human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "weitergeleitet von journalistin the gendered presentation of professions on wikipedia"):
  Abstract: Previous research has shown the existence of gender biases in the depiction of professions and occupations in search engine results. Such an unbalanced presentation might just as likely occur on Wikipedia, one of the most popular knowledge resources on the Web, since the encyclopedia has already been found to exhibit such tendencies in past studies. Under this premise, our work assesses gender bias with respect to the content of German Wikipedia articles about professions and occupations along three dimensions: used male vs. female titles (and redirects), included images of persons, and names of professionals mentioned in the articles. We further use German labor market data to assess the potential misrepresentation of a gender for each specific profession. Our findings in fact provide evidence for systematic over-representation of men on all three dimensions. For instance, for professional fields dominated by females, the respective articles on average still feature almost two times more images of men; and in the mean, 83% of the mentioned names of professionals were male and only 17% female.

Includes members:
  Member "tie breaker using language models to quantify gender bias in sports journalism":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "mitigating gender bias in natural language processing literature review")
  Member "women through the glass ceiling gender asymmetries in wikipedia":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "knowledge graphs")
  Member "inferring gender from names on the web a comparative evaluation of gender detection methods":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "the effects of gender signals and performance in online product reviews")
  Member "it s a man s wikipedia assessing gender inequality in an online encyclopedia":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "the effects of gender signals and performance in online product reviews")
  Member "moodbar increasing new user retention in wikipedia through lightweight socialization":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "characterizing and forecasting user engagement with in app action graph a case study of snapchat")
  Member "first women second sex gender bias in wikipedia":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "towards understanding gender bias in relation extraction")
  Member "polyglot ner massive multilingual named entity recognition":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "entity projection via machine translation for cross lingual ner")

Question: Please tell me which class the source paper belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.CY(Computers and Society)