@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{GuerreroFickelBenhaiemetal.2020,
  author    = {Guerrero, Tania P. and Fickel, J{\"o}rns and Benhaiem, Sarah and Weyrich, Alexandra},
  title     = {Epigenomics and gene regulation in mammalian social systems},
  series = {Current zoology},
  volume    = {66},
  journal   = {Current zoology},
  number    = {3},
  publisher = {Oxford Univ. Press},
  address   = {Oxford},
  issn      = {1674-5507},
  doi       = {10.1093/cz/zoaa005},
  pages     = {307 -- 319},
  year      = {2020},
  abstract  = {Social epigenomics is a new field of research that studies how the social environment shapes the epigenome and how in turn the epigenome modulates behavior. We focus on describing known gene-environment interactions (GEIs) and epigenetic mechanisms in different mammalian social systems. To illustrate how epigenetic mechanisms integrate GEls, we highlight examples where epigenetic mechanisms are associated with social behaviors and with their maintenance through neuroendocrine, locomotor, and metabolic responses. We discuss future research trajectories and open questions for the emerging field of social epigenomics in nonmodel and naturally occurring social systems. Finally, we outline the technological advances that aid the study of epigenetic mechanisms in the establishment of GEIs and vice versa.},
  language  = {en}
}