The Evolution and Impact of Large Language Model Chatbots in Social Media: A Comprehensive Review of Past, Present, and Future Applications

Öz

Chatbots are computer programs using artificial intelligence and natural language processing (NLP) developed for written communication with humans. They can be designed with varying levels of sophistication, from basic keyword scanning to advanced AI technologies. Chatbots have a long history, with early examples dating back to the mid-20th century. Recent advancements in AI have made chatbots smarter and more functional, allowing them to be used in a variety of industries. Chatbots have become increasingly popular in social media, providing businesses and organizations with an efficient way to engage with customers and followers. Social media chatbots utilize NLP technology to understand and respond to user inquiries, providing personalized and immediate support. They can be used for a variety of purposes, including customer service, marketing, and sales, and can offer a range of services, from answering basic questions to completing transactions. With the ability to interact with users in real-time, social media chatbots can help businesses improve customer satisfaction and increase engagement, making them an important tool for social media strategy. The aim of this paper is to offer a thorough and nuanced comprehension of the current and past utilization of chatbots in social media, as well as to provide insights into potential future trends and developments.

Anahtar Kelimeler

• Chatbot
• Social media
• Twitter
• Instagram
• Facebook
• Natural language processing

Büyük Dil Modelli Sohbet Robotlarının Sosyal Medyadaki Gelişimi ve Etkisi: Geçmiş, Günümüz ve Gelecekteki Uygulamalara İlişkin Kapsamlı Bir Derleme

Öz

Sohbet robotları, insanlarla yazılı iletişim için geliştirilmiş yapay zeka ve doğal dil işleme (NLP) tabanlı bilgisayar programlarıdır. Temel anahtar kelime tabanlı yanıtlardan gelişmiş yapay zeka teknolojilerine kadar çeşitli gelişmişlik düzeylerinde tasarlanabilirler. Sohbet robotlarının uzun bir geçmişi vardır ve ilk örnekleri 20. yüzyılın ortalarına kadar uzanmaktadır. Yapay zeka alanındaki son gelişmeler, sohbet robotlarını daha akıllı ve işlevsel hale getirerek çeşitli sektörlerde kullanılmalarına olanak sağlamıştır. Sohbet robotları, sosyal medyada giderek daha popüler hale gelerek işletmelere ve kuruluşlara müşteri ve takipçilerle etkileşim kurmanın etkili bir yolunu sunmaktadır. Sosyal medya sohbet robotları, kullanıcı sorularını anlamak ve yanıtlamak için NLP teknolojisini kullanır. İsteğe göre kişiselleştirilmiş olup anında destek sağlar. Müşteri hizmetleri, pazarlama ve satış dahil olmak üzere çeşitli amaçlar için kullanılabilirler ve temel soruları yanıtlamaktan işlemleri tamamlamaya kadar birçok çeşit hizmet sunabilirler. Kullanıcılarla gerçek zamanlı olarak etkileşime girebilme özelliğiyle sosyal medya sohbet robotları, işletmelerin müşteri memnuniyetini artırmasına ve etkileşimi olumlu biçimde yönetmesine yardımcı olabilir ve bu da onları sosyal medya stratejisi için önemli bir araç haline getirir. Bu derlemenin amacı, sohbet robotlarının sosyal medyadaki mevcut ve geçmiş kullanımına ilişkin kapsamlı ve incelikli bir kavrayış sunmanın yanı sıra gelecekteki potansiyel eğilimler ve gelişmeler hakkında içgörü sağlamaktır.

Anahtar Kelimeler

• Sohbet robotu
• Sosyal medya
• Twitter
• Instagram
• Facebook
• Doğal dil işleme

Kaynakça

1. Jia, J. (2004). The study of the application of a web-based chatbot system on the teaching of foreign languages. In Society for Information Technology & Teacher Education International Conference (pp. 1201-1207). Association for the Advancement of Computing in Education (AACE).
2. Kumar, R., & Ali, M. M. (2020). A review on chatbot design and implementation techniques. Int. J. Eng. Technol, 7(11).
3. Ayanouz, S., Abdelhakim, B. A., & Benhmed, M. (2020, March). A smart chatbot architecture based NLP and machine learning for health care assistance. In Proceedings of the 3rd international conference on networking, information systems & security (pp. 1-6).
4. Go, E., & Sundar, S. S. (2019). Humanizing chatbots: The effects of visual, identity and conversational cues on humanness perceptions. Computers in Human Behavior, 97, 304-316.
5. Bhirud, N., Tataale, S., Randive, S., & Nahar, S. (2019). A literature review on chatbots in healthcare domain. International journal of scientific & technology research, 8(7), 225-231.
6. Weizenbaum, J. (1966). ELIZA—a computer program for the study of natural language communication between man and machine. Communications of the ACM, 9(1), 36-45.
7. Zhou, L., Gao, J., Li, D., & Shum, H. Y. (2020). The design and implementation of xiaoice, an empathetic social chatbot. Computational Linguistics, 46(1), 53-93.
8. Dillon, S. (2020). The Eliza effect and its dangers: From demystification to gender critique. Journal for Cultural Research, 24(1), 1-15.

9. Güzeldere, G., & Franchi, S. (1995). Dialogues with colorful “personalities” of early AI. Stanford Humanities Review, 4(2), 161-169.
10. Boden, p. 370 (2006)
11. Feigenbaum, E. A. (1980). Knowledge Engineering: The Applied Side of Artificial Intelligence. STANFORD UNIV CA DEPT OF COMPUTER SCIENCE.
12. Weber, P., & Ludwig, T. (2020). (Non-) Interacting with conversational agents: perceptions and motivations of using chatbots and voice assistants. In Proceedings of Mensch und Computer 2020 (pp. 321-331).
13. Ahmad, N. A., Che, M. H., Zainal, A., Abd Rauf, M. F., & Adnan, Z. (2018). Review of chatbots design techniques. International Journal of Computer Applications, 181(8), 7-10.
14. Khan, S., & Rabbani, M. R. (2020, November). Chatbot as Islamic finance expert (CaIFE) When finance meets artificial intelligence. In proceedings of the 2020 4th international symposium on computer science and intelligent control (pp. 1-5).
15. Vaidyam, A. N., Wisniewski, H., Halamka, J. D., Kashavan, M. S., & Torous, J. B. (2019). Chatbots and conversational agents in mental health: a review of the psychiatric landscape. The Canadian Journal of Psychiatry, 64(7), 456-464.
16. Rapp, A., Curti, L., & Boldi, A. (2021). The human side of human-chatbot interaction: A systematic literature review of ten years of research on text-based chatbots. International Journal of Human-Computer Studies, 151, 102630.
17. Peer Jr, W. L. (2023). Chatbot Pedagogical Agent Social Presence Effectiveness with Emojis: An Experiment (Doctoral dissertation, Grand Canyon University).
18. Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of business research, 104, 333-339.
19. Davies, P. (2000). The relevance of systematic reviews to educational policy and practice. Oxford review of education, 26(3-4), 365-378.
20. OpenAI (2023). GPT-4 Technical Report. ArXiv, abs/2303.08774.
21. Roose, K. (2023). A Conversation With Bingʼs Chatbot Left Me Deeply Unsettled.
22. Garon, J. (2023). A Practical Introduction to Generative AI, Synthetic Media, and the Messages Found in the Latest Medium. Synthetic Media, and the Messages Found in the Latest Medium (March 14, 2023).
23. Rahaman, M., Ahsan, M. M., Anjum, N., Rahman, M., & Rahman, M. N. (2023). The AI Race is On! Google's Bard and OpenAI's ChatGPT Head to Head: An Opinion Article. Mizanur and Rahman, Md Nafizur, The AI Race is on.
24. Koubaa, A., Boulila, W., Ghouti, L., Alzahem, A., & Latif, S. (2023). Exploring ChatGPT Capabilities and Limitations: A Critical Review of the NLP Game Changer.
25. Open AI. (2022, November 30). Introducing chatgpt. Introducing ChatGPT. Retrieved April 11, 2023, from https://openai.com/blog/chatgpt
26. Milmo, D. (2023, February 2). CHATGPT reaches 100 million users two months after launch. The Guardian. Retrieved April 11, 2023, from https://www.theguardian.com/technology/2023/feb/02/chatgpt-100-million-users-open-ai-fastest-growing-app
27. Mijwil, M., Aljanabi, M., & Ali, A. H. (2023). ChatGPT: Exploring the Role of Cybersecurity in the Protection of Medical Information. Mesopotamian journal of cybersecurity, 2023, 18-21.
28. Peters, J. (2023, March 14). The bing AI bot has been secretly running GPT-4. The Verge. Retrieved April 11, 2023, from https://www.theverge.com/2023/3/14/23639928/microsoft-bing-chatbot-ai-gpt-4-llm
29. Medhi Y. (2023 December 5), Celebrating the first year of Copilot with significant new innovations. Retrieved December 8 2023 from https://blogs.microsoft.com/blog/2023/12/05/celebrating-the-first-year-of-copilot-with-significant-new-innovations/
30. Gravitas, S. (n.d.). Auto-GPT: An experimental open-source attempt to make GPT-4 fully autonomous. GitHub. Retrieved April 17, 2023, from https://github.com/Significant-Gravitas/Auto-GPT
31. M. Schade (2023 November 6), GPT-4 Turbo. Retrieved November 15 2023 from https://help.openai.com/en/articles/8555510-gpt-4-turbo
32. Doyle, K. (2022, December 10). Chatgpt vs. Jasper: How it's different from Jasper Chat. RSS. Retrieved April 11, 2023, from https://www.jasper.ai/blog/what-is-chatgpt
33. Anthropic Introducing Claude. Anthropic Blog 2023, March 14. Retrieved November 15 2023 from https://www.anthropic.com/index/introducing-claude
34. Pichai, S. (2023, February 6). An important next step on our ai journey. Google. Retrieved April 11, 2023, from https://blog.google/technology/ai/bard-google-ai-search-updates/
35. Collins, E., Ghahramani, Z. (2021, May 18). LAMDA: Our breakthrough conversation technology. Google. Retrieved April 11, 2023, from https://blog.google/technology/ai/lamda/
36. Pichai S., Hassabis D. (2023 December 6). Introducing Gemini: our largest and most capable AI model. Google. Retrieved December 8 2023 from https://blog.google/technology/ai/google-gemini-ai/
37. You.com. (2021, December 9). You.com: The search engine that puts you in control. Medium. Retrieved April 11, 2023, from https://blog.you.com/you-com-the-search-engine-that-puts-you-in-control-6f5d43519532
38. Garg, S. (2023, March 22). What is ChatSonic and how to use it. The Writesonic Blog - Making Content Your Superpower. Retrieved April 11, 2023, from https://writesonic.com/blog/what-is-chatsonic/
39. Haque, M. U., Dharmadasa, I., Sworna, Z. T., Rajapakse, R. N., & Ahmad, H. (2022). " I think this is the most disruptive technology": Exploring Sentiments of ChatGPT Early Adopters using Twitter Data. arXiv preprint arXiv:2212.05856.
40. Taecharungroj, V. (2023). “What Can ChatGPT Do?” Analyzing Early Reactions to the Innovative AI Chatbot on Twitter. Big Data and Cognitive Computing, 7(1), 35.
41. Jeong, S. S., & Seo, Y. S. (2019). Improving response capability of chatbot using twitter. Journal of Ambient Intelligence and Humanized Computing, 1-14.
42. Mathur, V., Stavrakas, Y., & Singh, S. (2016, December). Intelligence analysis of Tay Twitter bot. In 2016 2nd International Conference on Contemporary Computing and Informatics (IC3I) (pp. 231-236). IEEE.
43. Hu, T., Xu, A., Liu, Z., You, Q., Guo, Y., Sinha, V., ... & Akkiraju, R. (2018, April). Touch your heart: A tone-aware chatbot for customer care on social media. In Proceedings of the 2018 CHI conference on human factors in computing systems (pp. 1-12).
44. Lee, P. (2016, March 25). Learning from Tay's introduction. The Official Microsoft Blog. Retrieved April 11, 2023, from https://blogs.microsoft.com/blog/2016/03/25/learning-tays-introduction/
45. Farell Danés, A., & Ferreras Ferreras, J. (2021). L’Evocative. Creation of a digital marketing agency based on Instagram Chatbots.
46. BARIŞ, A. (2020). A new business marketing tool: chatbot. GSI Journals Serie B: Advancements in Business and Economics, 3(1), 31-46.
47. Smutny, P., & Schreiberova, P. (2020). Chatbots for learning: A review of educational chatbots for the Facebook Messenger. Computers & Education, 151, 103862.
48. Balasudarsun, N. L., Sathish, M., & Gowtham, K. (2018). Optimal ways for companies to use Facebook Messenger Chatbot as a Marketing Communication Channel. Asian Journal of Business Research, 8(2), 1.
49. Parthornratt, T., Kitsawat, D., Putthapipat, P., & Koronjaruwat, P. (2018, July). A smart home automation via facebook chatbot and raspberry pi. In 2018 2nd International Conference on Engineering Innovation (ICEI) (pp. 52-56). IEEE.
50. Licapa-Rodriguez, R., Gomez-Ramos, J., & Mauricio, D. (2021, October). EcoBot: Virtual assistant for e-commerce of ecological bricks based on Facebook Messenger. In 2021 IEEE Engineering International Research Conference (EIRCON) (pp. 1-4). IEEE.
51. Adam, M., Wessel, M., & Benlian, A. (2021). AI-based chatbots in customer service and their effects on user compliance. Electronic Markets, 31(2), 427-445.
52. Xu, A., Liu, Z., Guo, Y., Sinha, V., & Akkiraju, R. (2017, May). A new chatbot for customer service on social media. In Proceedings of the 2017 CHI conference on human factors in computing systems (pp. 3506-3510).
53. Suta, P., Lan, X., Wu, B., Mongkolnam, P., & Chan, J. H. (2020). An overview of machine learning in chatbots. International Journal of Mechanical Engineering and Robotics Research, 9(4), 502-510.