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Living with television: the violence profile.
George Gerbner,Larry Gross +1 more
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This article is published in Journal of Communication.The article was published on 1976-06-01. It has received 1999 citations till now. The article focuses on the topics: Poison control & Cultivation theory.read more
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Mediating the Message: Theories of Influences on Mass Media Content
TL;DR: In this paper, the influence of media content beyond processes and effects analyzing media content patterns of media contents influences on content from individual media workers influence on media routines influence on content influences on contents from outside of media organizations, influence of ideology linking influences on media content to the effects of content building a theory of news content.
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Fear of crime: A review of the literature.
TL;DR: The literature on fear of crime has grown rapidly in the last three decades as discussed by the authors, and the reasons for this growth and attempts to put some structure on the work to date are discussed and alternative approaches suggested.
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The “Mainstreaming” of America: Violence Profile No. 11
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Social Identity, Self-Categorization, and the Communication of Group Norms
Michael A. Hogg,Scott A. Reid +1 more
TL;DR: The role of norms within the social identity perspective as a basis for theorizing a number of manifestly communicative phenomena has been discussed in this paper, where group norms are cognitively represented as context-dependent prototypes that capture the distinctive properties of groups.
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Social Learning Theory of Aggression.
TL;DR: This paper argued that the massive threats to human welfare are generally brought about by deliberate acts and that it is the principled resort to aggression that is of greatest social concern but most ignored in psychological theorizing and research.
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Bivariate Agreement Coefficients for Reliability of Data
Abstract: The quality of data in content analysis, in surveys with openended questions, in the observation of unstructured social events, and so on, critically depends on the reliability with which primary observations are assigned to categories, scaled, or measured. To help assure valid interpretations, agreement between two independent observers is measured. When agreement is due merely to chance, data may have little to do with the phenomena studied. In order for such data to be empirically meaningful, a high degree of inter-observer agreement must be demonstrated. This paper suggests that several heretofore unrelated bivariate agreement coefficients may in fact be regarded as belonging to one family. It presents a paradigm through which their formal resemblances become transparent and it proposes efficient formulas for their computation.
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