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COM 101 • Human Communication [Petit]: Looking @ Ask O'Reilly Answers

Library resources & information for Professor Petit's COM 101 class.

Ask O'Reilly Answers (AI)

Powered by AI, Answers instantly generates replies you can depend on, sourced from thousands of titles on the O'Reilly Learning Platform.

"Ask O'Reilly Answers and get trusted solutions - fast" (O'Reilly Learning Platform).


Answers Search Results

Search results may include eBooks, audio books, videos, or course resources available within O’Reilly Learning. Answers AI is available as an initial search or can be used to answer questions while reviewing platform resources.

Login to O'Reilly Learning

Login to the O'Reilly Learning platform is slightly different than other databases. Users are directed to get access through their library. Enter 'Ashland University' as your school or institution and enter your AU email address. This will identify you as an AU user and personalize your search.

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Getting Started O'Reilly Answers

Explore how to locate Ask O'Reilly Answers, manage a search, and review an example search for defining social media filter bubbles.


From the navigation menu at the top of the page, select Answers to view the tool. If prompted to login, enter Ashland University as your school and provide your AU email address.

 

Screen grab of O'Reilly Answers

What can we answer for you? Enter your question in the search box, or select one of the suggested topics to review. When logged into O'Reilly Learning, your research history is available. It is possible to revisit previous questions. Users may choose to keep or delete and search query.

  • Generative Overviews: Get a succinct explanation from our trusted content that you can apply right away..
  • Direct Source: Know where the information is coming from so you can dive in to learn more.
  • Suggested Follow Ups: Explore related questions to go deeper, one response at a time.

Screen Grab Ask O'Reilly

Research Question:How do I define social media filter bubbles?

When this search was conducted, initial results included an introduction, definition and causes, effects of filter bubbles, and mitigating filter bubbles. Nine sources were detailed including books and an on demand O'Reilly Learning course.

Definition provided: "Social media platforms use machine learning algorithms to personalize experiences, creating a feedback loop that can lead to a filter bubble. This phenomenon is caused by the way social media algorithms prioritize content that is likely to engage users, often based on their past interactions and preferences. As a result, users are exposed to a curated feed that reinforces their existing beliefs and interests, rather than being presented with diverse perspectives and information" (Ask O'Reilly Answers).


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