TY - THES A1 - Baum, Katharina T1 - Social networking sites BT - implications for individual well-being and society Y1 - 2023 ER - TY - JOUR A1 - Baum, Katharina A1 - Abramova, Olga A1 - Meißner, Stefan A1 - Krasnova, Hanna T1 - The effects of targeted political advertising on user privacy concerns and digital product acceptance BT - a preference-based approach JF - Electronic markets N2 - 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. KW - online privacy KW - targeting KW - advertisement KW - DCE Y1 - 2023 U6 - https://doi.org/10.1007/s12525-023-00656-1 SN - 1019-6781 SN - 1422-8890 VL - 33 IS - 46 PB - Springer CY - Heidelberg ER - TY - CHAP A1 - Baum, Katharina A1 - Köster, Antonia A1 - Krasnova, Hanna A1 - Tarafdar, Monideepa T1 - Living in a world of plenty? BT - how social network sites use distorts perceptions of wealth inequality T2 - Proceedings of the 28th European Conference on Information Systems (ECIS) : ECIS 2020 Research Papers N2 - 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. Y1 - 2020 UR - https://aisel.aisnet.org/ecis2020_rp/199 PB - AIS Electronic Library (AISeL) CY - [Erscheinungsort nicht ermittelbar] ER - TY - JOUR A1 - Baum, Katharina A1 - Meissner, Stefan A1 - Krasnova, Hanna T1 - Partisan self-interest is an important driver for people’s support for the regulation of targeted political advertising JF - PLoS one N2 - 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. Y1 - 2021 U6 - https://doi.org/10.1371/journal.pone.0250506 SN - 1932-6203 VL - 16 IS - 5 PB - PLoS CY - San Fransisco ER - TY - GEN A1 - Krause, Hannes-Vincent A1 - Baum, Katharina A1 - Baumann, Annika A1 - Krasnova, Hanna T1 - Unifying the detrimental and beneficial effects of social network site use on self-esteem BT - a systematic literature review T2 - Postprints der Universität Potsdam Humanwissenschaftliche Reihe N2 - 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. T3 - Zweitveröffentlichungen der Universität Potsdam : Humanwissenschaftliche Reihe - 567 KW - facebook use KW - life satisfaction KW - college-students KW - body-image KW - time spent KW - media use KW - online KW - validation KW - friends KW - impact Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-435037 SN - 1866-8364 IS - 567 ER - TY - JOUR A1 - Langenhan, Jennifer A1 - Jaeger, Carsten A1 - Baum, Katharina A1 - Simon, Mareike A1 - Lisec, Jan T1 - A flexible tool to correct superimposed mass isotopologue distributions in GC-APCI-MS flux experiments JF - Metabolites N2 - 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. KW - mass isotopologue distribution KW - enrichment calculation KW - flux KW - experiments KW - atmospheric pressure chemical ionization KW - R package KW - CorMID Y1 - 2022 U6 - https://doi.org/10.3390/metabo12050408 SN - 2218-1989 VL - 12 IS - 5 PB - MDPI CY - Basel ER -