Analyzing Effectiveness of Influencer Marketing in E-Commerce and the Spread of Misinformation through Social Media

This research project explores the intersection of social media analytics, influencer marketing, and the dissemination of misinformation in the e-commerce sector. As social platforms become increasingly central to product promotion and consumer engagement, understanding both the potential and pitfalls of this digital landscape is critical. This study aims to address two primary concerns: evaluating the effectiveness of influencer marketing strategies and examining how misinformation about e-commerce products spreads across social media. This research will employ a mixed-methods approach, primarily focusing on the analysis of existing social media datasets related to e-commerce brands and influencer marketing campaigns. The research utilizes social media datasets to analyze engagement metrics (likes, shares, comments), user network structures, and textual content. Network analysis will be employed to understand the diffusion pathways of fake news. Statistical modeling will be used to determine the correlation between engagement metrics and the virality of misinformation Simultaneously, influencer content formats—such as reviews, unboxings, and testimonials—are assessed in terms of their impact on audience engagement and consumer conversion behavior. Key findings are anticipated to reveal strong correlations between specific engagement metrics and both influencer marketing success and misinformation propagation. The research is expected to identify which types of content and influencer strategies drive higher return on investment (ROI) for e-commerce brands. It also seeks to establish frameworks for the early detection and mitigation of fake news through predictive modeling. This study contributes actionable insights for multiple stakeholders. E-commerce brands will benefit from recommendations to enhance influencer collaborations and protect brand integrity. Social media platforms will gain guidance on refining content moderation systems. Consumers will be empowered to make more informed decisions, while influencers and marketers will receive best practices for building trust and maximizing campaign impact. Overall, this project aims to strengthen the digital marketing ecosystem through evidence-based analysis and strategic recommendations.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-05-30
DOI
https://doi.org/10.22214/ijraset.2025.71530
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
0.00
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article

Analyzing Effectiveness of Influencer Marketing in E-Commerce and the Spread of Misinformation through Social Media

J. D. Gupta
International Journal for Research in Applied Science and Engineering Technology
Digital Marketing and Social Media
article

Analyzing Effectiveness of Influencer Marketing in E-Commerce and the Spread of Misinformation through Social Media

J. D. Gupta
article en

Abstract

This research project explores the intersection of social media analytics, influencer marketing, and the dissemination of misinformation in the e-commerce sector. As social platforms become increasingly central to product promotion and consumer engagement, understanding both the potential and pitfalls of this digital landscape is critical. This study aims to address two primary concerns: evaluating the effectiveness of influencer marketing strategies and examining how misinformation about e-commerce products spreads across social media. This research will employ a mixed-methods approach, primarily focusing on the analysis of existing social media datasets related to e-commerce brands and influencer marketing campaigns. The research utilizes social media datasets to analyze engagement metrics (likes, shares, comments), user network structures, and textual content. Network analysis will be employed to understand the diffusion pathways of fake news. Statistical modeling will be used to determine the correlation between engagement metrics and the virality of misinformation Simultaneously, influencer content formats—such as reviews, unboxings, and testimonials—are assessed in terms of their impact on audience engagement and consumer conversion behavior. Key findings are anticipated to reveal strong correlations between specific engagement metrics and both influencer marketing success and misinformation propagation. The research is expected to identify which types of content and influencer strategies drive higher return on investment (ROI) for e-commerce brands. It also seeks to establish frameworks for the early detection and mitigation of fake news through predictive modeling. This study contributes actionable insights for multiple stakeholders. E-commerce brands will benefit from recommendations to enhance influencer collaborations and protect brand integrity. Social media platforms will gain guidance on refining content moderation systems. Consumers will be empowered to make more informed decisions, while influencers and marketers will receive best practices for building trust and maximizing campaign impact. Overall, this project aims to strengthen the digital marketing ecosystem through evidence-based analysis and strategic recommendations.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(5)
Openalex Percentile: Top 84%
Digital Marketing and Social Media
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Analyzing Effectiveness of Influencer Marketing in E-Commerce and the Spread of Misinformation through Social Media — J. D. Gupta · International Journal for Research in Applied Science and Engineering Technology (2025) | TGRS Research Map | TGRS