This paper describes our experiments of using Amazon’s Mechanical Turk to generate (counter-)facts from texts for certain namedentities. We give the human annotators a paragraph of text and a highlighted named-entity. They will write down several (counter-)facts about this named-entity in that context. The analysis of the results is performed by comparing the acquired data with the recognizing ...

later consideration of social cultural realities, Stereotypes and Myths, would have fallen into an easy sequence. The author's present arrangement may lead the student into some confusion of thought and the begging of many questions. For in the very nature of the subject it is still a matter for speculation and careful discussion of facts as to whether social or psychological criteria have prio...

This paper reviews the literature on small-world networks in social science and management. This relatively new area of research represents an unusual level of crossdisciplinary research within social science and between social science and the physical sciences. We review the findings of this emerging area with an eye to describing the underlying theory of small worlds, the technical apparatus,...

This paper sets out an organizing framework for the field of social ontology, the study of the nature of the social world. The subject matter of social ontology is clarified, in particular the difference between it and the study of causal relations and the explanation of social phenomena. Two different inquiries are defined and explained: the study of the grounding of social facts, and the stud...