Predictions of Public Opinion from the Mass Media Computer Content Analysis and Mathematical Modeling

This incisive examination of the power of information in society uses a new mathematical model, ideodynamics, to describe social responses to information and suggests that public opinion can be swayed in a predictable fashion by messages acting on the populace. In addition to mathematical modeling, this book also introduces a new method for computer content analysis able to score text for its support of different viewpoints. The method is highly flexible and adaptable, yielding great precision for any topic in any language. Although previous work has indicated that the press is able to "set the agenda" with regard to public opinion, this book is unique in demonstating that the press also is able to mold opinion within that agenda. Fan begins with a presentation of ideodynamics followed by an examination of the ability of the mathematical model to incorporate previous theories. He then considers data applications and discusses the conclusions to be drawn from the work. The empirical testing uses the ideodynamic equations and scores from the text analysis to predict time trends of public opinion which correspond strikingly well with actual poll measurements.Fan, David P. is the author of 'Predictions of Public Opinion from the Mass Media Computer Content Analysis and Mathematical Modeling' with ISBN 9780313262968 and ISBN 0313262969.