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The influence of emoji meaning multipleness on perceived online review helpfulness: The mediating role of processing fluency

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  • Wu, Ruijuan
  • Chen, Jiuqi
  • Lu Wang, Cheng
  • Zhou, Liying

Abstract

Emoji is widely used in electronic word of mouth (eWOM) and online consumer reviews across various social media platforms and online retailers, but the boundary condition of its effect on perceived helpfulness and its underlying mechanisms have not been examined in the extant literature. This research investigates the effect of emoji meaning multipleness on review helpfulness through two experiments. The results show that multiple meaning emojis lead to less helpful perception, but user expertise with emojis moderates such an effect. Further, processing fluency plays the mediating role, explaining the relationship between emoji meaning multipleness and perceived review helpfulness. The findings of the present research offer important insights into the underlying mechanisms and boundary conditions of the effective use of emoji in eWOM or online reviews.

Suggested Citation

  • Wu, Ruijuan & Chen, Jiuqi & Lu Wang, Cheng & Zhou, Liying, 2022. "The influence of emoji meaning multipleness on perceived online review helpfulness: The mediating role of processing fluency," Journal of Business Research, Elsevier, vol. 141(C), pages 299-307.
  • Handle: RePEc:eee:jbrese:v:141:y:2022:i:c:p:299-307
    DOI: 10.1016/j.jbusres.2021.12.037
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    References listed on IDEAS

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    1. Leung, Chi Hong & Chan, Winslet Ting Yan, 2017. "Using emoji effectively in marketing: An empirical study," Journal of Digital & Social Media Marketing, Henry Stewart Publications, vol. 5(1), pages 76-95, March.
    2. Kristina Rennekamp, 2012. "Processing Fluency and Investors’ Reactions to Disclosure Readability," Journal of Accounting Research, Wiley Blackwell, vol. 50(5), pages 1319-1354, December.
    3. Alba, Joseph W & Hutchinson, J Wesley, 1987. "Dimensions of Consumer Expertise," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 13(4), pages 411-454, March.
    4. Stefano Puntoni & Bart de Langhe & Stijn M. J. van Osselaer, 2009. "Bilingualism and the Emotional Intensity of Advertising Language," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 35(6), pages 1012-1025, April.
    5. Zhenhui Jiang & Izak Benbasat, 2007. "Research Note---Investigating the Influence of the Functional Mechanisms of Online Product Presentations," Information Systems Research, INFORMS, vol. 18(4), pages 454-470, December.
    6. Lynch, John G, Jr & Srull, Thomas K, 1982. "Memory and Attentional Factors in Consumer Choice: Concepts and Research Methods," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 9(1), pages 18-37, June.
    7. Myungwoo Nam & Jing Wang & Angela Y. Lee, 2012. "The Difference between Differences: How Expertise Affects Diagnosticity of Attribute Alignability," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 39(4), pages 736-750.
    8. Filieri, Raffaele, 2015. "What makes online reviews helpful? A diagnosticity-adoption framework to explain informational and normative influences in e-WOM," Journal of Business Research, Elsevier, vol. 68(6), pages 1261-1270.
    9. Das, Gopal & Wiener, Hillary J.D. & Kareklas, Ioannis, 2019. "To emoji or not to emoji? Examining the influence of emoji on consumer reactions to advertising," Journal of Business Research, Elsevier, vol. 96(C), pages 147-156.
    10. Park, Sangwon & Nicolau, Juan L., 2015. "Asymmetric effects of online consumer reviews," Annals of Tourism Research, Elsevier, vol. 50(C), pages 67-83.
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    Cited by:

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    2. Davide Christian Orazi & Bhoomija Ranjan & Yimin Cheng, 2023. "Non-face emojis in digital marketing: Effects, contingencies, and strategic recommendations," Journal of the Academy of Marketing Science, Springer, vol. 51(3), pages 570-597, May.
    3. Zhou, Liying & Jin, Fei & Wu, Banggang & Chen, Zhi & Wang, Cheng Lu, 2023. "Do fake followers mitigate influencers’ perceived influencing power on social media platforms? The mere number effect and boundary conditions," Journal of Business Research, Elsevier, vol. 158(C).
    4. Tobias Maiberger & David Schindler & Nicole Koschate-Fischer, 2024. "Let’s face it: When and how facial emojis increase the persuasiveness of electronic word of mouth," Journal of the Academy of Marketing Science, Springer, vol. 52(1), pages 119-139, January.
    5. Shan, Minghui & Zhu, Zhenzhong & Song, Chunlei & Chen, Haipeng (Allan), 2023. "The effectiveness of advertising appeals: A culturally-derived power perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).

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