DATA JOURNALISM

Course Information
TitleDATA AND PARTICIPATORY JOURNALISM / DATA JOURNALISM
CodeEUJ209
FacultySocial and Economic Sciences
SchoolJournalism and Mass Communications
Cycle / Level2nd / Postgraduate
Teaching PeriodSpring
CoordinatorAndreas Veglis
CommonYes
StatusActive
Course ID600013107

Programme of Study: Master of Arts in Digital Media, Communication and Journalism-R

Registered students: 5
OrientationAttendance TypeSemesterYearECTS
European JournalismElective Course belonging to the selected specialization (Elective Specialization Course)2110
Digital Media, Culture and CommunicationElective Courses2110
Risk Communication and Crisis JournalismElective Course belonging to the selected specialization (Elective Specialization Course)2110

Class Information
Academic Year2025 – 2026
Class PeriodSpring
Faculty Instructors
Instructors from Other Categories
Weekly Hours3
Total Hours39
Class ID
600293270
Course Type 2021
Specialization / Direction
Mode of Delivery
  • Face to face
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
  • English (Instruction, Examination)
Prerequisites
General Prerequisites
none
Learning Outcomes
-Define the core concepts of data journalism -Working efficient with data sets -Build on data visualization with advanced web tools -Define the core concepts of participatory journalism -Recognize participatory tools and applications -Manage user-generated content in a media environment
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Work autonomously
  • Work in teams
  • Work in an international context
  • Work in an interdisciplinary team
Course Content (Syllabus)
The course deals with the topics of data and participatory journalism. Today there is a significant availability of data in digital form, which makes necessary the introduction of this form of journalism. Thus, the journalist must be able to find, extract, adapt, visualize and interpret data. In order to succeed in such a task he must possess all the theoretical knowledge concerning data manipulation as well as the necessary ICT skills in order to create data visualizations (static or interactive) that will be embedded in his news articles. As journalism is often approached in theory and research through the lens of audience participation in news production, this course approaches the concept of participation in the media and examines the existing tools in the context of news organizations. Examples of participatory journalism in Greek and international media are analyzed, while the issues that arise and the management methods applied in practice are also studied. Finally, the course provides the opportunity of empirical use and familiarization with participatory applications.
Keywords
data journalism, participatory journalislism, data, visualizations, participation, tools, platforms
Educational Material Types
  • Notes
  • Slide presentations
  • scientific papers
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Communication with Students
  • Use of ICT in Student Assessment
Description
Use of powerpoint during the teaching of the course. Provision of additional material through the elearning.auth.gr platform (moodle). Communication with students via email and the communication tools provided by the elearning.auth.gr platform. Submission of assignments and presentations on the elearning.auth.gr platform
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures30
Reading Assigment45
Written assigments160
Online research40
Total275
Student Assessment
Description
Participation - 40% Project Participative journalism – 30% Project Data journalism – 30%
Student Assessment methods
  • Written Assignment (Formative, Summative)
  • Oral Exams (Formative, Summative)
Bibliography
Additional bibliography for study
The Data Journalism Handbook 2, Jonathan Gray Liliana Bounegru, https://bit.ly/DataJournalismHandbook2_EN Data Journalism Handbook, Jonathan Gray, Liliana Bounegru, Lucy Chambers, https://bit.ly/DataJournalismHandbook1_EN Interactive Data Visualization for the Web, Scott Murray, O Reilly 2010. Data Journalism: Mapping the future, John Mair, Richard Lance Keeble, Abramis Academic Publishing, 2014. Data Journalism Heist, Paul Bradshaw, LeanPub 2013. Scraping for Journalists, Paul Bradshaw, LeanPub 2014. Finding Stories with Spreadsheets, Paul Bradshaw, LeanPub, 2015 Ahva, L. (2019). Five things we should learn from the messiness of participation. Journalism Practice, 13(8), 936-940. https://doi.org/10.1080/17512786.2019.1647115 Borger, M., van Hoof, A., & Sanders, J. (2016). Expecting reciprocity: Towards a model of the participants’ perspective on participatory journalism. New Media & Society, 18(5), 708-725. https://doi.org/10.1177/1461444814545842 Carpentier, N. (2016). Beyond the ladder of participation: An analytical toolkit for the critical analysis of participatory media processes. Javnost - The Public, 23(1), 70-88. https://doi.org/10.1080/13183222.2016.1149760 Engelke, Κ. M. (2019). Online participatory journalism: A systematic literature review. Media and Communication, 7(4), 31-44. https://doi.org/10.17645/mac.v7i4.2250 Saridou, T. & Veglis, A. (2021). Exploring participatory journalism through the integration of user-generated content in media organizations. In M. Khosrow-Pour (Ed.), Encyclopedia of Information Science and Technology, 5th edition, (pp. 1152-1163). IGI Global. https://doi.org/10.4018/978-1-7998-3479-3 Singer, J. B., Hermida, A., Domingo, D., Heinonen, A., Paulussen, S., Quandt, T., Reich, Z., & Vujnovic, M. (2011). Participatory journalism. Guarding open gates at online newspapers. West Sussex: Wiley-Blackwell.
Last Update
20-11-2023