Question
Suppose I am an advanced information technology user who wants to organize knowledge about classical music, one of my favorite topics of interest, and share it with others online who share the same passion.
Using conventional social media (Facebook, LinkedIn, Twitter, YouTube, Discord, WhatsApp, TikTok, StackExchange, etc…) what limitations arise in terms of:
- Content Visibility - who can see shared information through granular audience controls and sensitivity safeguards
- Content Structure - how to organize content with metadata-rich, semantically connected nodes in a graph network
- Access Control & Governance - provide user-controlled permissions and audit trails and
- Search & Discovery - determine how information is indexed, traversed, and surfaced within a connected graph
How do these limitations affect my ability to create, integrate, curate, aggregate, and ultimately publish and share content within virtual communities and networks ?
Additionally, how can any of these media platforms enhance organizational awareness, learning, collaboration, and innovation to support a shared task or goal ?
Athanassios -
One of the misfits, the rebels, the troublemakers, the round pegs in the square hole.
PS: I am seeking opportunities to work on a , where users are empowered as experienced knowledge workers. If you want to hire me or collaborate on building such a system, please get in touch. The vision is to develop a partly open-source platform that enables users to fully engage with the new era of graph-based data networks, while encouraging existing social media platforms to become transparent, uphold user data ownership, and comply with standards for privacy, access control, content governance, and interoperability.
Social Media
Social media are new media technologies that facilitate the creation, sharing and aggregation of content (such as ideas, interests, and other forms of expression) amongst virtual communities and networks.
| Category | Platforms | Primary Purpose | Content Format | User Engagement Style | Typical Audience |
|---|---|---|---|---|---|
| Social Networking | Facebook, LinkedIn | Build personal & professional connections | Text, images, video, links | Messaging, sharing posts, networking | General users, professionals |
| Microblogging | Twitter (X), Threads, Mastodon | Short-form updates & real-time information | Short text posts, images, links | Rapid posting, commenting, reposting | News followers, creators, public |
| Media Sharing | Instagram, TikTok, YouTube, Snapchat | Visual storytelling and entertainment | Photos, short videos, long-form video | Likes, comments, shares, creator following | Creators, influencers, younger users |
| Discussion & Forums | Reddit, Quora, Discord | In-depth discussions, Q&A, community chats | Text posts, threads, voice channels | Upvotes, replies, topic-based communities | Hobbyists, experts, niche communities |
| Livestreaming Platforms | Twitch, YouTube Live, Facebook Live | Real-time video broadcasting | Live video, chat interaction | Live chat, subscriptions, donations | Gamers, educators, event broadcasters |
| Professional Portfolios | Behance, Dribbble | Showcase creative or technical work | Images, project pages, case studies | Likes, comments, portfolio discovery | Designers, developers, artists |
| Social Messaging Apps | WhatsApp, Messenger, Telegram, WeChat | Private communication & group chats | Text, voice, video, images | Direct messaging, group conversations | General users globally |
| Interest-based Networks | Pinterest, Goodreads, Letterboxd | Share and explore interests (recipes, books, films) | Images, lists, reviews | Saving pins, writing reviews, rating content | Hobby-focused communities |
| Business & Local Reviews | Yelp, Google Reviews | Share business feedback & discover services | Text reviews, ratings, photos | Reviews, ratings, recommendations | Shoppers, local community users |
Personal Information Management (PIM)
is the study and implementation of the activities that people perform to acquire or create, store, organize, maintain, retrieve, and use informational items such as documents (paper-based and digital), web pages, and email messages for everyday use to complete tasks (work-related or not) and fulfil a person’s various roles (as parent, employee, friend, member of community, etc.)
Personal knowledge management (PKM) is a process of collecting information that a person uses to gather, classify, store, search, retrieve and share knowledge in their daily activities (Grundspenkis 2007) and the way in which these processes support work activities (Wright 2005). It is a response to the idea that knowledge workers need to be responsible for their own growth and learning (Smedley 2009). It is a bottom-up approach to knowledge management (KM) (Pollard 2008). Knowledge management (KM) refers to a range of processes focused on organizational awareness, learning, collaboration, and innovation. It involves using and sharing knowledge to support an organization’s goals.
Content Visibility
Defines who can see shared information by giving users granular control over audience groups, visibility levels, and safeguards for sensitive content.
- What levels of visibility exist (e.g., public, followers-only, network-only, private)
- User in control of defining audience groups (friends, specific contacts, circles, professional networks, custom lists)
- Granular sharing rules (with trusted contacts, with professional network, anonymously)
- Warn users when sharing sensitive content to platforms
Content Structure
Organizes all content as structured with metadata-rich nodes in a knowledge graph, enabling semantic relationships, tracking, and contextual understanding
- How Information is Structured
- Describing and Tracking Content
- Represent versions of content
- How posts, images, videos, notes, references etc. are internally represented
- How the content is tagged, categorized, assigned to nodes of a knowledge graph
- Track how the content is reshared or referenced
- Generate automatically (timestamps, sources, data types, tags, privacy level, IDs)
- Semantic relationships (part of, related to, located at)
- Identity and Context
Access Control & Governance
Provides user-controlled permissions and detailed audit trails to manage who accesses content, where it is shared, and how it changes over time
- What was shared
- Where it was shared
- Who accessed it
- When it was modified or deleted
- What roles users have
- Who is publishing
Search and Discovery of Information
How information is discovered, traversed, and contextualized within a personal knowledge graph
- How is information indexed inside the personal knowledge graph
- Should nodes be searchable by keywords, semantic meaning, tags, metadata, or relationships
- How does the PKG handle multi-hop search, for example, can the system surface content related through indirect links (“A → B → C”) or infer contextual relevance?
- How does search respect privacy and access control
- Visualize search results in the network graph
- Support federated search across graph networks