After the last brainstorming session of refining our design proposition, though I found several useful feedback, I realised my idea was not engaging and a bit confusing. My design intention was focused too much on functionality of the software but not so meaningful in terms of design perspective. In addition, there are already existing software that does a similar job. Even though the design intention was different, the process and the expected result are similar. So I decided to scrape my old idea and move on a new one.
Talking with other peers about their work inspired me of their design approach to the problem. At the same time, I am able to spot the point where they might have missed.
People who first started to use internet and social media are likely to post something immature online as they are unaware that the content online stays almost permanently. Sometimes people wouldn’t remember what they did in the past and turns out to be embarrassment. Online user especially the ones who likes to post content online should take cautious of the content in respect of the future in order to keep everything private stays private.
Project Title: The internet wall of regret
Practice Type: Data-Driven
Using twitter search to collate a collection of twitter messages about their regret of posting something online in the past. Messages collected with be displayed on a website that updates in a regular basis. Those messages are analyse into statistic such as how often a regret is post throughout days and weeks.The idea behind this website is to raise people’s attention about their digital footprint and present it in a more coherent way to the young people.
To bring people to interactive to the website, a twitter bot is programmed to reply to those regret messages suggesting that there is another person have the same experience (with a retweet) along with a hyperlink to the “The Internet Wall of Regret” website and a hashtag.
Twitter search currently used for data:
- “why did i post”
- regret i post
- “i regret posting”
Some of the tweets like “why did i post” comes with an image from the past which does not really a regret but more like promoting or reminding people of their own reckless actions. A lot of the tweets usually doesn’t come with a context but just stating that they are regret of what they did which may results in repetitive response shown on the website.
Further data scraping from Twitter and analysing them will help identifying useful information or interesting fact to add on the website.
The possible Change
Additional function on the website which maps out the amount of regret messages in every intervals (days, weeks, months) and visualise the data in a more aesthetic manner.