recentpopularlog in

tsuomela : mechanical-turk   13
"The 2016 U.S. presidential election coincided with the rise the “alternative right” or “alt-right”. Although alt-right associates wield considerable influence on the current administration, the movement’s loose organizational structure has led to disparate portrayals of its members’ psychology. We surveyed 447 alt-right adherents on a battery of psychological measures, comparing their responses to those of 382 non-adherents. Alt-right adherents were much more distrustful of the mainstream media and government; expressed higher Dark Triad traits, social dominance orientation, and authoritarianism; reported high levels of aggression; and exhibited extreme levels of overt intergroup bias, including blatant dehumanization of racial minorities. Cluster analyses suggest that alt-right supporters may separate into two subgroups: one more populist and anti-establishment and the other more supremacist and motivated by maintaining social hierarchy. We argue for the need to give overt bias greater empirical and theoretical consideration in contemporary intergroup research."
preprint  psychology  personality  alt-right  social-psychology  mechanical-turk 
august 2018 by tsuomela
[1402.5034] Using the Crowd to Generate Content for Scenario-Based Serious-Games
"In the last decade, scenario-based serious-games have become a main tool for learning new skills and capabilities. An important factor in the development of such systems is the overhead in time, cost and human resources to manually create the content for these scenarios. We focus on how to create content for scenarios in medical, military, commerce and gaming applications where maintaining the integrity and coherence of the content is integral for the system's success. To do so, we present an automatic method for generating content about everyday activities through combining computer science techniques with the crowd. We use the crowd in three basic ways: to capture a database of scenarios of everyday activities, to generate a database of likely replacements for specific events within that scenario, and to evaluate the resulting scenarios. We found that the generated scenarios were rated as reliable and consistent by the crowd when compared to the scenarios that were originally captured. We also compared the generated scenarios to those created by traditional planning techniques. We found that both methods were equally effective in generated reliable and consistent scenarios, yet the main advantages of our approach is that the content we generate is more varied and much easier to create. We have begun integrating this approach within a scenario-based training application for novice investigators within the law enforcement departments to improve their questioning skills."
games  serious-games  crowdsourcing  mechanical-turk  scenario  training  learning 
february 2014 by tsuomela

Copy this bookmark:

to read