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                 [79]   Guerrouj L, Azad S, Rigby PC. The influence of App churn on App success and StackOverflow discussions. In: Proc. of the 22nd IEEE
                      Int’l Conf. on Software Analysis, Evolution, and Reengineering (SANER 2015). Montreal: IEEE, 2015. 321–330. [doi: 10.1109/SANER.
                      2015.7081842]
                 [80]   Jiang J, Miao M, Zhao LX, Zhang L. Prediction method for question deletion in software question and answer community. Ruan Jian
                      Xue Bao/Journal of Software, 2022, 33(5): 1699–1710 (in Chinese with English abstract). http://www.jos.org.cn/1000-9825/6556.htm
                      [doi: 10.13328/j.cnki.jos.006556]
                 [81]   Wang W, Godfrey MW. Detecting API usage obstacles: A study of iOS and Android developer questions. In: Proc. of the 10th Working
                      Conf. on Mining Software Repositories (MSR 2013). San Francisco: IEEE, 2013. 61–64. [doi: 10.1109/MSR.2013.6624006]
                 [82]   Azad S, Rigby PC, Guerrouj L. Generating API call rules from version history and Stack Overflow posts. ACM Trans. on Software
                      Engineering and Methodology (TOSEM), 2017, 25(4): 29. [doi: 10.1145/2990497]
                 [83]   Treude  C,  Robillard  MP.  Augmenting  API  documentation  with  insights  from  Stack  Overflow.  In:  Proc.  of  the  38th  Int’l  Conf.  on
                      Software Engineering (ICSE 2016). Austin: IEEE, 2016. 392–403. [doi: 10.1145/2884781.2884800]
                 [84]   Toma TR, Grewal B, Bezemer CP. Answering user questions about machine learning models through standardized model cards. In:
                      Proc.  of  the 47th  IEEE/ACM  Int’l  Conf.  on  Software  Engineering  (ICSE  2025).  Ottawa:  IEEE, 2025.  1488–1500.  [doi:  10.1109/
                      ICSE55347.2025.00066]
                 [85]   Black S, Harrison R, Baldwin M. A survey of social media use in software systems development. In: Proc. of the 1st Workshop on Web 2.0
                      for Software Engineering. Cape Town: ACM, 2010. 1–5. [doi: 10.1145/1809198.1809200]
                 [86]   Bougie  G,  Starke  J,  Storey  MA,  German  DM.  Towards  understanding  Twitter  use  in  software  engineering:  Preliminary  findings,
                      ongoing  challenges  and  future  questions.  In:  Proc.  of  the  2nd  Int’l  Workshop  on  Web  2.0  for  Software  Engineering.  Waikiki:
                      ACM, 2011. 31–36. [doi: 10.1145/1984701.1984707]
                 [87]   Singer L, Filho FF, Storey MA. Software engineering at the speed of light: How developers stay current using Twitter. In: Proc. of the
                      36th Int’l Conf. on Software Engineering (ICSE 2014). Hyderabad: ACM, 2014. 211–221. [doi: 10.1145/2568225.2568305]
                 [88]   Elsner M, Charniak E. Disentangling chat with local coherence models. In: Proc. of the 49th Annual Meeting of the Association for
                      Computational Linguistics: Human Language Technologies. Portland: ACL, 2011. 1179–1189.
                 [89]   Panichella S, Bavota G, Di Penta M, Canfora G, Antoniol G. How developers’ collaborations identified from different sources tell us
                      about code changes. In: Proc. of the 2014 IEEE Int’l Conf. on Software Maintenance and Evolution. Victoria: IEEE, 2014. 251–260.
                      [doi: 10.1109/ICSME.2014.47]
                 [90]   Yu LG, Ramaswamy S, Mishra A, Mishra D. Communications in global software development: An empirical study using GTK+ OSS
                      repository. In: On the Move to Meaningful Internet Systems: OTM 2011 Workshops. LNCS 7046, Berlin, Heidelberg: Springer, 2011.
                      218–227. [doi: 10.1007/978-3-642-25126-9_32]
                 [91]   Chatterjee P, Damevski K, Kraft NA, Pollock L. Software-related slack chats with disentangled conversations. In: Proc. of the 17th Int’l
                      Conf. on Mining Software Repositories (MSR 2020). Seoul: ACM, 2020. 588–592. [doi: 10.1145/3379597.3387493]
                 [92]   Wang D, Kondo M, Kamei Y, Kula RG, Ubayashi N. When conversations turn into work: A taxonomy of converted discussions and
                      issues in GitHub. Empirical Software Engineering, 2023, 28(6): 138. [doi: 10.1007/s10664-023-10366-z]
                 [93]   Lima M, Steinmacher I, Ford D, Liu E, Vorreuter G, Conte T, Gadelha B. Looking for related posts on GitHub discussions. PeerJ
                      Computer Science, 2023, 9: e1567. [doi: 10.7717/peerj-cs.1567]
                 [94]   Choi F, Bajpai T, Pratipati S, Chandrasekharan E. ConvEx: A visual conversation exploration system for Discord moderators. Proc. of
                      the ACM on Human-computer Interaction, 2023, 7(CSCW2): 262. [doi: 10.1145/3610053]
                 [95]   Licina E, Tchappi I, Schommer CR, Najjar A. Optimizing helpdesk ticketing systems with Discord community integration. In: Proc. of
                      the 12th Int’l Conf. on Human-agent Interaction. Swansea: ACM, 2024. 373–375. [doi: 10.1145/3687272.3690886]
                 [96]   Wath V, Deogade V, Vyawahare Y, Loya G, Chakole M, Dubey Y. Enhancing user interaction on Discord with multimodal generative
                      AI. In: Proc. of the 2nd Int’l Conf. on Emerging Trends in Engineering and Medical Sciences (ICETEMS 2024). Nagpur: IEEE, 2024.
                      845–849. [doi: 10.1109/ICETEMS64039.2024.10965067]
                 [97]   Kim D, Lee MJ, Ki W, Kim D. Exploring the role of user-driven communities in NFT valuation: A case study of Discord. Journal of
                      Multimedia Information System, 2022, 9(4): 299–314. [doi: 10.33851/JMIS.2022.9.4.299]
                 [98]   Yoon J, Zhang AX, Seering J. “It’s great because it’s ran by us”: Empowering teen volunteer Discord moderators to design healthy and
                      engaging  youth-led  online  communities.  Proc.  of  the  ACM  on  Human-computer  Interaction,  2025,  9(2):  CSCW121.  [doi:  10.1145/
                      3711114]
                 [99]   AlGhamdi R. Bridging learning gaps through Discord: Peer-to-peer learning in computer graphics education. Learning and Teaching in
                      Higher Education: Gulf Perspectives, 2025, 19(1): 49–65. [doi: 10.1108/LTHE-12-2024-0001]
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