@article{BuenningHipp2022,
  author    = {B{\"u}nning, Mareike and Hipp, Lena},
  title     = {How can we become more equal?},
  series = {Journal of European social policy},
  volume    = {32},
  journal   = {Journal of European social policy},
  number    = {2},
  publisher = {Sage Publ.},
  address   = {London},
  issn      = {0958-9287},
  doi       = {10.1177/09589287211035701},
  pages     = {182 -- 196},
  year      = {2022},
  abstract  = {This study examines how public policies affect parents' preferences for a more egalitarian division of paid and unpaid work. Based on the assumption that individuals develop their preferences within a specific policy context, we examine how changes in three policies affect mothers' and fathers' work-family preferences: the availability of high-quality, affordable childcare; the right to return to a full-time job after having reduced hours to part-time and an increase in the number of 'partner months' in parental leave schemes. Analysing a unique probability sample of parents with young children in Germany from 2015 (N = 1756), we find that fathers would want to work slightly fewer hours if they had the right to return to a full-time position after working part-time, and mothers would want to work slightly more hours if childcare opportunities were improved. Full-time working parents, moreover, are found to prefer fewer hours independent of the policy setting, while non-employed parents would like to work at least some hours. Last but not least, our analyses show that increasing the number of partner months in the parental leave scheme considerably increases fathers' preferences for longer and mothers' preferences for shorter leave. Increasing the number of partner months in parental schemes hence has the greatest potential to increase gender equality.},
  language  = {en}
}
@article{SeewannVerwiebeBuderetal.2022,
  author    = {Seewann, Lena and Verwiebe, Roland and Buder, Claudia and Fritsch, Nina-Sophie},
  title     = {"Broadcast your gender."},
  series = {Frontiers in Big Data},
  journal   = {Frontiers in Big Data},
  number    = {5},
  publisher = {Frontiers},
  address   = {Lausanne, Schweiz},
  issn      = {2624-909X},
  doi       = {10.3389/fdata.2022.908636},
  pages     = {16},
  year      = {2022},
  abstract  = {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 Na{\"i}ve 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.},
  language  = {en}
}
@article{KhalilKohlerTjaden2022,
  author    = {Khalil, Samir and Kohler, Ulrich and Tjaden, Jasper Dag},
  title     = {Is There a Rural Penalty in Language Acquisition? Evidence From Germany's Refugee Allocation Policy},
  series = {Frontiers in Sociology},
  volume    = {7},
  journal   = {Frontiers in Sociology},
  publisher = {Frontiers},
  address   = {Lausanne, Schweiz},
  issn      = {2297-7775},
  doi       = {10.3389/fsoc.2022.841775},
  pages     = {1 -- 11},
  year      = {2022},
  abstract  = {Emerging evidence has highlighted the important role of local contexts for integration trajectories of asylum seekers and refugees. Germany's policy of randomly allocating asylum seekers across Germany may advantage some and disadvantage others in terms of opportunities for equal participation in society. This study explores the question whether asylum seekers that have been allocated to rural areas experience disadvantages in terms of language acquisition compared to those allocated to urban areas. We derive testable assumptions using a Directed Acyclic Graph (DAG) which are then tested using large-N survey data (IAB-BAMF-SOEP refugee survey). We find that living in a rural area has no negative total effect on language skills. Further the findings suggest that the "null effect" is the result of two processes which offset each other: while asylum seekers in rural areas have slightly lower access for formal, federally organized language courses, they have more regular exposure to German speakers.},
  language  = {en}
}
@misc{Juchler2022,
  author    = {Juchler, Ingo},
  title     = {Narrationen in der f{\"a}cher{\"u}bergreifenden politischen Bildung},
  publisher = {bbp, Bundeszentrale f{\"u}r politische Bildung},
  address   = {Bonn},
  pages     = {19},
  year      = {2022},
  abstract  = {In welchem Verh{\"a}ltnis stehen Literatur und das Politische? F{\"o}rdert narrative politische Bildung Ambiguit{\"a}tstoleranz und Mehrstimmigkeit? Der Beitrag diskutiert aktuelle didaktische Theorien und Beispiele.},
  language  = {de}
}