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Welcome to the SenseNets Hyperfeed (alpha) docs!

1. Introduction 2. Using SenseNets Hyperfeed Contact Privacy Policy

1. Introduction

1.1 What is SenseNets Hyperfeed?

SenseNets Hyperfeed is a next-generation research discovery tool that transforms how researchers share and discover scientific content across social media platforms. By augmenting collectve intelligence through AI-powered semantic analysis, Hyperfeed creates a new kind of feed that helps you cut through the noise and focus on meaningful research discussions.

Unlike traditional social media feeds, Hyperfeed:

Automatically identifies and organizes research-related content

Enriches posts with semantic tags and keywords for better discovery

Connects related discussions across multiple platforms

Enables powerful filtering and navigation through research content

1.2 Why use Hyperfeed?

In today's digital age, researchers face a common challenge: while access to information has never been easier, making sense of the overwhelming volume of content has become increasingly difficult. Social media platforms have emerged as valuable spaces for scientific discussion, but they come with significant limitations:

High noise-to-signal ratio makes finding relevant content difficult

Valuable research discussions are scattered across multiple platforms

Content is often not machine-readable or easily discoverable

Platform-specific restrictions (like link penalties) hinder scientific discourse

Limited ability to track and connect related discussions

Hyperfeed addresses these challenges by:

Focused Content Discovery: Automatically filtering out non-research content and organizing discussions by topic, reference type, and semantic relationships

Cross-Platform Integration: Bringing together research discussions from Twitter, Mastodon, BlueSky and other platforms into a single, coherent feed

Enhanced Context: Enriching posts with semantic tags that clarify the nature of contributions (e.g., endorsements, critiques, reviews)

Connected Conversations: Linking related discussions about the same references, enabling you to see the full context of scientific discourse

Powerful Navigation: Offering multiple ways to explore content through hyperlinked references, keywords, authors, and AI-powered conversational search

By using Hyperfeed, you can spend less time filtering through social media noise and more time engaging with meaningful research discussions that matter to your work.

2. Using SenseNets Hyperfeed

2.1 Creating an account

Getting started with SenseNets Hyperfeed is straightforward. Follow these steps to set up your account:

Visit app.sense-nets.xyz in your web browser

Click the "Get started" button on the page

Connect at least one social media account:

Select the platforms you want to connect (currently supporting X/Twitter, BlueSky & Mastodon)

Follow the authentication prompts for each platform

Approve the necessary permissions for Hyperfeed to access your posts

Note: You can always adjust which accounts are connected or disconnect platforms through your account settings.

2.2 Understanding semantic tags & keywords

Hyperfeed uses both keywords and semantic tags to enhance the context and discoverability of your posts.

Keywords

Keywords describe what the content of your post is about. Similar to hashtags, they help categorize and make your work discoverable within specific subject areas or topics.

Characteristics of keywords:

Can be any relevant terms related to your content

Often include scientific disciplines, specific research areas, methodologies, or named entities

No predefined list; you can use any terms you find relevant

Help other researchers find your work when searching for specific topics

Examples of keywords:

Broad disciplines: #biology, #physics, #computer-science

Specific topics: #machine-learning, #quantum-mechanics, #epidemiology

Methodologies: #data-analysis, #simulation, #case-study

Named entities: #CRISPR, #Higgs-Boson, #AlphaFold

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Note that hashtags will be normalized (#MachineLearning → #machine-learning) for standardization purposes.

Semantic Tags

Semantic tags describe what you as the author are doing or thinking in relation to the content and particularly your relation to the references you're sharing.

Characteristics of semantic tags:

Come from a predefined list in the Common Sensemaking Ontology (COSMO). You can find the full list of available semantic tags at https://sense-nets.xyz/cosmo--common-sensemaking-ontology. Currently, only tags from this list can be used.

Describe actions, thoughts, or assessments related to the content

Help clarify your stance or the nature of your contribution

Enhance the discoverability and interpretability of your post. For example, semantic tags make it easy to create specialized feeds for popular subcategories of posts, like recommendations of content.

Examples of semantic tags:

#summarizes: When you're providing a summary of research or findings

#endorses: When you're expressing support for a particular reference

#agreesWith: When you're indicating agreement with a statement or finding

#disagreesWith: When you're expressing disagreement or critique

#reviews: When you're providing a review or assessment of work

2.3 Editing posts

SenseNets Hyperfeed allows you to edit the keywords and semantic tags associated with your posts to ensure they accurately reflect your content and intentions. Here's how to modify your post metadata:

Navigate to the "Your Posts" section in the dashboard

Find the post you want to edit

(Optional) Click on the post to open the full text

Modify keywords and semantic tags:

Remove existing tags: Click the "x" next to any keyword or semantic tag

Add new tags: Click the "+" button at the end of the tag list

Type to search available tags or create new keywords

Changes are saved automatically

Important notes:

Only keywords and semantic tags can be edited; the original post content cannot be modified through Hyperfeed

Edits to tags will be reflected immediately in your Hyperfeed presence

If you edit the original post on the social media platform, you'll need to manually update the tags in Hyperfeed

2.4 Sharing to Hyperfeed

Initial Setup

When you first connect your account, Hyperfeed analyzes your most recent social media posts

Each post is evaluated to determine if it's research-related

Posts identified as research-related are automatically annotated with keywords and semantic tags

Ongoing Monitoring

As you post new content on connected social platforms, Hyperfeed automatically:

Scans new posts
Identifies research-related content
Adds relevant keywords and semantic tags
Shares qualifying posts to your Hyperfeed

Managing Shared Content

View your shared posts in the "Your Posts" section

At the top of each you’ll see a grey or blue band:

On the left, you’ll see whether the post has been shared or not, and toggle between the two options
On the right, you’ll see a label indicating whether research-related content was detected in that post or not

At anytime, you can:

Unshare posts that you don't want in Hyperfeed
Re-share previously unshared posts

2.5 Navigating Hyperfeed

Hyperfeed offers multiple ways to explore and discover research content across platforms:

Main Feed

Access the main feed through the "Hyperfeed" tab

View research-related posts from all connected platforms in one place

Posts are enriched with semantic tags and keywords for context

Interactive Elements

References: Click anywhere except the URL to see:

Detailed reference information
Discussions about that reference
Filtering options based on semantic tags

Keywords: Click to see all posts tagged with that keyword

Profiles: Click usernames or profile images to:

View user profiles
See all their shared content
Access their research interests and expertise

2.6 Auto-indexed accounts

Auto-synced accounts are special cases where content is automatically mirrored from social platforms without direct user interaction with Hyperfeed.

Key Points

Content is automatically imported from the user's social media accounts

Keywords and semantic tags are added by AI without user review

The original author may not have seen or approved the added tags

Important Considerations

Tags and keywords on auto-synced accounts should be considered AI-generated suggestions

The original author may have different interpretations or preferences

Content classification and tagging is done automatically without human oversight

Claiming your account

To claim an auto-indexed account that belongs to you, simply log in with your social media credentials

Once authenticated, you can edit keywords and semantic tags, and manage which posts are shared

Contact

Drop us a line at hello@sense-nets.xyz or join the SenseNets Discord.

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