Center for Studies in Data and Computational Journalism (DataJor)

• Theoretical and practical objectives:
• To theoretically situate Data-Driven Journalism and Computational Journalism within the scope of Digital Journalism;
• To understand the state of the art and the development of Data-Driven Journalism in Brazil;
• To disseminate internationally the research on Data-Driven Journalism conducted in Brazil;
• To analyze audience perceptions regarding journalistic content published on digital platforms;
• To study ways to combat misinformation on digital platforms;
• To reflect, from a journalistic perspective, on ways to restore trust in the news;
• Understanding consumption habits regarding journalistic information;
• Participate in national and international conferences;
• Testing methodologies.

Topics of interest:

• Data-Driven and Computational Journalism;
• Methodological transparency in journalism;
• Misinformation;
• Fact-checking;
• News avoidance.

Methodologies:

• Mixed methods (quantitative and qualitative);
• Content Analysis;

Audience study.