Big Data and Television Broadcasting. A Critical Reflection on Big Data’s Surge to Be-come a New Techno-Economic Paradigm and its Impacts on the Concept of the «Ad-dressable Audience»

The paper explores how big data creates challenges and opportunities to enhance value relationships be-tween TV broadcasters, audiences and advertisers in digital television broadcasting. It finds that research into big data requires much closer attention to critical issues in the social and cultural sciences – with a fo-cus on media and communication studies and its subfield media management – to inspire our understand-ing that big data would perfectly fit the dominant «techno-economic paradigm», a meta-narrative for a substantial technological revolution that has the power to bring about a transformation across the board in ways that when new technologies diffuse, they multiply their impact across the economy and eventually modifies the socio-institutional structures. While asking how big data adds value to a broadcaster’s decision on corporate strategies in Big-Data driven TV is legitimate and important, we remain skeptical as to what effectively is to be gleaned from big data in broadcast TV This is because the socio-cultural dimensions are greatly unresolved. Notably, the corporate strategies of the «addressable audience» or audience com-modification, whereby audiences are effectively sold as mere datacommodities to broadcasters and adver-tisers, must be observed critically.Este artículo explora el estado de la cuestión sobre los desafíos y oportunidades del Big Data para incre-mentar el valor de las relaciones entre los operadores de televisión, las audiencias y los anunciantes que permiten los servicios digitalizados de televisión. Se plantea que la investigación sobre Big Data requiere prestar mayor atención a cuestiones críticas en las ciencias sociales y en la cultura –relacionadas con la comunicación y la gestión de medios– para ayudarnos a comprender que el Big Data puede, perfectamen-te, encajar en el paradigma tecno-económico dominante; una meta-narrativa sobre una revolución tecno-lógica sustancial que tiene el poder de transformar todos los ámbitos: cuando se difunde, multiplica su im-pacto en la economía y, finalmente, modifica las estructuras sociales e institucionales. Aunque es legítimo e importante preguntarse cómo el Big Data proporciona valor a las decisiones estratégicas de los operado-res de televisión, conviene mantener el escepticismo sobre lo que se puede obtener del Big Data para los servicios de televisión mientras las cuestiones socio-culturales no se resuelvan. Hay que analizar con senti-do crítico las estrategias de mercantilización de la audiencia o de target de audiencia, mediante las que sus datos se venden como una simple mercancía a los operadores y anunciantes

Big Data and Television Broadcasting. A Critical Reflection on Big Data’s Surge to Be-come a New Techno-Economic Paradigm and its Impacts on the Concept of the «Ad-dressable Audience»

The paper explores how big data creates challenges and opportunities to enhance value relationships be-tween TV broadcasters, audiences and advertisers in digital television broadcasting. It finds that research into big data requires much closer attention to critical issues in the social and cultural sciences – with a fo-cus on media and communication studies and its subfield media management – to inspire our understand-ing that big data would perfectly fit the dominant «techno-economic paradigm», a meta-narrative for a substantial technological revolution that has the power to bring about a transformation across the board in ways that when new technologies diffuse, they multiply their impact across the economy and eventually modifies the socio-institutional structures. While asking how big data adds value to a broadcaster’s decision on corporate strategies in Big-Data driven TV is legitimate and important, we remain skeptical as to what effectively is to be gleaned from big data in broadcast TV This is because the socio-cultural dimensions are greatly unresolved. Notably, the corporate strategies of the «addressable audience» or audience com-modification, whereby audiences are effectively sold as mere datacommodities to broadcasters and adver-tisers, must be observed critically

Movie Industry Economics: How Data Analytics Can Help Predict Movies’ Financial Success

Purpose: Data analytics techniques can help to predict movie success, as measured by box office sales or Oscar awards. Revenue prediction of a movie before its theatrical release is also an important indicator for attracting investors. While measures for predicting the success of a movie in box office sales and awards are widely missing, this study uses data analytics techniques to present a new measure for prediction of movies’ financial success.Methodology: Data were collected by web-scraping and text mining. Classification and Regression Tree (CART), Random Forests, Conditional Forests, and Gradient Boosting were used and a model for prediction of movies' financial success proposed. Content strategy and generating high profile reviews with complex themes can add to controversy and increase the chance of nomination for major movie awards, including Oscars.Findings/Contribution: Findings show that data analytics is key to predicting the success of movies. Although predicting sales based on data available before the release remains a difficult endeavor, even with state-of-the-art analytics technologies, it potentially reduces the risk of investors, studios and other stakeholders to select successful film candidates and have them chosen before the production process starts. The contribution of this study is to develop a model for predicting box office sales and the chance of nomination for winning Oscars. Practical Implications: Cinema managers and investors can use the proposed model as a guide for predicting movies’ financial success

Reviewing the Nexus of Participatory Journalism and Mediatized Engagement

This study reviews the scholarly literature on participatory journalism and mediatized audience engagement as two emergent perspectives of digital journalism studies. We discuss four propositions drawn from an interdisciplinary literature. We find that a review and critical discussion of the nexus of relations and impacts of these perspectives provides valuable insights to the transformation of journalism and the news media industry. Furthermore, we believe that thinking about participatory journalism and mediatized audience engagement can be fruitfully applied to various novel approaches regarding research on the fundamental transformation of journalism in the digital age