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Abstract: The rise of Artificial Intelligence (AI) streamlines social media content generation, with ChatGPT sparking a surge in generative AI models. This impact is crucial for businesses enhancing digital marketing and researchers studying AI's role in this realm. Marketing agencies and business leaders are actively engaging in the AI race with tailored models. Amid the multitude of applications, discerning, understanding, and effectively integrating appropriate tools into business practices are increasingly complex tasks. This paper addresses two questions: first, the potential of ChatGPT's current version to transform social media content creation for micro-businesses, and second, the initial observations and changes in user experience over an extended use period. To answer the questions, we used a case study approach within the framework of Experiential Learning Theory (ELT), coupled with contextual inquiry research to reduce bias. Data from 15 specific ChatGPT interactions highlight its capabilities in fostering creativity for resource-strained micro-enterprises. This tool proves valuable for businesses without a designated social media marketing team, allowing them to consistently produce high-quality content, aim higher, and alleviate the pressure of finding perfect ideas for scaling in a competitive marketplace. ChatGPT serves as an ally, enhancing human capabilities and offering a transformative solution for micro-enterprises in content creation and marketing, however, there are limitations and concerns to be addressed.
Keywords: content creation, ChatGPT, social media, marketing
Published in DKUM: 20.01.2026; Views: 0; Downloads: 0
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Abstract: The spread of health-related misinformation on social media has increased user efforts to tackle emerging risks. In this study, we provide a model on how users’ perceptions of risk when encountering possibly fear-inducing pandemic misinformation influenced their intent to fact-check it. We employed an online survey to collect the data among adult Facebook users. The model was tested using structural equation modelling. Unlike previous risk perception models, we found a positive effect of cognitive risk perception on the intentions of social media users to utilise internet tools for verifying the accuracy of information. The results also revealed that the more emotional risk users perceived, the more they intended to use ample sources, and, indirectly, also to use tools for verifying information. Furthermore, the participants demonstrated a greater propensity to utilise online fact-checking tools as their intention to explore many information sources increased. Our study contributes to the field by connecting cognitive and emotional risk perception with multi-faceted fact-checking in social media, where both individual fact-checking practices and information-seeking behaviour merge. It also contributes to human information behaviour research, by highlighting higher concerns with disease danger as possible user characteristics for motivated misinformation debunking. Thus, our findings may aid health practitioners and risk communicators in assessing how to target and educate, especially individuals with low-risk perception. Finally, we call on the general public and legislators to recognise the invaluable role of providing online information accurately as a crucial part of the strategic communication agenda.
Keywords: risk, fact-cheking, misinformation, pandemic, social media
Published in DKUM: 08.12.2025; Views: 0; Downloads: 1
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Abstract: A survey was conducted in November 2023, involving 554 Slovenian parents and their preschool-aged children. The survey aimed to investigate the following: (i) the way parents and their preschool-aged children employ social media and digital technology; (ii) the parents’ comprehension of the term “information bubbles”, and (iii) the parents’ awareness of recommendation systems. Parental and child digital technology patterns and behaviours are correlated, according to the findings. The results suggest that most parents have a restricted understanding of the operational mechanisms of recommendation systems and how they contribute to the construction of “information bubbles.”
Keywords: recommendation systems, parents and preschool children, digital technology, social media
Published in DKUM: 29.07.2025; Views: 0; Downloads: 6
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Abstract: Background Social media (SoMe) is expanding globally, with increasing adoption in research, including resuscitation science. Its widespread reach and growing influence make it a valuable tool for research and knowledge dissemination. We aimed to assess the utilization of SoMe, highlight its applications, and identify future research areas, specifically in data collection and analysis, education and training, and professional networking and collaboration. Methods Embase, Scopus, and PubMed were searched through October 30th, 2024. Titles and abstracts were screened, and duplicates removed. The PCC (Population, Concept, and Context) framework defined the population as SoMe users, the concept as adult BLS-related content, and the context as SoMe platforms used for data analysis, data collection, teaching, campaigns, communication, and sharing, excluding traditional media. Results The search yielded 5,427 articles, with 201 undergoing full-text review and 42 included. Most studies were from high-income countries (19/42; 45%) and had a cross-sectional design (16/42; 36%). SoMe was primarily used for data analysis (17/42; 41%) and data collection (16/42; 36%). YouTube and X were the frequently applied SoMe platforms (12 studies each; 29%), while Instagram and WhatsApp supported diverse applications. In contrast, Snapchat and TikTok were used less frequently and for narrower purposes. Conclusions Existing studies focus on data collection and analysis, mainly via YouTube and X, but inconsistencies in design and geography call for standardized reporting to enhance comparability and impact. Future studies could standardize reporting on SoMe applications in adult BLS using established frameworks to ensure comparability and effectiveness.
Keywords: Social media, Platforms, Adult basic life support, Application
Published in DKUM: 21.07.2025; Views: 0; Downloads: 6
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Keywords: vaccine hesitancy, online media, assortative mixing, personal network analysis, social network analysis, vaccination, health information
Published in DKUM: 21.03.2025; Views: 0; Downloads: 5
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