AutoWikiBrowser

From binaryoption
Jump to navigation Jump to search
Баннер1
    1. AutoWikiBrowser

AutoWikiBrowser (often abbreviated as AWB) is a powerful, semi-automated tool for making high-volume edits to Wikipedia. It's a Windows application (though it can run on other operating systems via compatibility layers like Wine) designed to assist with repetitive tasks, such as correcting common errors, standardizing formatting, and applying consistent changes across numerous articles. While initially daunting for new users, AWB significantly speeds up the process of maintaining and improving the quality of Wikipedia content. This article provides a comprehensive guide for beginners, covering installation, configuration, basic usage, and best practices.

What can AutoWikiBrowser do?

AWB excels at tasks that involve applying the same change to many pages. Some common uses include:

  • Fixing typos and spelling errors: Using regular expressions, AWB can quickly identify and correct common misspellings.
  • Standardizing formatting: Ensuring consistent use of dates, numbers, citations, and other formatting elements.
  • Adding or removing categories: Applying relevant categories to articles that are missing them, or removing incorrect ones.
  • Replacing text: Substituting outdated or inconsistent phrases with preferred alternatives.
  • Adding or updating infoboxes: Populating or correcting information within infoboxes.
  • Fixing dead links: Identifying and replacing or removing broken external links.
  • Converting references: Changing reference styles (e.g., from bare URLs to named references).
  • Removing unwanted characters: Cleaning up articles by removing stray HTML tags or other unwanted characters.
  • Applying MOS guidelines: Enforcing the Manual of Style across multiple articles.

AWB is *not* intended for significant content additions or complex edits. It's best used for focused, mechanical tasks.

Installation and Setup

1. Download: Download the latest version of AWB from its official source: [1](https://github.com/Enterprisey/AutoWikiBrowser). Always download from a trusted source to avoid malware. 2. Installation: Extract the downloaded ZIP file to a location on your computer. There is no traditional installer. 3. Dependencies: AWB requires the .NET Framework 4.5 or later. If you don't have it installed, Windows will prompt you to download and install it. 4. Initial Configuration:

   *   Run `AutoWikiBrowser.exe`.
   *   You will be prompted to log in to your Wikipedia account. AWB uses your account's cookies, so you'll need to log in through your web browser *first*.
   *   AWB will ask for your Wikipedia user agent.  It's crucial to set a descriptive user agent to identify your edits as being made by AWB.  A common format is "AutoWikiBrowser/X.Y.Z (YourUsername)". Replace X.Y.Z with the AWB version number and YourUsername with your Wikipedia username.
   *   Configure your preferred text editor. AWB allows you to choose an external editor (like Notepad++, VS Code, etc.) to review changes before submitting them.

Understanding the AWB Interface

The AWB interface can seem overwhelming at first, but it's logically organized. Here's a breakdown of the key sections:

  • Main Window: Displays the list of pages to be edited, edit summaries, and other controls.
  • Filter Tabs: (Page, Edit, Summary) These tabs allow you to define criteria for selecting pages and filtering edits. We’ll cover these in detail later.
  • Text Editor: Displays the content of the article you're currently reviewing.
  • Edit Summary Section: Where you write a concise description of the changes you've made. This is *essential* for transparency and accountability.
  • Toolbar: Provides quick access to common functions like "Start," "Skip," "Accept," and "Revert."
  • Log Window: Displays messages about AWB's activity, errors, and warnings.

Basic Usage: Making Your First Edits

Let's walk through a simple example: correcting a common typo.

1. Create a Filter:

   *   Click on the "Page" filter tab.
   *   Enter a search term in the "Page title contains" field. For example, if you're looking for pages with the typo "teh" instead of "the," enter "teh."
   *   Adjust the "Max pages to process" setting. Start with a small number (e.g., 20) to get comfortable.
   *   Click "Find pages."

2. Review the Results: AWB will display a list of pages matching your search term. 3. Process Pages:

   *   Double-click a page in the list to open it in the text editor.
   *   AWB will highlight the occurrences of "teh."
   *   Use AWB’s "Replace" function (Ctrl+H) to replace all instances of "teh" with "the."
   *   Carefully review the changes to ensure you haven't introduced any new errors.

4. Edit Summary: In the "Edit Summary" section, write a clear and concise summary of your changes. For example: "Corrected typo: 'teh' to 'the' using AWB." 5. Submit Changes: Click the "Accept" button. AWB will submit the changes to Wikipedia. 6. Repeat: Continue reviewing and accepting changes for the remaining pages in the list.

Advanced Filtering

AWB's filtering capabilities are its most powerful feature. Here's a closer look:

  • Page Filter: Used to select which pages AWB will process. You can filter by:
   *   Page title contains/does not contain:  Find pages with specific words in their titles.
   *   Page text contains/does not contain:  Find pages with specific text in their content.  This uses regular expressions, allowing for complex pattern matching.
   *   Category members: Process all pages within a specific category.
   *   Pages in a specific namespace: Limit edits to only article pages, talk pages, etc.
  • Edit Filter: Used to filter the *detected* edits on each page. This prevents AWB from automatically submitting changes that you might not want to make.
   *   Edit summary contains/does not contain:  Filter edits based on the content of the proposed edit summary.
   *   Change size:  Ignore edits that are too small or too large.
   *   Regex matches/does not match: Filter edits based on whether the changes match a regular expression.
  • Summary Filter: Used to filter the final edit summary before submission. This helps ensure consistency and clarity.

Regular Expressions

Regular expressions (regex) are a powerful tool for pattern matching. AWB heavily relies on regex for finding and replacing text. Learning basic regex syntax is highly recommended. Here are a few examples:

  • `\.` Matches a period.
  • `[a-z]` Matches any lowercase letter.
  • `[0-9]` Matches any digit.
  • `\s` Matches any whitespace character.
  • `.*` Matches any character (except newline) zero or more times.
  • `^` Matches the beginning of a line.
  • `$` Matches the end of a line.

AWB provides a regex tester to help you experiment and refine your patterns.

Best Practices and Considerations

  • Start Small: Begin with a small number of pages and simple edits to get comfortable with AWB.
  • Review Carefully: *Always* review the changes AWB proposes before accepting them. AWB is a tool, not a replacement for human judgment.
  • Write Clear Edit Summaries: A detailed edit summary is crucial. Explain *what* you changed and *why*.
  • Be Aware of Bots and Protected Pages: Avoid editing pages that are actively being worked on by other bots. Also, respect page protection levels.
  • Use the "Skip" Button: If AWB detects an edit you don't want to make, use the "Skip" button to move on to the next page.
  • Don't Overload the Servers: Avoid making edits too quickly. Space out your edits to avoid overwhelming the Wikipedia servers.
  • Consider the impact on trading volume analysis of Wikipedia data: While seemingly unrelated, significant automated changes could theoretically impact how data from Wikipedia is used in external analyses.
  • Relate to technical analysis principles: Think of AWB as a tool for consistently applying a “rule” (like a trading strategy) across a large dataset (Wikipedia articles).
  • Understand trends in editing: Be mindful of current discussions and ongoing editing trends within the Wikipedia community.
  • Explore name strategies for categorization: Apply consistent naming conventions when adding or modifying categories.
  • Apply indicators of common errors: Use AWB to address frequently occurring errors identified through community discussions.
  • Consider the risk management of automated edits: Always test thoroughly before applying changes to a large number of pages.
  • Adapt to volatility in content: Be prepared to adjust your filters and edits as Wikipedia content evolves.
  • Implement a diversification of tasks: Don’t solely focus on one type of edit; diversify your efforts to contribute to multiple areas of improvement.
  • Monitor market depth of edit requests: Be aware of the volume of outstanding edit requests and prioritize accordingly.
  • Use stop-loss orders for problematic edits: If an edit consistently causes issues, revert it and refine your filters.
  • Employ trailing stops for ongoing maintenance: Regularly review and update your AWB configurations to maintain effectiveness.
  • Analyze support and resistance levels of editing patterns: Identify common areas where edits are frequently reverted and address the underlying issues.
  • Understand call options for specific edits: Consider the potential benefits of making a specific edit and weigh them against the risks.
  • Recognize put options for reverting edits: Be prepared to revert edits if they are detrimental to the quality of Wikipedia.

Resources

AutoWikiBrowser is a valuable tool for any serious Wikipedia editor. By mastering its features and following best practices, you can significantly contribute to the quality and consistency of this important resource. Remember to always exercise caution, review your changes carefully, and respect the Wikipedia community's guidelines.

|}

Start Trading Now

Register with IQ Option (Minimum deposit $10) Open an account with Pocket Option (Minimum deposit $5)

Join Our Community

Subscribe to our Telegram channel @strategybin to get: ✓ Daily trading signals ✓ Exclusive strategy analysis ✓ Market trend alerts ✓ Educational materials for beginners

Баннер