Halloween Task 3: "Unmasking the Impostors: The Proof of Work Hunt"
Campaign on WhoTweets
WhoTweets
Status
Closed
Task Type
design
Points
500
Reputation
—
Special Rewards
—
Top submissions
Best entries from participants
cuemnee
@cuemnee
👻 Not every impressive number represents real contribution. A large follower count, thousands of views, or a stream of likes can make a profile look influential. But what happens when we look beyond the numbers? The real difference is in the work behind them. A copied post doesn’t become valuable because it gets more impressions. Repetitive comments don’t build meaningful relationships. And completing tasks doesn’t automatically mean creating impact. This is why I find the DAO Labs approach to Social Mining interesting. Real contribution deserves more than a surface level engagement count. It needs a validation process: 🔎 Peer to Peer Validation Community members review the actual contribution. 📝 Quality Validation Originality, relevance, effort, and usefulness matter. 📊 Results Validation Look at whether the work creates meaningful outcomes. Reach and engagement still matter. They help measure visibility. But they should be signals, not the final verdict. The goal should be to recognize people who make a community more informed, useful, and valuable, not simply those who generate the most activity. The ghosts may fool the numbers, but genuine work should leave evidence. @TheDAOLabs #SocialMining #ProofOfWork #WhoTweets
- #2
s_anuoluwa
@Halancornell
🎃👻 Not everything that looks good is real! This Halloween,let's unmask the impostors behind vanity metrics and explore the difference between inflated numbers and genuine Proof of Work & #SocialMining @TheDAOLabs Don't be fooled by the numbers. Unmask the fakes!! #ProofOfWork https://t.co/x6iVZGbS7y
- #3
everyoung1991
@everyoung1991
The brief
See analyticsRequirements
Open to all: Anyone meeting the criteria below can joinPost: You will post and submit – Saturday, Oct 31, 2026 from 12:00 to 13:00 pm UTC.
Reward: Up to 500 pts based on how good, accurate, fair, and well-sourced it is, plus reach.
Task Overview
Halloween is all about masks and costumes, but building sustainable Web3 ecosystems requires authentic, unmasked contribution. Across the industry, many projects fall victim to "spooky metrics"—ghost communities, wash trading, inflated TVL, and sybil bot swarms.
For this task, Social Miners will create a clear educational visual contrasting superficial "ghost metrics" against authentic community building and Social Mining validation.
Task Requirements
Format:
An original infographic, carousel graphic (2–3 slides), or visual comparison matrix.
High visual density to maximize feed dwell time and profile click interest.
Key Content Points:
Identify at least 2 common "ghost/phantom" metrics in Web3 (e.g., bot-driven engagement, fake follower spikes, artificial volume).
Explain how genuine Proof of Work, peer curation, or Social Mining filters out bad actors to reward real human effort.
Highlight why long-term project health relies on verified community trust over vanity numbers.
Include a clear call-to-action encouraging viewers to bookmark the guide.
Quality & Bio Provenance:
Clean, professional visual layout that is easy to read on mobile and desktop feeds.
Accurate terminology and authentic research only (no generic AI copy).
Verify that "Social Miner" is present in your X profile bio.
Post your infographic on X tagging DAOVERSE / DAO Labs with hashtags: #ProofOfWork, #SocialMining.
Submission Instructions
Submit the direct link to your public X post and upload the high-resolution graphic file via your dashboard before the deadline.
Requirements
Must have a minimum of 50 X/Twitter followers to be eligible for Social Mining Tasks. If you do not have a WhoTweets account yet, please register by clicking the button below.
October 31, 2026 at 11:47 AM → October 31, 2026 at 1:00 PM
This task has ended
Rewards have been distributed to 27 participants
Analytics
How this task performed
Participants
27
unique miners
Impressions
19.4K
across submissions
Articles
0
long-form entries
Likes
1,862
Retweets
988
Replies
306
Bookmarks
140
Dwell Score
16.96%
engagement per impression
