Background: Social media engagement is often framed as either a source of connection and utility or a threat to healthy digital functioning. This binary view is limiting in emerging-market settings where Facebook and Instagram are embedded in communication, information seeking and entertainment. Drawing on Uses and Gratifications Theory (UGT) and a digital well-being perspective, this study examines whether engagement is associated with users’ gratifications and whether gratifications explain digital well-being among Facebook and Instagram users in Bangladesh. Method: The study analyses 385 populated records from the supplied Group 3 Meta master database. The focal model uses three reflective constructs-Social Media Engagement (SME), Uses & Gratifications (UG), and Digital Well-Being (DWB)-each measured with three five-point Likert items. Measurement diagnostics include indicator loadings, Cronbach’s alpha, composite reliability, AVE and HTMT. Structural relationships are assessed with standardized paths, R², effect sizes, bootstrap confidence intervals and mediation analysis. A sensitivity analysis excludes one straight-line response. Results: SME was positively associated with UG (β = .305, p < .001) and with DWB in the total-effect model (β = .199, p < .001). With UG included, the direct SME→DWB path remained significant (β = .174, p = .001), whereas UG→DWB was positive but non-significant (β = .085, p = .107). The indirect effect through UG was small and its 95% bootstrap interval included zero. The model explained 9.3% of UG and 4.6% of DWB variance. Composite reliability was acceptable, although Cronbach’s alpha was below .70 and DWB AVE was marginally below .50. Contribution: The study distinguishes engagement from gratification and digital balance rather than treating social media use as a unitary exposure. The evidence supports a direct engagement-well-being association in this dataset but not a gratification-mediated mechanism.
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.
MIT News · Artificial Intelligence· news.mit.eduOct 15, 2026
AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post Building trustworthy AI: The role of AI harnesses, intent contracts and evals appeared first on GPT-Lab.
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