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Multilingual learning and cognitive restructuring: The role of audiovisual media exposure in Cantonese–English–Japanese multilinguals’ motion event cognition ...
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Multilingual learning and cognitive restructuring: The role of audiovisual media exposure in Cantonese–English–Japanese multilinguals’ motion event cognition ...
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Study on TCM Tongue Image Segmentation Model Based on Convolutional Neural Network Fused with Superpixel
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In: Evid Based Complement Alternat Med (2022)
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Two languages, one mind: the effects of language learning on motion event processing in early Cantonese-English bilinguals
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In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
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Cross-status Communication and Project Outcomesin OSS Development A Language Style Matching Perspective ...
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Two languages, one mind: the effects of language learning on motion event processing in early Cantonese-English bilinguals ...
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Two languages, one mind: the effects of language learning on motion event processing in early Cantonese-English bilinguals ...
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Translation and adaptation of the EORTC QLQ-LC 29 for use in Chinese patients with lung cancer
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In: J Patient Rep Outcomes (2021)
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The comparison of the wisdom view in Chinese and Western cultures
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In: Curr Psychol (2021)
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Factors Driving the Popularity and Virality of COVID-19 Vaccine Discourse on Twitter: Text Mining and Data Visualization Study
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In: JMIR Public Health Surveill (2021)
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Abstract:
BACKGROUND: COVID-19 vaccination is considered a critical prevention measure to help end the pandemic. Social media platforms such as Twitter have played an important role in the public discussion about COVID-19 vaccines. OBJECTIVE: The aim of this study was to investigate message-level drivers of the popularity and virality of tweets about COVID-19 vaccines using machine-based text-mining techniques. We further aimed to examine the topic communities of the most liked and most retweeted tweets using network analysis and visualization. METHODS: We collected US-based English-language public tweets about COVID-19 vaccines from January 1, 2020, to April 30, 2021 (N=501,531). Topic modeling and sentiment analysis were used to identify latent topics and valence, which together with autoextracted information about media presence, linguistic features, and account verification were used in regression models to predict likes and retweets. Among the 2500 most liked tweets and 2500 most retweeted tweets, network analysis and visualization were used to detect topic communities and present the relationship between the topics and the tweets. RESULTS: Topic modeling yielded 12 topics. The regression analyses showed that 8 topics positively predicted likes and 7 topics positively predicted retweets, among which the topic of vaccine development and people’s views and that of vaccine efficacy and rollout had relatively larger effects. Network analysis and visualization revealed that the 2500 most liked and most retweeted retweets clustered around the topics of vaccine access, vaccine efficacy and rollout, vaccine development and people’s views, and vaccination status. The overall valence of the tweets was positive. Positive valence increased likes, but valence did not affect retweets. Media (photo, video, gif) presence and account verification increased likes and retweets. Linguistic features had mixed effects on likes and retweets. CONCLUSIONS: This study suggests the public interest in and demand for information about vaccine development and people’s views, and about vaccine efficacy and rollout. These topics, along with the use of media and verified accounts, have enhanced the popularity and virality of tweets. These topics could be addressed in vaccine campaigns to help the diffusion of content on Twitter.
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Original Paper
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URL: https://doi.org/10.2196/32814
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8647971/
http://www.ncbi.nlm.nih.gov/pubmed/34665761
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Measurement of single-diffractive dijet production in proton-proton collisions at $\sqrt{s} =$ 8 TeV with the CMS and TOTEM experiments
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In: Eur.Phys.J.C ; https://hal.archives-ouvertes.fr/hal-02507664 ; Eur.Phys.J.C, 2020, 80 (12), pp.1164. ⟨10.1140/epjc/s10052-020-08562-y⟩ (2020)
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Can You be More Social? Injecting Politeness and Positivity into Task-Oriented Conversational Agents ...
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The complexity of control shift for learner autonomy: A mixed-method case study of Chinese EFL teachers’ practice and cognition ...
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The complexity of control shift for learner autonomy: A mixed-method case study of Chinese EFL teachers’ practice and cognition ...
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1_Appendices – Supplemental material for The complexity of control shift for learner autonomy: A mixed-method case study of Chinese EFL teachers’ practice and cognition ...
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1_Appendices – Supplemental material for The complexity of control shift for learner autonomy: A mixed-method case study of Chinese EFL teachers’ practice and cognition ...
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Measurement of the top quark mass with lepton+jets final states using $\mathrm {p}$ $\mathrm {p}$ collisions at $\sqrt{s}=13\,\text {TeV} $
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In: http://infoscience.epfl.ch/record/275278 (2020)
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Diagnosis and grading of radiographic osteoporotic vertebral deformity by general radiologists after a brief self-learning period
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In: J Thorac Dis (2020)
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