3 Use Cases of AI-Automated News Clipping
Recommended for
- Companies that want to automatically collect, classify, and summarize news with AI
- Those that want to raise the accuracy and efficiency of news recommendation and desking — press companies
- Those that want to pick out market-moving news and receive a report — securities firms
In an era overflowing with information like today,
'accurate information' — collecting it, and 'classifying it accurately' — is very important.
What if a press company recommended news tailored to each individual,
or, so you can see keyword-based news at a glance, AI automatically summarized the key content for you?
In particular, in fields where objective material matters, like securities, using news from credible outlets will be important.
Today, let's look at
3 cases that used AI to automate news clipping, recommendation, and summarization.
<CONTENTS>
1. News personalization & desking automation AI
2. AI stock-market briefing report
3. Keyword-based news clipping & summarization AI
1) News personalization & desking automation AI
media and press companies — here's a news-personalization-recommendation & desking-automation AI solution for them.
Why is it needed?
Among the hundreds of articles pouring in daily, they had to decide news classification and exposure criteria by hand, which consumed excessive time and manpower.
A staff member had to classify a large volume of news one by one and decide whether to expose each, taking a lot of time and risking human error.
Previously, only a simple rule-based news-recommendation tab was offered, and it was hard to segment interests by user.
How was it solved?
Personalized news recommendation
AI analyzes news-article data to cluster the news, then analyzes metadata such as each user's news-viewing history and interests to provide a personalized news-article recommendation list for each user.
By upgrading the once simple rule-based recommendation tab with an AI algorithm, it can reflect users' tastes more precisely.
Users can quickly find news of high interest, improving satisfaction and dwell time.
AI desking automation
AI automatically groups new news every 5 minutes and suggests whether to expose it and its priority.
Staff can look at the draft AI created on the admin site and focus only on final review and approval, greatly improving operational efficiency and accuracy.
2) AI stock-market briefing report
financial information service companies — here's an AI market-briefing report solution for them.
Why is it needed?
Before and after the stock market opens, investors want to quickly check comprehensive market-briefing information.
But a format that directly predicts stock prices carries big risk for the company too, so there was high demand for an approach that summarizes objective, broad market information based on credible news outlets to help investors judge for themselves.
Given the nature of the stock market, real-time updates are essential, so having people select and summarize news one by one had its limits.
How was it solved?
Automatic news collection using press/stock keyword lists
From Asian markets like Korea, China, and Japan to the U.S. market, it collects related news divided by outlet and time zone.
It divides stock-market keywords into 14 categories (e.g., economic indicators, foreign exchange, investment products), and subdivides each into positive, negative, and neutral keywords to classify news and decide whether to collect it.
Generates a summarized report by category twice a day
It builds categories like theme stocks, stock-market trends, and alternative-asset trends, and places market-briefing info and related news (headlines, brief summaries) in each.
Around when the Korean/U.S. stock markets open and close (morning/afternoon), it collects news data and generates a report for each to maintain real-time relevance.
3) Keyword-based news clipping & summarization AI
For software companies looking to add a news-clipping feature, here's a news-clipping & summarization AI solution.
Why is it needed?
There was high demand to quickly check news every day — for employees to grasp industry trends, or as a personal daily routine.
For this, they wanted to clip and provide, each morning, the news related to keywords of interest along with a 2-line summary.
Separate from each outlet's desking, they wanted to implement a clipping feature customized to a company or individual, in-house and without manual work.
How was it solved?
News data collection and filtering
Every morning, AI automatically collects news articles containing the needed keywords.
AI filters out duplicate news and judges importance by customized criteria to select the key news.
Automatic update and summary
Once you register interest keywords by team and role, news is automatically updated every day without manual work.
AI condenses the article body into 2–3 lines so users can grasp the key content at a glance.
In closing
News-clipping AI can not only automatically collect news, but also
be used to automate existing work or differentiate your company.
✅ Press companies can improve operational efficiency and differentiate with personalized services,
✅ Financial services can quickly deliver key market briefings to investors,
✅ Inside a company, you can raise work efficiency and strengthen information access.
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Serin Choi
