Search (6 results, page 1 of 1)

  • × author_ss:"Fan, W."
  • × year_i:[2020 TO 2030}
  • × language_ss:"e"
  1. Wang, X.; Zhang, M.; Fan, W.; Zhao, K.: Understanding the spread of COVID-19 misinformation on social media : the effects of topics and a political leader's nudge (2022) 0.00 
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    Abstract
    The spread of misinformation on social media has become a major societal issue during recent years. In this work, we used the ongoing COVID-19 pandemic as a case study to systematically investigate factors associated with the spread of multi-topic misinformation related to one event on social media based on the heuristic-systematic model. Among factors related to systematic processing of information, we discovered that the topics of a misinformation story matter, with conspiracy theories being the most likely to be retweeted. As for factors related to heuristic processing of information, such as when citizens look up to their leaders during such a crisis, our results demonstrated that behaviors of a political leader, former US President Donald J. Trump, may have nudged people's sharing of COVID-19 misinformation. Outcomes of this study help social media platform and users better understand and prevent the spread of misinformation on social media.
    Source
    Journal of the Association for Information Science and Technology. 73(2022) no.5, S.726-737
  2. Liu, Q.; Yang, Z.; Cai, X.; Du, Q.; Fan, W.: ¬The more, the better? : The effect of feedback and user's past successes on idea implementation in open innovation communities (2022) 0.00 
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    Abstract
    Establishing open innovation communities has evolved as an important product innovation and development strategy for companies. Yet, the success of such communities relies on the successful implementation of many user-submitted ideas. Although extant literature has examined the impact of user experience and idea characteristics on idea implementation, little is known from the information input perspective, for example, feedback. Based on the information overload theory and knowledge content framework, we propose that the amount and types of feedback content have different effects on the likelihood of subsequent idea implementation, and such effects depend on the level of users' success experience. We tested the research model using a panel logistic model with the data of MIUI Forum. The study results revealed that the amount of feedback has an inverted U-shaped effect on idea implementation, and such effect is moderated by a user's past success. Moreover, the type of feedback content (cost and benefit-related feedback and functionality-related feedback) positively affects idea implementation, and a user's past success positively moderated the above effects. Finally, we discuss the theoretical and practical implications, limitations of our research, and suggestions for future research.
    Source
    Journal of the Association for Information Science and Technology. 73(2022) no.3, S.376-392
  3. Zhang, Y.; Li, X.; Fan, W.: User adoption of physician's replies in an online health community : an empirical study (2020) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 71(2020) no.10, S.1179-1191
  4. Li, W.; Zheng, Y.; Zhan, Y.; Feng, R.; Zhang, T.; Fan, W.: Cross-modal retrieval with dual multi-angle self-attention (2021) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 72(2021) no.1, S.46-65
  5. Du, Q.; Li, J.; Du, Y.; Wang, G.A.; Fan, W.: Predicting crowdfunding project success based on backers' language preferences (2021) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 72(2021) no.12, S.1558-1574
  6. Liu, J.; Zhou, Z.; Gao, M.; Tang, J.; Fan, W.: Aspect sentiment mining of short bullet screen comments from online TV series (2023) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 74(2023) no.8, S.1026-1045

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