Avoidance of Social Media Advertising: A Latent Profile Analysis
Faculty/Professorship: | Information Systems and Services |
Author(s): | Mattke, Jens ; Reis, Lea ![]() ![]() |
By: | ... ; Müller, Lea ; ... |
Title of the compilation: | SIGMIS-CPR'18: Proceedings of the 2018 ACM SIGMIS Conference on Computers and People Research |
Corporate Body: | ACM SIGMIS CPR Conference, Buffalo-Niagara Falls, NY, USA — June 18 - 20, 2018 |
Publisher Information: | New York, NY, USA : ACM |
Year of publication: | 2018 |
Pages: | 50-57 |
ISBN: | 978-1-4503-5768-5 |
Language(s): | English |
DOI: | 10.1145/3209626.3209705 |
Abstract: | Some individuals actively avoid social media advertising, for instance by scrolling over ads or ignoring ads. Therefore, this research aims to identify distinct profiles of individuals avoiding social media advertising. We build upon the advertising avoidance model and take a person-centered approach, using latent profile analysis to identify different profiles of individuals, who avoid social media advertising. We identified three distinct profiles of individuals, differing in their perception and their level of avoidance: unconcerned users, playful avoiding users and goal-oriented users. We contribute by characterizing individuals avoiding SMA, so that companies can use these profiles to derive different strategies how to deal with different profiles of individuals. |
Peer Reviewed: | Ja |
International Distribution: | Ja |
Type: | Conferenceobject |
URI: | https://fis.uni-bamberg.de/handle/uniba/45050 |
Year of publication: | 7. January 2019 |

originated at the
University of Bamberg
University of Bamberg