{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,22]],"date-time":"2025-11-22T12:19:36Z","timestamp":1763813976507,"version":"build-2065373602"},"reference-count":59,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2025,2,8]],"date-time":"2025-02-08T00:00:00Z","timestamp":1738972800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journalism and Media"],"abstract":"<jats:p>Artificial intelligence has made its mark on the media industry in Romania, and television is one of the sectors most affected by its development. This paper analyzes through a quantitative method the impact of artificial intelligence (AI) on television from the perspective of media industry professionals in Romania. The research was conducted usinga quantitative method based on a structured questionnaire. The study focuses on the responses of 128 journalists working in local and national TV stations directly involved in content creation and editorial or production processes. We selected this sample because media specialists have the knowledge to express informed opinions on this subject. The survey results show that artificial intelligence is increasingly used in Romanian newsrooms. Television professionals believe that artificial intelligence tools are helpful and that they can improve the quality of content. However, at the same time, there are serious concerns about the possibility that jobs could be affected. In addition, the risk of misinformation is growing with the increasing use of artificial intelligence tools. Findings suggest that strategic, industry-wide regulations and ethical guidelines are essential to balance AI adoption while safeguarding media integrity. This research may serve media organizations, policymakers, and academia in formulating informed approaches toward AI.<\/jats:p>","DOI":"10.3390\/journalmedia6010022","type":"journal-article","created":{"date-parts":[[2025,2,10]],"date-time":"2025-02-10T05:53:22Z","timestamp":1739166802000},"page":"22","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["The Role of Artificial Intelligence in Romanian Broadcasting: Opportunities and Challenges"],"prefix":"10.3390","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6929-1614","authenticated-orcid":false,"given":"\u0218tefan","family":"Vl\u0103du\u021bescu","sequence":"first","affiliation":[{"name":"The Department of Communication and Education Sciences, Faculty of Letters, University of Craiova, 200764 Craiova, Romania"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0183-722X","authenticated-orcid":false,"given":"Georgiana Camelia","family":"St\u0103nescu","sequence":"additional","affiliation":[{"name":"The Department of Arts and Media, Faculty of Letters, University of Craiova, 200764 Craiova, Romania"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,2,8]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"114435","DOI":"10.1109\/ACCESS.2024.3435497","article-title":"Fake news detection using deep learning: A systematic literature review","volume":"12","author":"Alnabhan","year":"2024","journal-title":"IEEE Access"},{"doi-asserted-by":"crossref","unstructured":"Argaw, D. 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