@article{MeythalerKrauseBaumannetal.2023,
  author    = {Meythaler, Antonia and Krause, Hannes-Vincent and Baumann, Annika and Krasnova, Hanna and Thatcher, Jason Bennett},
  title     = {The rise of metric-based digital status},
  series = {European Journal of Information Systems},
  journal   = {European Journal of Information Systems},
  publisher = {Taylor and Francis},
  address   = {London},
  issn      = {0960-085X},
  doi       = {10.1080/0960085X.2023.2290707},
  pages     = {1 -- 28},
  year      = {2023},
  abstract  = {Widespread on social networking sites (SNSs), envy has been linked to an array of detrimental outcomes for users' well-being. While envy has been considered a status-related emotion and is likely to be experienced in response to perceiving another's higher status, there is a lack of research exploring how status perceptions influence the emergence of envy on SNSs. This is important because SNSs typically quantify social interactions and reach with metrics that indicate users' relative rank and status in the network. To understand how status perceptions impact SNS users, we introduce a new form of metric-based digital status rooted in SNS metrics that are available and visible on a platform. Drawing on social comparison theory and status literature, we conducted an online experiment to investigate how different forms of status contribute to the proliferation of envy on SNSs. Our findings shed light on how metric-based digital status influences feelings of envy on SNSs. Specifically, we could show that metric-based digital status impacts envy through increasing perceptions of others' socioeconomic and sociometric statuses. Our study contributes to the growing discourse on the negative outcomes associated with SNS use and its consequences for users and society.},
  language  = {en}
}
@article{BaumAbramovaMeissneretal.2023,
  author    = {Baum, Katharina and Abramova, Olga and Meißner, Stefan and Krasnova, Hanna},
  title     = {The effects of targeted political advertising on user privacy concerns and digital product acceptance},
  series = {Electronic markets},
  volume    = {33},
  journal   = {Electronic markets},
  number    = {46},
  publisher = {Springer},
  address   = {Heidelberg},
  issn      = {1019-6781},
  doi       = {10.1007/s12525-023-00656-1},
  pages     = {17},
  year      = {2023},
  abstract  = {Online businesses are increasingly relying on targeted advertisements as a revenue stream, which might lead to privacy concerns and hinder product adoption. Therefore, it is crucial for online companies to understand which types of targeted advertisements consumers will accept. In recent years, users have been increasingly targeted by political advertisements, which has caused adverse reactions in media and society. Nonetheless, few studies experimentally investigate user privacy concerns and their role in acceptance decisions in response to targeted political advertisements. To fill this gap, we explore the magnitude of privacy concerns towards targeted political ads compared to "traditional" targeting in the product context. Surprisingly, we find no notable differences in privacy concerns between these data use purposes. In the next step, user preferences over ad types are elicited with the help of a discrete choice experiment in the mobile app adoption context. Our findings suggest that while targeted political advertising is somewhat less desirable than targeted product advertising, the odds of choosing an app are statistically insignificant between two data use purposes. Together, these results contribute to a better understanding of users' privacy concerns and preferences in the context of targeted political advertising online.},
  language  = {en}
}