Final answer:
The accidental dangers of big data include privacy invasion, misinterpretation of results, data manipulation, as well as identity and financial theft, which can affect personal safety, national security, and the integrity of crucial infrastructures.
Step-by-step explanation:
The question you've asked relates to the accidental dangers associated with "big data." Big data refers to the vast volumes of data created by devices, internet interactions, and system logs, among others. When it comes to the risks associated with big data, we're looking at options such as privacy invasion, misinterpretation of results, data manipulation, and reduced computational power. Of these, options 1 through 3 are recognized as significant threats that have been highlighted by industry leaders and surveys alike, while option 4 does not inherently relate to the dangers of big data but instead to a potential consequence of resource limitation on processing such data.
Accidental Dangers of Big Data
- Privacy Invasion: The handling and analysis of big data can inadvertently lead to exposing sensitive personal information, leading to a breach of privacy and the possibility of identity theft.
- Misinterpretation of Results: When the vast amounts of data are not correctly processed or analyzed, it can lead to false conclusions, affecting business decisions, scientific research, and public policy.
- Data Manipulation: Malicious actors might manipulate data, which can have dangerous consequences ranging from misinforming the public to affecting national security.