영어에서 Digital traces 을 사용하는 예와 한국어로 번역
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Figure 3.10: Two main ways to combine digital traces and survey data.
Linking your survey to digital traces can be like asking everyone your questions at all times.
Lanier(2014) proposed paying participants for digital traces they generate.
Another way that researchers can use digital traces and administrative data is a sampling frame for people with specific characteristics.
Instead, it is going to be a book that teaches you how to learn from digital traces(Chapter 2).
In amplified asking(Section 3.6.1) the digital traces are used to amplify the survey data.
Since this data is a by-productof people's everyday actions, they are often called“digital traces”.
The second main problem of enriched asking is that the quality of the digital traces will frequently be difficult for researchers to assess.
Because these data area by-product of people's every day actions, they are often called digital traces.
In amplified asking, the digital traces are not of any direct interest other than their ability to help extract more value from the survey data.
Because these types of data are abyproduct of people's everyday actions, they are often called digital traces.
In enriched asking(Section 3.6.2) the digital traces actually have a core measure of interest and the survey data builds the necessary context around it.
Therefore, this is not going to be a book that teachesyou exactly how to use the Twitter API; instead, it is going to be a book that teaches you how to learn from digital traces(Chapter 2).
Unfortunately, many big data systems- especially business system that create and capture digital traces- are changing all the time, a process that I will call drift.
When someone connects these digital traces, and shares them with other people- often strangers, or even the wider public- that takes away the target's control over private data.
These business administrative records are often called digital traces, and include things like search engine query logs, social media posts, and call records from mobile phones.
Another popular term for digital traces is digital footprints(Golder and Macy 2014), but as Hal Abelson, Ken Ledeen, and Harry Lewis(2008) point out, a more appropriate term is probably digital fingerprints.
Another popular term for digital traces is digital footprints(Golder and Macy 2014), but as Hal Abelson, Ken Ledeen, and Harry Lewis(2008) point out, a more appropriate term is probably digital fingerprints.
Digital trace.
I got a job digital trace… break-in. for you and your crew.
The dangers of dirty digital trace data are illustrated by Back and colleagues'(2010) study of the emotional response to the attacks of September 11, 2001.
Subsequently many, many other projects have tried to use digital trace data for disease surveillance detection, see Althouse et al.(2015) for a review.
So, one way of asking Blumenstock's question could be: is it possible to predict how someone will respond to a survey based on their digital trace data?
Finally, I will describe two strategies for combining survey data with digital trace data.
As described in Chapter 2, most digital trace data is inaccessible to researchers.
First, for the people in both data sources, build a machine learning model that uses digital trace data to predict survey answers.
Table 2.5: Partial list of studies use some digital trace to predict some event.
In addition to using digital trace data to predict health outcomes, there has also been a huge amount of work using Twitter data to predict election outcomes;
A different approach to dealing with the incompleteness of digital trace data is to enrich it directly with survey data, a process that I will call enriched asking.
Thus, if there is some question that you want to ask to lots of people, look for digital trace data from those people that might be used to predict their answer.