Infobotting COVID-19: A case study of Ask Nameesa in Egypt | Intellect Skip to content
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Media and the Coronavirus Pandemic in Africa (Part Two)
  • ISSN: 2040-199X
  • E-ISSN: 1751-7974

Abstract

With the outbreak of the COVID-19 pandemic, misinformation and unscientific interpretations flooded the internet. Seeking credible information in Egypt was paramount at the time. An answer to this quest was ‘Ask Nameesa’, an award-winning Egyptian-focused chatbot that utilizes Facebook Messenger to communicate with social media users in an individualized response engagement. It relies on information validated by WHO and the Egyptian Ministry of Health. This article examines the structure of Ask Nameesa as an example of infobots and studies the interactive engagement it offers users to provide health information. The study analyses data gathered by interviewing the founder and CEO of DXwand, the company that developed Ask Nameesa as well as content analysis of conversations with Ask Nameesa to assess its user engagement. The study aims at understanding the potential Ask Nameesa has in providing information literacy and tackling public demand for information.

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/content/journals/10.1386/jams_00059_1
2021-09-01
2024-05-01
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References

  1. Bāb al Khalq ( 2020;), ‘ Egypt: Al-Nahar television network. ’, YouTube, 17 April, https://www.youtube.com/watch?v=otbSm2wdYGk&feature=youtu.be. Accessed 5 June 2020.
    [Google Scholar]
  2. Bakry, H. M., and Waly, E. H.. ( 2020;), ‘ Perception and practice of social distancing among Egyptians in COVID-19 pandemic. ’, Journal of Infection in Developing Countries, 14:8, pp. 81722.
    [Google Scholar]
  3. Berlinger, J.. ( 2020;), ‘ Coronavirus has now spread to every continent except Antarctica. ’, CNN, 26 February, https://edition.cnn.com/2020/02/25/asia/novel-coronavirus-covid-update-us-soldier-intl-hnk/index.html. Accessed 10 November 2020.
    [Google Scholar]
  4. Botme ( 2020;), ‘ Corona bot. ’, Facebook, 13 March, https://www.facebook.com/coronaboteg/. Accessed 20 November 2020.
    [Google Scholar]
  5. Brennen, J. S.,, Simon, F.,, Howard, P. N., and Nielsen, R. K.. ( 2020), ‘Types, sources, and claims of COVID-19 misinformation’, Reuters Institute for the Study of Journalism;, 7 April, https://reutersinstitute.politics.ox.ac.uk/types-sources-and-claims-covid-19-misinformation. Accessed 15 November 2020.
  6. Cairoscene Team ( 2020;), ‘ “Ask Nameesa” is the new Egyptian chatbot with all the answers to your corona questions. ’, Cairo Scene, 23 March, https://www.cairoscene.com/Buzz/Ask-Nameesa-Is-The-New-Egyptian-Chatbot-With-All-the-Answers-to-Your-Corona-Questions. Accessed 5 June 2020.
    [Google Scholar]
  7. CARE ( n.d.;), ‘ Home page. ’, Egyptian Ministry of Health and Population, https://www.care.gov.eg/. Accessed 16 June 2020.
    [Google Scholar]
  8. Chou, W. Y. S.,, Oh, A., and Klein, W. M.. ( 2018;), ‘ Addressing health-related misinformation on social media. ’, JAMA – Journal of the American Medical Association, 320:23, pp. 241718.
    [Google Scholar]
  9. Civic Tech ( 2020;), ‘ Ask Nameesa. ’, Civic Tech Field Guide, 14 September, https://civictech.guide/listing/ask-nameesa/. Accessed 21 November 2020.
    [Google Scholar]
  10. Clement, J.. ( 2020a;), ‘ Leading countries based on Facebook audience size as of October 2020. ’, Statista, 24 November, https://www.statista.com/statistics/268136/top-15-countries-based-on-number-of-facebook-users/. Accessed 25 November 2020.
    [Google Scholar]
  11. Clement, J.. ( 2020b;), ‘ Countries with the highest growth of WhatsApp downloads from the Apple App Store as of 3rd quarter 2020. ’, Statista, 4 November, https://www.statista.com/statistics/307143/growth-of-whatsapp-usage-worldwide/. Accessed 25 November 2020.
    [Google Scholar]
  12. Clement, J.. ( 2020c;), ‘ Most popular social networks worldwide as of July 2020, ranked by number of active users. ’, Statista, 21 August, https://www.statista.com/statistics/272014/global-social-networks-ranked-by-number-of-users/. Accessed 30 August 2020.
    [Google Scholar]
  13. Coniam, D.. ( 2014;), ‘ The linguistic accuracy of chatbots: Usability from an ESL perspective. ’, Text & Talk, 34:5, pp. 54567.
    [Google Scholar]
  14. COVID Global Hackathon ( 2020;), ‘ 18,000+ innovators from 175 countries created 1,560 projects to #BUILDFORCOVID19. ’, https://covidglobalhackathon.com/. Accessed 2 June 2020.
  15. Cuan-Baltazar, J. Y.,, Muñoz-Perez, M. J.,, Robledo-Vega, C.,, Pérez-Zepeda, M. F., and Soto-Vega, E.. ( 2020;), ‘ Misinformation of COVID-19 on the internet: Infodemiology study. ’, JMIR Public Health and Surveillance, 6:2, https://publichealth.jmir.org/2020/2/e18444/. Accessed 12 November 2020.
    [Google Scholar]
  16. Daly, M.. ( 2020;), ‘ Ask Nameesa: The AI solution answering all COVID-19 questions in Arabic slang. ’, Al Press, 9 September, http://al-press.com/index.php/en/opinion-press/40599-ask-nameesa-the-ai-solution-answering-all-covid-19-questions-in-arabic-slang. Accessed 18 November 2020.
    [Google Scholar]
  17. DXwand ( 2018;), ‘ Home page. ’, https://dxwand.com/. Accessed 8 June 2020.
  18. DXwand ( 2020;), ‘ Ask Nameesa. ’, Facebook, 8 March, https://www.facebook.com/asknameesa. Accessed 20 June 2020.
    [Google Scholar]
  19. Gilbert, M.,, Pullano, G.,, Pinotti, F.,, Valdano, E.,, Poletto, C.,, Boëlle, P.,, D’Ortenzio, E.,, Yazdanpanah, Y.,, Eholie, S. P.,, Altmann, M.,, Gutierrez, B.,, Kraemer, M. U. G., and Colizza, V.. ( 2020;), ‘ Preparedness and vulnerability of African countries against importations of COVID-19: A modelling study. ’, The Lancet, 395:10227, pp. 87177.
    [Google Scholar]
  20. Goh, O. S.,, Ardil, C.,, Wong, W., and Fung, C. C.. ( 2007;), ‘ A black-box approach for response quality evaluation of conversational agent systems. ’, International Journal of Computational Intelligence, 3:3, pp. 195203.
    [Google Scholar]
  21. Hadhā al Ṣabāḥ ( 2020;), ‘ Egypt: Nile News. ’, YouTube, 14 April, https://www.youtube.com/watch?v=eoa2EYHmxFQ. Accessed 5 June 2020.
    [Google Scholar]
  22. Hamed, E.. ( 2020;), ‘ Ask Nameesa. ’, Devpost, 30 March, https://devpost.com/software/ask-nameesa. Accessed 25 January 2021.
    [Google Scholar]
  23. Kaye, A.. ( 1994;), ‘ Formal vs. informal in Arabic: Diglossia, triglossia, tetraglossia, etc., polyglossia – multiglossia viewed as a continuum. ’, Zeitschrift Für Arabische Linguistik, 27:1994, pp. 4766.
    [Google Scholar]
  24. Kemp, S.. ( 2020;), ‘ Digital 2020: Egypt. ’, Datareportal, 17 February, https://datareportal.com/reports/digital-2020-egypt#:~:text=There%20were%2042.00%20million%20social,at%2041%25%20in%20January%202020. Accessed 25 November 2020.
    [Google Scholar]
  25. Khattab, N. M.,, Vermund, S. H., and Hu, Y.. ( 2020;), ‘ How coronavirus disease 2019 entered Africa and the Middle East: A case study from Egypt. ’, Transactions of the Royal Society of Tropical Medicine and Hygiene, 114:10, pp. 71517.
    [Google Scholar]
  26. Kuligowska, K.. ( 2015;), ‘ Commercial chatbot: Performance evaluation, usability metrics and quality standards of embodied conversational agents. ’, Professionals Center for Business Research, 2:2015, pp. 116.
    [Google Scholar]
  27. Li, H. O.,, Bailey, A.,, Huynh, D., and Chan, J.. ( 2020;), ‘ YouTube as a source of information on COVID-19: A pandemic of misinformation?. ’, BMJ Global Health, 5:5, 10.1136/bmjgh-2020-002604. Accessed 25 November 2020.
    [Google Scholar]
  28. Media Center ( 2020;), ‘ Answering hard of hearing inquiries on COVID-19 through “Wasel” app. ’, Ministry of Communications and Information Technology, 15 April, https://www.mcit.gov.eg/en/Media_Center/Press_Room/Press_Releases/45681. Accessed 18 November 2020.
    [Google Scholar]
  29. Meira, M. O., and Canuto, A. M. P.. ( 2015;), ‘ Evaluation of emotional agents’ architectures: An approach based on quality metrics and the influence of emotions on users. ’, in Proceedings of the World Congress on Engineering, London, UK, 1–3 July, London:: WCE;, pp. 14350, http://www.iaeng.org/publication/WCE2015/WCE2015_pp143-150.pdf. Accessed 17 November 2020.
    [Google Scholar]
  30. MLA ( n.d.;), ‘ Health information literacy: Definitions. ’, Medical Library Association, http://www.mlanet.org/resources/healthlit/define.html. Accessed 10 November 2020.
    [Google Scholar]
  31. Moyo, H.. ( 2020;), ‘ Lesotho becomes last African nation to confirm a virus case. ’, Associated Press, 13 May, https://apnews.com/article/644cfc43af4c2cc4a0d5120a9eb800bc. Accessed 17 November 2020.
    [Google Scholar]
  32. NTRA ( 2020;), ‘ An increase in the indicators of telecom services usage during March and April. ’, National Telecom Regulatory Authority, 20 April, https://tra.gov.eg/en/media-center/press-releases/Pages/An-Increase-in-the-Indicators-of-Telecom-Services-Usage-During-March-and-April.aspx. Accessed 25 November 2020.
    [Google Scholar]
  33. Radziwill, N. M., and Benton, M. C.. ( 2017;), ‘ Evaluating quality of chatbots and intelligent conversational agents. ’, ArXiv, https://arxiv.org/abs/1704.04579. Accessed 5 August 2021.
  34. Saba, A. I., and Elsheikh, A. H.. ( 2020;), ‘ Forecasting the prevalence of COVID-19 outbreak in Egypt using nonlinear autoregressive artificial neural networks. ’, Process Safety & Environmental Protection, 141:2020, pp. 18.
    [Google Scholar]
  35. Sauer, L. M.. ( 2020;), ‘ What is coronavirus?. ’, Johns Hopkins Medicine, 19 May, https://www.hopkinsmedicine.org/health/conditions-and-diseases/coronavirus. Accessed 25 August 2020.
    [Google Scholar]
  36. Shaalan, K.,, Abo Bakr, H., and Ziedan, I.. ( 2007;), ‘ Transferring Egyptian colloquial into modern standard Arabic. ’, in Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP’07), 27–29 September, Borovets, Bulgaria, pp. 52529.
    [Google Scholar]
  37. Soltan, E. M.,, El-Zoghby, S. M., and Salama, H. M.. ( 2020;), ‘ Knowledge, risk perception, and preventive behaviors related to COVID-19 pandemic among undergraduate medical students in Egypt. ’, SN Comprehensive Clinical Medicine, 2:2020, pp. 256875.
    [Google Scholar]
  38. Stadlbauer, S.. ( 2010;), ‘ Language ideologies in the Arabic diglossia of Egypt. ’, Colorado Research in Linguistic, 22:2010, 10.25810/tdja-6p88. Accessed 20 November 2020.
    [Google Scholar]
  39. Stats ( 2020a;), ‘ Facebook users in Egypt: October 2020. ’, NapoleonCat, https://napoleoncat.com/stats/facebook-users-in-egypt/2020/10. Accessed 25 November 2020.
    [Google Scholar]
  40. Stats ( 2020b;), ‘ Messenger users in Egypt: October 2020. ’, NapoleonCat, https://napoleoncat.com/stats/messenger-users-in-egypt/2020/10. Accessed 25 November 2020.
    [Google Scholar]
  41. Vetter, M.. ( 2002;), ‘ Quality aspects of bots. ’, in D. Meyerhoff,, B. Laibarra,, R. van der Pouw Kraan, and A. Wallet. (eds), Software Quality and Software Testing in Internet Times, Berlin and Heidelberg:: Springer;, pp. 16584.
    [Google Scholar]
  42. Wardle, C., and Derakhshan, H.. ( 2017), Information Disorder: Toward an Interdisciplinary Framework for Research and Policy Making, Strasbourg, France:: Council of Europe;, https://edoc.coe.int/en/media/7495-information-disorder-toward-an-interdisciplinary-framework-for-research-and-policy-making.html. Accessed 10 November 2020.
    [Google Scholar]
  43. WHO ( 2020a;), ‘ Coronavirus disease 2019 (COVID-19): Situation report – 89. ’, World Health Organization, 18 April, https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200418-sitrep-89-covid-19.pdf. Accessed 16 November 2020.
    [Google Scholar]
  44. WHO ( 2020b;), ‘ Coronavirus disease (COVID-19): Situation report – 203. ’, World Health Organization, 10 August, https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200810-covid-19-sitrep-203.pdf?sfvrsn=aa050308_4. Accessed 20 August 2020.
    [Google Scholar]
  45. WHO ( 2020c;), ‘ Listings of WHO’s response to COVID-19. ’, World Health Organization, 29 June, https://www.who.int/news-room/detail/29-06-2020-covidtimeline. Accessed 20 January 2021.
    [Google Scholar]
  46. Wolfsfeld, G.,, Segev, E., and Sheafer, T.. ( 2013;), ‘ Social media and the Arab Spring: Politics comes first. ’, The International Journal of Press/Politics, 18:2, pp. 11537.
    [Google Scholar]
  47. Yawmiyāt Wanīs (1994–1998, Egypt:: Egyptian Radio and Television Union);, https://elcinema.com/work/1011316/. Accessed 1 August 2020.
    [Google Scholar]
  48. Zeifman, I.. ( 2017;), ‘ Bot traffic report 2016. ’, Imperva, 24 January, https://www.imperva.com/blog/bot-traffic-report-2016/. Accessed 26 May 2020.
    [Google Scholar]
  49. Khattab, Mona. ( 2021;), ‘ Infobotting COVID-19: A case study of Ask Nameesa in Egypt. ’, Journal of African Media Studies, 13:3, pp. 45176, https://doi.org/10.1386/jams_00059_1
    [Google Scholar]
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  • Article Type: Article
Keyword(s): chatbot; coronavirus; Facebook Messenger; infobot; misinformation; pandemic
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