Tips for Sharing DeepResearch
Explore methods for effectively sharing valuable information and contributing to the community
About This Guide
This guide introduces tips for effectively sharing DeepResearch on the platform. DeepResearch refers to web content with deep insights or valuable information, shared via URLs. Sharing excellent DeepResearch not only contributes to community knowledge enhancement but also helps you earn tokens.
Creating Effective Titles
The title greatly influences whether your DeepResearch will get attention. By creating an attractive title that appropriately reflects the content, you can deliver value to many users.
Characteristics of Effective Titles
- Concise and Clear
Titles that are too long are difficult to read, while titles that are too short may not convey the content. An ideal length is about 8-12 words.
- Appropriately Reflects Content
Make sure the main content and value of the DeepResearch can be understood just by reading the title. Avoid misleading titles that cause misunderstandings.
- Includes Elements That Spark Interest
Using numbers, question form, or words like "why" and "how" can create titles that attract users' interest.
- Includes Searchable Keywords
Including relevant important keywords in the title increases the likelihood of being found during searches.
Examples of Titles
β Bad Example:
A Very Good Article
The content cannot be understood at all from this title.
β Bad Example:
An article explaining artificial intelligence and machine learning and deep learning and neural networks in detail which comprehensively covers from the basics to applications of deep learning
This title is too long and difficult to read.
β Good Example:
Essential for AI Developers: Comparison and Proper Use of 5 Major Machine Learning Frameworks
This title is concise and clearly conveys the content and target audience.
β Good Example:
Why Programmers Should Learn Functional Programming - 3 Benefits Demonstrated with Real Examples
This title uses a question form and previews the content with specific numbers.
Writing Compelling Descriptions
The description is an important element for users to decide whether to view the DeepResearch. Aim for a description that is concise yet provides sufficient information and conveys the value of the content.
Characteristics of Effective Descriptions
- Clearly Communicates the Value of the Content
Explain why this DeepResearch is worth reading, and the specific value or insights readers can gain.
- Summarizes Key Points
By concisely summarizing the main content or conclusions of the DeepResearch, you allow users to quickly grasp the outline of the content.
- Adds Personal Perspectives or Discoveries
Adding your own insights or discoveries, not just a summary, makes for a more valuable description.
- Indicates the Target Audience
By indicating what kind of people this DeepResearch is especially helpful for, it becomes easier to reach appropriate users.
Examples of Descriptions
β Bad Example:
This is a very informative article. Please give it a read.
This type of description lacks specific information and doesn't convey the content or value.
β Good Example:
This article explains the latest methods of natural language processing using Python. It includes detailed explanations of how to implement the BERT model, with sample code provided. It will serve as a practical guide for developers starting NLP projects. I personally was able to improve the accuracy of sentiment analysis by 15% using this approach.
This description includes the content, target audience, specific value, and personal experience.
Measuring Success of Your Sharing
It's important to know how much value your shared DeepResearch is providing to the community. On the platform, you can measure the success of your sharing through the following indicators.
Success Metrics
- Number of Likes
The number of users who have "liked" your DeepResearch is a direct indicator that the content is valued. The more likes, the more users have recognized your content as valuable.
- Number of Bookmarks
The number of bookmarks indicates how many users want to reference your DeepResearch later. Bookmarks are private, but you can check the total number in the admin panel. Many bookmarks indicate that the content is recognized as having high reference value.
- Number of Views
How many times your DeepResearch has been viewed is an important indicator of the reach of your content. More views mean more users have shown interest in your content.
These metrics can be checked in the "Shared DeepResearch" section of your My Page. By regularly checking and analyzing what types of content are most appreciated by users, you can lead to more effective DeepResearch sharing.
Examples of Excellent DeepResearch
To get an idea of effective DeepResearch sharing, refer to the following examples. These are examples of excellent DeepResearch from various perspectives including title, description, and content selection.
Example 1: Technical DeepResearch
Title:
2023 Edition: Top 10 Web Application Security Vulnerabilities and How to Mitigate Them
Description:
This comprehensive guide details the major security vulnerabilities in modern web applications and practical countermeasures based on the latest version of OWASP Top 10. It's particularly rich in specific code examples for XSS and SQL injection prevention, offering insights that can be immediately utilized during implementation. It's valuable not only for web application developers but also for specialists conducting security audits. I personally used this guide to enhance the security of internal applications, significantly improving the pass rate of vulnerability scans.
Strong Points:
- Includes specific year, indicating it is current information
- Includes the number "10", conveying specific value
- Detailed description clearly conveys the content and value
- Target audience (developers and security specialists) is clearly indicated
- Includes personal success experience, conveying practical value
Example 2: Business DeepResearch
Title:
Why Do 90% of Startups Fail? 5 Survival Strategies from Successful Founders
Description:
This interview article is packed with experiences and insights from multiple successful startup founders. After analyzing common causes of failure based on statistical data, it presents five frameworks as specific strategies to avoid them. It offers perspectives that differ from conventional advice, particularly on how to determine product-market fit and approach initial funding. It's valuable content not only for those planning to launch startups but also for those who have already started, providing hints for course correction. I personally improved my cash flow outlook considerably by adopting the cash flow management approach introduced here.
Strong Points:
- Title using question form and numbers to attract attention
- Indicates credibility of the information source with "successful founders"
- Description emphasizes unique value (perspectives different from conventional)
- Indicates multiple target audiences (those planning to start and those who have already started)
- Proves practical value based on personal experience
Summary
Effective DeepResearch sharing is not just about posting a URL, but accurately conveying the value of that content. Attractive titles, descriptions that clearly communicate value, and selection of quality content are keys to success.
Your DeepResearch earning many likes and bookmarks is proof that you are providing value to the community. While you earn 5 tokens each time you share, don't forget that you are contributing to enhancing the value of the entire platform by sharing quality information.
Try putting the tips introduced in this guide into practice for more effective DeepResearch sharing.