IDEAS home Printed from https://ideas.repec.org/a/sae/sagope/v13y2023i4p21582440231193346.html
   My bibliography  Save this article

â€œè¿™ä¸ªçœŸçš„ä¸ å¥½è¯´.†(It is Hard to Say): Positioning, Graphicons, and Culture: A Multimodal Discourse Analysis of a WeChat Discussion

Author

Listed:
  • Min Wang
  • Mary McVee
  • Jingjing Ding

Abstract

This article examined the intersection and interaction among positioning, communication modes, and culture by taking positioning theory as a theoretical framework. Data were collected from a WeChat discussion group where three Chinese international students engaged in a community of English as a second language (L2) literacies. A multimodal discourse analysis reveals that three WeChat group members creatively, freely, and deliberately used verbal language and graphicons along with their cultural beliefs and situational contexts to construct, negotiate, and sometimes reject positions. Findings also show that three types of self-other positioning were frequently constructed and negotiated through their discussions, such as the “ Self-Agreed-to-Other ,†“ Self-Opposed-to-Other ,†and “ Self-Complained-to-Other †positioning. The “ Self-Agreed-with-Other†positioning was explicitly conveyed, but the “ Self-Opposed-to-Other†positioning was implicitly expressed, which can be attributed to one of the Chinese cultural values: face ( mianzi ). In addition, graphicons, such as emojis and stickers, were used to challenge first-order positioning and negotiate second-order positioning. Also, the semiotic sign @ used to specify WeChat message recipients performed illocutionary acts as including someone or excluding them from the discussion based on a specific interactional discourse. Graphicons, collectively and sometimes independently, were utilized to contribute to positions that not only provided or limited opportunities for L2 literacies practice but also invited or sometimes rejected community memberships. Future research on the incongruent verbal and nonverbal expression for different types of positioning is needed, especially when verbal language and graphicons are used collaboratively to design meaning.

Suggested Citation

  • Min Wang & Mary McVee & Jingjing Ding, 2023. "â€œè¿™ä¸ªçœŸçš„ä¸ å¥½è¯´.†(It is Hard to Say): Positioning, Graphicons, and Culture: A Multimodal Discourse Analysis of a WeChat Discussion," SAGE Open, , vol. 13(4), pages 21582440231, October.
  • Handle: RePEc:sae:sagope:v:13:y:2023:i:4:p:21582440231193346
    DOI: 10.1177/21582440231193346
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/21582440231193346
    Download Restriction: no

    File URL: https://libkey.io/10.1177/21582440231193346?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Saura, Jose Ramon & Palacios-Marqués, Daniel & Ribeiro-Soriano, Domingo, 2023. "Exploring the boundaries of open innovation: Evidence from social media mining," Technovation, Elsevier, vol. 119(C).
    2. Saura, Jose Ramon & Ribeiro-Soriano, Domingo & Palacios-Marqués, Daniel, 2021. "From user-generated data to data-driven innovation: A research agenda to understand user privacy in digital markets," International Journal of Information Management, Elsevier, vol. 60(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jose Ramon Saura & Daniel Palacios-Marqués & Domingo Ribeiro-Soriano, 2023. "Leveraging SMEs technologies adoption in the Covid-19 pandemic: a case study on Twitter-based user-generated content," The Journal of Technology Transfer, Springer, vol. 48(5), pages 1696-1722, October.
    2. Belém Barbosa & José Ramón Saura & Dag Bennett, 2024. "How do entrepreneurs perform digital marketing across the customer journey? A review and discussion of the main uses," The Journal of Technology Transfer, Springer, vol. 49(1), pages 69-103, February.
    3. María García de Blanes Sebastián & José Ramón Sarmiento Guede & Alberto Azuara Grande & David Juárez-Varón, 2024. "Analysis of factors influencing attitude and intention to use electric vehicles for a sustainable future," The Journal of Technology Transfer, Springer, vol. 49(4), pages 1347-1368, August.
    4. Lyulyov, Oleksii & Pimonenko, Tetyana & Saura, Jose Ramon & Barbosa, Belem, 2024. "How do e-governance and e-business drive sustainable development goals?," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    5. S. Lacárcel, Francisco Javier & González-Padilla, P. & Matos, Nelson & B. Correia, Marisol, 2024. "Bibliometric measurement of the resource curse and its implication for sustainable development," Resources Policy, Elsevier, vol. 89(C).
    6. Chen, Ting & Xiong, Yu, 2024. "Product positioning of low-carbon products based on blockchain-enabled product communities," Technovation, Elsevier, vol. 132(C).
    7. David B. Audretsch & Maksim Belitski & Rosa Caiazza & Farzana Chowdhury & Matthias Menter, 2023. "Entrepreneurial growth, value creation and new technologies," The Journal of Technology Transfer, Springer, vol. 48(5), pages 1535-1551, October.
    8. Ofori, Isaac K. & Quaidoo, Christopher & Ofori, Pamela E., 2021. "What Drives Financial Sector Development in Africa? Insights from Machine Learning," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, issue forthcomi.
    9. Ballerini, Jacopo & Ključnikov, Aleksandr & Juárez-Varón, David & Bresciani, Stefano, 2024. "The e-commerce platform conundrum: How manufacturers' leanings affect their internationalization," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
    10. Hui Gao & Suming Wu, 2023. "The Influence of Ambidextrous Knowledge Search on Technological Innovation: The Mediating Role of Knowledge Base," SAGE Open, , vol. 13(4), pages 21582440231, December.
    11. Linpei Song & Zhuang Ma & Junyi Sun, 2023. "The Influence of Technostress, Learning Goal Orientation, and Perceived Team Learning Climate on Intra-Team Knowledge Sharing and Innovative Practices Among ICT-Enabled Team Members," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 115-136, January.
    12. Vasi, Melissa & Sansone, Giuliano & English, Vincent, 2024. "Exogenous crises and SMEs resilience: The Dynamic Open Innovation Funnel," Technovation, Elsevier, vol. 129(C).
    13. Chen, Xin & Guo, Shuojia & Xiong, Jie & Ye, Zhuxin, 2023. "Customer engagement, dependence and loyalty: An empirical study of Chinese customers in multitouch service encounters," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    14. Kalai Hung & Naomi A. Lee & Kaiping Peng & Jie Sui, 2021. "Profile Pictures in the Digital World: Self-Photographs Predict Better Life Satisfaction," IJERPH, MDPI, vol. 18(12), pages 1-10, June.
    15. Lacárcel, Francisco Javier S. & Huete, Raquel & Zerva, Konstantina, 2024. "Decoding digital nomad destination decisions through user-generated content," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    16. Suder, Marcin & Gurgul, Henryk & Barbosa, Belem & Machno, Artur & Lach, Łukasz, 2024. "Effectiveness of ATM withdrawal forecasting methods under different market conditions," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    17. Giordano, Vito & Spada, Irene & Chiarello, Filippo & Fantoni, Gualtiero, 2024. "The impact of ChatGPT on human skills: A quantitative study on twitter data," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    18. Wang, Guoqiang & Tan, Garry Wei-Han & Yuan, Yunpeng & Ooi, Keng-Boon & Dwivedi, Yogesh K., 2022. "Revisiting TAM2 in behavioral targeting advertising: A deep learning-based dual-stage SEM-ANN analysis," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    19. Mendez-Picazo, María-Teresa & Galindo-Martin, Miguel-Angel & Perez-Pujol, Rafael-Sergio, 2024. "Direct and indirect effects of digital transformation on sustainable development in pre- and post-pandemic periods," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    20. Chen, Pengyu & Chu, Zhongzhu & Zhao, Miao, 2024. "The Road to corporate sustainability: The importance of artificial intelligence," Technology in Society, Elsevier, vol. 76(C).

    More about this item

    Keywords

    positioning theory; WeChat; graphicons; multimodal discourse analysis; face (mianzi); L2 literacy practices;
    All these keywords.

    JEL classification:

    • L2 - Industrial Organization - - Firm Objectives, Organization, and Behavior

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:sagope:v:13:y:2023:i:4:p:21582440231193346. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.