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Social Media Influence

  •  A large-scale study of social media as infrastructures of influence in national populations with a focus on false information

Social Media Influence Project (1/09/2023 - 29/02/2028)
Funding: DKK 6.2 million by Independent Research Fund Denmark


Participants: Bechmann, Anja (PI), Holt, Anton Elias, Wegmann, David Josias, Walter, Jessica Gabriele, Brems, Miriam, Nielbo, Kristoffer Laigaard (CoPI), Baglini, Rebekah Brita (CoPI)


Increased use of social media comes at a societal price when influential actors, and the patterns of how and who they influence are hidden. When such patterns and structures are hidden, it prevents effective mitigation against their potentially harmful impact on trust and well-being in democratic societies. The project creates novel knowledge on this topic by studying social media as infrastructures for influence in national populations. The focus of the project on false information serves as a critical case for understanding influence, which becomes especially relevant in times of crisis and with social media's increasing role as an information source. The major contributions of the project are reconfiguring theoretical concepts for the analysis of social media influence, along with novel and innovative scalable methods and code to analyze influence and influential actors. In addition, the project contributes with empirical findings for a better understanding of information disorders by analyzing two main sources: 1) Facebook trace data from 28 European countries at a national scale, and 2) the YouTube watch-histories of 1,000 Danish citizens over 4.5 years. By analyzing the data in relation to citizens’ socio-demographic backgrounds, psychological profiles, measured and perceived influence, the project advances our understanding of social media influence.

Subprojects:



Associated publications

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Feldkamp, P., Bizzoni, Y., Jacobsen, M., Thomsen, M. R. & Nielbo, K. L. (2025). The Goodreads’ ›Mediocre‹: Assessing a Grey Area of Literary Judgements. In Weder Fail noch Lobgesang. Nichteindeutige Wertung von Literatur im digitalen Raum Forschungsverbund Marbach Weimar Wolfenbüttel. https://doi.org/10.17175/SB006_002
Lassche, A., Feldkamp, P., Bizzoni, Y., Baunvig, K. F. & Nielbo, K. L. (2025). Why Novels (Don't) Break Through: Dynamics of Canonicity in the Danish Modern Breakthrough (1870-1900). In Proceedings of the 9th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL 2025) (pp. 278-290) https://aclanthology.org/2025.latechclfl-1.25/
Bizzoni, Y., Feldkamp, P., Lassen, I. M. S., Thomsen, M. R. & Nielbo, K. L. (2024). A Matter of Perspective: Building a Multi-Perspective Annotated Dataset for the Study of Literary Quality. In N. Calzolari, M.-Y. Kan, V. Hoste, A. Lenci, S. Sakti & N. Xue (Eds.), Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) (pp. 789-800). European Language Resources Association (ELRA). https://aclanthology.org/2024.lrec-main.71
Feldkamp, P., Lassche, A., Kostkan, J., Kardos, M., Enevoldsen, K., Baunvig, K. F. & Nielbo, K. L. (2024). Canonical Status and Literary Influence: A Comparative Study of Danish Novels from the Modern Breakthrough (1870–1900). In M. Hämäläinen, E. Öhman, S. Miyagawa, K. Alnajjar & Y. Bizzoni (Eds.), NLP4DH 2024 - 4th International Conference on Natural Language Processing for Digital Humanities, Proceedings of the Conference (pp. 140-155). Association for Computational Linguistics. https://aclanthology.org/2024.nlp4dh-1.14

Associated activities


Associated media apperances