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Data mining on Social Media Research Report | 11
To help define the ‘unintended impact’, a multi-faceted approach to data mining through
social media was conducted. A professional understanding, predominantly found through the
investigations into posts, comments and images from companies and design professionals,
provided an insight into their role and understanding of the research question. This was
done predominantly using LinkedIn. Whilst an insight into the impact on everyday users
through Facebook and Instagram searching provided visual content reflecting the consumers
behaviour in response to these impacts. This includes analysis from numerous demographics
and understanding levels, providing a qualitative understanding of consumer behaviour and
experience, as well as determining the design professional’s role and comprehension of the impact
of SBS.

Interviews
Structured and Semi-structured interviews were undertaken on 4 participants broken up into
two sections. The first line of questioning involved targeting design professionals and industry
experts in determining their opinion on the current code requirements. Where they think there are
shortcomings, the effect of those shortcomings, and potential solutions to reducing the effects of
potential code impacts.
The second line of questioning involved gaining an understanding on consumer behaviour in the
home. This included asking how often people felt the need to use mechanical heating and cooling,
if they have experienced condensation build-up and mould within their home and if they viewed
this as normal and expected. Questions will then become more detailed in exploring how/why/
what they use mechanical heating and cooling for, as well as other passive ventilation methods.
The question was asked if participants would spend more upfront on better quality, or if they would
prefer to spend more on running costs over longer periods. These interviews will be audio-recorded
and transcribed.

Case Study
A Case Study (McLeod, 2019) helped explore participant's behaviour to contribute to the previous
findings. An air purifier and dehumidifier were turned off for a period of one week at two separate
households within the same climate zone. The results were documented using autophotography
capturing the PM and gas levels after one week. Results were also recorded through journal, to see
whether the occupant's lifestyle or health felt impacted, and if their feeling correlated to the results
from the purifier(Glaw, Inder, Kable and Hazelton, 2017).

These research methods adopted aimed to provide a clearer comprehension into user behaviour
in response to combating SBS. The results were triangulated using data source triangulation
which helped validate the findings from the observational research and interviews (Carter et al.
2014). These results combined with the secondary research outlining code short comings provided
input to a clearer solution to solving what can be done to reduce the unintended impact of code
compliant homes in Australia.

Brendan Wilson