Global Certificate Course in Data Journalism Ethics for Digital Media
-- viewing now**Data Journalism Ethics** for Digital Media This course is designed for aspiring data journalists and digital media professionals who want to navigate the complexities of data-driven storytelling. Through a series of interactive modules, learners will explore the principles of data journalism ethics, including data quality, source verification, and transparency.
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About this course
Some key topics covered include:
data protection and privacy, conflict of interest, and fact-checking.
By the end of the course, learners will be equipped with the knowledge and skills to produce high-quality, ethical data journalism.
Join our community of data journalists and digital media professionals and start exploring the world of data-driven storytelling today!
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Course details
•
Data Protection and Privacy: Understanding the importance of protecting sensitive information, including personal data, and the role of data protection laws and regulations in journalism. •
Fact-Checking and Verification: Developing skills to critically evaluate sources, identify biases, and verify information to maintain the integrity of data journalism. •
Source Management and Confidentiality: Learning how to manage sources, maintain confidentiality, and balance the need for information with the need to protect sources and their identities. •
Digital Footprint and Online Safety: Understanding the risks of online activities, managing digital footprints, and taking steps to ensure online safety and security. •
Bias and Objectivity in Data Journalism: Recognizing and addressing biases in data journalism, including implicit biases, and developing strategies to maintain objectivity and impartiality. •
Data Visualization and Presentation: Learning how to effectively present complex data through visualization techniques, including the use of infographics, charts, and other visual aids. •
Data Storytelling and Narrative Techniques: Developing skills to craft compelling narratives around data, including the use of storytelling techniques, character development, and emotional resonance. •
Collaboration and Co-creation: Understanding the importance of collaboration between journalists, data scientists, and other stakeholders in data journalism, including co-creation and participatory approaches. •
Ethics of Algorithmic Decision-Making: Examining the ethics of algorithmic decision-making, including the potential biases and risks associated with automated systems, and developing strategies to mitigate these risks. •
Data Journalism and Social Impact: Exploring the potential of data journalism to drive social change, including the role of data journalism in exposing injustices, promoting transparency, and advocating for human rights.
Data Protection and Privacy: Understanding the importance of protecting sensitive information, including personal data, and the role of data protection laws and regulations in journalism. •
Fact-Checking and Verification: Developing skills to critically evaluate sources, identify biases, and verify information to maintain the integrity of data journalism. •
Source Management and Confidentiality: Learning how to manage sources, maintain confidentiality, and balance the need for information with the need to protect sources and their identities. •
Digital Footprint and Online Safety: Understanding the risks of online activities, managing digital footprints, and taking steps to ensure online safety and security. •
Bias and Objectivity in Data Journalism: Recognizing and addressing biases in data journalism, including implicit biases, and developing strategies to maintain objectivity and impartiality. •
Data Visualization and Presentation: Learning how to effectively present complex data through visualization techniques, including the use of infographics, charts, and other visual aids. •
Data Storytelling and Narrative Techniques: Developing skills to craft compelling narratives around data, including the use of storytelling techniques, character development, and emotional resonance. •
Collaboration and Co-creation: Understanding the importance of collaboration between journalists, data scientists, and other stakeholders in data journalism, including co-creation and participatory approaches. •
Ethics of Algorithmic Decision-Making: Examining the ethics of algorithmic decision-making, including the potential biases and risks associated with automated systems, and developing strategies to mitigate these risks. •
Data Journalism and Social Impact: Exploring the potential of data journalism to drive social change, including the role of data journalism in exposing injustices, promoting transparency, and advocating for human rights.
Career path
| **Career Role** | Description | Industry Relevance |
|---|---|---|
| Data Journalist | Responsible for collecting, analyzing, and presenting data in a clear and concise manner to tell a story. | High demand in the UK, with a salary range of £25,000-£40,000. |
| Data Analyst | Analyzes data to identify trends and patterns, and presents findings in a clear and concise manner. | In high demand in the UK, with a salary range of £30,000-£50,000. |
| Storyteller | Responsible for creating engaging stories using data, and presenting them in a clear and concise manner. | In high demand in the UK, with a salary range of £25,000-£40,000. |
| Investigative Journalist | Responsible for conducting in-depth research and investigations to uncover hidden stories and facts. | In high demand in the UK, with a salary range of £30,000-£50,000. |
Entry requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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GLOBAL CERTIFICATE COURSE IN DATA JOURNALISM ETHICS FOR DIGITAL MEDIA
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London School of Planning and Management (LSPM)
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05 May 2025
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