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 "can whatsapp counter misinformation by limiting message forwarding"):
  Abstract: WhatsApp is the most popular messaging app in the world. The closed nature of the app summed to the ease of transferring multimedia and sharing information to large-scale groups make WhatsApp unique among other platforms, where an anonymous encrypted message can be viral, reaching multiple users in a short period of time. The personal feeling and immediacy of messages directly delivered in the user's phone was extensively abused in WhatsApp to spread unfounded rumors and create misinformation campaigns. WhatsApp has been deploying contention measures to mitigate this problem, such as reducing the limit for forwarding a message to five. Despite the welcomed effort in counter the problem, there is no evidence so far on the real effectiveness of such restrictions. In this work, we propose a methodology to evaluate the effectiveness of such contention measures on the spreading of misinformation circulating on WhatsApp. We use an epidemiological model and real data gathered from WhatsApp in Brazil, India and Indonesia to assess the impact of limiting virality features in this kind of network. Our results suggest that the current efforts deployed by WhatsApp can offer delays on the information spread, but they are ineffective in blocking the propagation of misinformation campaigns in public groups.

Includes members:
  Member "on microtargeting socially divisive ads a case study of russia linked ad campaigns on facebook":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "beyond content analysis detecting targeted ads via distributed counting")
  Member "disinformation warfare understanding state sponsored trolls on twitter and their influence on the web":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "towards understanding the information ecosystem through the lens of multiple web communities")
  Member "whatsapp doc a first look at whatsapp public group data":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "the pushshift reddit dataset")
  Member "disinformation and social bot operations in the run up to the 2017 french presidential election":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "don t feed the troll detecting troll behavior via inverse reinforcement learning")
  Member "navigating the massive world of reddit using backbone networks to map user interests in social media":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "firsthand opiates abuse on social media monitoring geospatial patterns of interest through a digital cohort")
  Member "the role of social networks in information diffusion":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "deep learning approach on information diffusion in heterogeneous networks")
  Member "image labeling on a network using social network metadata for image classification":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "factorized graph representations for semi supervised learning from sparse data")

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)