Krystyna Marcinek
Biographic Data
| ID | 5659561 |
|---|---|
| NAME | Krystyna Marcinek |
| GIVEN NAMES | Krystyna |
| FAMILY NAME | Marcinek |
| SIGNATURE | MARCINEK K |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 4 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 1 |
Detecting Malign or Subversive Information Efforts over Social Media
The authors examine scalable analytics to detect malign or subversive information efforts, using the 2018 World Cup as a case study. The report has operational relevance to the U.S. government. It may benefit both researchers interested in going beyond post hoc recognition of malign or subversive information campaigns to in-time detection and social media companies interested in preventing their platforms from being co-opted by malign actors.
Will to Fight
This brief argues for the importance of improving our understanding of what influences will to fight, and it describes two models for doing so: one for analyzing a military unit's will to fight, and one for analyzing a nation's will to fight
Will to Fight
This brief argues for the importance of improving our understanding of what influences will to fight, and it describes two models for doing so: one for analyzing a military unit's will to fight, and one for analyzing a nation's will to fight
Will to Fight
This brief argues for the importance of improving our understanding of what influences will to fight, and it describes two models for doing so: one for analyzing a military unit's will to fight, and one for analyzing a nation's will to fight
Detecting Malign or Subversive Information Efforts over Social Media
The authors examine scalable analytics to detect malign or subversive information efforts, using the 2018 World Cup as a case study. The report has operational relevance to the U.S. government. It may benefit both researchers interested in going beyond post hoc recognition of malign or subversive information campaigns to in-time detection and social media companies interested in preventing their platforms from being co-opted by malign actors.
Political science (2 works) · Analytics (1 work) · Anthropology: Ethics, History, Culture (1 work) · Computer Science (1 work) · Computer security (1 work) · Data science (1 work) · Engineering (1 work) · Engineering ethics (1 work) · Government (linguistics) (1 work) · Mathematics education (1 work)