Keywords
multimedia content
user engagement
fact-checking
artificial intelligence
information security
personalized news
How to Cite
Abstract
Introduction. The rapid development of social media has transformed them into a leading channel for disseminating news and interacting with audiences, radically reshaping traditional journalistic standards. Within the digital ecosystem, next-generation interactive journalism integrates multimedia formats, personalization algorithms, and feedback mechanisms, establishing new models of communication.
Relevance and purpose. The growing role of social media necessitates an in-depth analysis of their impact on public discourse, professional norms, and information security. The purpose of this article is to identify the functions of social media as a space for the development of interactive journalism by analyzing the consequences of algorithmic personalization for the transformation of professional standards and ethical practices.
Methodology. The research combines systemic, comparative, content, and discourse analysis, which made it possible to trace transformations in journalistic formats and production practices in the digital environment.
Results. The study established that social media integrate textual, visual, and audiovisual resources into a single communication ecosystem, stimulate active audience participation, and ensure real-time dissemination of news. At the same time, challenges were identified in terms of misinformation, weakening of professional standards, algorithmic selection effects, and ethical risks related to privacy and user-generated content.
Conclusions. Interactive journalism in social media appears to be a combination of digital flexibility and a high level of user participation, but it requires improvement of ethical standards, the introduction of multi-level mechanisms for verifying authenticity, and the development of regulatory approaches. The scientific novelty of the work lies in the proposed cyclical model of interactive news production. Research prospects include assessing the impact of algorithmic personalization on public opinion and searching for hybrid models of interaction between journalists and their audience.
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