Evaluating the Credibility of Influencer Marketing Through Online Review Mining

Purpose: This study examines product trial marketing within the broader framework of influencer marketing, aiming to evaluate the quality and reliability of online reviews. Sentiment analysis, a text mining technique, is applied to both trial group and general consumer text reviews.BR/Methods: This study proposes a method for evaluating the credibility of influencer marketing by identifying satisfaction levels in both general consumer reviews and influencer marketer reviews and statistically verifying the differences. The methodology involves two stages: the first stage involves the calculation of satisfaction scores, while the second stage involves the evaluation of review credibility.BR/Results: By analyzing qualitative data from text reviews, rather than relying on less informative quantitative data, this research highlights specific differences between reviews from trial groups and general consumers. These findings are expected to provide valuable insights for both consumers and businesses, thereby contributing to better-informed purchasing decisions and marketing strategy development.BR/Conclusion: Influencer marketing has only recently gained significant attention, yet research on its impact and credibility remains limited. This study addresses this gap by evaluating the credibility of influencer marketing through an analysis of online reviews.

Authors

Publication Details

Journal
Journal of Applied Reliability
Published
2024-12-31
DOI
https://doi.org/10.33162/jar.2024.12.24.4.405
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
0.00
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article

Evaluating the Credibility of Influencer Marketing Through Online Review Mining

Jae‐Hun Park, Mingyi Ma, Hyeyeong Koo
Journal of Applied Reliability
Digital Marketing and Social Media
article

Evaluating the Credibility of Influencer Marketing Through Online Review Mining

Jae‐Hun Park, Mingyi Ma, Hyeyeong Koo
article en

Abstract

Purpose: This study examines product trial marketing within the broader framework of influencer marketing, aiming to evaluate the quality and reliability of online reviews. Sentiment analysis, a text mining technique, is applied to both trial group and general consumer text reviews.BR/Methods: This study proposes a method for evaluating the credibility of influencer marketing by identifying satisfaction levels in both general consumer reviews and influencer marketer reviews and statistically verifying the differences. The methodology involves two stages: the first stage involves the calculation of satisfaction scores, while the second stage involves the evaluation of review credibility.BR/Results: By analyzing qualitative data from text reviews, rather than relying on less informative quantitative data, this research highlights specific differences between reviews from trial groups and general consumers. These findings are expected to provide valuable insights for both consumers and businesses, thereby contributing to better-informed purchasing decisions and marketing strategy development.BR/Conclusion: Influencer marketing has only recently gained significant attention, yet research on its impact and credibility remains limited. This study addresses this gap by evaluating the credibility of influencer marketing through an analysis of online reviews.

Journal of Applied ReliabilityVol. 24(4)
Openalex Percentile: Top 59%
Digital Marketing and Social Media
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Evaluating the Credibility of Influencer Marketing Through Online Review Mining — Jae‐Hun Park, Mingyi Ma, et al. · Journal of Applied Reliability (2024) | TGRS Research Map | TGRS