A Cross-Cultural Genre Analysis of Firm-Generated Advertisements on Twitter and Sina Weibo

Xingsong Shi University of International Business and Economics ; Wenjing Wan Beijing Jiaotong University

Abstract

To investigate the generic features of firm-generated advertisements (FGAs) in cross-cultural contexts, this study analyzed 327 FGAs by Dell Technologies and the Lenovo Group on Twitter and Sina Weibo. Integrating affordances and multimodality into genre analysis, the study showed that the FGAs were characterized by (a) flexible move structure, (b) persuasive language, (c) visual illustration, and (d) hyperlinks, hashtagging (#), and mentioning (@) functions. The FGAs on Sina Weibo, compared with those on Twitter, tended to use more language play, emojis, and contextual product pictures and show more emphasis on the niche of products, incentives, and celebrity endorsement.

Journal
Journal of Business and Technical Communication
Published
2022-01-01
DOI
10.1177/10506519211044186
Open Access
Closed
Topics

Citation Context

Cited by in this index (2)

  1. Journal of Business and Technical Communication
  2. Journal of Business and Technical Communication

Cites in this index (7)

  1. Journal of Business and Technical Communication
  2. Rhetoric Society Quarterly
  3. Journal of Business and Technical Communication
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  1. Journal of Business and Technical Communication
  2. Journal of Business and Technical Communication
Also cites 45 works outside this index ↓
  1. 10.1108/09593840510601504
  2. 10.1093/applin/22.2.195
  3. 10.1016/j.esp.2007.07.005
  4. 10.1075/scl.28
  5. 10.1177/1461445607087007
  6. 10.1016/j.pragma.2009.06.012
  7. 10.1080/00913367.2005.10639190
  8. 10.1177/001316446002000104
  9. 10.1016/j.esp.2017.01.001
  10. 10.1016/j.jbusres.2018.11.007
  11. 10.1362/146934715X14441363377999
  12. 10.1111/jcc4.12180
  13. 10.1016/j.pragma.2019.02.007
  14. 10.4018/IJOM.2016100104
  15. 10.1080/0267257X.2018.1483960
  16. 10.1007/978-3-319-40295-6_2
  17. 10.2307/3587930
  18. 10.4324/9780203164754
  19. 10.1509/jm.14.0249
  20. 10.1016/j.esp.2013.10.002
  21. 10.1016/j.pragma.2013.02.006
  22. 10.2307/2529310
  23. 10.1016/j.dcm.2018.03.006
  24. 10.1108/JCOM-07-2013-0055
  25. 10.1016/j.bushor.2017.05.006
  26. 10.1016/j.chb.2016.04.032
  27. 10.1162/COLI_a_00249
  28. 10.1177/1461444809352203
  29. 10.1016/j.jbusres.2016.10.025
  30. 10.1080/10864415.2018.1512281
  31. 10.1016/j.jretconser.2017.09.003
  32. 10.1177/0018726702551004
  33. 10.1016/j.pubrev.2011.10.006
  34. 10.1075/pbns.188.11mil
  35. 10.2501/JAR-52-2-262-269
  36. 10.1108/02651331311298573
  37. 10.1002/cb.379
  38. 10.1016/j.esp.2013.06.004
  39. 10.37514/PER-B.2009.2324.2.02
  40. 10.1016/S0889-4906(03)00003-6
  41. 10.1108/CCIJ-10-2014-0065
  42. 10.1016/j.jbusres.2014.03.006
  43. Discourse of Twitter and social media
  44. 10.1177/1750481312446265
  45. 10.1177/1461445600002004004
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