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Within and Beyond Stereotypes of Arab Women: A Corpus-based Approach to Jordanian Women’s Portrayal in English Digital News
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In: Journal of International Women's Studies (2022)
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Η παρουσίαση της ελληνικής εκπροσώπησης στους Ολυμπιακούς Αγώνες του Τόκιο (2020) από ιστοσελίδες (ή ιστοτόπους) αθλητικού περιεχομένου ...
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A Cross-Linguistic Study of Metaphor Variation in Promotional Discourse of the Tourist Sector in Spanish, English and German: Implications for Translation
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Risorse in rete sull'analisi dei testi e la ricerca qualitativa (Online resources on text analysis and qualitative research). ...
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Risorse in rete sull'analisi dei testi e la ricerca qualitativa (Online resources on text analysis and qualitative research). ...
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Examining Different Factors in Web-Based Patients’ Decision-Making Process: Systematic Review on Digital Platforms for Clinical Decision Support System
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In: International Journal of Environmental Research and Public Health ; Volume 18 ; Issue 21 (2021)
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Exploring the Impact of Linguistic Signals Transmission on Patients’ Health Consultation Choice: Web Mining of Online Reviews
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In: International Journal of Environmental Research and Public Health ; Volume 18 ; Issue 19 (2021)
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Abstract:
Background: Patients face difficulties identifying appropriate physicians owing to the sizeable quantity and uneven quality of information in physician rating websites. Therefore, an increasing dependence of consumers on online platforms as a source of information for decision-making has given rise to the need for further research into the quality of information in the form of online physician reviews (OPRs). Methods: Drawing on the signaling theory, this study develops a theoretical model to examine how linguistic signals (affective signals and informative signals) in physician rating websites affect consumers’ decision making. The hypotheses are tested using 5521 physicians’ six-month data drawn from two leading health rating platforms in the U.S (i.e., Healthgrades.com and Vitals.com) during the COVID-19 pandemic. A sentic computing-based sentiment analysis framework is used to implicitly analyze patients’ opinions regarding their treatment choice. Results: The results indicate that negative sentiment, review readability, review depth, review spelling, and information helpfulness play a significant role in inducing patients’ decision-making. The influence of negative sentiment, review depth on patients’ treatment choice was indirectly mediated by information helpfulness. Conclusions: This paper is a first step toward the understanding of the linguistic characteristics of information relating to the patient experience, particularly the emerging field of online health behavior and signaling theory. It is also the first effort to our knowledge that employs sentic computing-based sentiment analysis in this context and provides implications for practice.
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Keyword:
consumer decision-making; COVID-19; online review helpfulness; physician rating websites; sentiment analysis; signaling theory
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URL: https://doi.org/10.3390/ijerph18199969
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Accessibility Asymmetries in Web Localisation
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In: 7th International IATIS Conference (2021) (2021)
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Blowing the Whistle on Opioid Overprescription: Insights from Patient Feedback on Physician Rating Websites
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Generation-Blindness and the COVID-19 Websites of Highly Selective Universities
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In: Penn Education and Inequality Working Papers (2021)
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| 11 |
A multimodal and cross-cultural analysis of farmhouse holidays websites. A comparison between Italy, Germany and Austria ...
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Factions: acts of worldbuilding on social media platforms ...
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Exploring the Dominance of the English Language on the Websites of EU Countries ...
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Exploring the Dominance of the English Language on the Websites of EU Countries ...
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Exploring the Dominance of the English Language on the Websites of EU Countries
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In: Future Internet ; Volume 12 ; Issue 4 (2020)
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"Health for kids". Multimodal resources for popularising health knowledge on websites for children ...
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Análisis de la difusión de información multilingüe en los sitios web corporativos de las pymes andaluzas del sector sanitario.
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Recomendaciones para la localización de sitios web en el contexto corporativo: las pymes españolas
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Die Lokalisierung institutioneller Websites am Beispiel europäischer Informationsplattformen zum Thema Immigration
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“Health for kids”. Multimodal resources for popularising health knowledge on websites for children
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In: Lingue e Linguaggi; Volume 40 (2020) - Special Issue; 67-93 (2020)
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