MINDSETMonths to result

Commonality-Based Social Media Algorithm

Surfacing commonalities

Problem it solves

limiting beliefs

Best for

Reducing polarization and increasing social cohesion

Not ideal for

Platforms focused on sensationalism or conflict

Overview

Why this framework exists

This framework involves creating a social media algorithm that prioritizes surfacing commonalities between users, rather than highlighting differences. The goal is to increase social cohesion and reduce polarization by helping users discover shared interests and values. The algorithm would work by identifying and showcasing the commonalities between users, allowing them to build connections and relationships based on shared experiences and interests.

Core principles

3 total
  1. Prioritize commonalities over differences
  2. Use algorithms to surface shared interests and values
  3. Foster social cohesion through online interactions

Steps

3 steps
  1. Develop a Commonality-Based Algorithm
    Create an algorithm that identifies and surfaces commonalities between users, such as shared interests or experiences. This could involve using natural language processing or machine learning techniques to analyze user data and identify patterns.
    Pro tipUse a combination of human curation and algorithmic sorting to ensure that the commonalities surfaced are accurate and relevant.
    WarningBe cautious of biases in the algorithm that could prioritize certain types of commonalities over others.
  2. Implement the Algorithm on a Social Media Platform
    Integrate the commonality-based algorithm into a social media platform, such as a news feed or recommendation system. This could involve working with developers and designers to create a user-friendly interface that showcases commonalities in a clear and compelling way.
    Pro tipUse A/B testing to compare the effectiveness of the commonality-based algorithm to traditional algorithms that prioritize engagement or clicks.
    WarningBe prepared for potential backlash from users who are accustomed to more traditional social media algorithms.
  3. Monitor and Evaluate the Effectiveness of the Algorithm
    Track user engagement and feedback to evaluate the effectiveness of the commonality-based algorithm. This could involve using metrics such as user retention, engagement, and satisfaction to determine whether the algorithm is achieving its goals.
    Pro tipUse user feedback to refine and improve the algorithm over time, incorporating new features and functionalities that respond to user needs and preferences.
    WarningBe cautious of potential unintended consequences, such as the creation of 'filter bubbles' that reinforce existing social divisions.

Checklist

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Examples

2 cases
Reducing Polarization on a Social Media Platform

A social media platform implements a commonality-based algorithm that surfaces shared interests and values between users. As a result, users begin to engage more positively with each other, sharing content and participating in discussions that promote social cohesion.

OutcomeThe platform sees a significant reduction in polarization and an increase in user satisfaction, with users reporting feeling more connected and less divided.
Increasing Social Cohesion in a Community

A community organization uses a commonality-based algorithm to identify and surface shared interests and values among community members. As a result, community members begin to come together around shared goals and interests, participating in events and activities that promote social cohesion.

OutcomeThe community sees a significant increase in social cohesion, with community members reporting feeling more connected and less isolated.

Common mistakes

3 traps
Prioritizing Engagement Over Commonalities
Focusing too much on engagement metrics, such as likes and shares, can lead to the prioritization of content that is divisive or sensational, rather than content that promotes social cohesion.
Ignoring Potential Biases in the Algorithm
Failing to consider potential biases in the algorithm can lead to the prioritization of certain types of commonalities over others, potentially reinforcing existing social divisions.
Not Providing Clear Guidance to Users
Not providing clear guidance to users on how to use the commonality-based algorithm can lead to confusion and frustration, potentially undermining the effectiveness of the algorithm.

Origin story

How this framework came to be

The idea for this framework came from the realization that social media platforms often prioritize content that is divisive or sensational, rather than content that brings people together. By creating an algorithm that focuses on commonalities, the goal is to create a more positive and inclusive online environment.

Source

Traced to primary
Source · PODCAST
Science & Tools of Learning & Memory | Dr. David Eagleman
Andrew Huberman · 2026
Open source →

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