Related Experiment Video
Updated: Aug 9, 2025

05:02
Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
Published on: October 24, 2019
31.7K
Twitter's threat to curtail free data access angers scientists
Summary
Social media platforms aim to generate revenue from their vast user data. This involves developing new strategies to leverage global datasets for commercial purposes.
Area of Science:
- Data Science
- Business Strategy
Background:
- Social media platforms accumulate massive global datasets.
- There is increasing pressure for these platforms to demonstrate profitability.
Discussion:
- Exploring monetization strategies for large-scale user data.
- Analyzing the ethical and practical implications of data monetization.
Key Insights:
- Global datasets represent a significant untapped asset.
- Monetization requires innovative approaches beyond traditional advertising.
Outlook:
- Future revenue streams may depend on novel data applications.
- The long-term success hinges on balancing monetization with user trust.
More Related Videos
Related Concept Videos
Censoring Survival Data
172
Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different...
172
Archival Research
16.0K
Some researchers gain access to large amounts of data without interacting with a single research participant. Instead, they use existing records to answer various research questions. This type of research approach is known as archival research. Archival research relies on looking at past records or data sets to look for interesting patterns or relationships. For example, a researcher might access the academic records of all individuals who enrolled in college within the past ten years and...
16.0K
Introduction to R
478
R is a powerful software environment for statistical computing and graphics. Originating as an implementation of the S language, developed at Bell Laboratories, R has evolved into a robust, open-source statistical software favored by statisticians and data scientists worldwide. Its comprehensive suite includes data manipulation, calculation, and graphical display capabilities, making it versatile for data analysis and visualization. Its programming language is at the core of R's...
478
Ethics in Research
23.1K
Today, scientists agree that good research is ethical in nature and is guided by a basic respect for human dignity and safety. However, this has not always been the case. Modern researchers must demonstrate that the research they perform is ethically sound.
23.1K
Social Traps
22.5K
Social traps are negative situations where people get caught in a direction or relationship that later proves to be unpleasant, with no easy way to back out of or avoid. The concept was orignally introduced by John Platt who applied psychology to Garrett Hardin's "Tragedy of the Commons", where in New England herd owners could let their cattle graze in the common ground. This situation seems like a good idea, but an individual could have an advantage. If they owned...
22.5K
Statistical Software for Data Analysis and Clinical Trials
699
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
699

