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Domain-Adversarial Based Model with Phonological Knowledge for Cross-Lingual Speech Recognition
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In: http://infoscience.epfl.ch/record/291292 (2022)
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Online Literacy Instruction for Young Korean Dual Language Learners in General Education
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In: J Behav Educ (2022)
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From Two to One: A New Scene Text Recognizer with Visual Language Modeling Network ...
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Temporal trends in incidence and mortality rates of laryngeal cancer at the global, regional and national levels, 1990–2017
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In: BMJ Open (2021)
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Development and Validation of an Unethical Professional Behavior Tendencies Scale for Student Teachers
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In: Front Psychol (2021)
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Pragmatics to Reveal Intent in Social Media Peer Interactions: Mixed Methods Study
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In: J Med Internet Res (2021)
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Abstract:
BACKGROUND: Online health communities (OHCs) have emerged as the leading venues for behavior change and health-related information seeking. The soul and success of these digital platforms lie in their ability to foster social togetherness and a sense of community by providing personalized support. However, we have a minimal understanding of how conversational posts in these settings lead to collaborative societies and ultimately result in positive health changes through social influence. OBJECTIVE: Our objective is to develop a content-specific and intent-sensitive methodological framework for analyzing peer interactions in OHCs. METHODS: We developed and applied a mixed-methods approach to understand the manifestation of expressions in peer interactions in OHCs. We applied our approach to describe online social dialogue in the context of two online communities, QuitNet (QN) and the American Diabetes Association (ADA) support community. A total of 3011 randomly selected peer interactions (n=2005 from QN, n=1006 from ADA) were analyzed. Specifically, we conducted thematic analysis to characterize communication content and linguistic expressions (speech acts) embedded within the two data sets. We also developed an empirical user persona based on their engagement levels and behavior profiles. Further, we examined the association between speech acts and communication themes across observed tiers of user engagement and self-reported behavior profiles using the chi-square test or the Fisher test. RESULTS: Although social support, the most prevalent communication theme in both communities, was expressed in several subtle manners, the prevalence of emotions was higher in the tobacco cessation community and assertions were higher in the diabetes self-management (DSM) community. Specific communication theme-speech act relationships were revealed, such as the social support theme was significantly associated (P<.05) with 9 speech acts from a total of 10 speech acts (ie, assertion, commissive, declarative, desire, directive, expressive, question, stance, and statement) within the QN community. Only four speech acts (ie, commissive, emotion, expressive, and stance) were significantly associated (P<.05) with the social support theme in the ADA community. The speech acts were also significantly associated with the users’ abstinence status within the QN community and with the users’ lifestyle status within the ADA community (P<.05). CONCLUSIONS: Such an overlay of communication intent implicit in online peer interactions alongside content-specific theory-linked characterizations of social media discourse can inform the development of effective digital health technologies in the field of health promotion and behavior change. Our analysis revealed a rich gradient of expressions across a standardized thematic vocabulary, with a distinct variation in emotional and informational needs, depending on the behavioral and disease management profiles within and across the communities. This signifies the need and opportunities for coupling pragmatic messaging in digital therapeutics and care management pathways for personalized support.
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Original Paper
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URL: https://doi.org/10.2196/32167
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8663565/
http://www.ncbi.nlm.nih.gov/pubmed/34787578
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| 10 |
The second language acquisition of the Chinese aspect marker "le"
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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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| 12 |
Lens on China: Intermediate and Advanced Readings on Film for Learning Chinese
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In: Faculty Books (2020)
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Neural representations of the concepts in simple sentences: Concept activation prediction and context effects ...
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Neural representations of the concepts in simple sentences: Concept activation prediction and context effects ...
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The role of growth mindset, self-efficacy and intrinsic value in self-regulated learning and English language learning achievements ...
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The role of growth mindset, self-efficacy and intrinsic value in self-regulated learning and English language learning achievements ...
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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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Conversational topics of social media messages associated with state-level mental distress rates
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In: J Ment Health (2020)
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