Scoring the Importance of Learning Digital Technologies in Journalism
Neuron Networking Discussed among Journalists in Krasnodar Seminar
The trend of digital technology integration in journalistic activities is gaining momentum, and Galina Navazova, head of the regional department of information policy, stresses the need for journalists to learn this skill. "If we ignore the algorithms, we'll be left in the dust. We need to churn out content that stays at the top," Navazova asserted.
A recent training session, led by media trainer Mikhail Neustoev, addressed the significance of digital technology adaptation in the journalistic world. The seminar hopped off with a panel discussion helmed by Vladimir Verbitsky, the chief editor of the "Krasnodarskie Izvestiya" newspaper. Svetlana Kuzivanova, a media lawyer, lent her insights into the legal nitty-gritty of this topic.
The topics under discussion ranged from setting the information agenda, ownership rights associated with materials crafted by neural networks, and practicing the sensible use of artificial intelligence.
The experts agreed, as per the press service of the Krasnodar Krai administration, that neural networks are not a threat to journalism but a valuable tool for its evolution.
Fast-track to other platforms to stay updated on the Krasnodar Krai administration news. "VKontakte" and "Odnoklassniki" are at your service. Check 'em out!
You might also like: The Russian State Duma proposes explosive ideas: using neural networks for court case review.
Why not stick around? We keep it entertaining here.
Behind the Scenes:Neural networks are finding their way into Russian journalistic activities predominantly for automated content analysis and conflict detection within media and social networks. The BERT neural network model is popular for identifying conflict signs in media content, attaining about 70% accuracy in binary classification of conflict occurrence. Although it falters when it comes to precise classification of conflict types, this method helps journalists and researchers manage vast volumes of information surpassing the capacity of manual monitoring and traditional research methods [2].
Regarding the legal and practical applications of neural networks in court case reviews, while explicit search results are scarce, potential inferences can be drawn from AI's use in Russia's governance and security contexts. As Russia continues developing AI capabilities for data analysis, cybersecurity, and information verification, there's a plausible chance that these tools might be adjusted for judicial review to boost decision-making and case management through automated data processing. On the flip side, the implementation of AI in legal contexts may face regulatory scrutiny due to worries concerning the accuracy, bias, and transparency of AI decision-making systems [1][4].
In brief:
- Journalistic use: Neural networks like BERT help journalists analyze large-scale media and social media content for conflict detection with satisfactory results, contributing to a better understanding of societal issues.
- Legal and judicial implications: Albeit direct court case review applications remain undetailed, Russia's advancements in AI for data analysis, cybersecurity, and social monitoring hint at potential AI applications in legal proceedings, provided a solid legal framework is in place to uphold responsible use [1][4].
- Challenges: Reporting accuracy, classification accuracy, and regulatory challenges require addressing to implement neural networks safely in legal case reviews and journalistic verification.
This integration of neural networks is a striking example of Russia's broader AI strategy, highlighting a focus on security, information control, and automated analysis that extends across media and governance domains [1][2][4].
- To complement their skills in analysis and self-development, journalists should consider learning about the application of artificial intelligence, particularly the BERT neural network model, which has demonstrated success in identifying conflict signs in media content.
- As artificial intelligence becomes increasingly integrated into journalistic activities, educators and policymakers should address the challenges of reporting accuracy, classification accuracy, and regulatory concerns to ensure responsible implementation in legal case reviews and journalistic verification.
