Search results

This study examines the role of crowd wisdom in misinformation correction. Going beyond fact-checking, we investigate the mechanisms underlying laypeople’s participation in misinformation correction. Drawing upon the Norm Activation Model (NAM), this study conceptualizes misinformation correction as a prosocial behavior and examines the impact of various media and social psychological factors on laypeople’s motivations to engage misinformation correction behavior.

Through a national survey of 1,022 respondents, we explore the norm activation process triggered by the perceived prevalence of online misinformation, which directly and indirectly impacts online misinformation correction intentions via awareness, norms, and efficacy. This mechanism was tested using structural equation modeling.

This study found that perceived prevalence of misinformation, self-efficacy, and outcome efficacy play multilayered roles in shaping misinformation correction intentions. The effects were mediated by the activation of personal norms, which showed the strongest direct relationship with correction intentions. However, these factors also demonstrated direct associations with correction intentions, indicating multiple paths in misinformation correction.

Differing from mainstream fact-checking approaches, this study provides a more comprehensive examination of the mechanisms underlying laypeople’s willingness to engage in social media misinformation correction behaviors. In addition, this study also extends NAM by incorporating media environment (perceived prevalence of online misinformation) into the model, identifying more paths affecting misinformation correction behaviors.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-09-2023-0437

Negative rumors damage the destination’s image and tourist experience. This study aims to compare how rumor correction sources (government vs business vs tourist) affect user online citizenship behavior (UOCB).

Based on the stimuli-organism-response framework, a hypothetical model was established from rumor correction to UOCB. Three scenario experiments (more than 1,000 valid samples) were designed. Study 1 illustrated the effects of different rumor corrections, Study 2 was designed to verify the mediating effects of sympathy and perceived information authenticity (PIA) and the robustness of results was demonstrated in Study 3.

Government correction elicited the highest sympathy and PIA. Business correction was less than tourist correction in arousing sympathy but better than tourist correction in enhancing PIA. Sympathy and PIA had a mediating effect on the relationship between rumor correction and UOCB.

This study helps to identify the different advantages of rumor correctors and provides insights to prevent the deterioration of negative tourism rumors or even reverse these crises.

This study innovates research perspective of negative tourism rumor governance, expands the understanding of the effect and process of rumor correction and enriches the research content of tourism crisis communication.

负面谣言破坏目的地形象和游客体验。本研究比较谣言纠正来源（政府、企业、游客）对用户在线公民行为的影响。

基于刺激-有机体-反应框架, 搭建谣言纠正到用户在线公民行为的假设模型, 并设计3个情境实验（超过1000个有效样本）。实验1验证不同谣言纠正来源的纠正效果, 实验2证明同情和感知信息真实性的中介作用, 实验3测试实验结果的稳健性。

政府纠正引发最高的同情和感知信息真实性。企业纠正在唤起同情时不足于游客纠正, 但在增强感知信息真实性时优于旅游纠正。同情和感知信息真实性在谣言纠正与用户在线公民行为之间发挥中介作用。

有助于识别各个谣言纠正主体的不同优势, 为防止旅游负面谣言恶化甚至转危为安提供见解。

为旅游负面谣言治理提供新的研究视角, 拓展了对谣言纠正效果和过程的认识, 丰富了旅游危机沟通的研究内容。

Los rumores negativos dañan la imagen del destino y la experiencia del turista. Este estudio compara cómo afectan las fuentes de corrección de rumores (gobierno vs empresas vs turista) en el comportamiento cívico online de los usuarios (CCOU).

Sobre la base del marco estímulo-organismo-respuesta, se estableció un modelo hipotético desde la corrección de rumores hasta el CCOU. Se diseñaron tres escenarios experimentales (más de 1.000 muestras válidas). El Estudio 1 ilustró los efectos de las diferentes correcciones de rumores, el Estudio 2 se diseñó para verificar los efectos mediadores de la simpatía y la autenticidad percibida de la información (API), y la solidez de los resultados se demostró en el Estudio 3.

La corrección del gobierno obtuvo la mayor simpatía y API. La corrección de la empresa despertó menos simpatía que la corrección del turista, pero fue mejor para generar API. La simpatía y la API tuvieron un efecto mediador en la relación entre la corrección del rumor y el CCOU.

Ayuda a identificar las diferentes ventajas de los correctores de rumores y proporciona información para prevenir el deterioro de los rumores turísticos negativos o incluso revertir estas crisis.

Proporciona una nueva perspectiva de investigación de la gobernanza del rumor turístico negativo, amplía la comprensión del efecto y el proceso de corrección de rumores y enriquece el contenido de la investigación de la comunicación de crisis turísticas.

The aim of this paper is to propose a new coning correction algorithm, based on the singular perturbation technique, for the attitude update computation with non‐ideal angular rate information.

Unlike conventional coning correction algorithms, the new method uses angular rate two‐time scale model to construct the coning correction term of attitude update. In order to achieve balanced real/pseudo coning correction performance, the selection guidelines of the new algorithm parameters are established.

Performance of the new algorithm is evaluated by comparison with the conventional algorithm in no ideal sensors undergoing stochastic coning environments. The accuracy of attitude update can be improved effectively with reduced computational workload by using this new coning algorithm as compared with conventional ones.

The proposed coning correction algorithm can be implemented with angular rate sensors in UAV (unmanned aerial vehicle) and other aircrafts attitude estimation for navigation and control applications.

Singular perturbation is an effective method for structuring coning correction algorithm with filtered angular rate outputs in stochastic coning environments. The improved coning correction algorithm based on singular perturbations reduces the real and pseudo coning effects effectively as compared with conventional ones. It is proved to be valid for improvement of accuracy with reduced computations of the attitude update.

Inspection for quality of product is performed mostly at the end of the production line. Therefore, non‐conformance is known at the time it is inspected. One solution is applying in or between process inspection. Moreover, in or between processes the required correction can be performed before parts are manufactured by the subsequent process. Compares two sequences of in‐process inspection and correction facilities. The first is where the correction is made concurrently with the process (reworking). The second involves establishment of a separate correction facility and therefore correction is performed separately (correcting). Uses process, inspection and correction costs as an economical measurement of accepted product for both sequences. On the other hand, an accepted product is not always perfectly on its target value, which will eventually result in loss to the customer. Uses a model of the sum of these costs and loss to determine the best sequence.

This paper is concerned with three interrelated aspects of financial development in Colombia‐first, the use of monetary correction, which involves the adjustment of various assets and liabilities for changes in the price level; second, the development of efficient capital markets; and, third, the use of open‐market operations by the central bank to control money and inflation. The discussion of monetary correction begins with a consideration of the recent experience of the savings and housing corporations, which have applied a form of adjustment for price level changes to their assets (mortgages) and liabilities (deposits). Further, unlike other financial institutions in Colombia, these corporations have been largely immune from governmental restrictions on criteria for approving loans. It is suggested that a major positive impact of the particular type of monetary correction that has been used by the savings and housing corporations is the creation of flexibility in nominal rates of interest. This flexibility has led, in turn, to a tremendous short‐term increase in deposits and loans. However, it appears that the short‐term success of this sector is likely to become a long‐term contribution to financial development in Colombia only if monetary correction becomes widespread throughout the economy.

This paper aims to investigate the characterization of corrections to the papers published in Library and Information Science (LIS) journals during 2006-2015. It studies the frequency and location of the published errors, time interval between the publication of the original papers and their corrections, as well as associations between journals’ impact factors (IF) and their correction rates.

The population of the study comprised of 369 errata published in 50 LIS journals. The data were obtained from Clarivate Analytics’ Web of Science (WoS) and Journal Citation Reports.

The results of the study revealed a correction rate of 0.37 per cent for LIS journals, which is substantially lower than that of 124 subject categories with at-least one erratum in the WoS. Among the countries with the highest number of errata in LIS journals, the USA ranked first, followed by China and England. However, the greatest share of errata to overall LIS publications of the country was seen in Kazakhstan, Russia and Botswana. Results showed that no statistically significant relationships existed between the journals’ IF and their correction rates. The highest proportion of errors published in LIS literature was occurred in authors’ information, references, tables and figures. Moreover, the average time from publication of the original articles to their corresponding errata was found to be 8.7 months.

Correcting the unintentional mistakes in scholarly articles is an ethical responsibility of researchers and journal editors.

The current research tries to investigate the characteristics of errata in the LIS field.

While recent years have seen a number of studies of social networks in therapeutic communities (TCs) and other residential settings, these have primarily focused on male residents. This paper aims to conduct a longitudinal social network analysis of interpersonal interactions in a TC for women.

The data consists of a longitudinal directed social network of instances of feedback between 56 residents of a 16 bed TC for women over a period of 611 days. Mean age of the participants was 33.1 years, mean length of stay was 133.9 days and 91% of the participants were female. Feedback consisted of written affirmations for prosocial behavior and written corrections for contravening TC norms. Data was analyzed using a latent factor longitudinal social network model.

Residents react to peer intervention in complex ways. Residents reciprocated affirmations (B = 0.14, 95% confidence interval = 0.10, 0.18) and corrections (B = 0.20, 95% CI = 0.13, 0.25). Controlling for reciprocity, participants who received affirmations were more likely to affirm and correct peers (B = 0.10, 95% CI = 0.06, 0.15; B = 0.17, 95% CI = 0.10, 0.23), suggesting that the encouragement offered by affirmations leads to increased activity. Homophily by admission time occurred in both affirmations and corrections (B = 0.23, 95% CI = 0.10, 0.37; B = 0.51, 95% CI = 0.29, 0.74).

While affirmations and corrections serve as vehicles for behavioral reinforcement and social learning, they also allow residents to interact in ways that strengthen social bonds.

In this paper the effects of choosing dependent variables and cell face velocities on convergence of the SIMPLE algorithm are discussed. Using different velocity components as either dependent variables or cell‐face velocities, both convergent rate and calculation accuracy of the algorithm are compared and studied. A novel method, named “cross‐correction”, is developed to improve the convergence of the algorithm of using non‐orthogonal grids. Cases with benchmark and analytical solutions are used for numerical experiments and validation. The results show that, although different velocity components are employed as either dependent variables or cell face velocities, there is no obvious difference in both the convergent rates and numerical solutions. Moreover, the “cross‐correction” method is validated by computations with several first‐order and high‐order convection schemes; and the generality of convergence improvement achieved by the method is shown in the paper.

Weak-form rationality of fixed-event forecasts implies that forecast revisions should not be correlated. However, significant positive correlations between consecutive forecast revisions were found in most USDA forecasts for U.S. corn, soybeans, wheat, and cotton. This study developed a statistical procedure for correction of this inefficiency which takes into account the issue of outliers, the impact of forecast size and direction, and the stability of revision inefficiency. Findings suggest that the adjustment procedure has the highest potential for improving accuracy in corn, wheat, and cotton production forecasts.

Community policing has been around for at least two decades now and it is safe to say that it has become, in large part, more about managing disruptive subjects and virtuous citizens than preventing crime or disorder (Crank, 1994; DeLeon-Granados, 1999; Yngvesson, 1993). While the rhetoric of community may be succeeding where the policing policy is failing, the experience has certainly contributed to the growth of homologous efforts that include community prosecution and community correction. We see a criminal justice system pro-actively seeking to blur the boundaries between its institutions and the communities they work within and, all too often, without. In recent years, there has been a rapid growth in justice approaches that turn their attention toward the community. There are literally hundreds of examples of this trend, from offender-victim reconciliation projects in Vermont and Minneapolis to ‘beat probation’ in Madison, Wisconsin; from neighborhood-based prosecution centers in Portland, Oregon, and New York City, to community probation in Massachusetts. Of course, the most well-known version of community justice is community policing, but localized projects involving all components of the justice system have been widely promoted (Clear & Karp, 1998, p. 3).Like community policing and community prosecution, community correction programs generally focus on partnering with service providers and community groups in order to more finely calibrate their service delivery. For community corrections the recent focus has been on delivering re-entry programs and expanding the availability of intermediate sanctioning options. The sheriff (above) focuses on re-entry, to link jails and communities in two ways: extending the correctional continuum into power-poor communities and increasing political support for expanding the criminal justice system in more affluent communities. Even as fiscal stress translates into budget cuts in education, housing, drug treatment, and other services, the reach of the criminal justice system expands outside the fences as new community-based partnerships and inside the fences as an increasingly program-rich environment. These partnerships are, not surprisingly as we shall see, dominated by criminal justice professionals and dependent on coercive control techniques. Further, their budgets are growing with funds in previous eras earmarked for providing many of the same services in a social welfare, rather, than social control, service delivery context. While these budgetary trends map a macro political trend from an old democratic New Deal toward a new republican new deal network of patronage relationships (see Lyons, forthcoming 2004), this paper examines the micro politics of community corrections developing within an increasingly punitive American political-culture.