Through the research I have conducted through this task I have become very interested in attitude and perceptions that develop from misconception. This idea of consistent exposure to half-truths is how misconception develop as they feed the rumour mill. Coming into this brainstorming exercise I was more focused on how I could possible break down stigmas or misconceptions that have developed into truths.
As a group these are the sub issues surrounding our issue of asylum seekers that we have chosen to focus on. In particular the first two points of attitudes towards asylum seekers and perception of attitudes to asylum seekers by decision makers, we discussed as a group how we think these ideas are linked informing misconceptions, racist views and ads to the dehumanization of asylum seekers.
From here we started to brainstorm and develop ideas related to our areas of focus. As we started to discuss our ideas it became apparent that we could interchange applications with ideas to create better executions. Such as how we can utilize twitter bots for different uses.
5 point summary:
- Service Design: Creating a twitter bot that targets fallacies or misconception in tweets. This idea of not feeding the rumour, which create false truths. This isn’t necessarily targeting the person righting the post who are more likely to very set in there view but the people that may read this view that we can help challenge mistruths for them.
- Generative design: This idea isn’t necessarily about the action happening but more about a notion of showing support and unity and creating social conversation for asylum seeker support of resettlement. People post a photo of a bed they are willing to give to an asylum seeker for settlement. This is about showing support and breaking down perceptions that Australians don’t want asylum seekers here part of this is to do with showing unity to politicians. This idea is similar to the ice bucket challenge and making your dp rainbow in support to equal marriage rights.
- Generative design: Similar to the idea above about generating medium support. This idea came from an a proposition from Jim Macken a retired judge who proposed to do a body swap with an asylum seeker and like on Manus idea to allow an asylum seeker to live in Australia. As this would never happen this is about the gesture and support it shows. Setting up an app in which you nominate a body swap with an asylum seeker with about a gesture for showing united support in Australia for asylum seekers. This gesture is focused at politicians in displaying a difference in opinion to there use of detention centres.
- Data Visualisation: Using symbols or colours to represent different emotion you could used either an app or twitter bot to gather data on the emotions of settle asylum seekers, and from here in display on a map all the people with the same emotion as you. This idea is to do with the high levels of depression particularly in the first years of being resettled. This simple data visualisation is about showing someone that they are not alone. This app could also extend further as a social network for settled asylum seekers as well.
- Another idea discussed with Erland is the use of sharing asylum seeker stories as a means of humanising asylum seekers. Using the newspaper as a way of linking people to asylum seeker stories.
The first point discussed from my 5 point summary is the main direction I’m going to take for my task three. As I am most interested in this idea of breaking down misconceptions the use of twitter bot is a great way of trying to break down this misconception on a real and direct level.
Creating a twitter bot that responds to common misconception to do with asylum seekers, in a way that corrects the tweet with facts that counteract the misconception being mention. In order for this to work I will research the common misconceptions that I can target in people’s tweets. These may be to do with language choice such as ‘illegal alien’ or ideas such as the high influx of asylum seekers coming to Australia. More research into reading tweets and finding out what people are talking about over twitter will also help hone in on these misconceptions. In order to work I will need a set of tweets that focus on topics and can respond to a range of tweets.