At the recent International Scientific Conference with the theme "Press - Media in the context of artificial intelligence (AI) development", Dr. Nguyen Thi Tuyet Minh, Institute of Journalism - Media, Academy of Journalism and Propaganda announced a survey of 240 journalists showing that: 96.3% have used AI at various levels. Accordingly, 12.9% experimented, 22.5% did not regularly, 28.8% when needed and 31.3% regularly. The group under 2 years had the highest rate of regular use (39.2%), the group over 10 years used selectively (31.7% when needed), the group 3 - 10 years tended to experiment (17.7%). The above statistics reflect that AI adaptation depends on experience.
Chart of AI usage being used by journalists
The survey found that AI was most commonly used for data analysis (30%), headline suggestions (25%), and content summarization (26.7%). The level of use of these applications varied by seniority. Accordingly, the group with less than 2 years preferred headline suggestions, the group with 3-10 years prioritized data analysis, and the group with more than 10 years used AI more evenly.
The high adoption of AI in journalism reflects a global trend, with 75-85% of news organizations experimenting with it and 81.7% of journalists using it regularly. However, AI integration is uneven due to barriers to access to technology, policy, and training.
Perceptions of AI’s impact on journalism creativity are mixed. About 27.5% see AI as significantly improving performance, while 30.8% see it as only helping a little. However, 15% are concerned about dependency and 10.8% think AI will reduce inspiration. Those with less than 10 years of experience have a more positive view than those with more than 10 years, who are more concerned about dependency and loss of individuality.
The survey found that journalists are still cautious about AI content. The majority (59.6%) believe that it needs to be thoroughly verified, while only a small percentage trust it completely (1.7%) or somewhat (11.3%).
Length of service influences trust. Those with more than 10 years are cautious but have the highest absolute trust, while those with less than 2 years are more concerned. Trust is low due to concerns about accuracy, lack of verification, and depth of content. As the public struggles to discern AI content, journalists’ responsibility for verification increases, requiring appropriate policies and training.
The survey shows limitations in AI training in journalism. Accordingly, only 11.7% have received formal training, 40.8% are self-taught informally (highest), 11.7% are self-taught systematically, 10.8% know through colleagues, 9.2% have not had access. The group over 10 years has the highest rate of formal training (24.4%), the group under 2 years mainly self-taught informally (38%) or have not had access (20.3%). This gap reflects the digital capacity gap between generations, affecting the effectiveness of AI application.
The study proposes recommendations for integrating AI into journalism responsibly and effectively. Accordingly, training institutions and newsrooms should consider implementing specialized AI programs, including: Basic knowledge (algorithms, deep learning, advantages and disadvantages of AI); Practical skills (using AI for transcription, translation, data analysis, generative AI); Critical thinking and AI information verification (recognizing "illusions", checking for accuracy, detecting bias); Handling ethical issues related to AI; Integrating AI into journalism curricula, integrating into journalism training modules (information gathering, writing, editing, professional ethics)...
Source: https://baobinhphuoc.com.vn/news/9/174015/people-who-make-reporters-use-artificial-intelligence-the-most-for-data-analysis
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