Projects per year
Abstract
In this paper, we use social Twitter data to track evolving narratives empirically, gaining insight into how seemingly innocuous scientific concepts acquire sinister connotations through association. Understanding how this process occurs can be helpful in determining which countermeasures might be effective.
Original language | English |
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Pages (from-to) | 32-36 |
Number of pages | 5 |
Journal | Issues in Science and Technology |
Volume | 39 |
Issue number | 3 |
DOIs | |
Publication status | Published - 15 May 2023 |
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EUAR117: SoMe4Dem : Social media for democracy – understanding the causal mechanisms of digital citizenship
Meyer, T., Willaert, T., Picone, I. & Karlsen, C.
1/03/23 → 28/02/26
Project: Applied
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EUAR70: EDMO Belux : Belgium-Luxembourg Research Hub on digital Media and Disinformation
Meyer, T., Picone, I., Willaert, T., Lefevere, J., Terzis, G., Antoine, A. & Karlsen, C.
1/10/21 → 31/03/24
Project: Applied