ARTICLE

CHABOTS AS ENTERTAINING CONTENT FOR THE YOUTH IN PAKISTAN

  1. HOME
  2. ARTICLE

04 Pages : 42-52

http://dx.doi.org/10.31703/gmcr.2024(IX-II).04      10.31703/gmcr.2024(IX-II).04      Published : Jun 2024

Chabots as Entertaining Content for the Youth in Pakistan

Abstract

    This study investigates the impact of chatbots as a form of entertainment on Pakistani youth. Chatbots have gained popularity for providing personalized and engaging experiences through conversational interfaces. However, limited research addresses their effects specifically as entertainment for young people in Pakistan. Utilizing a qualitative research approach, this study gathers in-depth insights from six purposively sampled Pakistani youth familiar with chatbots. Guided by social cognitive theories, entertainment education, and media influence frameworks, the research employs in-depth interviews and content analysis to explore participant’s perceptions and interactions with chatbots. The findings reveal the potential benefits and drawbacks of chatbots as entertainment, highlighting their influence on youth behavior, attitudes, and information acquisition. Additionally, the results offer guidance for developing responsible digital entertainment platforms that consider cultural nuances and developmental needs. This study provides valuable insights for policymakers, educators, and content creators to thoughtfully integrate chatbots into the entertainment industry for Pakistani youth.

    Chatbot, Entertainment Effects, Media Consumption, Pakistani Youth Culture, Youth Behavior

    (1) Nasim Ishaq
    Assistant Professor, Department of Communication and Media Research, School of Communication Studies, University of Punjab, Lahore Punjab, Pakistan.
    (2) Tanveer Hussain
    Assistant Professor, Department of Communication and Media Research, School of Communication Studies, University of Punjab, Lahore, Punjab, Pakistan.
    (3) Anoosha Fatima
    Graduate, Department of Communication and Media Research, School of Communication Studies, University of Punjab, Lahore, Punjab, Pakistan.
Fulltext PDF

References

  • Al-Ghamdi, L. M. (January 2021). Towar

  • Al-Ansari, H., Gerwe, O., & Razzaque, A. (2020). Impact of artificial intelligence based social capi

  • Argal, A., Gupta, S., Modi, A., Pandey, P., Shim, S., & Choo, C. (2018, January). Intelligent travel chatbot for predictive recommendation in echo platform. In 8th annual Computing and Communication Workshop and Conference (CCWC), 2018 (pp. 176–183). IEEE Publications.

  • Brandtzaeg, P. B., & Følstad, A. (2017). Why people use chatbots. In Lecture Notes in Computer Science. Springer, 10673, 377–392.

  • Boucher, E. M., Harake, N. R., Ward, H. E., Stoeckl, S. E., Vargas, J., Minkel, J., Park, A. C., & Zilca, R. (2021). Artificially intelligent chatbots in digital mental health interventions:

  • Bhutoria, A. (2022). Personalized education and Artificial Intelligence in the United States, China, and India: A systematic review using a Human-In-The-Loop model. Computers and Education, 

  • Bariş, A. (2020). A NEW BUSINESS MARKETING TOOL: CHATBOT. DergiPark (Istanbul University).

  • Bechmann, A., & Bowker, G. C. (2019). Unsupervised by any other name: Hidden layers of knowledge production in artificial intelligence on social media. Big Data and Society, 6(1). <

  • Basri, W. (2020b). Examining the impact of Artificial intelligence (AI)-Assisted social Media marketing on the performance of small and medium enterprises: Toward Effective Business Management in the Saudi Arabian con

  • Cheng, Y., & Jiang, H. (2020). How do AI-driven chatbots impact user experience? Examining gratifications, perceived privacy risk, satisfaction, loyalty, and continued use. Journal of Broadcasting & Electro

  • Cheng, Y., & Jiang, H. (2020). How do AI-driven chatbots impact user experience? Examining gratifications, perceived privacy risk, satisfaction, loyalty, and continued use. Journal of Broadcasting & Electro

  • Chen, M., Shen, K., Wang, R., Miao, Y., Jiang, Y., Hwang, K., Hao, Y., Tao, G., Hu, L., & Liu, Z. (2022), 16 pages. Negative information measurement at AI edge: A new perspective for mental health monitoring. ACM Transactions

  • Chang, M. A., Philip, T. M., Cortez, A., McKoy, A., Sumner, T., & Penuel, W. R. (2022). Engaging youth in envisioning artificial intelligence in classrooms: Lessons learned. Rapid Community Report Series. Digital Promise and

  • Casillo, M., Clarizia, F., D’Aniello, G., De Santo, M., Lombardi, M., & Santaniello, D. (2020). CHAT-Bot: A cultural heritage aware teller-bot for supporting touristic experiences. Pattern Recognition Letters, 

  • Følstad, A., & Brandtzaeg, P. B. (2020). Users’ experiences with chat-bots: Findings from a questionnaire study. Quality and User Experience, 5(1), 3.

  • Følstad, A., & Brandtzaeg, P. B. (2020). Users’ experiences with chat-bots: Findings from a questionnaire study. Quality and User Experience, 5(1), 3.

  • Galitsky, B., & Galitsky, B. (2019). A content management system for chatbots. Developing Enterprise Chatbots, 253–326.

  • Garcia-Mendez, S., De Arriba-Perez, F., Gonzalez-Castano, F. J., Regueiro-Janeiro, J. A., & Gil-Castineira, F. (2021). Entertainment Chatbot for the digital inclusion of elderly people without abstraction capabilities. IEEE A

  • Gursoy, D., Chi, O. H., Lu, L., & Nunkoo, R. (2019). Consumers' acceptance of artificially intelligent (AI) device use in service delivery. International Journal of Information Management, 49, 157–169.

  • Hasse, A., Cortesi, S., Lombana-Bermudez, A., & Gasser, U. (2019). Youth and artificial intelligence: Where we stand. Social Science Research Network.

  • Karnouskos, S. (2020). Artificial intelligence in digital media: the era of Deepfakes. IEEE Transactions on Technology and Society, 1(3), 138–147.

  • Kumar, V., Rajan, B., Venkatesan, R., & Lecinski, J. (2019). Understanding the role of artificial intelligence in personalized engagement marketing. California Management Review, 61(4),

  • Kawasaki, M., Yamashita, N., Lee, Y. C., & Nohara, K. (2020, October). Assessing users’ mental status from their journalism behavior through chatbots. In Proceedings of the 20th ACM International Conference on<

  • Kerimbayev, N., Jotsov, V., Umirzakova, Z., Bolyskhanova, M., & Tkach, G. (2022, October). The use of chat-bot capabilities as A type of modeling in intelligent learning. In 11th International Conference on Intelligent Systems (IS), 2022 (pp. 1–8). IEEE Publications. IEEE Publications.

  • Laacke, S., Mueller, R., Schomerus, G., & Salloch, S. (2021). Artificial Intelligence, Social Media and Depression. A new concept of Health-Related Digital Autonomy. American Journal of Bioethics, 21(7), 4–20.

  • Lin, J., & Wu, L. (2023). Examining the psychological process of developing consumer-brand relationships through strategic use of social media brand chatbots. Computers in Human Behavior, 140, 107488.

  • Min, F., Fang, Z., He, Y., & Xuan, J. (2021). Research on users’ trust of chat-bots driven by AI: An empirical analysis based on system factors and user characteristics IEEE International Conference on Consumer Electron

  • Mokmin, N. a. M., & Ibrahim, N. A. (2021). The evaluation of chatbot as a tool for health literacy education among undergraduate students. Education and Information Technologies, 26(5), 6033–6049.

  • Mariani, M. M., Perez-Vega, R., & Wirtz, J. (2022). AI in marketing, consumer research and psychology: A systematic literature review and research agenda. Psychology and Marketing, 39(4), 755–776.

  • Nadarzynski, T., Puentes, V., Pawlak, I., Mendes, T., Montgomery, I., Bayley, J., & Ridge, D. (2021). Barriers and facilitators to engagement with artificial intelligence (AI)-based chatbots for sexual and reproductive healt

  • Nithuna, S., & Laseena, C. A. (2020, July). Review on implementation techniques of chatbot. In International Conference on Communication and Signal Processing (ICCSP), 2020 (pp. 157–161). IEEE Publications.

  • Ouyang, F., Zheng, L., & Jiao, P. (2022). Artificial intelligence in online higher education: A systematic review of empirical research from 2011 to 2020. Education and Information Technologies

  • Popenici, S. A. D., & Kerr, S. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning,&

  • Agarwal, T., Bharadwaj, V., Lakshmanan, R., Gao, X. Z., Poongodi, M., & Vijayakumar, V. (2019). Chat-Bot based natural language interface for blogs and information networks. International Journal of Web Based Co

  •  

  • Riley, A. H., Sangalang, A., Critchlow, E., Brown, N., Mitra, R., & Nesme, B. C. (2020). Entertainment-Education Campaigns and COVID-19: How three global organizations adapted the health communication strategy for pandemic respon

  • Srinivas, K. K., Peddi, A., Srinivas, B. G. S., Vardhini, P. A. H., Prasad, H. L. P., & Choudhary, S. K. (2022). Artificial intelligence techniques for Chatbot applications. 2022 International Mobile and Embedd

  • Seo, K., Tang, J., Roll, I., Fels, S., & Yoon, D. (2021). The impact of artificial intelligence on learner–instructor interaction in online learning. International Journal of Educational

  • Sadiku, M. N. O., Ashaolu, T. J., Ajayi-Majebi, A., & Musa, S. M., Artificial Intelligence in Social Media. 2708–7972 volume. International Journal of Scientific Advances ISSN.

  • Srinivas, K. K., Peddi, A., Srinivas, B. G. S., Vardhini, P. A. H., Prasad, H. L. P., & Choudhary, S. K. (2022b). Artificial intelligence techniques for Chatbot applications. 2022 International Mobile and Embedded Technology C

  • Sanghvi, H. A., Pandya, S. B., Chattopadhyay, P., Patel, R. H., & Pandya, A. S. (2021). Data science for E-Healthcare, entertainment, and finance. 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA).

  • Tadvi, S., Rangari, S., & Rohe, A. (2020). HR Based Interactive Chat bot (PowerBot). 2020 International Conference on Computer Science, Engineering and Applications (ICCSEA).

  • Väänänen, K., Hiltunen, A., Varsaluoma, J., & Pietilä, I. (2020). CivicBots – Chatbots for supporting youth in societal participation. In Lecture notes in computer science (pp. 143–157).

  • Vanichvasin, P. (2021). Chatbot development as a digital learning tool to increase students’ research knowledge. International Education Studies, 14(2), 44.

  • Wang, H., Gupta, S., Singhal, A., Muttreja, P., Singh, S., Sharma, P., & Piterova, A. (2022). An Artificial intelligence chatbot for Young People’s Sexual and Reproductive Health in India (SNEHAI): instrumental case study. JM

  • Wunderlich, W. (2021, December). Chat bot concept for a social pain reliever. In International Conference on Electrical, Computer and Energy Technologies (ICECET), 2021 (pp. 1–6). IEEE Publications.

  • Yan, R. (2018, July). ‘Chitty-Chitty-Chat Bot’: Deep learning for conversational AI. In IJCAI, 18.

Cite this article

APA

CHICAGO

    CHICAGO : Ishaq, Nasim, Tanveer Hussain, and Anoosha Fatima. 2024. "Chabots as Entertaining Content for the Youth in Pakistan." Global Mass Communication Review, IX (II): 42-52 doi: 10.31703/gmcr.2024(IX-II).04

HARVARD

    HARVARD : ISHAQ, N., HUSSAIN, T. & FATIMA, A. 2024. Chabots as Entertaining Content for the Youth in Pakistan. Global Mass Communication Review, IX, 42-52.

MHRA

    MHRA : Ishaq, Nasim, Tanveer Hussain, and Anoosha Fatima. 2024. "Chabots as Entertaining Content for the Youth in Pakistan." Global Mass Communication Review, IX: 42-52

MLA

    MLA : Ishaq, Nasim, Tanveer Hussain, and Anoosha Fatima. "Chabots as Entertaining Content for the Youth in Pakistan." Global Mass Communication Review, IX.II (2024): 42-52 Print.

OXFORD

    OXFORD : Ishaq, Nasim, Hussain, Tanveer, and Fatima, Anoosha (2024), "Chabots as Entertaining Content for the Youth in Pakistan", Global Mass Communication Review, IX (II), 42-52

TURABIAN

    TURABIAN : Ishaq, Nasim, Tanveer Hussain, and Anoosha Fatima. "Chabots as Entertaining Content for the Youth in Pakistan." Global Mass Communication Review IX, no. II (2024): 42-52. https://doi.org/10.31703/gmcr.2024(IX-II).04