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A Short Survey on Chatbot Technology: Failure in Raising the State of the Art

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Distributed Computing and Artificial Intelligence, 16th International Conference (DCAI 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1003 ))

Abstract

This short survey aimed initially to explore the existing state of the art for the application of chatbot on fighting (and not on spreading) of fake-news. It was then realized that there is not common to use chatbots with this “virtuous” purpose. Therefore, after two surveys and a meta-analysis, the topic had to be withdrawn since there were no survey results to discuss besides the absence of results. The survey result raised then a need to realize how chatbots are being currently used, designed and their primary sources. The result was once again confusing since, on the sample: (1) no significant concentration of usage could be found; (2) no widely adopted design strategies were identified, and (3) no significant crosscutting references to be considered as primary sources. Certainly, this can be due to a biased sample but may also be a symptom of a methodological issue on the chatbot researches. If the second possibility is proved to be right it means that chatbot research is still on a pre-paradigm stage according to Kuhn’s conception. For this paper, there were performed 4 surveys with a total sample of 50 papers mostly from the last 3 years.

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References

  1. Abdul-Kader, S.A., Woods, J.: Survey on chatbot design techniques in speech conversation systems. Int. J. Adv. Comput. Sci. Appl. 6, 7 (2015)

    Google Scholar 

  2. Baldi, V., Gala, A.: A lógica crítica de c. s. peirce como processo de apoio na identificação de uma fake news. In: III International Conference Communicating Science in a Changing World (Universidade da Beira Interior - Covilhã, Portugal) (2018)

    Google Scholar 

  3. Chinnakotla, M.K., Agrawal, P.: Lessons from building a large-scale commercial IR-based chatbot for an emerging market. In: The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, USASIGIR 2018, pp. 1361–1362. ACM, New York (2018)

    Google Scholar 

  4. Daniel, F., Matera, M., Zaccaria, V., Dell’Orto, A.: Toward truly personal chatbots: on the development of custom conversational assistants. In Proceedings of the 1st International Workshop on Software Engineering for Cognitive Services, SE4COG 2018, pp. 31–36. ACM, New York (2018)

    Google Scholar 

  5. Dignum, F., Bex, F.: Creating dialogues using argumentation and social practices. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). LNCS, vol. 10750, pp. 223–235 (2018)

    Chapter  Google Scholar 

  6. Ferrara, E., Varol, O., Davis, C., et al.: The rise of social bots. CACM 59, 7 (2016)

    Article  Google Scholar 

  7. Freitas, E., Bhintade, M.: Building Bots with Node.Js. Packt Pub, Birmingham (2017)

    Google Scholar 

  8. Friggeri, A., Adamic, L.A., Eckles, D., Cheng, J.: Rumor cascades. In: ICWSM (2014)

    Google Scholar 

  9. Hannak, A., Margolin, D., Keegan, B., Weber, I.: Get back! You don’t know me like that: the social mediation of fact checking interventions in twitter conversations. In: ICWSM (2014)

    Google Scholar 

  10. Janarthanam, S.: Hands-On Chatbots and Conversational UI Development: Build Chatbots and Voice User Interfaces with Chatfuel, Dialogflow, Microsoft Bot Framework, Twilio, and Alexa Skills. Packt Publishing, Birmingham (2017)

    Google Scholar 

  11. Jurafsky, D., Martin, J., Norvig, P., Russell, S.: Speech and Language Processing. Pearson, London (2014)

    Google Scholar 

  12. Kitchenham, B., Brereton, P.: A systematic review of systematic review process research in software engineering. Inf. Softw. Technol. 55(12), 2049–2075 (2013)

    Article  Google Scholar 

  13. Klopfenstein, L.C., Delpriori, S., Malatini, S., Bogliolo, A.: The rise of bots: a survey of conversational interfaces, patterns, and paradigms. In: Proceedings of the 2017 Conference on Designing Interactive Systems, DIS 2017, pp. 555–565. ACM, New York (2017)

    Google Scholar 

  14. Kopp, C., Korb, K.B., Mills, B.I.: Information-theoretic models of deception: modelling cooperation and diffusion in populations exposed to “fake news”. PloS ONE 13, 11 (2018)

    Article  Google Scholar 

  15. Kuhn, T.: The Structure of Scientific Revolutions. Foundations of the Unity of Science, vol. 2, no. 2. University of Chicago Press, Chicago (1962)

    Google Scholar 

  16. Li, T.J.-J., Riva, O.: Kite: building conversational bots from mobile apps. In: Proceedings of the 16th Annual International Conference on Mobile Systems, Applications, and Services, MobiSys 2018, pp. 96–109. ACM, New York (2018)

    Google Scholar 

  17. Marcondes, F.S., Almeida, J.J., Novais, P.: Chatbot Theory: A Naïve and Elementary Theory for Dialogue Management. LNCS. Springer, Heidelberg (2018)

    Book  Google Scholar 

  18. Papaioannou, I., Lemon, O.: Combining chat and task-based multimodal dialogue for more engaging HRI: a scalable method using reinforcement learning. In: Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction, HRI 2017. ACM, New York (2017)

    Google Scholar 

  19. Parnas, D.: The real risks of artificial intelligence. Commun. ACM 60, 10 (2017)

    Article  Google Scholar 

  20. Pereira, J.: Leveraging chatbots to improve self-guided learning through conversational quizzes. In: Proceedings of the Fourth International Conference on Technological Ecosystems for Enhancing Multiculturality, TEEM 2016, pp. 911–918. ACM, New York (2016)

    Google Scholar 

  21. Peters, M., Rider, S., Hyvönen, M., Besley, T.: Post-Truth, Fake News: Viral Modernity & Higher Education. Springer, Singapore (2018)

    Book  Google Scholar 

  22. Ramesh, K., Ravishankaran, S., Joshi, A., Chandrasekaran, K.: A survey of design techniques for conversational agents. In: International Conference on Information, Communication and Computing Technology. Springer, Heidelberg (2017)

    Google Scholar 

  23. Shao, C., Hui, P., Wang, L., Jiang, X., Flammini, A., Menczer, F., Ciampaglia, G.: Anatomy of an online misinformation network. PLoS ONE 13, 4 (2018)

    Google Scholar 

  24. Stefanidi, E., Korozi, M., Leonidis, A., Antona, M.: Programming intelligent environments in natural language: an extensible interactive approach. In: Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference, PETRA 2018, pp. 50–57. ACM, New York (2018)

    Google Scholar 

  25. Subramaniam, S., Aggarwal, P., Dasgupta, G.B., Paradkar, A.: Cobots - a cognitive multi-bot conversational framework for technical support. In: Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, AAMAS 2018, pp. 597–604. International Foundation for Autonomous Agents and Multiagent Systems, Richland (2018)

    Google Scholar 

  26. Thakar, B., Parekh, C.: Advance persistent threat: botnet. In: Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies, ICTCS 2016. ACM, New York (2016)

    Google Scholar 

  27. Vasconcelos, M., Candello, H., Pinhanez, C., dos Santos, T.: Bottester: testing conversational systems with simulated users. In: Proceedings of the XVI Brazilian Symposium on Human Factors in Computing Systems, IHC 2017, pp. 73:1–73:4. ACM, New York (2017)

    Google Scholar 

  28. Vo, N., Lee, K.: The rise of guardians: fact-checking URL recommendation to combat fake news. In: The 41st International ACM SIGIR Conference on Research, SIGIR 2018, vol. 38, pp. 275–284. ACM, New York (2018)

    Google Scholar 

  29. Wang, P., Angarita, R., Renna, I.: Is this the era of misinformation yet: combining social bots and fake news to deceive the masses. In: Companion Proceedings of the The Web Conference 2018, WWW 2018, pp. 1557–1561. International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva (2018)

    Google Scholar 

  30. Yan, Z., Duan, N., Chen, P., Zhou, M., Zhou, J., Li, Z.: Building task-oriented dialogue systems for online shopping. In: Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, AAAI 2017. AAAI Press (2017)

    Google Scholar 

  31. Yuan, M.: Building Intelligent, Cross-platform, Messaging Bots, 1st edn. Addison-Wesley Professional, Boston (2018)

    Google Scholar 

  32. Zamanirad, S., Benatallah, B., Chai Barukh, M., Casati, F., Rodriguez, C.: Programming bots by synthesizing natural language expressions into API invocations. In: Proceedings of the 32nd IEEE/ACM International Conference on Automated Software Engineering, ASE 2017. IEEE Press (2017)

    Google Scholar 

  33. Zhou, X., Zafarani, R.: Fake news: a survey of research, detection methods, and opportunities. arXiv preprint arXiv:1812.00315 (2018)

  34. Zubiaga, A., Aker, A., Bontcheva, K., Liakata, M., Procter, R.: Detection and resolution of rumours in social media: a survey. ACM Comput. Surv. (CSUR) 51(2), 32 (2018)

    Article  Google Scholar 

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Acknowledgments

This work has been supported by FCT – Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2019.

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Authors and Affiliations

  1. Centro ALGORITMI, University of Minho, Braga, Portugal

    Francisco Supino Marcondes, José João Almeida & Paulo Novais

Authors
  1. Francisco Supino Marcondes
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  2. José João Almeida
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  3. Paulo Novais
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Corresponding author

Correspondence to Francisco Supino Marcondes .

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Editors and Affiliations

  1. Department of Computer Science and Artificial Intelligence, University of Granada, ETS de Ingenierias Informática y de Telecomunicación, Granada, Spain

    Francisco Herrera

  2. Department of Engineering, Osaka Institute of Technology, Osaka , Japan

    Kenji Matsui

  3. Department of Computer Science, University of Salamanca, Salamanca, Spain

    Sara Rodríguez-González

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Marcondes, F.S., Almeida, J.J., Novais, P. (2020). A Short Survey on Chatbot Technology: Failure in Raising the State of the Art. In: Herrera, F., Matsui , K., Rodríguez-González, S. (eds) Distributed Computing and Artificial Intelligence, 16th International Conference. DCAI 2019. Advances in Intelligent Systems and Computing, vol 1003 . Springer, Cham. https://doi.org/10.1007/978-3-030-23887-2_4

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