Data Journalism: The Power of Data in Media and Communication
A special issue of Journalism and Media (ISSN 2673-5172).
Deadline for manuscript submissions: closed (31 March 2024) | Viewed by 14242
Special Issue Editors
Interests: information technology in journalism; new media; course support environments; data journalism; open data; distance learning; content verification; algorithmic journalism
Special Issues, Collections and Topics in MDPI journals
Interests: intelligent systems; open data; data science; data journalism; knowledge graphs; machine learning; semantic web
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In today's continuously changing world, with breaking news, fake news, and news automation, data journalism which includes the collection, analysis, and publication of news articles that are based on data, becomes more important than ever before. However, data journalism is still developing at different speeds in different parts of the world. For example, in many Western hemisphere counties (USA, United Kingdom, Germany, and the Nordic countries) data journalism is considered to be at a maturation stage, but in other countries, data journalism is still at an initial stage of development or it does not exist. At the same time, the production of data is increasing exponentially since the digitization of our society is increasing and the value of the data is acknowledged at a world level. It is also worth mentioning that other parameters (cognitive, emotional, cultural) that affect data journalism perception have also started gaining attention. Many cases of leaked data, which have led to transnational data journalism projects that gain high publicity, have occurred in the last decade. This trend is expected to increase and intensify. Furthermore, new opportunities (i.e., chatbots, web analytics, etc.) for collecting data from journalists are now available, thus increasing the available data sources. Moreover, with data increasingly stored in extraordinary volume, investigative journalists can and have been using extraordinary data analysis such as machine learning techniques.
In this context, this Special Issue of Journalism and Media will focus on theoretical, empirical, and geographical aspects of data journalism. This includes every aspect of data journalism (collecting, cleaning, analyzing, studying, visualizing, reporting, perceiving, understanding) and any issue that is related to data journalism and data visualization as well. Papers analyzing the state of data journalism in various countries or parts of the world are also welcomed.
Prof. Dr. Andreas Veglis
Dr. Charalampos Bratsas
Guest Editors
Manuscript Submission Information
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Keywords
- data journalism
- visualization
- data collection
- data analysis
- data journalism perception
- data visualization perception
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