Across Platforms and Languages: Dutch Influencers and Legal Disclosures on Instagram, YouTube and TikTok
Publication date
2025-01-24
Editors
Aiello, Luca Maria
Chakraborty, Tanmoy
Gaito, Sabrina
Advisors
Supervisors
Document Type
Part of book
Metadata
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License
taverne
Abstract
Content monetization on social media fuels a growing influencer economy. Influencer marketing remains largely undisclosed or inappropriately disclosed on social media. Non-disclosure issues have become a priority for national and supranational authorities worldwide, who are starting to impose increasingly harsher sanctions on them. This paper proposes a transparent methodology for measuring whether and how influencers comply with disclosures based on legal standards. We introduce a novel distinction between disclosures that are legally sufficient (green) and legally insufficient (yellow). We apply this methodology to an original dataset reflecting the content of 150 Dutch influencers publicly registered with the Dutch Media Authority based on recently introduced registration obligations. The dataset consists of 292,315 posts and is multi-language (English and Dutch) and cross-platform (Instagram, YouTube and TikTok). We find that influencer marketing remains generally underdisclosed on social media, and that bigger influencers are not necessarily more compliant with disclosure standards.
Keywords
influencer marketing, Instagram, legal disclosures, social media measurement, TikTok, YouTube, Taverne, Theoretical Computer Science, General Computer Science
Citation
Gui, H, Costa Bertaglia, T, Goanta, C, de Vries, S & Spanakis, G 2025, Across Platforms and Languages : Dutch Influencers and Legal Disclosures on Instagram, YouTube and TikTok. in L M Aiello, T Chakraborty & S Gaito (eds), Social Networks Analysis and Mining : 16th International Conference, ASONAM 2024, Rende, Italy, September 2–5, 2024, Proceedings, Part III. 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 15213 LNCS, Springer, Cham, pp. 3-12, 16th International Conference on Social Networks Analysis and Mining, ASONAM 2024, Rende, Italy, 2/09/24. https://doi.org/10.1007/978-3-031-78548-1_1, conference