| Srl | Item |
| 1 |
ID:
110628
|
|
|
|
|
| Publication |
2011.
|
| Summary/Abstract |
We propose an experimental design particularly adapted to the study of individual behavior in collective action situations. The experimental protocol improves on the artificiality that is commonly present in lab and survey experiments to achieve a closer replication of the real-life conditions of such decisions while avoiding the high costs associated with field experiments. We exemplify this design by means of a study on strategic voting in elections.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2 |
ID:
158223
|
|
|
|
|
| Summary/Abstract |
The problem of cyberterrorism, despite its contested nature, is an important area of research. Scholars agree that the most dangerous targets for such attacks are critical infrastructure and organizations that are vital to society due to their interconnectedness to the modern world and their increasing reliance on the cyber domain for their operations. Thus, their security and protection against cyberterrorism is of elevated importance. Given the lack of documented cases of cyberterrorism, the purpose of this article is to simulate the threat of a terrorist act on a critical infrastructure, using a computer virus and to investigate how the individual behavior of employees affects security.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 3 |
ID:
127834
|
|
|
|
|
| Publication |
2013.
|
| Summary/Abstract |
How do global sources of information such as mass media outlets, state propaganda, NGOs, and national party leadership affect aggregate behavior? Prior work on this question has insufficiently considered the complex interaction between social network and mass media influences on individual behavior. By explicitly modeling this interaction, I show that social network structure conditions media's impact. Empirical studies of media effects that fail to consider this risk bias. Further, social network interactions can amplify media bias, leading to large swings in aggregate behavior made more severe when individuals can select into media matching their preferences. Countervailing media outlets and social elites with unified preferences can mitigate the effect of bias; however, media outlets promulgating antistatus quo bias have an advantage. Theoretical results such as these generate numerous testable hypotheses; I provide guidelines for deriving and testing hypotheses from the model and discuss several such hypotheses.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|