Examples of using Big data sources in English and their translations into Swedish
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Colloquial
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Official
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Medicine
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Ecclesiastic
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Ecclesiastic
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Official/political
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Computer
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Programming
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Political
Big data sources can be loaded with junk and spam.
Measurement is much less likely to change behavior in big data sources.
In fact, people who have worked with big data sources know that they are frequently dirty.
Table 2.4 provides some other examples of how matching can be used with big data sources.
In conclusion, the big data sources of today(and tomorrow)
Table 2.1: Studies of unexpected events using always-on big data sources. Unexpected event.
Most big data sources are incomplete,
Thus, for those who are good at asking certain types of research questions, big data sources can be very fruitful.
Some researchers believe that big data sources, especially those from online sources,
Direct Discovery enhances business users' ability to conduct associative analysis on big data sources without limitations.
Kraut illustrates, big data sources will not eliminate the need to ask people questions.
efficient searching of big data sources.
The sensitive nature of this information is part of the reason that big data sources are often inaccessible described above.
In other words, even though some big data sources are non-reactive,
I think that there are three main ways that big data sources will be most valuable for social research.
and accessibility of many big data sources.
These four examples all show that a powerful strategy in the future will be to enrich big data sources, which are not collected for research,
but cleaning big data sources is more difficult for two reasons.
kinds of unethical purposes, as described more below when I talk about the sensitive nature of the information collected by big data sources below and in Chapter 6 Ethics.
there is increasing availability of big data sources(see Chapter 2)
it is a major challenge with using big data sources for social research Lazer 2015.
for more on construct validity in big data sources, Lazer(2015) and Chapter 2 of this book.
including big data sources, surveys, experiments,