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1.
《Information processing & management》2022,59(1):102739
Digital information exchange enables quick creation and sharing of information and thus changes existing habits. Social media is becoming the main source of news for end-users replacing traditional media. This also enables the proliferation of fake news, which misinforms readers and is used to serve the interests of the creators. As a result, automated fake news detection systems are attracting attention. However, automatic fake news detection presents a major challenge; content evaluation is increasingly becoming the responsibility of the end-user. Thus, in the present study we used information quality (IQ) as an instrument to investigate how users can detect fake news. Specifically, we examined how users perceive fake news in the form of shorter paragraphs on individual IQ dimensions. We also investigated which user characteristics might affect fake news detection. We performed an empirical study with 1123 users, who evaluated randomly generated stories with statements of various level of correctness by individual IQ dimensions. The results reveal that IQ can be used as a tool for fake news detection. Our findings show that (1) domain knowledge has a positive impact on fake news detection; (2) education in combination with domain knowledge improves fake news detection; and (3) personality trait conscientiousness contributes significantly to fake news detection in all dimensions. 相似文献
2.
We investigate how universities’ research quality shapes their engagement with industry. Previous research has predominantly found a positive relationship between academics’ research quality and their commercialization activities. Here we use industry involvement measures that are broader than commercialization and indicate actual collaboration, i.e. collaborative research, contract research and consulting. We hypothesise that the relationship between faculty quality and industry engagement differs across disciplines, depending on complementarities between industrial and academic work, and resource requirements. Using a dataset covering all UK universities, we find that in technology-oriented disciplines, departmental faculty quality is positively related to industry involvement. In the medical and biological sciences we find a positive effect of departmental faculty quality but establish that this does not apply to star scientists. In the social sciences, we find some support for a negative relationship between faculty quality and particularly the more applied forms of industry involvement. The implication for science policy makers and university managers is that differentiated approaches to promoting university-industry relationships are required. 相似文献
3.
This paper uses patent citation data to analyze the quality of university technology across European regions. The empirical analysis draws on a panel dataset of 4580 European university-owned patents classified by 202 European regions over the period 1998-2004. The methodology involves a multilevel framework to identify the effects of factors at three hierarchical levels (individual, university, and regional) on the quality of university patenting. The results suggest that regional factors, such as the level of development, industrial potential, and regional higher education R&D expenditure, do not play any significant role in determining the quality of European university patents. We instead find that the factors affecting patent quality stem from their specific characteristics. We also find that university size does not explain the quality of patents. However, there is significant unobserved heterogeneity at the university level in all models, suggesting that differences in other university characteristics explain a substantial part of the variance in patent quality. 相似文献
4.
Pilar Fernandez-Calle Sandra Pelaz Paloma Oliver Maria Jose Alcaide Ruben Gomez-Rioja Antonio Buno Jose Manuel Iturzaeta 《Biochemia medica : ?asopis Hrvatskoga dru?tva medicinskih biokemi?ara / HDMB》2013,23(1):83-95