USE AND EFFICACY OF AI PLATFORMS FOR CONTENT CREATION TO INFLUENCE TRAVEL THROUGH SOCIAL MEDIA
DOI:
https://doi.org/10.29121/shodhkosh.v5.i3.2024.1132Keywords:
Contents, AI, Creation, Social Media, Travel, Challenges, Cyberspace, Cyber Security, DataAbstract [English]
Introduction: In this paper, the main aim of the research is to know the use of AI platforms in content creation for travel in social media. The aim and objectives along with the research question that are met in this research paper are stated below.
Literature review: The studies that inspired the purpose and objectives of this research paper are stated under the Literature Review. The “social media interference warfare theory” and “cyberspace model” has been discussed mitigating the challenge those are faced in AI content creation.
Methodology: Primary quantitative research method has been followed with a survey questionnaire. From 103 total population, post filtering the non AI platform users, 60 people as the sample size was finalized with random sampling technique. The participants responded to 10 questions and the data were analyzed with regression analysis through IBM-SPSS as software.
Findings and discussion: Data has been analyzed with the help of SPSS tool. Correlation, and frequency with ANOVA have been analyzed and the results have been compared with the literature review. Similarity has been found and a correlation among the variables has been noticed.
Conclusion: It has been concluded that the use of AI in content creation for travel and influencing people with social media is useful. The factors post credibility, user intention and trust and loyalty positively impact the travellers, where social media as a content creation tool is found effective.
References
AI-Youbi, A. O., Al-Hayani, A., Bardesi, H. J., Basheri, M., Lytras, M. D., &Aljohani, N. R. (2020). The King Abdulaziz University (KAU) pandemic framework: a methodological approach to leverage social media for the sustainable management of higher education in crisis. Sustainability, 12(11), 4367. Retrieved from 30th July 2023 DOI: https://doi.org/10.3390/su12114367
Alam, A. (2022). Employing adaptive learning and intelligent tutoring robots for virtual classrooms and smart campuses: reforming education in the age of artificial intelligence. In Advanced Computing and Intelligent Technologies: Proceedings of ICACIT 2022 (pp. 395-406). Singapore: Springer Nature Singapore. Retrieved from 30th July 2023 DOI: https://doi.org/10.1007/978-981-19-2980-9_32
Baloyi, E., Mahlasels, O., Siphambili, N., and Stegmann, M. (2024). Social media as a strategic advantage during cyber warfare: A systematic literature review. In: 19th Proceedings of the International Conference on Cyber Warfare and Security (ICCWS), 19(1): 19-25. Retrieved from 10th July 2024 DOI: https://doi.org/10.34190/iccws.19.1.2036
Benabdelouahed, R., &Dakouan, C. (2020). The use of artificial intelligence in social media: opportunities and perspectives. Expert journal of marketing, 8(1), 82-87.Retrieved on: 30th July 2023 from: Chatting about ChatGPT: how may AI and GPT impact academia and libraries?. Library Hi Tech News, 40(3), 26-29. Retrieved from 30th July 2023 DOI: https://doi.org/10.1108/LHTN-01-2023-0009
Bernard, R.H. (2000). Social research methods: qualitative and quantitative approaches. Thousand Oaks, California: Sage.
Black, J. S., & van Esch, P. (2020). AI-enabled recruiting: What is it and how should a manager use it? Business Horizons, 63(2), 215-226. Retrieved from 30th July 2023 DOI: https://doi.org/10.1016/j.bushor.2019.12.001
Boerman, S.C., Willemsen, L.M., and Eva, P.V.D.A. (2017). This post is sponsored: Effects of sponsorship disclosure on persuasion knowledge and electronic word of mouth in the context of Facebook. J. Interact. Market. 38: 82-92. Retrieved from 11th July 2024 DOI: https://doi.org/10.1016/j.intmar.2016.12.002
Bruns, J.D., and Meibner, M, (2024). Do you create your content yourself? Using generative artificial intelligence for social media content creation diminishes perceived brand authenticity. Journal of Retailing and Consumer Services, 79(2024): 103790. Retrieved from 11th July 2024 DOI: https://doi.org/10.1016/j.jretconser.2024.103790
Campbell, C., Sands, S., Ferraro, C., Tsao, H. Y. J., &Mavrommatis, A. (2020). From data to action: How marketers can leverage AI. Business horizons, 63(2), 227-243. Retrieved from 30th July 2023 DOI: https://doi.org/10.1016/j.bushor.2019.12.002
Canhoto, A. I., & Clear, F. (2020). Artificial intelligence and machine learning as business tools: A framework for diagnosing value destruction potential. Business Horizons, 63(2), 183-193.Retrieved from 30th July 2023 DOI: https://doi.org/10.1016/j.bushor.2019.11.003
Cao, Y., Li, S., Liu, Y., Yan, Z., Dai, Y., Yu, P. S., & Sun, L. (2023). A comprehensive survey of AI-generated content (AIGC): A history of generative AI from gan to chatgpt. arXiv preprint arXiv:2303.04226. Retrieved from 30th July 2023
Cena, J. (2024). Exploring the evolution of Artificial Intelligence: From early concepts to modern applications. Artificial Intelligence, The University of Manchester, 24th March 2024. 1-10. Retrieved from 11th July 2024
Cetinic, E., & She, J. (2022). Understanding and creating art with AI: Review and outlook. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 18(2), 1-22.Retrieved from 30th July 2023 DOI: https://doi.org/10.1145/3475799
Coelho, J., Gomes, G., Matos, E and Duarte, C. (2013). A survey about media content consumption in social network platforms. In: 5th National Conference on Human-Machine Interaction (Interaction 2013), pp: 1-4. Retrieved from 11th July 2024
Creswell, J. (1998). Qualitative inquiry and research design: Choosing among five traditions. Thousand Oaks. CA : Sage.
Damanik, D., Wachyuni, S. S., Wiweka, K., & Setiawan, A. (2019). The Influence of Social Media on the Domestic Tourist's Travel Motivation Case Study: Kota Tua Jakarta, Indonesia. Current Journal of Applied Science and Technology, 36(6), 1-14.Retrieved from 30th July 2023 DOI: https://doi.org/10.9734/cjast/2019/v36i630263
Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., & Williams, M. D. et al., (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, 101994.Retrieved from 30th July 2023 DOI: https://doi.org/10.1016/j.ijinfomgt.2019.08.002
Garvey, M.D., (2021). A philosophical examination on the definition of cyberspace. Chapter 1, World Scientific Publishing Company. 1-11. Retrieved from 09th July 2024 DOI: https://doi.org/10.1142/9789811233128_0001
Gorwa, R., Binns, R., & Katzenbach, C. (2020). Algorithmic content moderation: Technical and political challenges in the automation of platform governance. Big Data & Society, 7(1), 2053951719897945. Retrieved from 30th July 2023 DOI: https://doi.org/10.1177/2053951719897945
Gregory, R. W., Henfridsson, O., Kaganer, E., &Kyriakou, H. (2021). The role of artificial intelligence and data network effects for creating user value. Academy of management review, 46(3), 534-551. Retrieved from: 30th July 2023 DOI: https://doi.org/10.5465/amr.2019.0178
Grover, P., Kar, A. K., & Dwivedi, Y. K. (2022). Understanding artificial intelligence adoption in operations management: insights from the review of academic literature and social media discussions. Annals of Operations Research, 308(1-2), 177-213.Retrieved from 30th July 2023 DOI: https://doi.org/10.1007/s10479-020-03683-9
Gupta, S., and Bashir, L. (2018). Social networking usage questionnaire: Development and validation in an Indian higher education context. Turkish Online Journal of Distance Education-TOJDE 19(4.13): 214-227. Retrieved from 10th July 2024 DOI: https://doi.org/10.17718/tojde.471918
Gupta, S., Leszkiewicz, A., Kumar, V., Bijmolt, T., &Potapov, D. (2020). Digital analytics: Modeling for insights and new methods. Journal of Interactive Marketing, 51(1), 26-43.Retrieved from 30th July 2023 DOI: https://doi.org/10.1016/j.intmar.2020.04.003
Hajli, N., Saeed, U., Tajvidi, M., & Shirazi, F. (2022). Social bots and the spread of disinformation in social media: the challenges of artificial intelligence. British Journal of Management, 33(3), 1238-1253. Retrieved from 30th July 2023 DOI: https://doi.org/10.1111/1467-8551.12554
Haleem, A., Javaid, M., Qadri, M.A., Singh, R.P and Suman, R. (2022). Artificial intelligence (AI) applications for marketing: A literature-based study. International Journal of Intelligent Networks, 3(2022): 119-132. Retrieved from11th July 2024
Hamilton, R., Ferraro, R., Haws, K.L., & Mukhopadhyay, A. (2021). Travelling with companions: The social customer journey. Journal of Marketing, 85(1), 68-92.Retrieved from 30th July 2023 DOI: https://doi.org/10.1177/0022242920908227
Javornik, A., Marder, B., Barhorst, J. B., McLean, G., Rogers, Y., Marshall, P., & Warlop, L. (2022). ‘What lies behind the filter?’Uncovering the motivations for using augmented reality (AR) face filters on social media and their effect on well-being. Computers in Human Behavior, 128, 107126.Retrieved from 30th July 2023 DOI: https://doi.org/10.1016/j.chb.2021.107126
Kar, S. (2023). Impact of Artificial Intelligence on digital marketing. International Journal of Scientific Research in Engineering and Management (IJSREM), 7(8): 1-33. Retrieved from 10th July 2024 DOI: https://doi.org/10.55041/IJSREM25001
Karnouskos, S. (2020). Artificial intelligence in digital media: The era of deepfakes. IEEE Transactions on Technology and Society, 1(3), 138-147.Retrieved from: 30th July 2023 DOI: https://doi.org/10.1109/TTS.2020.3001312
Kattel, S. (2023). Implementation of an AI-based Content Creation Strategy in the Wine Tourism Organization: The case study at Winalist. University of Porto, Portugal. 1-26. Retrieved from 12th July 2024
Kelly, S., Kaye, S-A., Oviedo-Trespalacios, O. (2023). What factors contribute to the acceptance of artificial intelligence? A systematic review. Telematics and Informatics. 77(2023): 101925. Retrieved from 10th July 2024 DOI: https://doi.org/10.1016/j.tele.2022.101925
Kok, M. G., Castelein, R. B., Broeze, J., Vernooij, D. M., Soethoudt, J. M., &Snels, J. C. M. A. (2022). Primary data collection using the EFFICIENT protocol: case studies for optimizing food value chains (No. 2316). Wageningen Food &BiobasedResearch.Retrieved from 30th July 2023 DOI: https://doi.org/10.18174/573349
Krishen, A. S., Dwivedi, Y. K., Bindu, N., & Kumar, K. S. (2021). A broad overview of interactive digital marketing: A bibliometric network analysis. Journal of Business Research, 131, 183-195.Retrieved from 30th July 2023 DOI: https://doi.org/10.1016/j.jbusres.2021.03.061
Kumar, S.K.D., Vikash, R., Mohith, S.M., and Ajayaganesh, V. (2023). Evolution of Artificial Intelligence (AI). International Journal of Research Publication and Reviews, 4(5): 678-686. Retrieved from 11th July 2024
Lund, B.D., & Wang, T. (2023). Chatting about ChatGPT: How may AI and GPT impact academia and libraries? Library Hi Tech News. Retrieved from 13th July 2024 DOI: https://doi.org/10.2139/ssrn.4333415
Malinka, K., Peresíni, M., Firc, A., Hujnák, O., & Janus, F. (2023, June). On the educational impact of ChatGPT: Is Artificial Intelligence ready to obtain a university degree?. In Proceedings of the 2023 June Conference on Innovation and Technology in Computer Science Education, 1: 47-53. Retrieved from 30th July 2023 DOI: https://doi.org/10.1145/3587102.3588827
Misra, N. N., Dixit, Y., Al-Mallahi, A., Bhullar, M. S., Upadhyay, R., &Martynenko, A. (2020). IoT, big data, and artificial intelligence in agriculture and food industry. IEEE Internet of things Journal, 9(9), 6305-6324.Retrieved from 30th July 2023 DOI: https://doi.org/10.1109/JIOT.2020.2998584
Morse, J. M. (1994). Designing funded qualitative research. In N. K. Denzin & Y. S. Lincoln (Eds.), Handbook of qualitative research (pp. 220–235). Sage Publications, Inc.
Murar, P., and Kubovics, M. (2023). Using AI to create content designed for marketing communications. In: Proceedings of the 18th European Conference on Innovation and Entrepreneurship, ECIE 2023. 660-668. Retrieved from 11th July 2024 DOI: https://doi.org/10.34190/ecie.18.1.1638
Purwanto, A. (2021). Education Management Research Data Analysis: Comparison of Results between Lisrel, Tetrad, GSCA, Amos, SmartPLS, WarpPLS, and SPSS For Small Samples. NidhomulHaq: JurnalManajemen Pendidikan Islam, 6(2).Retrieved from 30th July 2023 DOI: https://doi.org/10.31538/ndh.v6i2.1575
Purwanto, A., Asbari, M., & Santoso, T. I. (2021). Analisis Data Penelitian Marketing: Perbandingan Hasil antara Amos, SmartPLS, WarpPLS, dan SPSS UntukJumlahSampelBesar. Journal of Industrial Engineering & Management Research, 2(4), 216-227.Retrieved from 30th July 2023
Robinson, B. (2020). Towards an ontology and ethics of virtual influencers. Australasian Journal of Information Systems, 24. Retrieved from 30th July 2023 DOI: https://doi.org/10.3127/ajis.v24i0.2807
Ryan, M., & Stahl, B. C. (2020). Artificial intelligence ethics guidelines for developers and users: clarifying their content and normative implications. Journal of Information, Communication and Ethics in Society, 19(1), 61-86.Retrieved from 30th July 2023 DOI: https://doi.org/10.1108/JICES-12-2019-0138
Senyapar, H.N.D. (2024). Artificial Intelligence in Marketing Communication: A Comprehensive Exploration of the Integration and Impact of AI. Technium Social Sciences Journal, 55: 64-81. Retrieved from 10th July 2024 DOI: https://doi.org/10.47577/tssj.v55i1.10651
Somosi, Z. (2022). The Role of Artificial Intelligence in Content Creation and Checking Its Effectiveness in the Google Ads Advertising System. The Annals of the University of Oradea, Economic Sciences, December 2022, TOM 31(2): 259-270. Retrieved from 10th July 2024 DOI: https://doi.org/10.47535/1991AUOES31(2)025
Wong, J.W., and Yap, K.H.A. (2024). Factors Influencing the Adoption of Artificial Intelligence in Accounting among Micro Small Medium Enterprises (MSMES). Quantum Journal of Social Sciences and Humanities, 5(1): 16-28. Retrieved from 12th July 2024 DOI: https://doi.org/10.55197/qjssh.v5i1.323
Xiao, Y., Wang, L., & Wang, P. (2019). Research on the influence of content features of short video marketing on consumer purchase intentions. In 4th International Conference on Modern Management, Education Technology and Social Science (MMETSS 2019-October) (pp. 415-422). Atlantis Press. Retrieved from 30th July 2023 DOI: https://doi.org/10.2991/mmetss-19.2019.82
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Copyright (c) 2024 Sayani Chawla, Dr. Ritu S Sood, Dr. Amit Chawla
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