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 "beyond trolling malware induced misperception attacks on polarized facebook discourse"):
  Abstract: Social media trolling is a powerful tactic to manipulate public opinion on issues with a high moral component. Troll farms, as evidenced in the past, created fabricated content to provoke or silence people to share their opinion on social media during the US presidential election in 2016. In this paper, we introduce an alternate way of provoking or silencing social media discourse by manipulating how users perceive authentic content. This manipulation is performed by man-in-the-middle malware that covertly rearranges the linguistic content of an authentic social media post and comments. We call this attack Malware-Induced Misperception (MIM) because the goal is to socially engineer spiral-of-silence conditions on social media by inducing perception. We conducted experimental tests in controlled settings (N = 311) where a malware covertly altered selected words in a Facebook post about the freedom of political expression on college campuses. The empirical results (1) confirm the previous findings about the presence of the spiral-of-silence effect on social media; and (2) demonstrate that inducing misperception is an effective tactic to silence or provoke targeted users on Facebook to express their opinion on a polarizing political issue.

Includes members:
  Member "analysis of strategy and spread of russia sponsored content in the us in 2017":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "network disruption maximizing disagreement and polarization in social networks")
  Member "me my echo chamber and i introspection on social media polarization":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "combating fake news a survey on identification and mitigation techniques")
  Member "hoaxy a platform for tracking online misinformation":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "topology comparison of twitter diffusion networks effectively reveals misleading information")

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.HC(Human-Computer Interaction)