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 "content removal as a moderation strategy compliance and other outcomes in the changemyview community"):
  Abstract: Moderators of online communities often employ comment deletion as a tool. We ask here whether, beyond the positive effects of shielding a community from undesirable content, does comment removal actually cause the behavior of the comment's author to improve? We examine this question in a particularly well-moderated community, the ChangeMyView subreddit.#R##N##R##N#The standard analytic approach of interrupted time-series analysis unfortunately cannot answer this question of causality because it fails to distinguish the effect of having made a non-compliant comment from the effect of being subjected to moderator removal of that comment. We therefore leverage a "delayed feedback" approach based on the observation that some users may remain active between the time when they posted the non-compliant comment and the time when that comment is deleted. Applying this approach to such users, we reveal the causal role of comment deletion in reducing immediate noncompliance rates, although we do not find evidence of it having a causal role in inducing other behavior improvements. Our work thus empirically demonstrates both the promise and some potential limits of content removal as a positive moderation strategy, and points to future directions for identifying causal effects from observational data.

Includes members:
  Member "trajectories of blocked community members redemption recidivism and departure":
    also connected through other hyperedges:
      (none)
  Member "trouble on the horizon forecasting the derailment of online conversations as they develop":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "wac a corpus of wikipedia conversations for online abuse detection")
  Member "mind your pov convergence of articles and editors towards wikipedia s neutrality norm":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "trajectories of blocked community members redemption recidivism and departure")
  Member "forecasting the presence and intensity of hostility on instagram using linguistic and social features":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "trouble on the horizon forecasting the derailment of online conversations as they develop")
  Member "reducing gender bias in abusive language detection":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "multilingual twitter corpus and baselines for evaluating demographic bias in hate speech recognition")
  Member "conversations gone awry detecting early signs of conversational failure":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "empirical analysis of multi task learning for reducing model bias in toxic comment detection")
  Member "a warm welcome matters the link between social feedback and weight loss in r loseit":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "are all successful communities alike characterizing and predicting the success of online communities")
  Member "measuring offensive speech in online political discourse":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "to act or react investigating proactive strategies for online community moderation")

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)