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Article

Jeannette Paschen

The creation and dissemination of fake news can have severe consequences for a company’s brand. Researchers, policymakers and practitioners are eagerly searching for…

Abstract

Purpose

The creation and dissemination of fake news can have severe consequences for a company’s brand. Researchers, policymakers and practitioners are eagerly searching for solutions to get us out of the “fake news crisis”. Here, one approach is to use automated tools, such as artificial intelligence (AI) algorithms, to support managers in identifying fake news. The study in this paper demonstrates how AI with its ability to analyze vast amounts of unstructured data, can help us tell apart fake and real news content. Using an AI application, this study examines if and how the emotional appeal, i.e., sentiment valence and strength of specific emotions, in fake news content differs from that in real news content. This is important to understand, as messages with a strong emotional appeal can influence how content is consumed, processed and shared by consumers.

Design/methodology/approach

The study analyzes a data set of 150 real and fake news articles using an AI application, to test for differences in the emotional appeal in the titles and the text body between fake news and real news content.

Findings

The results suggest that titles are a strong differentiator on emotions between fake and real news and that fake news titles are substantially more negative than real news titles. In addition, the results reveal that the text body of fake news is substantially higher in displaying specific negative emotions, such as disgust and anger, and lower in displaying positive emotions, such as joy.

Originality/value

This is the first empirical study that examines the emotional appeal of fake and real news content with respect to the prevalence and strength of specific emotion dimensions, thus adding to the literature on fake news identification and marketing communications. In addition, this paper provides marketing communications professionals with a practical approach to identify fake news using AI.

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Article

SRINIVAS KODIYALAM, S. ADALI and I.S. SADEK

The optimal thickness distribution of a two‐span continuous beam is determined with the objectives of minimizing the maximum stress, maximizing the fundamental frequency…

Abstract

The optimal thickness distribution of a two‐span continuous beam is determined with the objectives of minimizing the maximum stress, maximizing the fundamental frequency and frequency separation between adjacent frequencies. The self‐weight of the beam is included in the computations. The multiobjective design problem is solved by using the concept of Pareto optimality. The beam thickness is approximated by constant splines. The stress distribution and the frequencies are determined by the finite element method. The optimization of the beam is carried out by the feasible direction method and by employing a quadratic approximation of the thickness function. Numerical results are given for two‐objective design problems. Optimal trade‐off curves, thickness distributions and stress distributions of optimally designed beams are presented in graphical form. The effects of self‐weight and different design objectives on the thickness distribution are investigated.

Details

Engineering Computations, vol. 9 no. 5
Type: Research Article
ISSN: 0264-4401

Keywords

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Article

M. Walker, T. Reiss, S. Adali and P.M. Weaver

The optimal design of a laminated cylindrical shell is obtained with the objectives defined as the maximisation of the axial and torsional buckling loads. The ply angle is…

Abstract

The optimal design of a laminated cylindrical shell is obtained with the objectives defined as the maximisation of the axial and torsional buckling loads. The ply angle is taken as the design variable. The symbolic computational software package MATHEMATICA is used in the implementation and solution of the problem. This approach simplifies the computational procedure as well as the implementation of the analysis/optimisation routine. Results are given illustrating the dependence of the optimal fiber angle on the cylinder length and radius. It is shown that a general purpose computer algebra system like MATHEMATICA is well suited to solve small boundary value problems such as structural design optimisation involving composite materials.

Details

Engineering Computations, vol. 15 no. 2
Type: Research Article
ISSN: 0264-4401

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Article

Mohammad Malikan

The purpose of this paper is to predict the mechanical behavior of a piezoelectric nanoplate under shear stability by taking electric voltage into account in thermal environment.

Abstract

Purpose

The purpose of this paper is to predict the mechanical behavior of a piezoelectric nanoplate under shear stability by taking electric voltage into account in thermal environment.

Design/methodology/approach

Simplified first-order shear deformation theory has been used as a displacement field. Modified couple stress theory has been applied for considering small-size effects. An analytical solution has been taken into account for various boundary conditions.

Findings

The length scale impact on the results of any boundary conditions increases with an increase in l parameter. The effect of external electric voltage on the critical shear load is more than room temperature effects. With increasing aspect ratio the critical shear load decreases and external electric voltage becomes more impressive. By considering piezoelectric nanoplates, it is proved that the temperature rise cannot become a sensitive factor on the buckling behavior. The length scale parameter has more effect for more flexible boundary conditions than others. By considering nanosize, the consideration has led to much bigger critical load vs macro plate.

Originality/value

In the current paper for the first time the simplified first-order shear deformation theory is used for obtaining governing equations by using nonlinear strains for shear buckling of a piezoelectric nanoplate. The couple stress theory for the first time is applied on the nonlinear first-order shear deformation theory. For the first time, the thermal environment effects are considered on shear stability of a piezoelectric nanoplate.

Details

Multidiscipline Modeling in Materials and Structures, vol. 14 no. 1
Type: Research Article
ISSN: 1573-6105

Keywords

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Article

Mouafo Teifouet Armand Robinson and Sarp Adali

Cantilever plates subject to axial flow can lose stability by flutter and properties such as viscoelasticity and laminar friction affect dynamic stability. The purpose of…

Abstract

Purpose

Cantilever plates subject to axial flow can lose stability by flutter and properties such as viscoelasticity and laminar friction affect dynamic stability. The purpose of the present study is to investigate the dynamic stability of viscoelastic cantilever plates subject to axial flow by using the differential quadrature method.

Design/methodology/approach

Equation of motion of the viscoelastic plate is derived by implementing Kelvin-Voigt model of viscoelasticity and applying inverse Laplace transformation. The differential quadrature method is employed to discretize the equation of motion and the boundary conditions leading to a generalized eigenvalue problem. The solution is verified using the existing results in the literature and numerical results are given for critical flow velocities

Findings

It is observed that higher aspect ratios lead to imaginary part of third frequency becoming negative and causing single-mode flutter instability. It was found that flutter instability does not occur at low aspect ratios. Moreover the friction coefficient is found to affect the magnitude of critical flow velocity, however, its effect on the stability behaviour is minor.

Originality/value

The effects of various problem parameters on the dynamic stability of a viscoelastic plate subject to axial flow were established. It was shown that laminar friction coefficient of the flowing fluid increases the critical fluid velocity and higher aspect ratios lead to single-mode flutter instability. The effect of increasing damping of viscoelastic material on the flutter instability was quantified and it was found that increasing viscoelasticity can lead to divergence instability.

Details

Engineering Computations, vol. 34 no. 4
Type: Research Article
ISSN: 0264-4401

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Article

Izzet Cagdas and Sarp Adali

The purpose of this paper is to present the optimal design of a simply supported variable curvature laminated angle-ply composite panel under uniaxial compression. The…

Abstract

Purpose

The purpose of this paper is to present the optimal design of a simply supported variable curvature laminated angle-ply composite panel under uniaxial compression. The objective is to maximize the failure load which is defined as the minimum of the buckling load and the first-ply failure load.

Design/methodology/approach

The numerical results presented are obtained using a shear deformable degenerated shell finite element, a brief formulation of which is given. Some verification problems are solved and a convergence study is conducted in order to assess the accuracy of the element. The design procedure is presented and optimization results are given for a simply supported symmetric eight layer angle-ply panel composed of a flat and two cylindrical sections.

Findings

The influences of the stacking sequence and panel thickness on optimization are investigated and the effects of various problem parameters on the optimization procedure are discussed.

Originality/value

The paper shows that the load carrying capacity of thicker panels is considerably reduced when the first-ply failure constraint is taken into account.

Details

Engineering Computations: International Journal for Computer-Aided Engineering and Software, vol. 29 no. 1
Type: Research Article
ISSN: 0264-4401

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Article

Tsung-Yi Chen, Meng-Che Tsai and Yuh-Min Chen

For an enterprise, it is essential to win as many customers as possible. The key to successfully winning customers is often determined by understanding the personality…

Abstract

Purpose

For an enterprise, it is essential to win as many customers as possible. The key to successfully winning customers is often determined by understanding the personality characteristics of the object of communication in order to employ an effective communication strategy. An enterprise needs to obtain the personality information of target or potential customers. However, the traditional method for personality evaluation is extremely costly in terms of time and labor, and it cannot acquire customer personality information without their awareness. Therefore, the manner in which to effectively conduct automated personality predictions for a large number of objects is an important issue. The paper aims to discuss these issues.

Design/methodology/approach

The diverse social media that have emerged in recent years represent a digital platform on which users can publicly deliver speeches and interact with others. Thus, social media may be able to serve the needs of automated personality predictions. Based on user data of Facebook, the main social media platform around the world, this research developed a method for predicting personality types based on interaction logs.

Findings

Experimental results show that the Naïve Bayes classification algorithm combined with a feature selection algorithm produces the best performance for predicting personality types, with 70-80 percent accuracy.

Research limitations/implications

In this research, the dominance, inducement, submission, and compliance (DISC) theory was used to determine personality types. Some specific limitations were encountered. As Facebook was used as the main data source, it was necessary to obtain related data via Facebook’s API (FB API). However, the data types accessible via FB API are very limited.

Practical implications

This research serves to build a universal model for social media interaction, and can be used to propose an efficient method for designing interaction features.

Originality/value

This research has developed an approach for automatically predicting the personality types of network users based on their Facebook interactions.

Details

Online Information Review, vol. 40 no. 7
Type: Research Article
ISSN: 1468-4527

Keywords

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Article

Alhanouf Abdulrahman Saleh Alsuwailem and Abdul Khader Jilani Saudagar

This paper aims to understand and document the state of the art in the anti-money laundering (AML) systems literature.

Abstract

Purpose

This paper aims to understand and document the state of the art in the anti-money laundering (AML) systems literature.

Design/methodology/approach

A systematic literature review (SLR) is performed using the Saudi Digital Library. The outputs published as conference proceedings, workshop proceedings, journal articles and books were all considered. The final sample size after omitting out-of-scope selections was 27 documents, which mainly span from 2015 to 2020.

Findings

The sample is discussed based on a categorization, which demarcates solutions, machine learning, data sources, evaluation methods, implementation tools, sampling techniques and regions of study.

Originality/value

This SLR could serve as a useful basis for researchers and salient decision-makers, who are seeking to understand the nature and extent of the currently available research into AML systems.

Details

Journal of Money Laundering Control, vol. 23 no. 4
Type: Research Article
ISSN: 1368-5201

Keywords

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Book part

Alla Kushniryk, Stanislav Orlov and Natalie Doyle Oldfield

This chapter draws on both theoretical and empirical literature on trust and discusses the role of trust in strategic communication. It also examines the importance of…

Abstract

This chapter draws on both theoretical and empirical literature on trust and discusses the role of trust in strategic communication. It also examines the importance of trust for organizational success, the dimensions of trust and distrust and discusses quantifiable proxies to measure trust and distrust on social media. The theoretically driven dimensions of trust and distrust served as a framework to examine how Boeing and Airbus use Twitter to communicate with their stakeholders and publics. 6,926 Twitter messages were examined in the process of content analysis. The following proxies of stakeholder and publics' trust in an organization were identified for Twitter: number of followers, friends and likes; frequency of online activities; length of messages; use of hashtags, links, exclamation and questions marks; and use of specific words and phrases in messages. Two separate lists of words and phrases were created, one for proxies of trust and one for proxies of distrust. In addition, the following trust building actions that organization can engage in on Twitter were identified: listening and engaging in dialogue by following users, mentioning users in messages, replying to enquiries, providing and encouraging feedback.

Details

Joy
Type: Book
ISBN: 978-1-80043-240-6

Keywords

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Article

Jean Pierre Guy Gashami, Christian Fernando Libaque-Saenz and Younghoon Chang

Cloud computing has disrupted the information technology (IT) industry. Associated benefits such as flexibility, payment on an on-demand basis and the lack of no need for…

Abstract

Purpose

Cloud computing has disrupted the information technology (IT) industry. Associated benefits such as flexibility, payment on an on-demand basis and the lack of no need for IT staff are among the reasons for its adoption. However, these services represent not only benefits to users but also threats, with cybersecurity issues being the biggest roadblock to cloud computing success. Although ensuring data security on the cloud has been the responsibility of providers, these threats seem to be unavoidable. In such circumstances, both providers and users have to coordinate efforts to minimize negative consequences that might occur from these events. The purpose of this paper is to assess how providers and users can rely on social media to communicate risky events.

Design/methodology/approach

Based on the Situational Theory of Publics and trust, the authors developed three research questions to analyze stakeholders’ communication patterns after a security breach. By gathering Twitter data, the authors analyzed the data security breach faced by the Premera Blue Cross’ Web application.

Findings

The results indicate that Premera acted as the main source of information for Twitter users, while trustworthy actors such as IT security firms, specialists and local news media acted as intermediaries, creating small communities around them. Theoretical and practical implications are also discussed.

Originality/value

Social media could be used for diffusing information of potential threats; no research has assessed its usage in a cloud-based security breach context. The study aims to fill this gap and propose a framework to engage cloud users in co-securing their data along with cloud providers when they face similar situations.

Details

Industrial Management & Data Systems, vol. 120 no. 3
Type: Research Article
ISSN: 0263-5577

Keywords

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