Clusters of Skeptical Consumers Based on Technology and AI Acceptance, Perception of Social Media Information and Celebrity Trend Setter

Pelău, Corina; Pop, Mihai I.; Ene, Irina; Lazar, Laura

doi:10.3390/jtaer16050069

Cited by 12 publications

(7 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Over the last few years, the need for a systematic and comprehensive approach to cognitive concerns in the design of sociotechnical systems has evolved as computerbased technologies have pushed the nature of operational work in a path where cognitive challenges predominate [81][82][83][84].…”

Section: Discussionmentioning

confidence: 99%

A Cognitive Systems Engineering Approach Using Unsupervised Fuzzy C-Means Technique, Exploratory Factor Analysis and Network Analysis—A Preliminary Statistical Investigation of the Bean Counter Profiling Scale Robustness

Rad

Cuc

Lile

et al. 2022

IJERPH

View full text Add to dashboard Cite

A bean counter is defined as an accountant or economist who makes financial decisions for a company or government, especially someone who wants to severely limit the amount of money spent. The rise of the bean counter in both public and private companies has motivated us to develop a Bean Counter Profiling Scale in order to further depict this personality typology in real organizational contexts. Since there are no scales to measure such traits in personnel, we have followed the methodological steps for elaborating the scale’s items from the available qualitative literature and further employed a cognitive systems engineering approach based on statistical architecture, employing cluster, factor and items network analysis to statistically depict the best mathematical design of the scale. The statistical architecture will further employ a hierarchical clustering analysis using the unsupervised fuzzy c-means technique, an exploratory factor analysis and items network analysis technique. The network analysis which employs the use of networks and graph theory is used to depict relations among items and to analyze the structures that emerge from the recurrence of these relations. During this preliminary investigation, all statistical techniques employed yielded a six-element structural architecture of the 68 items of the Bean Counter Profiling Scale. This research represents one of the first scale validation studies employing the fuzzy c-means technique along with a factor analysis comparative design.

show abstract

Section: Discussionmentioning

confidence: 99%

A Cognitive Systems Engineering Approach Using Unsupervised Fuzzy C-Means Technique, Exploratory Factor Analysis and Network Analysis—A Preliminary Statistical Investigation of the Bean Counter Profiling Scale Robustness

Rad

Cuc

Lile

et al. 2022

IJERPH

View full text Add to dashboard Cite

show abstract

“…Frequently used fallacies are the false dilemma, formal logical errors, bandwagon effect, false attribution, ad hominem fallacy, clickbait or stylistic flaws, rhetorical questions, and alter-native facts [34,[49][50][51]. However, it depends on the education level [51], the cognitive abilities [44,52], or the emotional state [53] in how far a reader believes in the presented rhetorical devices. According to [54], the information adoption is based on quality of the content, the quality of the expression of the information, and its utility.…”

Section: Trust In Online Newsmentioning

confidence: 99%

The Breaking News Effect and Its Impact on the Credibility and Trust in Information Posted on Social Media

et al. 2023

Self Cite

View full text Add to dashboard Cite

The development of social media has triggered important changes in our society and in the way consumers read and trust online information. The presence of consumers in the online environment exposes them to a greater extent to various instances of fake news, which are spread more or less intentionally. Sensational and breaking-news-style information are one of the ways in which consumers’ attention is attracted, by posting exaggerated or distorted information. The objective of our research is to determine the impact of sensational and breaking news headlines on content credibility. In a mediation model, we show that the perception of sensationalism mediates the relation between the presence of breaking news headlines and trust in the content of the information. Based on our proposed model, the existence of breaking news headlines increases the consumers’ perception of sensationalism and reduces trust in news content. These results have important implications for patterns of news consumption. If a piece of information is presented in a sensational way, it might attract more consumers’ attention in the short term, but in the long run it will reduce the credibility of its content. Based on our research, we recommend using sensational headlines with caution to maintain credibility.

show abstract

“…Another study demonstrates that some consumer groups can connect their skepticism about media information to other contemporary trends like the advancement of technology and artificial intelligence, the influence of celebrities as trendsetters, and the necessity of validating the information received, demonstrating an ability to critically analyze their information sources [19]. On the other hand, an increased level of loneliness has been observed among the victims who became continuous victims of cyberbullying misinformation in social media [20]. The impact of rumors and fake news in OSMs (online social media) created significance in developing mathematical models for studying rumor propagation within the networks.…”

Section: Introductionmentioning

confidence: 99%

From Fake Reviews to Fake News: A Novel Pandemic Model of Misinformation in Digital Networks

Govindankutty

Shynu

2023

JTAER

View full text Add to dashboard Cite

Digital networks and E-commerce platforms have had a profound effect on people’s personal, educational, and professional life all around the world. They offer space for advertising, sales, and disseminating news and information, even if they are frequently used for social marketing, interacting, and sharing thoughts among people. Currently, most E-commerce platforms utilize digital network space for advertisement and an increasing trend of social commerce is visible in all parts of the world. During the Post-COVID-19 pandemic, a rapid increase in digital media and E-commerce usage was observed in all parts of the world for personal and professional aspects. The increase in misinformation through these platforms is a major challenge that the current governments face today as rumors and fake news creates severe detrimental implications in society. In this work, we consider fake reviews and misinformation in online digital networks as a single disease, and thereby, by considering the recent trends in online social media marketing, we formulate a pandemic model for digital networks with a psychological state of human choice. The positivity and stability of the model are mathematically tested and validated. Our analysis and simulation prove that the system is stable and justifiable in the real-world digital environment. The generated pandemic model can be applied to assess the social and emotional intelligence of communities and consumers who are frequently exposed to misinformation and share fake news.

show abstract

Clusters of Skeptical Consumers Based on Technology and AI Acceptance, Perception of Social Media Information and Celebrity Trend Setter

Cited by 12 publications

References 50 publications

A Cognitive Systems Engineering Approach Using Unsupervised Fuzzy C-Means Technique, Exploratory Factor Analysis and Network Analysis—A Preliminary Statistical Investigation of the Bean Counter Profiling Scale Robustness

A Cognitive Systems Engineering Approach Using Unsupervised Fuzzy C-Means Technique, Exploratory Factor Analysis and Network Analysis—A Preliminary Statistical Investigation of the Bean Counter Profiling Scale Robustness

The Breaking News Effect and Its Impact on the Credibility and Trust in Information Posted on Social Media

From Fake Reviews to Fake News: A Novel Pandemic Model of Misinformation in Digital Networks

Contact Info

Product

Resources

About