human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "echo chambers in the age of misinformation"
  Abstract: The wide availability of user-provided content in online social media facilitates the aggregation of people around common interests, worldviews, and narratives. Despite the enthusiastic rhetoric on the part of some that this process generates "collective intelligence", the WWW also allows the rapid dissemination of unsubstantiated conspiracy theories that often elicite rapid, large, but naive social responses such as the recent case of Jade Helm 15 -- where a simple military exercise turned out to be perceived as the beginning of the civil war in the US. We study how Facebook users consume information related to two different kinds of narrative: scientific and conspiracy news. We find that although consumers of scientific and conspiracy stories present similar consumption patterns with respect to content, the sizes of the spreading cascades differ. Homogeneity appears to be the primary driver for the diffusion of contents, but each echo chamber has its own cascade dynamics. To mimic these dynamics, we introduce a data-driven percolation model on signed networks.

Connected through hyperedge HE-1 (induced by source paper "information credibility in the social web contexts approaches and open issues"):
  with members:
    - "on the inevitability of online echo chambers"
    - "combating fake news a survey on identification and mitigation techniques"
    - "automated fact checking task formulations methods and future directions"
    - "the spread of low credibility content by social bots"
    - "automated hate speech detection and the problem of offensive language"
    - "fake news detection on social media a data mining perspective"

Connected through hyperedge HE-2 (induced by source paper "cimtdetect a community infused matrix tensor coupled factorization based method for fake news detection"):
  with members:
    - "a stylometric inquiry into hyperpartisan and fake news"
    - "fake news detection on social media a data mining perspective"
    - "csi a hybrid deep model for fake news detection"
    - "some like it hoax automated fake news detection in social networks"

Connected through hyperedge HE-3 (induced by source paper "balancing information exposure in social networks"):
  with members:
    - "reducing controversy by connecting opposing views"
    - "measuring online social bubbles"
    - "diffusion in social networks with competing products"

Connected through hyperedge HE-4 (induced by source paper "reducing controversy by connecting opposing views"):
  with members:
    - "edge modification criteria for enhancing the communicability of digraphs"
    - "quantifying controversy in social media"
    - "controversy and sentiment in online news"
    - "updating and downdating techniques for optimizing network communicability"
    - "data portraits connecting people of opposing views"
    - "optimal aggregation algorithms for middleware"

Connected through hyperedge HE-5 (induced by source paper "debunking in a world of tribes"):
  with members:
    - "multilingual twitter sentiment classification the role of human annotators"
    - "trend of narratives in the age of misinformation"
    - "science vs conspiracy collective narratives in the age of misinformation"
    - "emotional dynamics in the age of misinformation"
    - "computational fact checking from knowledge networks"
    - "knowledge based trust estimating the trustworthiness of web sources"
    - "collective attention in the age of mis information"
    - "tweetcred real time credibility assessment of content on twitter"

Question: Please tell me which class the center node 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)