Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37160, first published .
Discussions of Antibiotic Resistance on Social Media Platforms: Text Mining and Mixed Methods Content Analysis Study

Discussions of Antibiotic Resistance on Social Media Platforms: Text Mining and Mixed Methods Content Analysis Study

Discussions of Antibiotic Resistance on Social Media Platforms: Text Mining and Mixed Methods Content Analysis Study

Jocelyne Arquembourg   1 * , PhD ;   Philippe Glaser   2 * , PhD ;   France Roblot   3 * , PhD, MD ;   Isabelle Metzler   4 , MSc ;   Mélanie Gallant-Dewavrin   5 , MSc ;   Hugues Feutze Nanguem   6, 7 , MPA ;   Adel Mebarki   8 , MBA ;   Paméla Voillot   8 * , MSc ;   Stéphane Schück   8 , MD

1 Laboratoire l3, Telecom Paris, Telecom Paris, Palaiseau, France

2 Unité EERA Institut Pasteur, CNRS UMR3525, Université de Paris, Paris, France

3 CHRU Poitiers, INSERM U1070, CHRU Poitiers, Poitiers, France

4 Association France Spondyloarthrites, Association France Spondyloarthrites, Tulle, France

5 Association HTaPFrance, Association HTaPFrance, Meursault, France

6 CREDIMI: Center for Research on International Market and Investment Law, University of Burgundy, Dijon, France

7 Pfizer, Paris, France

8 Kap Code, Paris, France

*these authors contributed equally

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