Short Description of Main Task

• The main objective of this task is to gain a deeper understanding of the key group of individuals actively involved in submitting proposals to the Arbitrum governance forum. The hypothesis suggests that there might be a certain group of individuals with shared interests who consistently support each other's proposals, potentially leading to a bias in decision-making and centralization of power. By conducting a thorough analysis of user interactions, sentiment dynamics, and engagement patterns, the aim is to uncover any signs of collusion and assess its impact on governance processes.

Subtask Description - Tally Proposal Post on Forum - Sentiment Analysis & Statistical Analysis

• In this subtask, the focus was on conducting sentiment analysis and statistical analysis on Tally proposal posts within the Arbitrum governance forum. Tally proposals play a crucial role in governance decisions within the community, making it essential to understand the sentiment dynamics surrounding these proposals. The objective was to identify prevailing sentiment trends, explore user engagement patterns, and assess the level of community support for Tally proposals. By analyzing sentiment in comments, examining trends over time, and correlating sentiment with engagement metrics, this subtask aimed to provide valuable insights into community sentiment and behavior towards Tally proposals.

Table Of Content

1. Executive Summary

2. Introduction

3. Methodology

4. Analysis Findings

   4.1 Dominant Sentiment in Comments on Tally Proposal Posts

   4.2 Trends in Sentiment Towards Tally Proposals Over Time

   4.3 Sentiment Towards Tally Proposals vs. Other Proposals

   4.4 Sentiment of High "Trust Level" Users vs. Regular Users

   4.5 Change in Sentiment Over Time for Tally Proposals

   4.6 Correlation Between Sentiment and Number of Views

   4.7 Correlation Between Sentiment and Number of Likes

   4.8 Overall Sentiment for Proposals with the Highest Number of Comments

   4.9 Average Number of Comments Received by Tally Proposal Posts

   4.10 Correlation Between Number of Comments and Number of Likes

   4.11 Relationship Between Views and Comments for Tally Proposals

   4.12 Top 10 Most Active Commenters on Tally Proposal Posts

   4.13 Contribution of High "Trust Level" Users vs. Regular Users

5. Conclusion

6. Resources

Executive Summary

In this analysis, we aimed to gain insights into the sentiment and engagement patterns surrounding Tally proposal posts on the forum. We conducted sentiment analysis on comments, investigated trends over time, examined sentiment differences across proposal categories, and explored user interactions.

Key findings include

• The analysis revealed a predominantly positive sentiment in comments on Tally proposal posts, with positive sentiment significantly outweighing negative and neutral sentiments. This indicates a generally favorable view of Tally proposals among forum users.
• Sentiment towards Tally proposals has shown to be steady over time, with a consistent level of engagement from the community. This steadiness is crucial for maintaining a vibrant discussion environment around Tally proposals.
• Sentiment analysis demonstrated no significant difference in sentiment between Tally proposals and other proposal types on the forum. This finding suggests a uniform sentiment distribution across various discussion topics.
• Users across different trust levels contribute to discussions on Tally proposals equally, indicating a broad and inclusive participation base. This wide-ranging engagement is vital for the diversity of opinions and discussions.
• A clear correlation exists between a proposal’s visibility (measured in views and likes) and the level of engagement (measured in comments) it receives. Proposals with higher visibility tend to engage more users, leading to a higher number of comments.
• The analysis did not find a strong correlation between the sentiment expressed in comments and the engagement metrics (views and likes). This suggests that while sentiment may influence some aspects of user engagement, other factors also play significant roles.