracity in practice hinges critically on the citizens’ ability to report high-quality data and the ability of the health professionals to interpret the outcome in the context of existing care practices.

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43

Reimer, Andrew P., and Elizabeth A. Madigan. "Veracity in big data: How good is good enough." Health Informatics Journal 25, no. 4 (2018): 1290–98. http://dx.doi.org/10.1177/1460458217744369.

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Veracity, one of the five V’s used to describe big data, has received attention when it comes to using electronic medical record data for research purposes. In this perspective article, we discuss the idea of data veracity and associated concepts as it relates to the use of electronic medical record data and administrative data in research. We discuss the idea that electronic medical record data are “good enough” for clinical practice and, as such, are “good enough” for certain applications. We then propose three primary issues to attend to when establishing data veracity: data provenance, cross validation, and context.

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44

Shams, S. M. Riad, and Ludovico Solima. "Big data management: implications of dynamic capabilities and data incubator." Management Decision 57, no. 8 (2019): 2113–23. http://dx.doi.org/10.1108/md-07-2018-0846.

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PurposeBig data management research and practice, however, have received enormous interest from academia and industry; the extant literature demonstrates that the authors have limited understanding and challenges in this knowledge-stream to fully capitalize with its potentials. One of the contemporary challenges is to accurately verify data veracity, and developing value from the verified data for an organization and its stakeholders. Consequently, the purpose of this paper is to develop insights on how the authors could strategically deal with the contemporary challenges in strategic management of big data, related to data veracity and data value.Design/methodology/approachThe inductive–constructivist approach is followed to develop insights at the intersection of dynamic capabilities theory and stakeholder relationship management concept, in order to strategically deal with the contemporary challenges in big data management, related to data veracity and data value.FindingsAt the intersection of dynamic capabilities theory and stakeholder relationship management concept, an implication is acknowledged, which has research and practical significance to strategically verify data source, its veracity and value. Following this implication, a framework of a data incubator is proposed to proactively develop insights on veracity and value of data. Empirical insights are also presented in this study to support this initial framework.Practical implicationsFor future research in strategic management of big data, academics will have contextual understanding on the particular interconnected and interdependent attributes from dynamic capabilities and stakeholder relationship management research streams to further enhance the understanding on big data management. For practice, these insights will be useful for executives to focus on specific attributes of the proposed data incubator to confirm data veracity and develop insights on how to design, deliver and evaluate stakeholder value based on the verified data.Originality/valueFollowing a synthesis at the intersection of dynamic capabilities theory and stakeholder relationship management concept, this study introduces a data incubator to meaningfully deal with the big data management challenges, related to veracity and value of data.

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45

Shcherbakovskyi, Mykhailo. "The standard of forensic report veracity in criminal proceedings." Theory and Practice of Forensic Science and Criminalistics 25, no. 3 (2021): 21–39. http://dx.doi.org/10.32353/khrife.3.2021.03.

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Procedural (relevance and admissibility) and epistemological (due quality of objects, accuracy of source data, approved research methodology was applied) conditions and criteria (epistemological: scientific, methodological and logical substantiation of expert conclusions, procedural: compliance with other case files) that together determine veracity of the expert conclusion are outlined. The Article Purpose is to analyze views of scientists concerning veracity of evidence in general and the expert conclusion in particular; clarify circumstances preceding the expert conclusion and conditioning its accuracy; emphasize epistemological and procedural criteria for this characteristic and compare with the procedure for determining veracity of forensic examination in the countries of the Anglo-Saxon Legal Family and develop a standard based on which veracity of the forensic report can be established by results of performed research. The scientific and methodological substantiation presupposes general and specific substantiation of research results of submitted objects. The logical substantiation is argumentation of the expert’s interim and final conclusions. The criterion for procedural veracity of the forensic report is in its consistency, compliance with other pieces of evidence. It is advisable to use the standard of proof “beyond a reasonable doubt” to determine conformity of the forensic report with objective reality. The standard of forensic report veracity implies that conditions of relevance and admissibility of the forensic report are met, objects submitted for forensic examination are of appropriate quality, expert conclusions are based on general scientific and methodological provisions and results of a particular expert research stemming from them, logically reasoned, conformed with other pieces of evidence in a criminal proceeding and recognized as corresponding to actual circumstances of the offense beyond any reasonable doubt.

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Chen, Jiangjie, Qiaoben Bao, Changzhi Sun, et al. "LOREN: Logic-Regularized Reasoning for Interpretable Fact Verification." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 10 (2022): 10482–91. http://dx.doi.org/10.1609/aaai.v36i10.21291.

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Given a natural language statement, how to verify its veracity against a large-scale textual knowledge source like Wikipedia? Most existing neural models make predictions without giving clues about which part of a false claim goes wrong. In this paper, we propose LOREN, an approach for interpretable fact verification. We decompose the verification of the whole claim at phrase-level, where the veracity of the phrases serves as explanations and can be aggregated into the final verdict according to logical rules. The key insight of LOREN is to represent claim phrase veracity as three-valued latent variables, which are regularized by aggregation logical rules. The final claim verification is based on all latent variables. Thus, LOREN enjoys the additional benefit of interpretability --- it is easy to explain how it reaches certain results with claim phrase veracity. Experiments on a public fact verification benchmark show that LOREN is competitive against previous approaches while enjoying the merit of faithful and accurate interpretability. The resources of LOREN are available at: https://github.com/jiangjiechen/LOREN.

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Eck, Jennifer, Christiane Schoel, Marc-André Reinhard, and Rainer Greifeneder. "When and Why Being Ostracized Affects Veracity Judgments." Personality and Social Psychology Bulletin 46, no. 3 (2019): 454–68. http://dx.doi.org/10.1177/0146167219860135.

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Ostracism—being ignored and excluded by others—is a ubiquitous experience with adverse effects on well-being. To prevent further exclusion and regain belonging, ostracized individuals are well advised to identify affiliation partners who are sincerely well-disposed. Humans’ ability to detect lies, however, is generally not very high. Yet, veracity judgments can become more accurate with decreasing reliance on common stereotypic beliefs about the nonverbal behavior of liars and truth-tellers. We hypothesize that ostracized (vs. included) individuals base their veracity judgments less on such stereotypical nonverbal cues if message content is affiliation-relevant. In line with this hypothesis, Experiment 1 shows that ostracized (vs. included) individuals are better at discriminating affiliation-relevant lies from truths. Experiments 2 and 3 further show that ostracized (vs. included) individuals base their veracity judgments less on stereotypical nonverbal cues if messages are of high (but not low) affiliation relevance.

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Jenkins, John. "Aquinas on the Veracity of the Intellect." Journal of Philosophy 88, no. 11 (1991): 623–32. http://dx.doi.org/10.5840/jphil199188118.

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Witkowski, Joseph, and Lawrence Charles Parish. "The hidden agenda: compliance, responsibility, and veracity." International Journal of Dermatology 36, no. 12 (1997): 901–3. http://dx.doi.org/10.1046/j.1365-4362.1997.00377.x.

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Esteves, Diego, Anisa Rula, Aniketh Janardhan Reddy, and Jens Lehmann. "Toward Veracity Assessment in RDF Knowledge Bases." Journal of Data and Information Quality 9, no. 3 (2018): 1–26. http://dx.doi.org/10.1145/3177873.

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