Degree of realism (Fiction)
The variable tries to capture the degree of realism of the fictional entertainment format. It was used in a systematization of TV series and movies that aimed to structure the field with regard to politics in fictional entertainment (Eilders & Nitsch, 2014, 2015; Nitsch & Eilders, 2014). Field of application/theoretical foundation The perceived degree of realism is usually considered in effect studies (as a moderating variable). However, it can also be applied to the fictional content and helps differentiating the innumerable fictional productions. It might be assumed that fictional entertainment formats with many references to social reality elicit other effects than TV series and movies that do not include aspects that are familiar to the audience from real-life. References/combination with other methods of data collection --- Example study Eilders & Nitsch (2015) Information on Eilders & Nitsch, 2015 Authors: Christiane Eilders & Cordula Nitsch Research interest: empirical classification of movies and TV series regarding their political intensity and degree of realism Object of analysis: 114 movies and 98 TV series Timeframe of analysis: 1990-2013 Information about variable Variable name/definition: degree of realism Degree of realism is indicated through four variables: realism 1) in terms of events, 2) in terms of characters, 3) in terms of time, and 4) in terms of places. Every indicator was coded on a scale ranging from 0 (no realism at all) to 3 (high degree of realism). Realism in terms of events regards the degree to which the plot refers to real-life events (e.g., historical references, bank holidays). Realism of characters captures whether real actors or institutions are addressed in the plot. It was coded whether real characters played no role (0), a marginal role (1), a minor role (2), or a major role (3) in the TV series or movie. Realism in terms of time measures the time between the year of production and the year in which the fictional plot takes place. 0 was coded for plots ...