Audience Evolution: New Technologies and the Transformation of Media Audiences

By Louisa Ha. 2011

410 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/6d503dcdccffb66edeb20685236e20519471ce75

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Citations in the corpus

Automated Media: An Institutional Theory Perspective on Algorithmic Media Production and Consumption (2014, background): “…this “Big Data” era, media organizations have an ever-expanding supply of data on audiences’ media consumption patterns and preferences to draw upon (Napoli, 2011), and algorithms play a 348 Communication Theory 24 (2014) 340–360 © 2014 International Communication Association central role in…”
The Dynamics of Audience Fragmentation: Public Attention in an Age of Digital Media (2012, background): “They inevitably portray the media environment in ways that highlight some features and not others (Napoli, 2011; Webster, 2010).”
One Click, Many Meanings: Interpreting Paralinguistic Digital Affordances in Social Media (2016, background): “Others (e.g., Napoli, 2011) have noted the nature of interactivity may be, in part, a product of the channel more than the individuals using the tool, and it may be that a PDA on a channel for predominantly social or interpersonal interaction (e.g., Facebook, Instagram) is qualitatively different…”
Heuristics of the algorithm: Big Data, user interpretation and institutional translation (2015, background): “Historically and from the perspective of the traditional (mass) media industry, media audiences were constructed from socio-logically based Gaussian variables such as age, gender, socio-economic status, and education (Bjur, 2009; Napoli, 2011; Webster and Phalen, 1997).”
Journalism is twerking? How web analytics is changing the process of gatekeeping (2014, background): “Web analytics programs provide a range of audience metrics, such as number of page views, amount of viewing time, and site referrals, among others (Kaushik, 2010; Napoli, 2011).”
Algorithms in practice: Comparing web journalism and criminal justice (2017, background): “Throughout the twentieth century, companies like Nielsen or Arbitron have relied on panel-based surveys to gather data about audience behavior and sell it to news organizations (Napoli, 2011).”