@article{WenningerCheungKrasnova2019, author = {Wenninger, Helena Eva and Cheung, Christy M. K. and Krasnova, Hanna}, title = {College-aged users behavioral strategies to reduce envy on social networking sites}, series = {Computers in human behavior}, volume = {97}, journal = {Computers in human behavior}, publisher = {Elsevier}, address = {Oxford}, issn = {0747-5632}, doi = {10.1016/j.chb.2019.02.025}, pages = {10 -- 23}, year = {2019}, abstract = {Social networking sites (SNSs) are central to social interaction and information sharing in the digital age. However, consuming social information on SNSs invites social upward comparisons with highly socially desirable profile representations, which easily elicits envy in users and leads to unfavorable behaviors on SNSs. This in turn can erode the subjective well-being of users and the sustainability of the SNS platform. Therefore, this paper seeks to develop a better theoretical understanding of how users respond to envy on SNSs. We review literature on envy in offline interactions to derive three behavioral strategies to reduce envy, which we then transfer to the SNS context (self-enhancement, gossiping, and discontinuous intention). Further, we propose a research model and examine how culture, specifically individualism-collectivism, affects the relationship between envy on an SNS and the three strategies. We empirically test the variance-based structural equation model through survey data collected of Facebook users from Germany and Hong Kong. Our findings provide first insights into the link between envy on SNSs, related behavioral strategies and the moderating role of individualism for self-enhancement.}, language = {en} } @inproceedings{RisiusBaumannKrasnova2020, author = {Risius, Marten and Baumann, Annika and Krasnova, Hanna}, title = {Developing a new paradigm}, 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 = {Internet users commonly agree that it is important for them to protect their personal data. However, the same users readily disclose their data when requested by an online service. The dichotomy between privacy attitude and actual behaviour is commonly referred to as the "privacy paradox". Over twenty years of research were not able to provide one comprehensive explanation for the paradox and seems even further from providing actual means to overcome the paradox. We argue that the privacy paradox is not just an instantiation of the attitude-behaviour gap. Instead, we introduce a new paradigm explaining the paradox as the result of attitude-intention and intentionbehaviour gaps. Historically, motivational goal-setting psychologists addressed the issue of intentionbehaviour gaps in terms of the Rubicon Model of Action Phases and argued that commitment and volitional strength are an essential mechanism that fuel intentions and translate them into action. Thus, in this study we address the privacy paradox from a motivational psychological perspective by developing two interventions on Facebook and assess whether the 287 participants of our online experiment actually change their privacy behaviour. The results demonstrate the presence of an intentionbehaviour gap and the efficacy of our interventions in reducing the privacy paradox.}, language = {en} } @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} } @inproceedings{KoesterKrasnovaTarafdar2022, author = {K{\"o}ster, Antonia and Krasnova, Hanna and Tarafdar, Monideepa}, title = {Visual normalization of the thin ideal}, series = {Wirtschaftsinformatik 2022 Proceedings: track 21}, booktitle = {Wirtschaftsinformatik 2022 Proceedings: track 21}, publisher = {AIS Electronic Library (AISeL)}, address = {[Erscheinungsort nicht ermittelbar]}, pages = {17}, year = {2022}, abstract = {Visual Social Networking Sites (SNSs) enable users to present themselves favorably to gain likes and the attention of others. Especially, Instagram is known for its focus on beauty, fitness, fashion, and dietary topics. Although a large body of research reports negative weight-related outcomes of SNS usage (e.g., body dissatisfaction, body image concerns), studies examining how SNS usage relates to these outcomes are scarce. Based on the visual normalization theory, we argue that SNS content facilitates normalization of so-called thin- and fit-ideals, thereby leading to biased perceptions of the average body weight in society. Therefore, this study tests whether Instagram use is associated with perceiving that the average person weighs less. Responses of 181 survey participants confirm that Instagram use is negatively related to average weight perception of both women and men. These findings contribute to the growing body of research on how SNS use relates to negative weight-related outcomes.}, language = {en} } @inproceedings{KrasnovaGundlachBaumann2022, author = {Krasnova, Hanna and Gundlach, Jana and Baumann, Annika}, title = {Coming back for more}, series = {PACIS 2022 proceedings}, booktitle = {PACIS 2022 proceedings}, publisher = {AIS Electronic Library (AISeL)}, address = {[Erscheinungsort nicht ermittelbar]}, isbn = {9781958200018}, year = {2022}, abstract = {Recent spikes in social networking site (SNS) usage times have launched investigations into reasons for excessive SNS usage. Extending research on social factors (i.e., fear of missing out), this study considers the News Feed setup. More specifically, we suggest that the order of the News Feed (chronological vs. algorithmically assembled posts) affects usage behaviors. Against the background of the variable reward schedule, this study hypothesizes that the different orders exert serendipity differently. Serendipity, termed as unexpected lucky encounters with information, resembles variable rewards. Studies have evidenced a relation between variable rewards and excessive behaviors. Similarly, we hypothesize that order-induced serendipitous encounters affect SNS usage times and explore this link in a two-wave survey with an experimental setup (users using either chronological or algorithmic News Feeds). While theoretically extending explanations for increased SNS usage times by considering the News Feed order, practically the study will offer recommendations for relevant stakeholders.}, language = {en} } @inproceedings{KrasnovagrosseDetersGladkaya2021, author = {Krasnova, Hanna and große Deters, Fenne and Gladkaya, Margarita}, title = {Examining social media as a driver of perfectionism}, series = {PACIS 2021 proceedings}, booktitle = {PACIS 2021 proceedings}, publisher = {AIS Electronic Library (AISeL)}, address = {[Erscheinungsort nicht ermittelbar]}, isbn = {978-1-7336325-7-7}, year = {2021}, abstract = {Perfectionism is a personality disposition characterized by setting extremely high performance-standards coupled with critical self-evaluations. Often conceived as positive, perfectionism can yield not only beneficial but also deleterious outcomes ranging from anxiety to burnout. In this proposal, we set out to investigate the role of the technology and, particularly, social media in individuals' strivings for perfection. We lay down theoretical bases for the possibility that social media plays a role in the development of perfectionism. To empirically test the hypothesized relationship, we propose a comprehensive study design based on the experience sampling method. Lastly, we provide an overview of the planned analysis and future steps.}, language = {en} } @inproceedings{GundlachKoesterKrasnovaetal.2020, author = {Gundlach, Jana and K{\"o}ster, Antonia and Krasnova, Hanna and Tarafdar, Monideepa}, title = {How messy is your news feed}, 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 = {Social Networking Sites (SNSs) are pervasive in our daily lives. However, emerging reports suggest that people are increasingly dissatisfied with their experience of SNSs News Feeds. Motivated by the cognitive load theory, the paper postulates that arrangement and presentation of information are important constituents of one's Facebook News Feed experience. Integrating these factors into the novel concept of 'perceived disorder', this paper hypothesizes that the perception of disorder elicited by the Facebook News Feed plays an important role in causing discontinuance intentions. Drawing on the Stressor-Strain-Outcome Model, we suggest that perceived disorder leads to SNS discontinuance intention and is partially mediated by SNS fatigue. The paper uses the responses of 268 Facebook users to investigate these relationships and introduces perceived disorder as a novel stressor. Besides adding to the existing body of literature, these insights are of relevance to internet service providers, policy makers and SNS users.}, language = {en} } @inproceedings{BergertKoesterKrasnovaetal.2020, author = {Bergert, Cora and K{\"o}ster, Antonia and Krasnova, Hanna and Turel, Ofir}, title = {Missing out on life}, series = {Proceedings of the 15th International Conference on Wirtschaftsinformatik : WI2020 Zentrale Tracks}, booktitle = {Proceedings of the 15th International Conference on Wirtschaftsinformatik : WI2020 Zentrale Tracks}, publisher = {GITO Verlag f{\"u}r Industrielle Informationstechnik und Organisation}, address = {Berlin}, isbn = {978-3-95545-335-0}, doi = {10.30844/wi_2020_f1-bergert}, pages = {568 -- 583}, year = {2020}, abstract = {Mobile devices have become an integral part of everyday life due to their portability. As literature shows, technology use is not only beneficial but also has dark sides, such as addiction. Parents face the need to balance perceived benefits and risks of children's exposure to mobile technologies. However, no study has uncovered what kind of benefits and concerns parents consider when implementing technology-related rules. We built on qualitative responses of 300 parents of children aged two to thirteen to explore concerns about, and perceived benefits of children's smartphone and tablet usage, as well as the rules parents have developed regarding technology use. Findings point to concerns regarding children's development, as well as benefits for both children and parents, and ultimately to new insights about mobile technology mediation. These results provide practical guidance for parents, physicians and mobile industry stakeholders, trying to ensure that children are acting responsibly with mobile technology.}, 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} } @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} }