Computational Comm. Quick Review

Question 1

Types of data

Answer 1

1. structured
2. unstructured
3. semi structured

Question 2

Sources of big data

Answer 2

1. digital life data
2. digital trace data
3. digitalized life data

Question 3

Factors that gave rise to computational comm

Answer 3

1. Increasing availability of big data
2. rise of user generated content
3. emergence of new digital media analytics
4. advancements in computational power and accessibility

Question 4

New research methods and analytical approaches

Answer 4

*DAR

1. data collection
2. analytical techniques
3. research design innovations

Question 5

Future research directions

Answer 5

1. expanding research beyond english and text based media
2. understanding the societal impacts of algorithms
3. addressing bias in AI models
4. Studying the authenticity crisis in communication

Question 6

Key points abut what big data analysis can provide

Answer 6

1. SOLVE & UNDERSTAND human comm problems (E.g. data can be analyzed to see how to maximize successful comm in a relationship. For example, what behaviors lead to more conflict?)
2. can reveal PATTERNS of individual and group behavior (E.g. can predict civil unrest in a country by analyzing characteristics)
3. Enable the ANALYSIS and RECOGNITION of patterns and the early identification of behaviors that match those patterns
   (E.g. FB can determine when you’ll break up with a partner before you do by looking at the type of content or people you view)
4. From a socio-psychological perspective, involves the CAUSE and EFFECT relationship between different comm signals and people’s beliefs and behaviors (E.g. We can look at the effects media has on a person’s view of a policy)