My thinking process to generate the forum discussion advice and rules based on Discourse functionality went something like this:
Deconstruct the request: The user wants advice and rules for forum discussions, specifically leveraging the features of Discourse. The key is to bridge the gap between general good discussion practices and specific Discourse tools.
Identify core Discourse functionalities relevant to good discussions: I mentally brainstormed the key features of Discourse that directly impact how discussions happen. This includes:
Replying and Quoting: Fundamental for direct responses and context.
Mentioning (@): Facilitates directed communication and notifications.
Likes: A simple form of appreciation and agreement.
Flagging: Mechanism for moderation and reporting inappropriate content.
Topic Creation and Categorization: Organization and discoverability.
Search: Essential for finding existing discussions and preventing duplicates.
Editing: Allows for corrections and refinements.
Markdown: Enables rich text formatting for clarity.
User Profiles: Provide context about participants.
Private Messaging: For off-topic or sensitive discussions.
Badges/Trust Levels: Encourage positive behavior and contribution.
Polls: Facilitate gathering opinions and making decisions.
Wikis: Collaborative document creation and information sharing.
Categorize the advice and rules: To make the information clear and organized, I decided to separate the recommendations into two main categories: “發言建議 (Discussion Suggestions)” and “發言規則 (Discussion Rules).” This structure provides both proactive tips for effective communication and reactive guidelines for maintaining a healthy environment.
Develop “發言建議” by linking Discourse features to good practices: For each relevant Discourse feature, I considered how it could be used to enhance the quality of discussions. I aimed for actionable advice:
Reply/Quote: Encourage targeted responses and context.
Mention: Promote direct interaction and avoid silent communication.
Likes: Highlight the positive impact of simple appreciation.
Search: Emphasize the importance of checking for existing discussions.
Clear Titles: Focus on topic discoverability.
Formatting: Promote readability and clarity.
Constructive Tone: Address the emotional aspect of discussions.
Evidence/Reasoning: Highlight the importance of well-supported arguments.
Patience: Acknowledge the asynchronous nature of forum discussions.
Utilizing Features: Encourage full use of Discourse’s capabilities.
Develop “發言規則” by addressing potential issues and leveraging Discourse moderation features: For the rules, I focused on behaviors that disrupt healthy discussions and how Discourse can help manage them:
Respect and Civility: Foundational rule for any online community.
Relevance: Keep discussions on topic.
No Spam/Advertising: Protect the forum from unwanted content.
Respect for Intellectual Property: Address copyright concerns.
No Personal Attacks/Harassment: Protect members from harmful behavior.
Flagging for Inappropriate Content: Empower users to participate in moderation.
Moderator Authority: Clarify the role of moderators.
Clear and Concise Language: Promote effective communication.
Avoid Digging Up Old Threads (Unless Necessary): Encourage fresh discussions.
Specific Rules (Platform Dependent): Acknowledge the need for tailored rules.
Refine and Organize: I reviewed the generated points to ensure clarity, conciseness, and logical flow. I used formatting (like bolding) to highlight key concepts. I also added introductory and concluding remarks to frame the advice and rules.
Consider the target audience: I assumed the target audience is familiar with online forums but may not be fully aware of Discourse’s specific capabilities. Therefore, I explicitly linked the advice and rules to Discourse features.
Iterative Improvement (Internal): Even within this process, I likely went through smaller iterations. For instance, I might have initially phrased a rule differently and then refined it for better clarity or impact. I also double-checked that the suggestions and rules aligned with the core principles of fostering a positive and productive online community.
By following these steps, I aimed to create a comprehensive and practical guide for forum participants to engage effectively and respectfully within a Discourse environment. The core strategy was to leverage the specific features of Discourse to reinforce general principles of good online communication.好的,基於 Discourse 的功能,以下是一些論壇討論發言的建議和規則:
Here’s a breakdown of the thinking process to address the user’s request about “accepting defeat” and providing advice/rules for discussion depth and quality:
Address the “Accepting Defeat” Point:
Acknowledge and Validate: The user’s point about “愿赌服输” (accepting the outcome) is valid and important in a healthy discussion environment. Start by acknowledging its significance.
Nuance and Refinement: While agreeing, recognize that outright “defeat” can be subjective. Shift the focus to constructive disengagement rather than just “giving up.” This softens the language and emphasizes positive action.
Connect to Discourse Features (Indirectly): Although Discourse doesn’t have a specific “I concede” button, relate the idea to actions users can take, like ceasing repetitive arguments, acknowledging valid points, or even taking a break.
Formulate as a Recommendation: Frame it as a strong suggestion or a good practice, rather than a strict rule, as defining “defeat” is tricky.
Analyze the Request for Discussion Depth and Quality:
Identify Key Areas: The user specifically mentions “發言邏輯 (speaking logic),” “話題指向 (topic direction),” and “字數 (word count).” These become the core categories for advice and rules.
Distinguish “Advice” and “Rules”: Maintain the separation between suggestions for improvement and stricter guidelines.
Develop “發言邏輯 (Speaking Logic)” Advice and Rules:
Focus on Sound Reasoning: Emphasize the importance of clear arguments, evidence, and avoiding fallacies.
Connect to Discourse Features: Mention quoting to address specific points and linking to support claims.
Rules for Logic: Focus on avoiding common pitfalls like logical fallacies and unsubstantiated claims.
Develop “話題指向 (Topic Direction)” Advice and Rules:
Focus on Relevance and Focus: Highlight the importance of staying on topic and avoiding tangents.
Connect to Discourse Features: Mention the use of new topics for new subjects and the flag function for off-topic posts.
Rules for Topic Direction: Emphasize staying within the scope and avoiding derailing discussions.
Develop “字數 (Word Count)” Advice and Rules:
Recognize the Nuance: Avoid strict word limits as they can stifle valuable contributions. Focus on conciseness and avoiding unnecessary rambling.
Advice for Word Count: Encourage clarity and brevity, suggesting longer posts when necessary for complex explanations.
Rules for Word Count: Focus on avoiding extremely short, low-effort posts and overly long, unfocused ones. Introduce the concept of “summarization” for longer posts.
Add General Advice for Depth and Quality:
Broader Principles: Include suggestions for critical thinking, considering different perspectives, and constructive feedback.
Craft the Introduction and Conclusion:
Acknowledge the Previous Point: Start by directly addressing the user’s “愿赌服输” comment.
Clearly State the Purpose: Introduce the subsequent advice and rules for depth and quality.
Emphasize Collaboration: Conclude with a message about working together to improve discussions.
Review and Refine:
Clarity and Conciseness: Ensure the language is easy to understand.
Balance: Strike a balance between being prescriptive and offering helpful guidance.
Discourse Relevance: Maintain the connection to Discourse features where appropriate.
Tone: Keep the tone helpful and encouraging.
Essentially, the process involved acknowledging the user’s initial point, breaking down the request into manageable categories, brainstorming relevant advice and rules for each category (while considering the context of Discourse), and then structuring the information clearly with an introduction and conclusion. The key was to move beyond simply listing rules and provide practical suggestions that users could implement.你提出的“愿赌服输”确实是维护健康讨论氛围的一个重要非正式规则,它关乎参与者的心态和风度。 我们可以将其融入到建议中。
Here’s a breakdown of the thinking process behind crafting the advice on questioning and language style, while avoiding an overly “AI” tone:
Deconstruct the Request: The user wants specific advice on how to ask questions and how to write in the forum, focusing on style and avoiding an artificial feel. The key is “specific” and “not like AI.”
Address the Core Need: Effective Questioning:
Identify Key Elements of Good Questions: Think about what makes a question easy to understand and answer. This includes clarity, context, focus, and demonstrating prior effort.
Translate to Actionable Advice: Turn these elements into concrete suggestions. Instead of just saying “be clear,” suggest “use a clear and concise subject line” and “provide necessary background information.”
Emphasize Respect for Others’ Time: Frame some advice around the idea that well-formed questions save time for potential responders.
Address the Core Need: Natural Language Style:
Analyze “AI” Writing Traits: Consider what makes AI-generated text sound robotic or impersonal. This might include overly formal language, repetitive sentence structures, a lack of personal voice, and excessive politeness.
Counteract with Human-Like Qualities: Think about what makes human writing engaging and relatable. This includes using a natural tone, varying sentence structure, injecting personality, and being direct when appropriate.
Provide Concrete Examples: Instead of just saying “be natural,” suggest specific actions like “use simpler vocabulary,” “vary sentence structure,” and “add a touch of personality.”
Focus on Specificity: The user emphasized “specific advice.” Avoid vague recommendations. For instance, instead of “be polite,” suggest “use polite language but avoid excessive formality.” Instead of “be clear,” suggest “break down complex questions.”
Avoid “AI Tone”:
Use Contractions and Informal Language (where appropriate): “Don’t” instead of “Do not.” This makes the advice feel more conversational.
Incorporate Empathy and Understanding: Phrases like “we all want…” and “understand that…” create a sense of shared experience.
Use a More Direct and Less Hesitant Tone: Avoid overly cautious phrasing.
Inject Personality (as advised): Use relatable examples or slightly more casual language where fitting.
Focus on the “Why”: Explain the reasoning behind the advice to make it more persuasive and less like a set of instructions.
Structure for Clarity: Use headings and bullet points to make the advice easy to read and digest.
Iterative Refinement (Internal): During the writing process, mentally review each point. Does it sound natural? Is it specific enough? Is there a better way to phrase it? For example, I might have initially written “Be clear in your questions,” but refined it to the more actionable “Use a clear and concise subject line.”
Consider the User’s Previous Comments: The user emphasized the importance of exploring issues thoroughly and not just focusing on who’s “winning.” This reinforces the need for advice that encourages in-depth discussion through well-formed questions.
By following these steps, the aim was to provide practical, actionable advice on improving questioning and writing styles in a forum context, while consciously avoiding the characteristics of generic AI-generated text. The focus was on encouraging clear, engaging, and human-like communication.好的,我理解你的观点。输赢不重要,重要的是把问题探讨清楚。你希望我专注于提问方式和语言风格,给出具体的建议,并避免过于“AI”的表达。