@inproceedings{BatzelBaum,
  author    = {Batzel, Katharina and Baum, Katharina},
  title     = {Exploring information flow on twitter: social network analysis on gender-specific sedicine},
  series = {AMCIS Proceedings 2022},
  booktitle = {AMCIS Proceedings 2022},
  number    = {1548},
  publisher = {AIS},
  address   = {Atlanta},
  isbn      = {978-1-958200-00-1},
  abstract  = {To date, sex and gender differences play only a minor role in medical research and practice, thereby putting individuals' health at risk. Gender-specific medicine, or the practice of taking these differences into account when conducting research and treating patients so far is being discussed primarily by experts. With people increasingly using social media such as Twitter for sharing and searching for health-related information online, Twitter can potentially educate about gender-specific medicine. However, little is known about the information circulation and the structure of interactions on the Twitter network discussing this topic. Results of a network analysis show that the network exhibits a community-structure, with information exchange being limited and concentrated in silos. This indicates that there is untapped potential for acquiring new information by users through interacting with individuals outside their community. Public health officials may benefit from this insight and tailor online campaigns to enhance awareness on gender-specific medicine.},
  language  = {en}
}
@phdthesis{Baum2023,
  author    = {Baum, Katharina},
  title     = {Social networking sites},
  school      = {Universit{\"a}t Potsdam},
  pages     = {281},
  year      = {2023},
  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}
}
@inproceedings{BaumKoesterKrasnovaetal.2020,
  author    = {Baum, Katharina and K{\"o}ster, Antonia and Krasnova, Hanna and Tarafdar, Monideepa},
  title     = {Living in a world of plenty?},
  series = {Proceedings of the 28th European Conference on Information Systems (ECIS) : ECIS 2020 Research Papers},
  booktitle = {Proceedings of the 28th European Conference on Information Systems (ECIS) : ECIS 2020 Research Papers},
  publisher = {AIS Electronic Library (AISeL)},
  address   = {[Erscheinungsort nicht ermittelbar]},
  year      = {2020},
  abstract  = {Inequality in the distribution of economic wealth within populations has been rising steadily over the past century, having reached unprecedented highs in many Western societies. However, this development is not reflected in people's perceptions of wealth inequality, as the public tends to underestimate it. Research suggests that inequality estimates are derived from personal reference groups, which, as we propose, are expanded by social network site (SNS) use. As content on SNSs frequently revolves around events of consumption, signaling enhanced overall population wealth, this study tests the hypothesis that SNS use distorts inequality perceptions downward, i.e., increases the perception of societal equality. Responses of 534 survey participants in the United States confirm that SNS use negatively predicts perceived inequality. The relationship is stronger the more SNS users perceive the content they encounter online as real, supporting the assumption that observing other people's behavior online lowers estimates of nationwide wealth inequality. These findings provide novel insights on inequality misperceptions by suggesting individuals' SNS use as a new predictor of perceived wealth inequality.},
  language  = {en}
}
@article{BaumMeissnerKrasnova2021,
  author    = {Baum, Katharina and Meissner, Stefan and Krasnova, Hanna},
  title     = {Partisan self-interest is an important driver for people's support for the regulation of targeted political advertising},
  series = {PLoS one},
  volume    = {16},
  journal   = {PLoS one},
  number    = {5},
  publisher = {PLoS},
  address   = {San Fransisco},
  issn      = {1932-6203},
  doi       = {10.1371/journal.pone.0250506},
  pages     = {20},
  year      = {2021},
  abstract  = {The rapid emergence of online targeted political advertising has raised concerns over data privacy and what the government's response should be. This paper tested and confirmed the hypothesis that public attitudes toward stricter regulation of online targeted political advertising are partially motivated by partisan self-interest. We conducted an experiment using an online survey of 1549 Americans who identify as either Democrats or Republicans. Our findings show that Democrats and Republicans believe that online targeted political advertising benefits the opposing party. This belief is based on their conviction that their political opponents are more likely to be mobilized by online targeted political advertising than are supporters of their own party. We exogenously manipulated partisan self-interest considerations of a random subset of participants by truthfully informing them that, in the past, online targeted political advertising has benefited Republicans. Our findings show that Republicans informed about this had less favorable attitudes toward regulation than did their uninformed co-partisans. This suggests that Republicans' attitudes regarding stricter regulation are based not solely on concerns about privacy violations, but also, in part, are caused by beliefs about partisan advantage. The results imply that people are willing to accept violations of their privacy if their preferred party benefits from the use of online targeted political advertising.},
  language  = {en}
}
@misc{KrauseBaumBaumannetal.2019,
  author    = {Krause, Hannes-Vincent and Baum, Katharina and Baumann, Annika and Krasnova, Hanna},
  title     = {Unifying the detrimental and beneficial effects of social network site use on self-esteem},
  series = {Postprints der Universit{\"a}t Potsdam Humanwissenschaftliche Reihe},
  journal   = {Postprints der Universit{\"a}t Potsdam Humanwissenschaftliche Reihe},
  number    = {567},
  issn      = {1866-8364},
  doi       = {10.25932/publishup-43503},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-435037},
  pages     = {39},
  year      = {2019},
  abstract  = {Previous research offers equivocal results regarding the effect of social networking site use on individuals' self-esteem. We con- duct a systematic literature review to examine the existing litera- ture and develop a theoretical framework in order to classify the results. The framework proposes that self-esteem is affected by three distinct processes that incorporate self-evaluative informa- tion: social comparison processes, social feedback processing, and self-reflective processes. Due to particularities of the social networking site environment, the accessibility and quality of self- evaluative information is altered, which leads to online-specific effects on users' self-esteem. Results of the reviewed studies suggest that when a social networking site is used to compare oneself with others, it mostly results in decreases in users' self- esteem. On the other hand, receiving positive social feedback from others or using these platforms to reflect on one's own self is mainly associated with benefits for users' self-esteem. Nevertheless, inter-individual differences and the specific activ- ities performed by users on these platforms should be considered when predicting individual effects.},
  language  = {en}
}
@article{LangenhanJaegerBaumetal.2022,
  author    = {Langenhan, Jennifer and Jaeger, Carsten and Baum, Katharina and Simon, Mareike and Lisec, Jan},
  title     = {A flexible tool to correct superimposed mass isotopologue distributions in GC-APCI-MS flux experiments},
  series = {Metabolites},
  volume    = {12},
  journal   = {Metabolites},
  number    = {5},
  publisher = {MDPI},
  address   = {Basel},
  issn      = {2218-1989},
  doi       = {10.3390/metabo12050408},
  pages     = {10},
  year      = {2022},
  abstract  = {The investigation of metabolic fluxes and metabolite distributions within cells by means of tracer molecules is a valuable tool to unravel the complexity of biological systems. Technological advances in mass spectrometry (MS) technology such as atmospheric pressure chemical ionization (APCI) coupled with high resolution (HR), not only allows for highly sensitive analyses but also broadens the usefulness of tracer-based experiments, as interesting signals can be annotated de novo when not yet present in a compound library. However, several effects in the APCI ion source, i.e., fragmentation and rearrangement, lead to superimposed mass isotopologue distributions (MID) within the mass spectra, which need to be corrected during data evaluation as they will impair enrichment calculation otherwise. Here, we present and evaluate a novel software tool to automatically perform such corrections. We discuss the different effects, explain the implemented algorithm, and show its application on several experimental datasets. This adjustable tool is available as an R package from CRAN.},
  language  = {en}
}