Characterizing Sponsored Content in Facebook and Instagram

Martins, E. A.; Salles, I.; Benevenuto, F.; Goussevskaia, O.

Martins, E. A.; Salles, I.; Benevenuto, F.; Goussevskaia, O..

33rd ACM Conference on Hypertext and Social Media, HT 2022 - Co-located with ACM WebSci 2022 and ACM UMAP 2022 ; : 52-63, 2022.

Article in English | Scopus | ID: covidwho-1962413

Keywords

Facebook.; influencer marketing; Instagram; Social network analysis; sponsored content; Commerce; Large dataset; Social networking (online); Comparative analyzes; Cross-platform; Facebook; Influence marketing; Large-scales; Relative growth rate; Marketing

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Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Experimental Studies / Randomized controlled trials Topics: Long Covid Language: English Journal: 33rd ACM Conference on Hypertext and Social Media, HT 2022 - Co-located with ACM WebSci 2022 and ACM UMAP 2022 Year: 2022 Document Type: Article

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