Toolbox & Academic Notebook in English and French #data #tech #journalism #AI #ethics #UX #dataquality #factchecking

[Research Presentation] Sociotechnical imaginaries of AI-driven journalism

For decades, journalists have had ambiguous relationships with technological innovations, perceived as promises for a brighter future in journalism, threats to professional authority and identity, or tools to augment professional practices. The growing spread of artificial intelligence systems within newsrooms adds new layers to the debates surrounding the disruptive nature of technology. How does it shape or affect the journalistic meta-discourses and representations?

[Archive] News automation: 10 recommendations to promote ethical practices

News automation can be used as a final product that will be delivered to the audiences without any journalistic mediation or as a first draft that journalists will enrich with their expertise. These recommendations aim to provide guidelines to promote ethical practices, considering that news information is a public good that commits all stakeholders to the audiences.

[Paper Presentation] A Data-Centric Approach for Trustworthy AI in Journalism

AI-driven journalism refers to various methods and tools for gathering, verifying, producing, and distributing news information. Their potential is to extend human capabilities and create new forms of augmented journalism. Although scholars agreed on the necessity to embed journalistic values in these systems to make AI systems accountable, less attention was paid to data quality, while the results’ accuracy and efficiency depend on high-quality data in any machine learning task.

[Short Note] Fairness and Transparency in AI

In machine learning, fairness is defined as the absence of bias and equal treatment. Hence, it can be approached through biased datasets and outcomes, where a dominant group is favoured to the detriment of others. Biases can be related to the training data or the implicit human values of the people involved in the programming.

Automated Fact-Checking to Support Professional Practices: Systematic Literature Review and Meta-Analysis

This study provides a comprehensive, multidisciplinary state of the art that considers a holistic and sociotechnical approach to studying automated fact-checking (AFC) from a journalistic perspective. It identifies how AFC tools, as boundary objects, connect with their end users.

Context Matters: Exploring the Multidimensional Challenges of Nordic Fact-Checkers

From information gathering to publishing fact-checks, the challenges faced by the Nordic fact-checkers are multifaceted and happen upstream and downstream of their fact-checking process.