Artificial Intelligence in Journalism: Examining Prospectus and Obstacles for Students in the Domain of Media
Muhammad Husnaina, Muhammad Ali Imrana, Hannan Khan Tareenb
- aUMT, Sialkot
- bIslamia University of Bahawalpur
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Abstract
This research explores the scope of AI use in journalism education from different perspectives. The results of the survey showed that there was widespread optimism among respondents about what AI could do for journalism. Some people had to express dissent or at least a neutral position on these points. AI in journalism has become a big topic within the media world today. Concerning AI, the study aims to find out about future students' prospects for careers in media. Literature explored that cross-industry skills and techno-genic aptitude are essential to allow future journalists to meet these challenges successfully. One of the findings from this data analysis was a broad consensus that Artificial Intelligence (AI) influences seven work aspects related to journalism: data management, trend observance and identification, interactive enrichment, fact checking, and targeted advertisement. Despite this, there was a broad division of opinion over how far and to what end AI can go in these areas. It warranted further examination.
TL;DROne of the findings from this data analysis was a broad consensus that Artificial Intelligence influences seven work aspects related to journalism: data management, trend observance and identification, interactive enrichment, fact checking, and targeted advertisement. (Semantic Scholar)