Data analysis is steadily becoming more central to management decision-making in media organizations across the globe. The reliance of subscription video on demand (SVoD) services, such as Netflix, on data analytics to underpin decisions about new content investment is well-established. However, what are the key opportunities and challenges facing the rest of the television industry? This article examines how data analysis is facilitating improved methods of personalization and more effective intelligence about the relative appeal of content for differing audience segments. But growing reliance on big data also raises a number of critical public interest questions. This article highlights how data is now a key source of competitive advantag...
This article discusses the emergence of a computational social science analytics fusion as a mainstr...
“Television Ratings: From Audimeter to Big Data” is a recuperative history of television ratings tha...
We are at a pivotal moment for understanding and deciding what is actually at stake with dataficatio...
Data analysis is steadily becoming more central to management decision-making in media organizations...
Data analysis is steadily becoming more central to management decision-making in media organizations...
Television was born analogue, almost 100 years ago: first broadcast across airwaves, then delivered ...
The paper explores how big data creates challenges and opportunities to enhance value relationships ...
This short piece introduces the special issue of Television & New Media (TVNM) on data power in mate...
In the American television industry, knowledge about the audience is a structuring factor that essen...
Through a focused study of Netflix original dramas, this dissertation examines how developments in i...
This article considers how established methodologies for researching television distribution can be ...
This production study argues predictive analytics (PA) and behavioral targeting (BT) will be useful ...
This article addresses implications for democracy of two interconnected developments involving big d...
Digital media provide multiple measures to quantify television audiences. Newer measures challenge N...
Big data has become an enormous asset for on-demand content distribution services, helping informati...
This article discusses the emergence of a computational social science analytics fusion as a mainstr...
“Television Ratings: From Audimeter to Big Data” is a recuperative history of television ratings tha...
We are at a pivotal moment for understanding and deciding what is actually at stake with dataficatio...
Data analysis is steadily becoming more central to management decision-making in media organizations...
Data analysis is steadily becoming more central to management decision-making in media organizations...
Television was born analogue, almost 100 years ago: first broadcast across airwaves, then delivered ...
The paper explores how big data creates challenges and opportunities to enhance value relationships ...
This short piece introduces the special issue of Television & New Media (TVNM) on data power in mate...
In the American television industry, knowledge about the audience is a structuring factor that essen...
Through a focused study of Netflix original dramas, this dissertation examines how developments in i...
This article considers how established methodologies for researching television distribution can be ...
This production study argues predictive analytics (PA) and behavioral targeting (BT) will be useful ...
This article addresses implications for democracy of two interconnected developments involving big d...
Digital media provide multiple measures to quantify television audiences. Newer measures challenge N...
Big data has become an enormous asset for on-demand content distribution services, helping informati...
This article discusses the emergence of a computational social science analytics fusion as a mainstr...
“Television Ratings: From Audimeter to Big Data” is a recuperative history of television ratings tha...
We are at a pivotal moment for understanding and deciding what is actually at stake with dataficatio...