Across Platforms and Languages: Dutch Influencers and Legal Disclosures on Instagram, YouTube and TikTok

Publication date

2025-01-24

Authors

Gui, HaoyangISNI 0000000512533792
Bertaglia, Thales
Goanta, CatalinaORCID 0000-0002-1044-9800ISNI 0000000419525608
de Vries, S.A.ORCID 0000-0002-7939-3585ISNI 000000008002466X
Spanakis, Gerasimos

Editors

Aiello, Luca Maria
Chakraborty, Tanmoy
Gaito, Sabrina

Advisors

Supervisors

Document Type

Part of book
Open Access logo

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