Articles written about things you love empower creators. Introducing the "AI Context Network"
When you encounter a book, movie, drama, or song you love, don't you ever want to share that feeling with someone?
The impressions and reviews you post on note create encounters with people who don't know the work, and also serve as support for the people who created it. We have launched a system called the "AI Context Network" to make this happen.
A page is automatically created on note for each work. As a first step, it supports approximately 7,000 titles published by KADOKAWA, as well as popular books and video works available on Amazon.
Your article becomes an "entry point" for the work
On each work's page, in addition to basic information about the work, a list of impression and review articles written by creators is displayed.
For example, when you open the page for a novel, you can read a summary along with a list of impressions and analyses written on note. The review you wrote becomes an "entry point" for someone who hasn't encountered that work yet.
*Work pages are displayed on the note web browser and iOS/Android apps (please update to the latest version of the app to use this feature)
How to display your article on a work page
When writing your impressions or review, simply add a hashtag of the work's title to your post and if there is a corresponding work page, your article will be displayed automatically.
The number of supported works will continue to increase in the future. Even if a work is not currently supported, if you write about it with the work's title as a hashtag, it will be reflected immediately once it becomes supported.
If no one has posted about a work yet, the first person to write an impression article will see a pop-up saying, "The first article about [Title] has been posted on note."
You might be the "first person" for a work that no one has written about yet. Why not share your article as it is and deliver it to people who love the same work?
How to find work pages
Currently, about 7,000 work pages are published. If you have a favorite work or one you are curious about, please try searching for it in the note search bar by adding a hashtag to the work title (e.g., #NingenHyouhon). If the work is supported, the work information will be displayed.
For more details, please see the help page "AI Context Network".
Writing about what you love becomes support
note articles are read not only immediately after posting, but also months or years later through searches and recommendations. It's not just about the excitement right after release; it continues to reach people over a long period of time. Your article will continue to be an "entry point" that connects the work with readers.
We want to make note a place where "talking about what you love becomes support in itself."
On the work page, people who read your impressions and think "that looks interesting" can proceed directly to purchase or watch it. The act of writing impressions leads to sales of the work and becomes a force that supports the next creation. We want to create such a cycle together with you.
Future developments
Expansion of supported works
Currently, we are focusing on books and video works, but we plan to support various genres in the future, such as music, cosmetics, and games. We also welcome requests for works you would like to see supported, so please send them via note feedback. For companies that distribute works, we are waiting for your inquiries via this form.
Giving back to creators who write impression articles
Based on the fact that works are spread through the impression articles you post, we are considering a system to give back to creators as well. We will announce details as soon as they are decided.
note will continue to make updates while listening to your voices. A list of improvements made so far is summarized in the following article.
On note's official X (Twitter) and official Instagram, we introduce helpful tips for creation and wonderful articles every day. We look forward to your follow.
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For improvements and requests regarding features, please use note feedback. For other inquiries, please use the request submission form.