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 "another brick in the paywall the popularity and privacy implications of paywalls"):
  Abstract: Funding the production and distribution of quality online content is an open problem for content producers. Selling subscriptions to content, once considered passe, has been growing in popularity recently. Decreasing revenues from digital advertising, along with increasing ad fraud, have driven publishers to "lock" their content behind paywalls, thus denying access to non-subscribed users. How much do we know about the technology that may obliterate what we know as free web? What is its prevalence? How does it work? Is it better than ads when it comes to user privacy? How well is the premium content of publishers protected? In this study, we aim to address all the above by building a paywall detection mechanism and performing the first full-scale analysis of real-world paywall systems. Our results show that the prevalence of paywalls across the top sites in Great Britain reach 4.2%, in Australia 4.1%, in France 3.6% and globally 7.6%. We find that paywall use is especially pronounced among news sites, and that 33.4% of sites in the Alexa 1k ranking for global news sites have adopted paywalls. Further, we see a remarkable 25% of paywalled sites outsourcing their paywall functionality (including user tracking and access control enforcement) to third-parties. Putting aside the significant privacy concerns, these paywall deployments can be easily circumvented, and are thus mostly unable to protect publisher content.

Includes members:
  Member "cookie synchronization everything you always wanted to know but were afraid to ask":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "stop tracking me bro differential tracking of user demographics on hyper partisan websites")
  Member "no more chasing waterfalls a measurement study of the header bidding ad ecosystem":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "stop tracking me bro differential tracking of user demographics on hyper partisan websites")
  Member "speedreader reader mode made fast and private":
    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 "who filters the filters understanding the growth usefulness and efficiency of crowdsourced ad blocking":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "measuring abuse in web push advertising")
  Member "truth in web mining measuring the profitability and cost of cryptominers as a web monetization model":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "keeping out the masses understanding the popularity and implications of internet paywalls")
  Member "tracking the trackers towards understanding the mobile advertising and tracking ecosystem":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "keeping out the masses understanding the popularity and implications of internet paywalls")

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)