TY - JOUR A1 - Seewann, Lena A1 - Verwiebe, Roland A1 - Buder, Claudia A1 - Fritsch, Nina-Sophie T1 - “Broadcast your gender.” BT - A comparison of four text-based classification methods of German YouTube channels JF - Frontiers in Big Data N2 - Social media platforms provide a large array of behavioral data relevant to social scientific research. However, key information such as sociodemographic characteristics of agents are often missing. This paper aims to compare four methods of classifying social attributes from text. Specifically, we are interested in estimating the gender of German social media creators. By using the example of a random sample of 200 YouTube channels, we compare several classification methods, namely (1) a survey among university staff, (2) a name dictionary method with the World Gender Name Dictionary as a reference list, (3) an algorithmic approach using the website gender-api.com, and (4) a Multinomial Naïve Bayes (MNB) machine learning technique. These different methods identify gender attributes based on YouTube channel names and descriptions in German but are adaptable to other languages. Our contribution will evaluate the share of identifiable channels, accuracy and meaningfulness of classification, as well as limits and benefits of each approach. We aim to address methodological challenges connected to classifying gender attributes for YouTube channels as well as related to reinforcing stereotypes and ethical implications. KW - text based classification methods KW - gender KW - YouTube KW - machine learning KW - authorship attribution Y1 - 2022 U6 - https://doi.org/10.3389/fdata.2022.908636 SN - 2624-909X IS - 5 PB - Frontiers CY - Lausanne, Schweiz ER - TY - JOUR A1 - Fritsch, Nina-Sophie A1 - Riederer, Bernhard A1 - Seewann, Lena T1 - Living alone in the city BT - differentials in subjective well-being among single households 1995–2018 JF - Applied research in quality of life N2 - Over the past decades, the number of single households is constantly rising in metropolitan regions. In addition, they became increasingly heterogeneous. In the media, individuals who live alone are sometimes still presented as deficient. Recent research, however, indicates a way more complex picture. Using the example of Vienna, this paper investigates the quality of life of different groups of single households in the city. Based on five waves of the Viennese Quality of Life Survey covering almost a quarter of a century (1995–2018), we analyse six domains of subjective well-being (satisfaction with the financial situation, the housing situation, the main activity, the family life, social contacts, and leisure time activities). Our analyses reveal that, in most domains, average satisfaction of single households has hardly changed over time. However, among those living alone satisfaction of senior people (60+) increased while satisfaction of younger people (below age 30) decreased. Increasing differences in satisfaction with main activity, housing, or financial situation reflect general societal developments on the Viennese labour and housing markets. The old clichéd images of the “young, reckless, happy single” and the “lonely, poor, dissatisfied senior single” reverse reality. KW - subjective well-being KW - living alone KW - singles KW - gender KW - age KW - Vienna Y1 - 2023 U6 - https://doi.org/10.1007/s11482-023-10177-w SN - 1871-2584 SN - 1871-2576 VL - 18 IS - 4 SP - 2065 EP - 2087 PB - Springer Netherlands CY - Dordrecht ER - TY - JOUR A1 - Seewann, Lena A1 - Verwiebe, Roland T1 - How do people interpret the value concept? BT - development and evaluation of the value conceptualisation scale using a mixed method approach JF - Journal of beliefs and values N2 - Value research has a long and extensive history of theoretical definitions and empirical investigations using large scale quantitative surveys. However, the way the general population understands, defines, and relates to the concept of values, and how these views vary across individuals is seldom addressed. The present study examined subjective interpretations of the term through focus group interviews, and reports on the development of a Value Conceptualisation Scale (VCS) that distinguishes six dimensions of different views on values: normativity, relevance, validity, stability, consistency, and awareness. Focus group interviews (n = 38) as well as several surveys (n = 100, n = 1519, n = 903, n = 94) were used to develop, refine, and test the scale in terms of response variety, temporal stability, as well as convergent and discriminant validity. These systematic results show that views on values do indeed vary significantly between participants. Correlations with dogmatism, preference for consistency, and metacognition were found for corresponding dimensions. The VCS provides an original measure, which enables future research to explore this variation on the conceptualisation of values. KW - Human values KW - scale development KW - mixed methods KW - focus group Y1 - 2020 U6 - https://doi.org/10.1080/13617672.2019.1707748 SN - 1469-9362 SN - 1361-7672 VL - 41 IS - 6 SP - 419 EP - 432 PB - Routledge CY - Abingdon ER - TY - JOUR A1 - Riederer, Bernhard Edwin A1 - Verwiebe, Roland A1 - Seewann, Lena T1 - Changing social stratification in Vienna BT - why are migrants declining from the middle of society? JF - Population, Space and Place N2 - The social stratification systems of major cities are transforming all around the globe. International research has been discussing this trend and focus on changing occupational classes. However, the precise effects on urban households, taking social welfare and different family arrangements into account, as well as the precise effects on people with a migration background, remain unclear. Using the example of Vienna, this article examines immigration as a key dimension for social stratification. Although household income structures in Austria have remained comparatively stable over the past two decades, the middle-income share in Vienna (as the sole metropolis in Austria) has dramatically decreased. This predominantly affects people from migrant backgrounds. Using a comprehensive dataset (two waves, N = 16,700 participants, including N = 4,500 migrants), we systematically examine the role of (a) migration-specific and (b) education- and employment-related factors to explain the decline of middle-income migrants. The results of multinomial logistic regression and decomposition analyses suggest that transformations in the labour market is the main driving force. Changing migrant characteristics have counteracted this process. If today's migrants displayed similar showed characteristics (e.g., origin and educational levels) to those prevalent in the past decade, the ethnic stratification disparities would have been even stronger. Y1 - 2019 U6 - https://doi.org/10.1002/psp.2215 SN - 1544-8444 SN - 1544-8452 VL - 25 IS - 2 SP - 1 EP - 11 PB - Wiley-Blackwell CY - New York ER -