| Module Title |
Journalism Practice: Digital Storytelling |
| Module Code |
JRR1033 (ITS: CM5971) |
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Faculty |
Communications |
School |
Humanities & Social Sciences |
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NFQ level |
9 |
Credit Rating |
15 |
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Description
This is a companion course to CM5969 in Semester 1. It is a similarly intensive, practice-based course focused on the use of digital technologies (video, digital video, radio) to create journalism content and to tell journalistic stories.
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Learning Outcomes
1. Record, edit and publish news videos
2. Record, edit, and publish audio content related to the news
3. Locate, download, manipulate datasets related to news stories
4. Produce data visualisations based on large datasets
5. Identify and critically analyse the multimedia content strategies of news organisations
6. Identify story opportunities suitable for reporting in audio or video formats
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| Workload | Full time hours per semester | | Type | Hours | Description |
|---|
| Lecture | 132 | Lectures take place over three days each week, and last three hours each. In week 13, Newsdays are full, 8-hr working days. | | Fieldwork | 40 | Students record audio and/or video in the field for use in class editing and discussion exercises | | Independent Study | 203 | No Description |
| Total Workload: 375 |
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| Section Breakdown | | CRN | 20583 | Part of Term | Semester 2 | | Coursework | 0% | Examination Weight | 0% | | Grade Scale | 40PASS | Pass Both Elements | Y | | Resit Category | RC1 | Best Mark | N | | Module Co-ordinator | Colleen Murrell | Module Teacher | Conor Tiernan, David Robbins |
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| Assessment Breakdown |
| Type | Description | % of total | Assessment Date |
|---|
| Participation | Evaluation of students' participation in class discussions and activities and engagement with VLE resources | 5% | Week 12 | | In Class Test | Written test to evaluate students' knowledge and understanding of radio reporting strategies and techniques | 15% | Week 4 | | In Class Test | Written test to evaluate students' understanding of news video production techniques and practices. | 15% | Week 9 | | In Class Test | Written text to evaluate students' ability to source public datasets, to import and clean up data, to identify story angles from datasets, and to produce data graphics and other visualisations based on datasets. | 15% | Week 11 | | Digital Project | Students are required to produce a substantial piece of journalism which includes video/audio and data journalism elements | 50% | Week 12 |
| Reassessment Requirement Type |
Resit arrangements are explained by the following categories;
RC1: A resit is available for both* components of the module.
RC2: No resit is available for a 100% coursework module.
RC3: No resit is available for the coursework component where there is a coursework and summative examination element.
* ‘Both’ is used in the context of the module having a coursework/summative examination split; where the module is 100% coursework, there will also be a resit of the assessment
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Pre-requisite |
None
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Co-requisite |
None |
| Compatibles |
None |
| Incompatibles |
None |
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All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml
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Indicative Content and Learning Activities
Weeks 1-4 - Radio Journalism
Students learn to write, record and edit news stories and current affairs stories and to critique podcasts and news programmes.
Weeks 5-9 - video journmalism
Students learn to examine the context within which television/video journalism occurs and gain an understanding of the basic skills employed by TV journalists. They learn to critically evaluate TV journalism reporting and scheduling, and to explore the relationship of TV journalism to new forms of media.
Weeks 10-11 - Data Journalism
Students will gain a solid basic understanding of the tools available and possibilities of data
journalism. Besides learning about the basics of this increasingly vital discipline, students will learn how data is used in the media industry today, where to locate data, how to clean and analyze it critically, and how to optimise the presentation of information for maximum readability and interactivity. This module element also gives students a thorough grounding in the use of common tools including spreadsheets and presentation. The module element focuses particularly on using visualisation to effectively communicate data sets. Students will apply these principles and tools in telling journalistic stories.
Week 12 - Masterclasses
3 x 3hr sessions in which working journalists give presentations and workshops on new trends and practices in newsrooms
Week 13 - Newsdays
3 x full day newsroom simulations in which students work as a newsroom team to produce TV and radio programmes covering the news of the day.
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Indicative Reading List
Books:
- Liliana Bounegru and Jonathan Gray: 2021, The Data Journalism Handbook, Amsterdam University Press, 0, 978946298951
- Peter Stewart,Ray Alexander: 2021, Broadcast Journalism, Routledge, 406, 9780367460464
- Siobhan McHugh: 0, The Power of Podcasting, 9780231208772
- Andrew Boyd: 2001, Broadcast Journalism, Taylor & Francis, 470, 0240515714
Articles:
- Siobhan McHugh: 0, Subjectivity, hugs and craft: Podcasting as extreme narrative journalism, Nieman Storyboard, https://niemanstoryboard.org/stories/subjectivity-hugs-and-craft-podcasting-as-e xtreme-narrative-journalism/, 58728
- 2016: Researching the Podcast Audio Storytelling Genre, The Radio Journal International Studies in Broadcast and Audio Media, 14 (1), https://www.researchgate.net/publication/305728362_How_podcasting_is_changing_th e_audio_storytelling_genre,
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Other Resources
None |
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