The Long Way Round to Personalised Universalism: PSM Organisations' Experiences with Algorithmic Personalisation

Jannick Kirk Sørensen

The Long Way Round to Personalised Universalism: PSM Organisations' Experiences with Algorithmic Personalisation

Research output: Contribution to conference without publisher/journal › Paper without publisher/journal › Research › peer-review

Abstract

The implementation of algorithmic recommender systems for public service media content triggers a tension between the ideals and praxis. The recommender systems and their business rules require the articulation and quantification of PSM values that previously were unarticulated. Based on 19 interviews and conversations with PSM staff directly involved with the implementation of recommender systems, this paper presents and discusses the practical dilemmas and the tensions between ideals and praxis that emerge in the adaptation of the recommender system technology.

Original language	English
Publication date	19 Oct 2018
Publication status	Published - 19 Oct 2018
Event	RIPE 2018 - CICOM XXXIV: CICOM 34th International Communication Conference - Universidad de Navarra - School of Communication, Madrid, Spain Duration: 17 Oct 2018 → 20 Oct 2018 Conference number: 34 https://www.unav.edu/en/web/facultad-de-comunicacion/cicom34

Conference

Conference	RIPE 2018 - CICOM XXXIV
Number	34
Location	Universidad de Navarra - School of Communication
Country/Territory	Spain
City	Madrid
Period	17/10/2018 → 20/10/2018
Internet address	https://www.unav.edu/en/web/facultad-de-comunicacion/cicom34

Keywords

public service media
recommender system
personalisation

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@conference{87b0408e38854334a8709eafc499644a,

title = "The Long Way Round to Personalised Universalism: PSM Organisations' Experiences with Algorithmic Personalisation",

abstract = "The implementation of algorithmic recommender systems for public service media content triggers a tension between the ideals and praxis. The recommender systems and their business rules require the articulation and quantification of PSM values that previously were unarticulated. Based on 19 interviews and conversations with PSM staff directly involved with the implementation of recommender systems, this paper presents and discusses the practical dilemmas and the tensions between ideals and praxis that emerge in the adaptation of the recommender system technology.",

keywords = "public service media, recommender system, personalisation",

author = "S{\o}rensen, {Jannick Kirk}",

year = "2018",

month = oct,

day = "19",

language = "English",

note = "RIPE 2018 - CICOM XXXIV : CICOM 34th International Communication Conference ; Conference date: 17-10-2018 Through 20-10-2018",

url = "https://www.unav.edu/en/web/facultad-de-comunicacion/cicom34",

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TY - CONF

T1 - The Long Way Round to Personalised Universalism

T2 - RIPE 2018 - CICOM XXXIV

AU - Sørensen, Jannick Kirk

N1 - Conference code: 34

PY - 2018/10/19

Y1 - 2018/10/19

N2 - The implementation of algorithmic recommender systems for public service media content triggers a tension between the ideals and praxis. The recommender systems and their business rules require the articulation and quantification of PSM values that previously were unarticulated. Based on 19 interviews and conversations with PSM staff directly involved with the implementation of recommender systems, this paper presents and discusses the practical dilemmas and the tensions between ideals and praxis that emerge in the adaptation of the recommender system technology.

AB - The implementation of algorithmic recommender systems for public service media content triggers a tension between the ideals and praxis. The recommender systems and their business rules require the articulation and quantification of PSM values that previously were unarticulated. Based on 19 interviews and conversations with PSM staff directly involved with the implementation of recommender systems, this paper presents and discusses the practical dilemmas and the tensions between ideals and praxis that emerge in the adaptation of the recommender system technology.

KW - public service media

KW - recommender system

KW - personalisation

UR - https://www.unav.edu/web/facultad-de-comunicacion/cicom34/programme

M3 - Paper without publisher/journal

Y2 - 17 October 2018 through 20 October 2018

ER -

The Long Way Round to Personalised Universalism: PSM Organisations' Experiences with Algorithmic Personalisation

Abstract

Conference

Keywords

AUB Link

Other files and links

Fingerprint

Algorithmic Public Service Media Content Recommendation

Cite this

The Long Way Round to Personalised Universalism: PSM Organisations' Experiences with Algorithmic Personalisation

Abstract

Conference

Keywords

AUB Link

Other files and links

Fingerprint

Projects

Algorithmic Public Service Media Content Recommendation

Cite this