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: "events and controversies influences of a shocking news event on information seeking"
  Abstract: It has been suggested that online search and retrieval contributes to the intellectual isolation of users within their preexisting ideologies, where people's prior views are strengthened and alternative viewpoints are infrequently encountered. This so-called "filter bubble" phenomenon has been called out as especially detrimental when it comes to dialog among people on controversial, emotionally charged topics, such as the labeling of genetically modified food, the right to bear arms, the death penalty, and online privacy. We seek to identify and study information-seeking behavior and access to alternative versus reinforcing viewpoints following shocking, emotional, and large-scale news events. We choose for a case study to analyze search and browsing on gun control/rights, a strongly polarizing topic for both citizens and leaders of the United States. We study the period of time preceding and following a mass shooting to understand how its occurrence, follow-on discussions, and debate may have been linked to changes in the patterns of searching and browsing. We employ information-theoretic measures to quantify the diversity of Web domains of interest to users and understand the browsing patterns of users. We use these measures to characterize the influence of news events on these web search and browsing patterns.

Connected through hyperedge HE-1 (induced by source paper "limiting the spread of fake news on social media platforms by evaluating users trustworthiness"):
  with members:
    - "leveraging the crowd to detect and reduce the spread of fake news and misinformation"
    - "tracking influential individuals in dynamic networks"
    - "computational fact checking from knowledge networks"
    - "tweetcred real time credibility assessment of content on twitter"
    - "processing social media messages in mass emergency a survey"
    - "using a model of social dynamics to predict popularity of news"

Connected through hyperedge HE-2 (induced by source paper "career transitions and trajectories a case study in computing"):
  with members:
    - "the misleading narrative of the canonical faculty productivity trajectory"
    - "representing higher order dependencies in networks"
    - "network structure inference a survey motivations methods and applications"
    - "pnp fast path ensemble method for movie design"
    - "pagerank beyond the web"

Connected through hyperedge HE-3 (induced by source paper "characterizing scalability issues in spreadsheet software using online forums"):
  with members:
    - "quantifying search bias investigating sources of bias for political searches in social media"
    - "towards a holistic integration of spreadsheets with databases a scalable storage engine for presentational data management"
    - "classification of spreadsheet errors"

Connected through hyperedge HE-4 (induced by source paper "on measuring bias in online information"):
  with members:
    - "quantifying search bias investigating sources of bias for political searches in social media"
    - "the tyranny of data the bright and dark sides of data driven decision making for social good"
    - "men also like shopping reducing gender bias amplification using corpus level constraints"
    - "algorithmic decision making and the cost of fairness"
    - "fa ir a fair top k ranking algorithm"
    - "equality of opportunity in supervised learning"
    - "measuring fairness in ranked outputs"
    - "a confidence based approach for balancing fairness and accuracy"

Connected through hyperedge HE-5 (induced by source paper "quantifying search bias investigating sources of bias for political searches in social media"):
  with members:
    - "is twitter a public sphere for online conflicts a cross ideological and cross hierarchical look"
    - "discrimination in online ad delivery"
    - "topical interests and the mitigation of search engine bias"

Connected through hyperedge HE-6 (induced by source paper "measuring online social bubbles"):
  with members:
    - "data portraits connecting people of opposing views"
    - "the role of social networks in information diffusion"
    - "partisan asymmetries in online political activity"
    - "topical interests and the mitigation of search engine bias"

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.IR(Information Retrieval)