The adoption of social media by Australian banks to communicate with the public

 This thesis focuses on social media adoption by the Australian banks as method of communication. It proposes a ‘technology independent’ adoption model with components that encompass sociotechnological factors governing the adoption of social media. The model can also be adapted by any business organisation and prove beneficial for future.

Continuous validation for data analytics systems

From a future history of 2025: Continuous development is common for build/test (continuous integration) and operations (devOps). This trend continues through the lifecycle, into what we call `devUsage': continuous usage validation. In addition to ensuring systems meet user needs, organisations continuously validate their legal and ethical use. The rise of end-user programming and multi-sided platforms exacerbate validation challenges. A separate trend isthe specialisation of software engineering for technical domains, including data analytics. This domain has specific validation challenges. We must validate the accuracy of sta-tistical models, but also whether they have illegal or unethical biases. Usage needs addressed by machine learning are sometimes not speci able in the traditional sense, and statistical models are often `black boxes'. We describe future research to investigate solutions to these devUsage challenges for data analytics systems. We will adapt risk management and governance frameworks previously used for soft-ware product qualities, use social network communities for input from aligned stakeholder groups, and perform cross-validation using autonomic experimentation, cyber-physical data streams, and online discursive feedback.

Understanding organisational use of social media for crisis communication.

This research examines the use of social media by organisations for communication with stakeholders during a crisis and provides a theoretical framework for guiding organisations in this area.

Social media as sensor for healthcare: A machine learning approach.

This thesis advances the area of applied machine learning, sentiment and psycholinguistic analysis in social media for health analytics. In particular, the thesis views social media as a gigantic form of 'sensor' to inform about mental health community and related topics.