Skip to main navigation Skip to search Skip to main content

Understanding the Role of Newsfeed Clutter in Stereotype Activation: The Case of Facebook

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Abstract

Social networking sites (SNSs) have increasingly become scenes of deviant behaviors and adverse outcomes. Newsfeed-a central functionality of SNSs-delivers content but often calls for a high number of cognitive resources. Leaning on the S-O-R framework and applying the logic of meaning maintenance theory, we argue that users may experience clutter on the Newsfeed. We propose a novel research model to examine the role of clutter in inducing implicit stereotyping. Qualitative responses illustrate the salience of perceived clutter on the Facebook Newsfeed. Quantitative analysis suggests that perceived disorder is negatively related to stereotype activation measured by Implicit Association Test, and this link is mediated by information overload.

Original languageEnglish
Title of host publicationPacific Asia Conference on Information Systems, PACIS 2021
EditorsDoug Vogel, Kathy Ning Shen, Pan Shan Ling
PublisherThe Association for Information Systems (AIS)
Publication date2021
Article number473
ISBN (Print)9781733632577
Publication statusPublished - 2021
Externally publishedYes
Event25th Pacific Asia Conference on Information Systems, PACIS 2021 - Virtual, Online
Duration: 12.07.202114.07.2021
Conference number: 25
https://aisel.aisnet.org/pacis2021/

Bibliographical note

Publisher Copyright:
© 2021, Association for Information Systems. All rights reserved.

Research areas and keywords

  • Newsfeed
  • S-O-R model
  • Social Networking Sites
  • Stereotype Activation
  • Informatics

ASJC Scopus Subject Areas

  • Management Information Systems
  • Management of Technology and Innovation
  • Library and Information Sciences

Fingerprint

Dive into the research topics of 'Understanding the Role of Newsfeed Clutter in Stereotype Activation: The Case of Facebook'. Together they form a unique fingerprint.

Cite this