The potential of machine mediation in the maintenance of public service media
Jackson, L. (2017). The potential of machine mediation in the maintenance of public service media. in: Dobek-Ostrowska, B and Glowacki, M (ed.) Public Service Media Renewal: Adaptation to Digital Network Challenges Peter Lang.
|Editors||Dobek-Ostrowska, B and Glowacki, M|
This production study argues predictive analytics (PA) and behavioral targeting (BT) will be useful for public service media (PSM). Whereas PA is the offering of digital content based on personal data, previous browsing behaviors, and user preferences, BT is the nuanced matching of content to audience segments. The topic is of critical importance for leaders of PSM, for media regulators and for audiences. The study draws on network and new media theory to provide context. The rationale for the study is the urgent need for PSM to begin using advanced digital production processes as mediation by machine is giving commercial digital firms a market advantage. An alternative PSM approach would benefit the quality of the public sphere. The use of PA and BT is considered in four cases: the websites of The Guardian and the BBC in the UK, and The Washington Post and CNN in the USA.
|Keywords||public service media; audience analysis; predictive analytics; behavioural targeting; big data; privacy|
|Book title||Public Service Media Renewal: Adaptation to Digital Network Challenges|
|31 Mar 2017|
|Publication process dates|
|Deposited||11 Jul 2017|
|Accepted||31 Mar 2017|
|Accepted author manuscript|
CC BY-NC-ND 4.0
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