The concept of information competition is relevant for understanding communications on social media, misinformation events, system design and infrastructure, as well as technology transparency and governance. Our methods range from qualitative analysis to statistical approaches and machine learning. Below is a select list of representative publications, both popular and academic.
- The limitations of COVID-19 data dashboards (slate.com)
- Insurrection, Inc: What Telegram Tells Us About the Business of Populist Revolt (newamerica.org)
- Sowing Doubt: Anti-“Big Tech” Narratives, Parler, and the Alt-Tech Attention Economy (newamerica.org)
- Parler and the Road to the Capitol Attack (newamerica.org)
- Telegram has become a refuge for the insurrectionist right (slate.com)
- Visualizing a Pandemic (pubpub.org)
Ogden, J., Summers, E., & Walker, S. (2023). Know(ing) Infrastructure: The Wayback Machine as object and instrument of digital research. Convergence, 0(0).https://doi.org/10.1177/13548565231164759.
Bastos, M., Walker, S., & Simeone, M. (2021). The IMPED Model: Detecting Low-Quality Information in Social Media. American Behavioral Scientist, 65(6), 863–883.https://doi.org/10.1177/0002764221989776.
M. A. Hannah and M. Simeone, “Exploring an Ethnography-Based Knowledge Network Model for Professional Communication Analysis of Knowledge Integration,” in IEEE Transactions on Professional Communication, vol. 61, no. 4, pp. 372-388, Dec. 2018.https://doi.org/10.1109/TPC.2018.2870682.
Simeone, Michael. “Why We Will Not Be Posthuman: Gadgets as a Technocultural Form.” Configurations 19, no. 3 (2011): 333-356.https://doi.org/10.1353/con.2011.0020.