About WorldWideWeed and its method

WorldWideWeed keeps you informed about news around Cannabis products. Our news website does not use an RSS-feed of sources, but instead uses a unique search system which searches the internet with its own robots. With the use of this system it also reaches sources that no RSS-feed makes available.

Robots and language

Algorithms and advanced software provide the results. Every day our robots scan more than 150.000 news sources around the world. This produces, with all installed search trends, approximately 750.000 articles.

These articles are not only written in Dutch and English, but also French, German, Italian, and also for example Chinese, Russian and Turkish. For the time being WorldWideWeed is limited to Dutch and English.


Approximately 2500 messages are within the target of WorldWideWeed on a daily basis. A specific search trend, targeting for cannabis subjects, filters all the visited sources. Needless to say, that a news item sometimes occurs at multiple sources. The editors of WorldWideWeed therefore always check the results. This follows a selection of items which the editors then curates.

Full texts

In most cases the robots WorldWideWeed uses, bring in the whole item. Of that only a limited part of the item is displayed on the website. This is restricted to approx. 30-50 words in many cases. However, the integral, full text is available, also about all kinds of other subjects. We can even go back up to 10 years because the international scanning project started then.

Analysis and reporting

Special software analyses all items, not restricted to WorldWideWeed, for diverse purposes. This involves simple calculation programs, for example to get quick insight into named persons and organisations. Other software filters use terms and analyses these with semantic technologies. This is done to, for example, determine the ambiance of an item. In this way we are able to see for each specific company how many times the company or brand name has been in the news in a positive, neutral or negative way.

Sample report

As an example: sample report (in Dutch) (pdf). The sample report uses a report for WorldWideWeed for the period of the 3th of February to the 9th of February 2019.

Example graphs

A word cloud displays the persons who were in the news the most. In the mentioned period, it looked like this:

The overview below shows subjects in the same period:

Origin of the messages on WorldWideWeed in the concerning period;