Oct 2026· Advances in computational intelligence and robotics book series· 31 references
Digital Marketing and Social Media
Abstract
The emerging capabilities in AI have revolutionized the world of social media marketing, particularly how businesses personalize and strategize for social media in the inflow of huge amounts of data, most importantly the optimization of influencer collaborations. Hence, this research paper attempts to construct a research framework drawn from the Stimulus–Organism–Response Model that seeks to establish whether the use of AI-enhanced marketing stimuli affects consumer engagement, personalization, and return on marketing investments. Furthermore, the proposed model is supplemented by the Technology Acceptance Model that explains how people use AI-marketing platforms. Results show that user engagement, on a general level, and purchase intentions can be positively influenced through the use of highly sophisticated AI-based personalization techniques, as well as evaluative credibility by the earned influence.
The method, ECCOLA, is presented, which aims at making the high-level AI ethics principles more practical, making it possible for developers to more easily implement them in practice.
Ville Vakkuri, Kai-Kristian Kemell, P. Abrahamsson· EUROMICRO Conference on Soft...· 64 citations· ⚡6
The goal is to not only refine the accuracy of the LLM-based tool but also to underscore its potential in streamlining the software development lifecycle through proactive code improvement and education.
Z. Rasheed, Malik Abdul Sami, Muhammad Waseem et al.· arXiv.org· 62 citations· ⚡3
The use of large language models to automatically improve the user story quality in Austrian Post Group IT agile teams is explored, with a reference model for an Autonomous LLM-based Agent System developed and implemented at the company.
Zheying Zhang, M. Rayhan, Tomas Herda et al.· International Conference on...· 48 citations· ⚡4
This paper introduces a novel multi-AI-agent system designed to fully automate SLRs, and demonstrates how it substantially reduces the time and effort traditionally required for SLRs while maintaining comprehensiveness and precision.
Abdul Malik Sami, Z. Rasheed, Kai-Kristian Kemell et al.· arXiv.org· 44 citations· ⚡2
The proposed LLM-based multi-agent system automates qualitative data analysis process, creating opportunities for researchers and practitioners, and future improvements focus on enhancing multilingual performance and integrating continuous expert feedback.
Z. Rasheed, Muhammad Waseem, Aakash Ahmad et al.· arXiv.org· 41 citations
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
