ANALYZE THIS
Issues with Visual Data and Analytics
Spatial mapping algorithms
Ethical and Methodological Issues
Challenges in Big Data Interpretation
100

Define "assemblage"

The way we combine technology, digital programs, humanities and research for studies

100

What is an API?

Application Programming Interface

100

What hashtag was discussed in the case study?

#notracist

100

What is one ethical concern when collecting big data from social media?

Privacy issues—users may not be aware their data is being collected

100

What does it mean when we say "big data is not always complete"?

It means that datasets may have gaps due to API restrictions, missing context, or data collection biases.

200

What does data mining do?

Data mining helps us find patterns and correlations among large sets of data for research purposes

200

What was the primary case study?

Twitter

200

A process that creates a digital representation of physical space.

Spatial mapping 

200

Why can big data sometimes reinforce biases rather than eliminate them?

Algorithms are trained on existing data, which can reflect societal biases and perpetuate them

200

Why is interpreting visual data more challenging than textual data?

Visual data often lacks metadata, can be ambiguous, and requires additional contextual knowledge to analyze correctly.

300

What is a major flaw of social media data analysis?

Some programs have rate limits


OR 

Data needs humans to understand what they are looking at

300

Define "Big Data Challenge"

The complex dynamics behind collecting, assessing and storing large sums of data

300

What hashtag clusters spread outward?

comedy & truth

300

What is "context collapse" in social media research?

When data is taken out of its original social or cultural context, leading to misinterpretation

300

What is one common misconception about big data analytics?

That more data automatically leads to better insights—context and interpretation are still crucial.

400

Who wrote the reading related to data analysis and its problems?

Brooker

400

How should researchers approach datasets?

Mixing computational and manual practices

400

What type of reasoning do spatial algorithms use to represent distinctions between nodes?

Mathematical reasoning 

400

According to Brooker, what is one limitation of relying solely on computational methods for data analysis?

Computational methods lack the ability to interpret social and cultural meanings behind the data

400

Why does Brooker argue that spatial mapping is useful for understanding social media trends?

Because it helps visualize how information spreads geographically and socially, revealing patterns not obvious in raw data.

500

In the reading, Brooker felt we need to focus on data____ and visual __?

Processes

500

What was 1 of 3 tools mentioned for visualizing social media data

Gephi, NodeXL or Chorus

500

The ___ is what constructs and constrains the map.

algorithm

500

How can researchers ensure ethical data collection in social media research?

By obtaining informed consent when possible, anonymizing data, and being transparent about their methodology

500

What does the concept of "assemblage" mean in data analysis?

It refers to the integration of data, visualization, and interpretation to construct meaningful insights.