“I am sorry for judging you”: conceptualizing sentiment reversal among followers in case of falsely alleged social media influencer transgression

IF 5.9 3区 管理学 Q1 BUSINESS Internet Research Pub Date : 2024-11-19 DOI:10.1108/intr-08-2023-0649
Ishaan Sengupta, Kokil Jain, Arpan Kumar Kar, Isha Sharma
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Abstract

Purpose

Influencer transgressions can disappoint their followers. However, there is a lack of clarity about the effects of a false allegation on an influencer–follower relationship. Drawing from cognitive dissonance and moral reasoning theory, the current study aims to examine how this relationship is shaped across three time periods (before the allegation is leveled, after the allegation is leveled, and when the allegation is found to be baseless).

Design/methodology/approach

We study comments posted by followers of two falsely alleged social media influencers (SMI) on their YouTube and Instagram channels. Latent Dirichlet allocation (LDA) followed by netnography is used for thematic analysis. LDA is a social media topic modeling method that processes a statistically representative set of words to explain the tone and tenor of qualitative conversations. A sentiment analysis of the comments is done using SentiStrength.

Findings

When an allegation is leveled initially, the response from followers is overwhelmingly negative toward the influencer owing to moral coupling. However, when the allegations are proven to be false, the followers return to a positive opinion of the influencer, owing to feelings of dissonance and guilt.

Practical implications

The study contributes to the fields of influencer marketing, cognitive dissonance and moral reasoning. It highlights how endorsers can take advantage of the positive sentiment that arises once an accused SMI’s transgression is proven false.

Originality/value

This study introduces the concept of “Sentiment Reversal,” which is exhibited in the social media space. In this phenomenon, sentiments move from negative to positive toward the falsely accused SMI as they are vindicated of the previous charge.

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"我很抱歉对你的评价":在社交媒体影响者被诬陷违规的情况下,对追随者情绪逆转的概念化研究
目的影响者的过失会让追随者失望。然而,虚假指控对影响者与追随者关系的影响尚不明确。本研究从认知失调和道德推理理论出发,旨在研究这种关系在三个时间段(指控之前、指控之后以及指控被认定为毫无根据时)是如何形成的。在进行主题分析时,我们使用了潜在德里希勒分配(LDA)和网络分析法。LDA 是一种社交媒体主题建模方法,用于处理一组具有统计代表性的词语,以解释定性对话的语气和基调。研究结果当指控最初被提出时,由于道德耦合的原因,追随者对有影响力者的反应绝大多数是负面的。然而,当指控被证实为虚假时,由于失调和内疚感,追随者对影响者又恢复了积极的看法。本研究引入了 "情绪反转 "的概念,这一概念在社交媒体领域有所表现。在这种现象中,被诬陷的中小型企业在平反之前的指控后,其情绪会从负面转向正面。
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来源期刊
Internet Research
Internet Research 工程技术-电信学
CiteScore
11.20
自引率
10.20%
发文量
85
审稿时长
>12 weeks
期刊介绍: This wide-ranging interdisciplinary journal looks at the social, ethical, economic and political implications of the internet. Recent issues have focused on online and mobile gaming, the sharing economy, and the dark side of social media.
期刊最新文献
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