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    Guide
    Intermediate
    ChatGPT
    Editors and Media Agencies
    Southeast Asia

    AI for Global News Digest & Event Summarisation

    AI News; Global Events; Media

    AI Snapshot

    The TL;DR: what matters, fast.

    • AI can aggregate and summarise news from multiple sources quickly.
    • Use a Gather → Verify → Summarise framework for reliable updates.
    • Be wary of bias and misinformation in source data.

    Perfect For

    Editors and media agencies that need to deliver concise, accurate global news to local audiences.

    Events like the LA fires, US government shutdown and hurricanes appeared in the top global news searches it. Readers in Southeast Asia want clear, contextual summaries without sifting through dozens of articles.

    Why Automate News Summaries?

    News flows faster than human teams can process. AI can help by scraping verified sources, clustering articles and extracting key points in multiple languages.

    Gather → Verify → Summarise Framework

    Gather articles from reputable outlets and wire services; verify facts using cross-referencing and fact-checking tools; summarise stories in a clear, neutral tone with regional relevance.

    Common Pitfalls

    AI may oversimplify or omit important nuances. Maintain human oversight, especially for sensitive topics, and highlight local impact when relevant.

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    Prompts

    Event Summary

    Summarise a global event

    Summarise the key developments and implications of the latest US government shutdown for readers in Malaysia. Keep the summary under 200 words and note potential economic impacts.

    Verification Aid

    Cross-check sources

    List three trusted news sources to verify reports about a wildfire in California. Explain why each is reliable.

    Localisation Tip

    Add regional context

    Rewrite a summary of Hurricane Melissa to emphasise how extreme weather in North America could affect supply chains in Indonesia.

    Frequently Asked Questions

    Ready to experiment?

    Pick one of these prompts and see where it takes you. The interesting bit is not just getting results - it is discovering what happens when you tweak the parameters or combine different approaches. If you end up with something unexpected (whether that is brilliantly unexpected or amusingly terrible), we would genuinely love to see it.

    Share your results, your variations, or the weird tangents you went down trying to get things just right. That is often where the best insights come from: the collective trial and error of people actually using these tools in practice.

    And if you found this useful, we have got plenty more practical how-to guides covering everything from creating images for your blog to helping you automate boring work tasks. Each one is built the same way: real techniques, actual examples, no fluff.

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