skip to main content
10.1145/3368640.3368664acmotherconferencesArticle/Chapter ViewAbstractPublication PagespciConference Proceedingsconference-collections
short-paper

Embedding a chatbot in a news article: design and implementation

Published:28 November 2019Publication History

ABSTRACT

Since the information communication conversion took place during the two last decades of the twentieth century, significant changes occurred in the media industry. The journalistic narrative has been enriched with multimedia and interactive features, but the basic media of communication - that is text, photos and videos - remain constant. The introduction of chatbots in the last 10 years has provided new possibilities for transforming the journalistic narrative by utilizing interactive dialogue that can take place even in the form of nature language. This paper discusses the usage and the actual implementation of chatbot in a news article. The outcome of the study includes a working protype of a news article that embeds a chatbot which provides an additional narrative.

References

  1. L.P. Spyridou, M.Matsiola., A.Veglis, G.Kalliris., and C.Dimoulas (2013). Journalism in a state of flux: Journalists as agents of technology innovation and emerging news practices. International Communication Gazette, 75(1), 76--98. Google ScholarGoogle ScholarCross RefCross Ref
  2. A. Veglis (2012). Journalism and Cross-Media Publishing: The Case of Greece. In The Handbook of Global Online Journalism (eds E. Siapera and A. Veglis). London: Willey - Blackwell. Google ScholarGoogle ScholarCross RefCross Ref
  3. A.Bull (2010). Multimedia Journalism: A Practical Guide. London and New York: Routledge.Google ScholarGoogle Scholar
  4. J.Gray, L.Chambers, and L.Bounegru,(2012), The Data Journalism Handbook. At: http://datajournalismhandbook.org/Google ScholarGoogle Scholar
  5. A. Veglis, and C.Bratsas (2017). Reporters in the age of Data Journalism, Journal of Applied Journalism & Media Studies, 6 (2), 225--244.Google ScholarGoogle ScholarCross RefCross Ref
  6. E.Siapera, and A.Veglis (2012). The Handbook of Global Online Journalism. London: Wiley-Blackwell.Google ScholarGoogle Scholar
  7. N. Thurman (2019). Computational Journalism. In Wahl-Jorgensen, K. and Hanitzsch, Th. (eds.). The Handbook of Journalism Studies, Second Edition. New York: Routledge.Google ScholarGoogle Scholar
  8. R. Dale (2016). The Return of the Chatbots. Natural Language Engineering, 22(5), 811--817.Google ScholarGoogle ScholarCross RefCross Ref
  9. A. Shevat (2017). Designing Bots: Creating Conversational Experiences. Sebastopol, CA: O'Reilly Media, Inc.Google ScholarGoogle Scholar
  10. A. Veglis and T.A. Maniou (2019). Chatbots on the rise: A new narrative in Journalism, Studies in Media and Communication Journal, 7 (1), 1--6. . Google ScholarGoogle ScholarCross RefCross Ref
  11. S. Janarthanam (2017). Hands-On Chatbots and Conversational UI Development: Build chatbots and voice user interfaces with Chatfuel, Dialogflow, Microsoft Bot Framework, Twilio, and Alexa Skills. Birmingham: Packt Publishing Ltd.Google ScholarGoogle Scholar
  12. P. Gentsch (2019). Conversational AI: How (Chat)bots will Reshape the Digital Experience. In Gentsch, P. (eds.) AI in Marketing, Sales and Service. Frankfurt: Palgrave Macmillan, pp.81--125.Google ScholarGoogle Scholar
  13. S. Russell and P. Norvig (2009). Artificial Intelligence: A Modern Approach, 3rd edition. New York: Prentice Hallhttps. Google ScholarGoogle ScholarCross RefCross Ref
  14. A. Androutsopoulou, N. Karacapilidis, E. Loukis and Y. Charalabidis (2019). Transforming the communication between citizens and government through AI-guided chatbots. Government Information Quarterly, 36(2), 358--367. Google ScholarGoogle ScholarCross RefCross Ref
  15. C. Lebeuf, M.A. Storey and A. Zagalsky (2017). How software developers mitigate collaboration friction with chatbots. Paper presented at the Talking with Conversational Agents in Collaborative Action Workshop, 2017 Conference Computer-Supported Cooperative Work and Social Computing (CSCW 17).Google ScholarGoogle Scholar
  16. H. Borisov (2018). Anatomy of a Chatbot---How Much Does it Cost to Build One?. Progress. Retrieved from: https://www.progress.com/blogs/anatomy-of-a-chatbot-how-much-does-it-cost-to-build-oneGoogle ScholarGoogle Scholar
  17. W. Yu, W. Wei, X. Chen, L. Zhoujun and Z. Ming (2017). Sequential matching network: A new architecture for multi-turn response selection in retrieval-based chatbots. In ACL, 496--505.Google ScholarGoogle Scholar
  18. S. Kojouharov (2016). Ultimate Guide to Leveraging NLP & Machine Learning for your Chatbot. Chatbotslife. Retrieved from https://chatbotslife.com/ultimate-guide-to-leveraging-nlp-machine-learning-for-you-chatbot-531ff2dd870cGoogle ScholarGoogle Scholar
  19. K. Ramesh, S. Ravishankaran, A. Joshi and K. Chandrasekaran (2017). A Survey of Design Techniques for Conversational Agents. In Kaushik S., Gupta D., Kharb L. & Chahal, D. (eds). Information, Communication and Computing Technology, ICICCT 2017, Communications in Computer and Information Science, Vol 750. Singapore: Springer.Google ScholarGoogle Scholar
  20. P.B. Brandtzaeg and A. Følstad (2017). Why people use chatbots. Proceedings of the 4th International Conference on Internet Science, 22--24 November, Thessaloniki, Greece.Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. E.M. Rogers (1986). Communication technology: The new media in society. N. York: Simon and Schuster.Google ScholarGoogle Scholar
  22. S. Lewis, A. Sanders and C. Carmody (2018). Libel by Algorithm? Automated Journalism and the Threat of Legal Liability. Journalism & Mass Communication Quarterly, 1--24. Doi: 101177/1077699018755983.Google ScholarGoogle Scholar
  23. T.A. Maniou and A. Veglis (2016). Selfie Journalism: Current Practices in Digital Media. Studies in Media and Communication, 4 (1), 111--118. Google ScholarGoogle ScholarCross RefCross Ref
  24. T.A. Maniou, K. Panagiotidis and A. Veglis (2017). The Politicization of Selfie Journalism: An empirical study to Parliamentary Elections. International Journal of E-Politics, 8 (2), 1--16. Google ScholarGoogle ScholarCross RefCross Ref
  25. F. Marconi and A. Siegman (2017). A day in the life of a journalist in 2027: Reporting meets AI. Columbia Journalism Review. Accessed December 9, 2018. Retrieved from: https://www.cjr.org/innovations/artificial-intelligence-journalism.phpGoogle ScholarGoogle Scholar
  26. S.C. Lewis, A.K. Sanders and C. Carmody (2018). Libel by Algorithm? Automated Journalism and the Threat of Legal Liability. Journalism & Mass Communication Quarterly, 1--24. Doi: 101177/1077699018755983.Google ScholarGoogle Scholar
  27. K.N. Dörr and K. Hollnbuchner (2017). Ethical Challenges of Algorithmic Journalism. Digital Journalism, 5 (4), 404--419. Google ScholarGoogle ScholarCross RefCross Ref
  28. A. Veglis and T.A. Maniou (2018). The Mediated data model of Communication Flow: From Data Journalism to Big Data. KOME - An International Journal of pure Communication Inquiry, 6(2), 32--43. Google ScholarGoogle ScholarCross RefCross Ref
  29. J. Walker (2018). Chatbot Comparison - Facebook, Microsoft, Amazon, and Google. EMERG. Accessed July, 20, 2019 at: https://emerj.com/ai-sector-overviews/chatbot-comparison-facebook-microsoft-amazon-google/Google ScholarGoogle Scholar
  30. A.J. Steinke and V. Belair-Gagnon (2019). Mobile Applications and Journalistic Work. Oxford Research Encyclopedia of Communication. USA: Oxford University Press. Google ScholarGoogle ScholarCross RefCross Ref
  31. S. Harlow (2012). Newspapers increasingly eliminating copy editors, shifting copy editing duties to reporters [Blog post]. Accessed November 28, 2018 Retrieved from: https://knightcenter.utexas.edu/blog/00-10287-newspapers-increasingly-eliminating-copy-editors-shifting-copy-editingduties-reporterGoogle ScholarGoogle Scholar
  32. S. McKinney (2018). Tech & Check Alerts aim to ease the workload of fact-checkers. Duke Reporters Lab. Accessed July, 19, 2019 at: athttps://reporterslab.org/tech-and-check-alerts-automated-fact-checking/.Google ScholarGoogle Scholar
  33. J. Kolodzy (2012). Practicing convergence journalism: An introduction to cross-media storytelling. London: Routledge.Google ScholarGoogle Scholar
  34. James Bourne (2018). WordPress powers three in 10 sites on the web, W3Techs finds, DEVELOPER, https://www.developer-tech.com/news/2018/mar/06/wordpress-powers-three-10-sites-web-w3techs-finds/Google ScholarGoogle Scholar
  35. N.Diakopoulos (2019). Automating the News: How Algorithms Are Rewriting the Media. USA: Harvard University Press.Google ScholarGoogle Scholar
  36. J.Rhianne & J. Bronwyn (2019). Atomising the News: The (In)Flexibility of Structured Journalism, Digital Journalism, 1--23. Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. Embedding a chatbot in a news article: design and implementation

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Other conferences
      PCI '19: Proceedings of the 23rd Pan-Hellenic Conference on Informatics
      November 2019
      165 pages
      ISBN:9781450372923
      DOI:10.1145/3368640

      Copyright © 2019 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 28 November 2019

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • short-paper

      Acceptance Rates

      PCI '19 Paper Acceptance Rate18of35submissions,51%Overall Acceptance Rate190of390submissions,49%

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader