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The Power of Peers: Why Human Curation Solves Content Overload in Today's Streaming Services.

Record Type:	Electronic resources : Monograph/item
Title/Author:	The Power of Peers: Why Human Curation Solves Content Overload in Today's Streaming Services./
Author:	Silva, Christopher Vernon.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
Description:	160 p.
Notes:	Source: Masters Abstracts International, Volume: 82-09.
Contained By:	Masters Abstracts International82-09.
Subject:	Mass communications. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28318862
ISBN:	9798582552680

The Power of Peers: Why Human Curation Solves Content Overload in Today's Streaming Services.
Silva, Christopher Vernon.

The Power of Peers: Why Human Curation Solves Content Overload in Today's Streaming Services. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 160 p.

Source: Masters Abstracts International, Volume: 82-09.

Thesis (M.S.)--Drexel University, 2021.

This item must not be sold to any third party vendors.

Over-the-Top (OTT) services provide consumers with a seemingly limitless library of video content, online accessibility, and on-demand control without the need for a traditional pay-TV subscription. Unfortunately, the amount of content provided by these services exceeds a consumer's ability to fully comprehend and control. Consequently, consumers undergo a choice paralysis, where indecision and the likelihood of choosing a less enjoyable option increases with the amount available. OTT services have used either algorithmic engines or human curation recommendation models to mitigate these concerns. The purpose of this study is to determine which of these models is best suited for alleviating content overload and choice paralysis with American OTT subscribers. The study followed a quantitative design, as a survey was conducted to examine subscribers' habits and preferences with today's streaming services. These habits and preferences measured purchasing behavior, content preferences, and content recommendations. Results defined the existence of content overload and choice paralysis with OTT subscribers but indicated little influence over purchasing behavior. The study also revealed that human curation is more equipped to alleviate content overload and choice paralysis. Finally, the study showed that algorithmic recommendations are potentially undermined by a level of social exchange, as subscribers generally always share their services with others, diluting any intended personalization.

ISBN: 9798582552680Subjects--Topical Terms:

3422380
Mass communications.
Subjects--Index Terms:

Algorithmic engines

The Power of Peers: Why Human Curation Solves Content Overload in Today's Streaming Services.
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500 $a Source: Masters Abstracts International, Volume: 82-09.
500 $a Advisor: Cowart, Helen Claire.
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520 $a Over-the-Top (OTT) services provide consumers with a seemingly limitless library of video content, online accessibility, and on-demand control without the need for a traditional pay-TV subscription. Unfortunately, the amount of content provided by these services exceeds a consumer's ability to fully comprehend and control. Consequently, consumers undergo a choice paralysis, where indecision and the likelihood of choosing a less enjoyable option increases with the amount available. OTT services have used either algorithmic engines or human curation recommendation models to mitigate these concerns. The purpose of this study is to determine which of these models is best suited for alleviating content overload and choice paralysis with American OTT subscribers. The study followed a quantitative design, as a survey was conducted to examine subscribers' habits and preferences with today's streaming services. These habits and preferences measured purchasing behavior, content preferences, and content recommendations. Results defined the existence of content overload and choice paralysis with OTT subscribers but indicated little influence over purchasing behavior. The study also revealed that human curation is more equipped to alleviate content overload and choice paralysis. Finally, the study showed that algorithmic recommendations are potentially undermined by a level of social exchange, as subscribers generally always share their services with others, diluting any intended personalization.
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653 $a Personalization
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