The Power of Stigmergic Social Annotation and User Reviews in Collective Sensemaking

The Power of Stigmergic Social Annotation and User Reviews in Collective Sensemaking

Introduction:
In today's platform-centric ecology, user annotations are locked within data siloes, limiting their potential for collective sensemaking. Inspired by the principles of decentralization and open source software, the concept of Open Source Attention (OSA) emerges as a socio-technical framework to liberate human attention from platform control. This article explores the pivotal role of stigmergic social annotation and user reviews in the quest for collective sensemaking.

Understanding Stigmergic Communication:
Stigmergic communication is a form of distributed memory where modifications left by others serve as cybernetic feedback, driving the emergence of novel system-level behavior. There are two types of modifications: sematectonic stigmergy, which directly alters the environment state, and stigmergic markers, which act as signaling cues. Stigmergic markers, such as likes, annotations, and hyperlinking of text, serve as digital traces of human attention and hold significant value for both extractive and constructive purposes.

The Movement to "Free" Stigmergic Markers:
Similar to the open source software movement, OSA aims to "free" stigmergic markers from the constraints of platform-centric ecosystems. By starting with basic hypertext primitives like emotional valence, bi-directional links, span highlighting, semantic categorization, and textual annotation, OSA empowers makers to create, store, and query stigmergic markers. This movement shifts the focus from the exploitation of attention to supporting intentional and constructive actions.

Scaling Collective Sensemaking Efforts:
To achieve global-scale sensemaking, OSA must compete with established platforms. However, rather than engaging in head-to-head competition, OSA aligns with the "protocols, not platforms" approach. Interoperable protocols and storage for stigmergic primitives can be introduced, allowing data from diverse personal knowledge management (PKM) apps to contribute to collective sensemaking. This approach leverages existing PKM growth to bootstrap collective knowledge management (CKM) efforts.

The Right Way to Ask Users for App Reviews:
In the world of mobile apps, user reviews play a crucial role in search results and top chart rankings. However, the way app developers ask for reviews can greatly impact user experience. To ensure a positive response, developers should consider the following advice:

1. Build a great app: The foundation of receiving positive reviews is creating an app that meets user expectations and provides a seamless experience. Prioritize user needs and continuously improve the app based on constructive feedback.

2. Don't annoy your users: Timing is key when asking for app ratings. Interrupting the user's experience or asking for a rating after a crash can lead to frustration and negative reviews. Instead, wait for a likely moment of constructive feedback or a positive experience before presenting the request.

3. Ask nicely, don't beg: The way app developers present the request for a review can influence user perception. Avoid appearing desperate or pushy. Consider integrating the rating request seamlessly within the app's interface, allowing users to choose whether to engage with it or not.

Conclusion:
Stigmergic social annotation and user reviews hold immense potential for collective sensemaking. By embracing the principles of Open Source Attention, we can unlock the power of distributed knowledge creation and storage. To maximize the impact, it is essential to build great apps, respect user experience, and approach users politely when asking for reviews. By incorporating these actionable advice, we can foster healthier epistemic environments and contribute to the ongoing quest for collective sensemaking.