In this article you will learn:
- How to use AI in journalistic research.
- Which model errors and hallucinations to watch out for.
- Which AI model to choose for a specific investigative task.
- Which AI tools are useful in investigative work.
d-tags
In this article you will learn:
AI can be an enormous help to a journalist at the research stage. The keyword here is “help”. Artificial intelligence should be used as a supporting tool and a starting point for further investigation, not as the final answer.
AI models can work with extensive data sets, both those pulled from the internet and those uploaded by the user. They can analyze them at lightning speed and pick out the most important information.
Deep Research, also called DeepSearch, is a particularly useful AI tool for an investigative journalist. Unlike an ordinary conversation, it works like an autonomous agent that takes a topic, searches the available sources on its own, cross-references specific pieces of information, and comes back with a finished report after several minutes or a dozen or so. The file is structured and includes links to sources, which makes it easier for the journalist to verify the information.
Where to find the Deep Search feature in practice?
These mechanisms work on the same basis, but they differ in details such as the number of sources searched or how long they run, which is why it is worth testing several of these tools. Pick one topic, assign it to different models, and then compare their results to see which tool hallucinates more often.
Artificial intelligence makes mistakes, which is why it should not replace research entirely but only streamline it. AI can be as dangerous as it is helpful, so the information, advice, and facts it provides need to be verified on your own.
This is especially dangerous in the work of an investigative journalist, where the reputation and good name of the people in the story are at stake, because an error like this can carry serious consequences.
Most artificial intelligence models cite the sources behind their answers, but it may turn out that the article they point to does not exist or does not contain the information they presented.
Learn how to find information and check its reliability so that you do not fall into the trap of AI hallucinations.
Not every model will suit a given task. When choosing a tool, pay attention to a few criteria:
There is no single universal AI model that can be called the best, because the choice depends on the specific goal the journalist wants to achieve. The table below shows how four popular tools perform against typical investigative tasks.
| Criterion | Claude | ChatGPT | Gemini | Perplexity |
|---|---|---|---|---|
| Data recency | Good with web search enabled | Good with search enabled. Strong integration with the internet | Very good. Integrated with Google Search | Very good. Works like an AI-based search engine |
| Working with long case files | Very good | Good, but dependent on the selected model and plan | Very good, one of the largest context windows on the market | Limited, the tool is geared more toward synthesizing many shorter sources |
| Source citation | Cites sources when searching the web | Cites sources when searching the web | Cites sources, integrated with search results | Every answer comes with links to sources by default |
| Working with files (PDFs, spreadsheets, images) | Very good, especially when analyzing documentation, reports, and tables | Very good, broad format support | Good, integrated with Google Workspace | Considerably more limited than the other models |
| In-depth analysis of a single document | Very good at understanding context and nuance in a text | Good | Good, especially with very long materials | Weaker, the model is geared toward broad scanning of the web |
| What to use it for in an investigation | Analyzing case files, contracts, and reports; drawing hidden conclusions from long materials | All-round research work and text analysis | Working with very large document sets and within the Google ecosystem | Quickly checking current facts and preliminary research with ready-made sources |
Remember that the capabilities of these tools change with every update and that many options depend on the specific subscription plan, so treat this table only as a point of reference when choosing the right AI model for a given task.
Data privacy, sensitive materials, and previously unpublished facts are fundamental to a journalist’s work. Confidential information should not end up in AI models, especially when their data processing policy is unclear. Ideally, the content you hand to artificial intelligence for analysis should not contain information that could endanger the safety of third parties once it is made public.
Accuracy is one of the most important qualities of a good journalist, which is why every piece of information obtained from AI models requires double verification.
Artificial intelligence can meaningfully speed up the work of investigative journalists by analyzing huge data sets quickly, finding the sources they need, and spotting specific patterns that a human may miss. AI should not replace a journalist’s work, though; it should strengthen and streamline it. The key is to understand and recognize the models’ limitations and to verify the content they deliver.
AI is a powerful supporting tool in more than just journalism. Do you want to implement AI safely in your company but worry about making costly mistakes? Do not put your brand image at risk. Trust Delante! We know how to use artificial intelligence safely.
We will create reliable, in-depth, and 100% fact-checked AI-friendly content for you
Check out our offer!
AI models tend to “hallucinate.” The biggest threat is invented quotes, words attributed to the wrong people, and links to articles or sources that do not exist. Using data like this without checking it creates an enormous risk to the journalist’s reputation and to the good name of the people in the story.
No. For ethical reasons and for the safety of sources, you should not upload confidential materials, sensitive data, or unpublished facts to AI models. The data processing policies of AI developers are often unclear, and a leak of such information could put third parties at risk.
Claude (which understands context and hidden nuance in a single long file very well) and Gemini (which has an enormous context window, ideal for large sets) are best suited to working with very long documents. Tools such as Perplexity handle in-depth analysis of long files less well, because their main purpose is scanning the web in real time.