Wikipedia:Wiki Ed/Fordham University/ISGB BYGB 7978 Web Analytics (Spring 2017)

Web analytics aims to discover useful knowledge from Web hyperlinks, page content and usage log. Based on the primary kind of data used in the analytics process, Web analytics tasks are categorized into three main types: Web structure analytics, Web content analytics and Web usage analytics. Web content analytics is the mining, extraction and integration of useful data, information and knowledge from Web page contents. Web structure analytics is the process of using graph theory to analyze the node and connection structure of a web site. Web usage analytics deal with identifying, gathering and formatting of Web usage data, the computation and presentation of metrics, and the exploitation of the results, in order to measure website success. Meaningful insight is gained from traffic and visitor analytics data. It not only covers the unique measurement challenges associated with segmentation, but also comes with strategic recommendations for focusing the entire analytics process - from where to begin to what your larger, overall web analytics goals should be. Among them, Web content analytics is related to text analytics and web structure analytics is related to link analysis.

Week 1
Welcome to your Wikipedia project's course timeline. This page will guide you through the Wikipedia project for your course. Be sure to check with your instructor to see if there are other pages you should be following as well.

Your course has also been assigned a Wikipedia Content Expert. Check your Talk page for notes from them. You can also reach them through the &quot;Get Help&quot; button on this page.

To get started, please review the following handouts:


 * Editing Wikipedia pages 1–5
 * Evaluating Wikipedia


 * Create an account and join this course page, using the enrollment link your instructor sent you.
 * It's time to dive into Wikipedia. Below, you'll find the first set of online trainings you'll need to take. New modules will appear on this timeline as you get to new milestones. Be sure to check back and complete them! Incomplete trainings will be reflected in your grade.
 * When you finish the trainings, practice by introducing yourself to a classmate on that classmate’s Talk page.

Week 2
It's time to think critically about Wikipedia articles. You'll evaluate a Wikipedia article, and leave suggestions for improving it on the article's Talk page.


 * Complete the &quot;Evaluating Articles and Sources&quot; training (linked below).
 * Read 2 of the following Wikipedia articles:
 * Web Analytics
 * Python
 * Big data
 * Digital marketing
 * Click fraud
 * Search engine optimization
 * PageRank
 * Data mining
 * Create a section in your sandbox where you will take notes about what you've learned during this process.
 * While you read:  consider the following questions (but don't feel limited to these):
 * Is each fact referenced with an appropriate, reliable reference?
 * Is everything in the article relevant to the article topic? Is there anything that distracted you?
 * Is the article neutral? Are there any claims, or frames, that appear heavily biased toward a particular position?
 * Where does the information come from? Are these neutral sources? If biased, is that bias noted?
 * Are there viewpoints that are overrepresented, or underrepresented?
 * Check a few citations. Do the links work? Is there any close paraphrasing or plagiarism in the article?
 * Is any information out of date? Is anything missing that could be added?
 * Check the &quot;talk&quot; page - what is the Wikipedia community saying about how to discuss these issues? What is the article rated in Wikipedia's quality scale?
 * Optional: Choose at least 1 questions relevant to one of the article you're evaluating. Leave your evaluation on the article's Talk page. Be sure to sign your feedback with four tildes — Boldly-go (talk) 14:42, 28 March 2017 (UTC).

Week 3
To start, review page 6 of your Editing Wikipedia guidebook. Then, choose an article related to the course that you'd like to update for the rest of this project. You can review the list of &quot;Available articles&quot; on the Articles tab and pick one from there OR you can pick a new topic and assign it to yourself on the Students tab above.

If you'd like to choose a topic not in the list of &quot;Available articles&quot; consider browsing the Category:Web analytics article list - find one that you're interested in and check to see how well developed it looks. If it's short or underdeveloped, it could be a good option for this project!

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Before you move forward: you must have an article assigned next to your name on the Students tab.

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After you've selected your article, read through it, thinking about ways to improve the language, such as fixing grammatical mistakes. Then, make the appropriate changes. You don’t need to contribute new information to the article yet.

Week 4
Familiarize yourself with editing Wikipedia by adding a citation or making an improvement to your article. You can draft your ideas in your sandbox. Think back to the article evaluation you did last week. What kinds of changes could you make to your article to improve it? Eventually you should add at least 1-2 new sentences backed up with a citation to a reliable source, as you learned in the online training.

You'll want to find or create an appropriate photo, illustration, or piece of video/audio to add to your article.


 * Before you start, review the Illustrating Wikipedia handbook, or see Editing Wikipedia pages 10–11.
 * When you've reviewed those pages, take the training linked below.
 * To add an image to an article that already exists on Wikipedia follow these instructions:
 * When you're ready to start finding images, remember: Never grab images you find through an image search, or those found on Instagram, Tumblr, Reddit, Imgur, or even so-called &quot;Free image&quot; or &quot;free stock photo&quot; websites. Instead, you'll want to find images with clear proof that the creator has given permission to use their work. Many of these images can be found on search.creativecommons.org or commons.wikimedia.org.
 * To create a graph, illustration or image that does not yet exist:
 * Don't just upload an image to Wikipedia. Instead, upload it to Wikipedia's sister site for images, Wikimedia Commons. For instructions, read through the Illustrating Wikipedia handbook.

Week 5
Consider the following questions as you reflect on your Wikipedia assignment:


 * Critiquing articles: What did you learn about Wikipedia during the article evaluation? How did you approach critiquing the article you selected for this assignment? How did you decide what to add to your chosen article?
 * Summarizing your contributions: include a summary of your edits and why you felt they were a valuable addition to the article. How does your article compare to earlier versions?
 * Feedback: Did you receive feedback from other Wikipedia editors, and if so, how did you respond to and handle that feedback?
 * Wikipedia generally: Reflect on some of the following questions...
 * What did you learn from contributing to Wikipedia?
 * How does a Wikipedia assignment compare to other assignments you've done in the past?
 * How can Wikipedia be used to improve public understanding of web analytics? Why is this important?
 * How does Wikipedia itself participate in web analytics?