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 "a framework for the computational linguistic analysis of dehumanization"):
  Abstract: Dehumanization is a pernicious psychological process that often leads to extreme intergroup bias, hate speech, and violence aimed at targeted social groups. Despite these serious consequences and the wealth of available data, dehumanization has not yet been computationally studied on a large scale. Drawing upon social psychology research, we create a computational linguistic framework for analyzing dehumanizing language by identifying linguistic correlates of salient components of dehumanization. We then apply this framework to analyze discussions of LGBTQ people in the New York Times from 1986 to 2015. Overall, we find increasingly humanizing descriptions of LGBTQ people over time. However, we find that the label homosexual has emerged to be much more strongly associated with dehumanizing attitudes than other labels, such as gay. Our proposed techniques highlight processes of linguistic variation and change in discourses surrounding marginalized groups. Furthermore, the ability to analyze dehumanizing language at a large scale has implications for automatically detecting and understanding media bias as well as abusive language online.

Includes members:
  Member "social bias frames reasoning about social and power implications of language":
    also connected through other hyperedges:
      (none)
  Member "mitigating gender bias in natural language processing literature review":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "don t judge an object by its context learning to overcome contextual bias")
  Member "talkdown a corpus for condescension detection in context":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "social bias frames reasoning about social and power implications of language")
  Member "automatically neutralizing subjective bias in text":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "towards detection of subjective bias using contextualized word embeddings")
  Member "black is to criminal as caucasian is to police detecting and removing multiclass bias in word embeddings":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "recast interactive auditing of automatic toxicity detection models")
  Member "contextual affective analysis a case study of people portrayals in online metoo stories":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "metoo on campus studying college sexual assault at scale using data reported on social media")
  Member "entity centric contextual affective analysis":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "measuring bias in contextualized word representations")
  Member "examining gender and race bias in two hundred sentiment analysis systems":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "multilingual twitter corpus and baselines for evaluating demographic bias in hate speech recognition")

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.CL(Computation and Language)