The Impact of Review Environment on Review Credibility

Jo Mackiewicz Iowa State University ; Dave Yeats PayPal (United States) ; Thomas Thornton

Abstract

Research problem: Increasingly, professional and technical communicators analyze, synthesize, and respond to user-generated content, including online consumer reviews of products, as the influence of user-generated content on consumers' purchasing decisions grows. But product reviews vary in the degree to which people perceive them to be credible. Research questions: (1) To what extent does a product review's environment-a retailer or brand site-affect review users' ratings of that review's credibility? (2) To what extent does review valence (positive versus negative) affect review users' ratings of review credibility? (3) What is the strength of the relationship among credibility and its two main components, trustworthiness and expertise? Literature review: Recent research has made clear the spread and the influence of user-generated comments and, thus, the need for sophistication in handling it. Review credibility has two main components: trustworthiness (which equates to honesty or sincerity) and expertise (which equates to accuracy). Prior research also shows the effects of valence (positivity or negativity) in reviews, noting that negative reviews have more influence than positive reviews on readers' perceptions of review credibility and purchasing decisions. Methodology: We tested the effect of a consumer review's environment (brand or retailer site) and the effect of review valence (positive or negative) on the perceived credibility of that review, as well the degree of correlation among credibility, trustworthiness, and expertise. Through an online survey, we exposed respondents to the same review text with different star ratings (4-star and 2-star) in two types of sites: brand and retailer. We asked participants to evaluate the review's credibility, trustworthiness, and expertise. In half of the exposures, participants evaluated a review in the site of a high-credibility company (Apple or Amazon), and in the other half of exposures, participants evaluated a review in the site of a midlevel-credibility company (Dell or Walmart). Results and conclusions: Credibility strongly correlated with both trustworthiness and expertise. Participants rated 4-star reviews as more credible than 2-star reviews on high-credibility sites, but star ratings had no impact on midlevel credibility sites. We found no difference between ratings of reviews displayed on brand and retailer sites for midlevel-credibility companies but a small difference between reviews displayed on brand and retailer sites for high-credibility companies. Professional communicators should attend to reviews posted both to retailer and brand sites. Conclusions: Professional communicators charged with managing user-generated content need not spend resources on channeling it into retailer and other independent review site environments as opposed to brand site environments. Our findings indicate that professional communicators looking to identify credible reviews should attend to review valence, or the positivity or negativity of a review. When managing user-generated product reviews, they should try to make credible content more noticeable to review users.

Journal
IEEE Transactions on Professional Communication
Published
2016-06-01
DOI
10.1109/tpc.2016.2527249
CompPile
Open Access
Closed
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Citation Context

Cited by in this index (2)

  1. IEEE Transactions on Professional Communication
  2. IEEE Transactions on Professional Communication

References (56) · 5 in this index

  1. 10.1146/annurev.ps.44.020193.001103
  2. Attribution Perceiving the Causes of Behavior
  3. 10.1509/jmkr.43.3.345
  4. 10.1145/1562764.1562800
  5. 10.2501/S0265048709200709
Show all 56 →
  1. 10.1504/IJIMA.2004.004016
  2. 10.1037/h0025848
  3. 10.1016/B978-1-4832-2828-0.50008-8
    Cognitive Consistency Motivational Antecedents and Behavioral Consequents  
  4. 10.1207/S15327957PSPR0504_2
  5. 10.1037/1089-2680.5.4.323
  6. 10.1016/j.chb.2003.11.008
  7. Determinants of consumer trust of virtual word-of-mouth: An observation study from a reta…
    J Amer Acad Bus
  8. Online Consumer Psychology Understanding and Influencing Consumer Behavior in the Virtual World
  9. 10.1016/j.indmarman.2010.02.021
  10. 10.1080/1369857031000123948
  11. 10.1111/j.1083-6101.2011.01549.x
  12. Commun Persuasion
  13. 10.1086/267745
  14. 10.1080/00913367.1990.10673191
  15. 10.1007/s10799-008-0041-2
  16. 10.2753/MIS0742-1222240404
  17. 10.1287/isre.14.1.47.14767
  18. 10.1016/j.ijresmar.2005.11.001
  19. 10.1086/432235
  20. 10.2753/JEC1086-4415130402
  21. IEEE Transactions on Professional Communication
  22. 10.1007/s12525-010-0041-z
  23. 10.1007/s12525-011-0072-0
  24. 10.1016/j.jcps.2011.04.002
  25. 10.1207/S15327663JCP1202_02
  26. Brands that dominate with user-generated content
  27. 10.1111/j.1460-2466.2010.01488.x
  28. Social influence Marketing's new frontier
  29. Welcome to the millennial village Population 1 688 526 106
  30. Forum moderation as technical communication: The social web employment opportunities for …
    Tech Commun
  31. Technical Communication Quarterly
  32. Journal of Business and Technical Communication
  33. The Levels of Edit
  34. Journal of Business and Technical Communication
  35. Journal of Business and Technical Communication
  36. 10.1108/03090561111119958
  37. Brand alliances as signals of product quality
    MIT Sloan Manage Rev
  38. Quality in product reviews: What technical communicators should know
    Tech Commun
  39. Listening to social media to improve technical content
  40. 10.1016/j.jretai.2004.04.001
  41. 10.1016/j.jbusres.2009.01.015
  42. How to use post-transactional ecommerce NPS emails to grow sales
  43. 10.1002/dir.20090
  44. 10.1108/10610420510583707
  45. 10.2753/JOA0091-3367370208
  46. Enhancing net promoter score (NPS) with total social customer value (TSCV)
  47. 10.1109/ICQR.2011.6031719
  48. 10.1016/j.jbusres.2009.04.029
  49. 10.1016/j.tourman.2010.12.011
  50. 10.1016/j.jbusres.2009.12.011
  51. 10.1016/j.tourman.2009.12.005