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  • × author_ss:"Song, S."
  1. Zhang, Y.; Liu, J.; Song, S.: ¬The design and evaluation of a nudge-based interface to facilitate consumers' evaluation of online health information credibility (2023) 0.02 
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    Abstract
    Evaluating the quality of online health information (OHI) is a major challenge facing consumers. We designed PageGraph, an interface that displays quality indicators and associated values for a webpage, based on credibility evaluation models, the nudge theory, and existing empirical research concerning professionals' and consumers' evaluation of OHI quality. A qualitative evaluation of the interface with 16 participants revealed that PageGraph rendered the information and presentation nudges as intended. It provided the participants with easier access to quality indicators, encouraged fresh angles to assess information credibility, provided an evaluation framework, and encouraged validation of initial judgments. We then conducted a quantitative evaluation of the interface involving 60 participants using a between-subject experimental design. The control group used a regular web browser and evaluated the credibility of 12 preselected webpages, whereas the experimental group evaluated the same webpages with the assistance of PageGraph. PageGraph did not significantly influence participants' evaluation results. The results may be attributed to the insufficiency of the saliency and structure of the nudges implemented and the webpage stimuli's lack of sensitivity to the intervention. Future directions for applying nudges to support OHI evaluation were discussed.
    Date
    22. 6.2023 18:18:34
    Type
    a
  2. Zhao, Y.C.; Peng, X.; Liu, Z.; Song, S.; Hansen, P.: Factors that affect asker's pay intention in trilateral payment-based social Q&A platforms : from a benefit and cost perspective (2020) 0.00 
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    Abstract
    More and more social Q&A platforms are launching a new business model to monetize online knowledge. This monetizing process introduces a more complicated cost and benefit tradeoff to users, especially for askers' concerns. Much of the previous research was conducted in the context of free-based Q&A platform, which hardly explains the triggers that motivate askers' pay intention. Based on the theories of social exchange and social capital, this study aims to identify and examine the antecedents of askers' pay intention from the perspective of benefit and cost. We empirically test our predictions based on survey data collected from 322 actual askers in a well-known trilateral payment-based social Q&A platform in China. The results by partial least squares (PLS) analysis indicate that besides noneconomic benefits including self-enhancement, social support, and entertainment, financial factors such as cost and benefit have significant influences on the perceived value of using trilateral payment-based Q&A platforms. More important, we further identify that the effect of financial benefit is moderated by perceived reciprocity belief, and the effect of perceived value is moderated by perceived trust in answerers. Our findings contribute to the previous literature by proposing a theoretical model that explains askers' behavioral intention, and the practical implications for payment-based Q&A service providers and participants.
    Type
    a
  3. Zhao, Y.(C.); Xu, X.; Peng, X.; Song, S.: Understanding the determinants and dynamic process of user exodus in social networking sites : evidence from Kaixin001 (2018) 0.00 
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    Abstract
    Understanding the factors and mechanism that affect the users' abandon behaviors is necessary for the sustained use of Social Networking Sites (SNSs). This study focuses on a special SNS discontinuance phenomenon-user exodus. Compared to individual discontinuance behavior studied in prior research, the SNS user exodus possesses its own characteristics: a huge magnitude of users abandon a given SNS product in a very short time. Given the fatal blow of exodus to SNS providers, this exploratory research seeks to unravel why and how the SNS user exodus occurs. Specifically, we conducted a mixed-method research combining laddering interview and network analysis. Drawing on the means-end chain theory, laddering interviews were first used to collect data from discontinuers of a Chinese SNS, Kaixin001, which has experienced a severe user dropout. Then we identified various factors triggering user exodus by content analysis. Last, network analysis was employed to establish the connections between various attributes, consequences, and values. The results showed that user exodus in SNS is strongly related to three types of value: functional, affective, and social value. More important, we also emphasized the dynamics process of exodus by highlighting the role of lurking. Possible contributions and implications of our findings are discussed.
    Type
    a

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