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 "stop tracking me bro differential tracking of user demographics on hyper partisan websites"):
  Abstract: Websites with hyper-partisan, left or right-leaning focus offer content that is typically biased towards the expectations of their target audience. Such content often polarizes users, who are repeatedly primed to specific (extreme) content, usually reflecting hard party lines on political and socio-economic topics. Though this polarization has been extensively studied with respect to content, it is still unknown how it associates with the online tracking experienced by browsing users, especially when they exhibit certain demographic characteristics. For example, it is unclear how such websites enable the ad-ecosystem to track users based on their gender or age. In this paper, we take a first step to shed light and measure such potential differences in tracking imposed on users when visiting specific party-line's websites. For this, we design and deploy a methodology to systematically probe such websites and measure differences in user tracking. This methodology allows us to create user personas with specific attributes like gender and age and automate their browsing behavior in a consistent and repeatable manner. Thus, we systematically study how personas are being tracked by these websites and their third parties, especially if they exhibit particular demographic properties. Overall, we test 9 personas on 556 hyper-partisan websites and find that right-leaning websites tend to track users more intensely than left-leaning, depending on user demographics, using both cookies and cookie synchronization methods and leading to more costly delivered ads.

Includes members:
  Member "characterising third party cookie usage in the eu after gdpr":
    also connected through other hyperedges:
      (none)
  Member "tweeting mps digital engagement between citizens and members of parliament in the uk":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a survey on computational politics")
  Member "cookie synchronization everything you always wanted to know but were afraid to ask":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "keeping out the masses understanding the popularity and implications of internet paywalls")
  Member "no more chasing waterfalls a measurement study of the header bidding ad ecosystem":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "keeping out the masses understanding the popularity and implications of internet paywalls")
  Member "tracing information flows between ad exchanges using retargeted ads":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "measuring abuse in web push advertising")
  Member "talon an automated framework for cross device tracking detection":
    also connected through other hyperedges:
      (none)
  Member "illuminating an ecosystem of partisan websites":
    also connected through other hyperedges:
      (none)
  Member "whotracks me shedding light on the opaque world of online tracking":
    also connected through other hyperedges:
      (none)

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)