This quiz is based on the material in Chapter 7 of the text. Answer each these questions in a paragraph with at least five sentences: Include the question and number your responses accordingly. Provide a citation for each answer. 1. Describe Digital Literacy (how to know what is real on the web). 2. . What does this mean to you? 3. Why is Wikipedia more reliable than a paper encyclopedia? 4. How useful are crowd sources answers? 5. What are some drawbacks to crowd sourced answers? 6. Do people generally utilize the diversity of sources on the Internet effectively? 7. How reliant are we and how reliant should we be on getting our news from social media? 8. How do humans remain vigilant when we turn over authority to computers? Have you tried to navigate without gps? 9. If models are simplifications or reality, why do we rely on them? 10. Why was this l, used by Amazon for hiring, wrong? 11. Why did Skynet declare war on the human race? Include references, do not copy paste striclty.

1. Digital literacy refers to the ability to navigate and critically evaluate information in the digital age, particularly on the internet. It involves the skills and knowledge necessary to determine the reliability and credibility of online sources. In order to discern what is real on the web, one must be able to identify trustworthy sources, verify information through fact-checking, and understand the potential for bias and misinformation. Digital literacy also encompasses skills such as effective searching, filtering and organizing information, and protecting one’s privacy and security online (Hargittai, 2010).

2. Digital literacy is crucial in today’s society because of the vast amount of information available online. Without the ability to discern what is real on the web, individuals can easily fall victim to misinformation and propaganda. This can have serious consequences in various aspects of life, including personal decision-making, professional endeavors, and even democratic processes. Being digitally literate empowers individuals to make informed judgments based on reliable information and to contribute meaningfully to online discussions and debates.

3. Wikipedia is often considered more reliable than a paper encyclopedia due to its collaborative nature and constant updating. Unlike a paper encyclopedia, Wikipedia is created and edited by a diverse community of contributors from around the world. This means that errors and inaccuracies can be quickly identified and corrected by a large number of people. Additionally, Wikipedia provides references and citations for its articles, allowing readers to verify the information and evaluate the sources themselves. However, it is important to note that while Wikipedia is a valuable starting point for research, it is not immune to biases or inaccuracies, as anyone can edit its articles (Giles, 2005).

4. Crowd-sourced answers can be highly useful in certain contexts. They allow for a wide range of perspectives and expertise to contribute to problem-solving and knowledge-sharing. For example, platforms like Stack Exchange or Quora enable users to ask questions and receive answers from a community of individuals with relevant knowledge and experience. This can lead to faster and more diverse insights than relying on individual experts alone. However, it is essential to critically evaluate the quality and reliability of crowd-sourced answers, as they may still contain errors or biases (Liu et al., 2012).

5. Despite their advantages, crowd-sourced answers can also have drawbacks. Due to the open and unmoderated nature of many crowd-sourcing platforms, there is a risk of misinformation and low-quality responses. Some individuals may deliberately provide incorrect or misleading information, while others may simply lack the necessary expertise to provide accurate answers. Furthermore, crowd-sourced answers may lack the depth and nuance that can be found in expertly curated sources or scholarly publications. As a result, it is important to approach crowd-sourced answers with a critical eye and consider cross-referencing information from multiple sources (Tao and Chen, 2011).

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