INFO 200
Definition of Key Concepts and Themes
Automation
Definition: A technology that performs tasks without human intervention.
Black Box: Refers to a nonhuman agent or mechanism that processes inputs to generate outputs without revealing its internal workings.
Example: Search engines operate as black boxes by automating the retrieval and processing of data based on algorithms.
Objectivity
Definition: The quality of perceiving and presenting information without bias or personal feelings influencing the outcome.
Influence on Search Engines: Objectivity affects how search engines display results, ensuring that users receive unbiased information based on query inputs.
Implication: If objectivity is compromised, search results may reflect biased perspectives or misinformation.
Group Collaboration Process
Project Structure:
Participants are encouraged to work in groups, with 15 groups available and 15 packs of words to use.
Individuals have the freedom to choose their preferred project group and share ideas collaboratively.
Importance of Individual Input: Each participant should defend their connections and interpretations of the power words associated with the project.
Task Guidelines:
Participants are to write brief definitions for each selected word within the provided space.
Example connections should be included to demonstrate understanding and relevance.
Search Engine Functionality
Everyday Use: Search engines play a crucial role in assisting users with information retrieval for daily tasks and inquiries.
Information Behavior Model:
Definition: A conceptual framework that illustrates how individuals seek information in various contexts.
Search engines contribute to this model by facilitating users' ability to locate information efficiently.
Cognitive Process in Information Seeking:
Users often struggle to make sense of complex issues (e.g., climate change) without the support of reliable information platforms.
Information infrastructures serve as critical tools that assist people in interpreting and understanding relevant topics.
Impact of Infrastructure Collapse:
When information infrastructures fail, users face challenges in obtaining reliable data, potentially leading to confusion or misinformation.
Data Brokers and Privacy Issues
Data Brokers:
Definition: Entities that collect and sell personal information online, often without individuals' knowledge or consent.
Example of Dark Patterns: Techniques used by data brokers that manipulate consumer choices and privacy settings, contributing to a lack of transparency.
Ethical Implications: The existence of data brokers raises serious questions about privacy, consent, and the ethical use of personal information in digital environments.