Frontiers: How Much Influencer Marketing Is Undisclosed? Evidence from Twitter

This paper uses a text-based machine learning classifier to detect hidden sponsored posts on Twitter and finds that 96% of sponsored posts lack disclosure.

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Publication Details

Journal
Marketing Science
Published
2025-03-24
DOI
https://doi.org/10.1287/mksc.2024.0838
Citations
4
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
12.60
Controls
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article

Frontiers: How Much Influencer Marketing Is Undisclosed? Evidence from Twitter

Stephan Seiler, Daniel Ershov, Yanting He
4 citations
Marketing Science
Digital Marketing and Social Media
12.60
article

Frontiers: How Much Influencer Marketing Is Undisclosed? Evidence from Twitter

Stephan Seiler, Daniel Ershov, Yanting He
article en
4 citations

Abstract

This paper uses a text-based machine learning classifier to detect hidden sponsored posts on Twitter and finds that 96% of sponsored posts lack disclosure.

Marketing ScienceVol. 44(3)
Centre for Economic Policy Research (GB), University College London (GB), Imperial College London (GB)
Quality Education
Openalex Percentile: Top 2%
Digital Marketing and Social Media
12.60
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