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Algorithmic selection on the Internet


Just, Natascha; Latzer, Michael (2018). Algorithmic selection on the Internet. In: Warf, Barney. The SAGE Encyclopedia of the Internet. Thousand Oaks: Sage, 12-14.

Abstract

The Internet is increasingly permeating daily life with an essential and structuring bundle of innovations: Internet-based applications that operate on algorithmic selection. Automated algorithmic selection is embedded in a variety of services and applied for numerous purposes. Algorithms in search engines or news Aggregators select information in general and news in particular; in recommender systems, they suggest music and video entertainment or influence one’s choice of products. They may also suggest friends, partners, and travel routes. Moreover, they are used to automatically produce news articles and messages in social media, to calculate scoring of content and people, and to observe behavior and interests as well as to predict and shape future needs and actions. Although their modes of operation differ in detail, all these applications share a common defining functionality: They automatically select information elements and assign relevance to them.

Abstract

The Internet is increasingly permeating daily life with an essential and structuring bundle of innovations: Internet-based applications that operate on algorithmic selection. Automated algorithmic selection is embedded in a variety of services and applied for numerous purposes. Algorithms in search engines or news Aggregators select information in general and news in particular; in recommender systems, they suggest music and video entertainment or influence one’s choice of products. They may also suggest friends, partners, and travel routes. Moreover, they are used to automatically produce news articles and messages in social media, to calculate scoring of content and people, and to observe behavior and interests as well as to predict and shape future needs and actions. Although their modes of operation differ in detail, all these applications share a common defining functionality: They automatically select information elements and assign relevance to them.

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Additional indexing

Item Type:Book Section, not_refereed, original work
Communities & Collections:06 Faculty of Arts > Department of Communication and Media Research
Dewey Decimal Classification:070 News media, journalism & publishing
Uncontrolled Keywords:Computer-mediated communication
Language:English
Date:2018
Deposited On:25 Feb 2019 11:13
Last Modified:21 Mar 2023 08:33
Publisher:Sage
ISBN:9781526450432
OA Status:Closed
Publisher DOI:https://doi.org/10.4135/9781473960367.n10