Text mining police narratives to identify types of abuse and victim injuries in family and domestic violence events
In this paper, the authors demonstrate the application of an automated text mining method to identify abuse types and victim injuries in a large corpus of NSW Police Force family and domestic violence (FDV) event narratives recorded between January 2005 and December 2016.
Text mining police narratives for mentions of mental disorders in family and domestic violence events
In this paper, the authors describe the feasibility of using a text-mining method to generate new insights relating to family and domestic violence (FDV) from free-text police event narratives.
The week’s two big political campaigning scandals — Cambridge Analytica’s data-harvesting and Labor’s funding scam in Victoria — highlight the temptations facing parties desperate to win government. For Labor, an Ombudsman’s report on the affair places valuable information in the hands of the Victorian Opposition.
Chances are you or your partner, kids or friends have a Facebook account. So how safe is your information, following the recent revelations about Cambridge Analytica?
"There needs to be a complete rethink of the way we allow political parties to operate," says the Chair of Digital Rights Watch, Tim Norton.
Temporary entrants are an important and growing part of the Australian population, with the latest available figures from the Department of Immigration and Border Protection (DIBP) showing close to 1.2 million temporary visa holders in the country as at 30 June 2016. This includes over...
Enabled by exponential technological advancements in data storage, transmission and analysis, the drive to ‘datify’ our lives is creating an ultra-transparent world where we are never free from being under surveillance. Increasing aspects of our lives are now recorded as digital data that are systematically...
The tradeoff fallacy: how marketers are misrepresenting American consumers and opening them up to exploitation
New survey results indicate that marketers are misrepresenting a large majority of Americans by claiming that Americans give out information about themselves as a tradeoff for benefits they receive. To the contrary, the survey reveals most Americans do not believe that ‘data for discounts’ is...