Models of Communication

Question 1

Models of Reality (MRs)

Answer 1

represent the structural relationship of communication systems visually

e.g. SMCDR model

Question 2

MRs Key Features

Answer 2

-often pre-theoretical and heuristics in nature (device that helps us make sense of something)
-simplifying complex system to help us better understand and critique

Question 3

What can MRs be used for (i.e. their value)?

Answer 3

1. generating hypothesis
2. guiding experimental designs

Question 4

Models of Data (MDs)

Answer 4

constructed from empirical data using statistical techniques

Question 5

MDs Key Features

Answer 5

-starts as hypotheses tested against data, often revised for a better fit
-uses computational tools to analyze patterns

Question 6

MDs Limitations

Answer 6

-reliability depends on the quality of data
-risk of overfitting or chance-based conclusions

Question 7

MRs vs MDs

Answer 7

MRs are often abstract, static, or generalized, used for understanding or generating ideas while MDs are more precise and data-driven and evolve with new evidence

Question 8

Models of Possible Worlds (MPWs)

Answer 8

simulate systems or phenomena to observe behaviors in virtual or controlled environments, allowing us to test assumptions and explore dynamic processes

Question 9

MPWs Benefits

Answer 9

ENACT & ENABLE

-enact communication process rather than just representing them
-enable exploration of complex interactions and emergent properties