How Note Taking Can Help You Become an Expert in Ill-Structured Domains: Instagram and the Interest Graph

How Note Taking Can Help You Become an Expert in Ill-Structured Domains: Instagram and the Interest Graph

In the world of social media and online platforms, there are two key concepts that have been the focus of much discussion: the social graph and the interest graph. Facebook's CEO, Mark Zuckerberg, has made a clear distinction between the two, stating that the interest graph is even more valuable than the social graph. This is why platforms like Instagram, with its emphasis on user interests, have become so valuable.

The interest graph refers to the collection of data and information about a user's interests, preferences, and behaviors. It is a way to understand what users are interested in and what content they engage with. However, building an interest graph is not an easy task. The open web allows for easy manipulation and gaming of the system, making it difficult to obtain accurate and reliable data on user interests.

Instagram, on the other hand, has a distinct advantage when it comes to building an interest graph. As a wholly owned and operated platform, Instagram has access to first-party data and has more control over the quality of the data collected. This means that the signals about user interests on Instagram are more reliable and accurate than on other platforms.

When it comes to the interest graph, intention is a crucial factor. On social media platforms, such as Facebook, users interact with content and other users, providing valuable signals about their interests. However, when it comes to the interest graph, users' intentions are less clear. It is more difficult to derive accurate information about a user's interests based solely on their interactions. This is why building an interest graph has proven to be a challenge.

Instagram's approach to addressing this challenge is to focus on engagement on the platform itself. By limiting the content in the main feed to only that from users you follow directly, Instagram ensures that the content is relevant and aligned with the user's interests. Additionally, Instagram does not allow users to repost content into their friends' feeds, further preserving the integrity of the interest graph.

However, Instagram still faces technical challenges when it comes to translating visual content into user interests. The algorithmic curation in the "Explore" tab is a work-in-progress, and users can still game the system through comments and hashtags. The incentives and misincentives of ad-based monetization also play a role in shaping the content and information on the platform.

One way Instagram can inhibit the propagation of undesirable information is by focusing more on its entertainment niche. Photos naturally lend themselves to consumer and entertainment information, and by delving deeper into this niche, Instagram can create a more curated and controlled environment. Clickable links, which serve no purpose in the entertainment niche, can be eliminated to maintain the platform's focus.

It is important to note that few people open Instagram with the intent of getting informed. Instagram is primarily a platform for entertainment, and its value proposition lies in its ability to entertain users. Therefore, Instagram should predominantly aim to entertain its users and focus on providing engaging and entertaining content.

In the realm of learning and expertise, note-taking plays a crucial role. In ill-structured domains, where concepts are highly variable and messy, having a system to collect and connect fragments of information is essential. This is where the Cognitive Flexibility Theory (CFT) comes into play.

CFT focuses on ill-structured domains, where concepts are instantiated in highly variable ways. In such domains, reasoning from first principles is difficult, and experts rely on comparing previous cases to make sense of new situations. Experts construct temporary schemas by combining fragments of previous cases, and they have an adaptive worldview that allows them to assemble fragments from different cases.

To apply CFT to note-taking, a hypertextual system can be used. A note-taking app with backlinking capabilities allows users to link concepts and cases, creating a network of interconnected information. By storing each case and highlighting concepts, users can create a collection of fragments that can be assembled and referenced when encountering new situations.

The CFT learning system also recommends a four-stage model for worldview change. Learners are first shown that their current worldview is reductive and maladaptive. Then, they are introduced to the adaptive worldview and its properties. Finally, they are provided with activities to master the adaptive worldview.

To construct a CFT hypertext system for yourself, you can use a note-taking app with backlinking capabilities. Copy cases into the app and mark up passages with concepts or case features. Split up passages into smaller segments to enhance the backlinking interface. Look for initial cases that are different from the ones you already have to expand your collection of fragments.

In conclusion, Instagram's focus on the interest graph and its emphasis on entertainment provide unique advantages and challenges. By delving deeper into its entertainment niche and eliminating unnecessary features like clickable links, Instagram can create a more curated and controlled environment. Additionally, note-taking, particularly using a hypertextual system like CFT, can help individuals become experts by collecting and connecting fragments of information in ill-structured domains. By using a note-taking app with backlinking capabilities, individuals can create a network of interconnected information that accelerates expertise and builds an adaptive worldview.