I tried to make an algorithm that identified the source of the data so to see if it were an official source. Perhaps to give insight on fake news and miscommunication surrounding the virus.
https://teams.microsoft.com/_#/xlsx/viewer/teams/https:~2F~2Fhrnl.sharepoint.com~2Fsites~2FWdK-DataDesignP2Group2~2FShared%20Documents~2FStudents~2FDatabase.xlsx?threadId=19:3b4cbe7fe99d4977ab66cf05a92d7293@thread.tacv2&baseUrl=https:~2F~2Fhrnl.sharepoint.com~2Fsites~2FWdK-DataDesignP2Group2&fileId=4971D362-DE5A-4859-9BA6-4366F3AB5E95&viewerAction=view
How does my self-created algorithm, and the data extracted, tell/show us something about a world after corona.
I then moved away from the first algorithm about fake news and engaged again with the database. Something else that interested me was the location of the data.
DATA
DESIGN

An algorithm is a set of rules with 3 steps:

1- SEQUENCING

2- BRANCHING

3- SORTING

Commercial Practice

Algorithmic Literacy?

They do not exist in a vacuum. They are built, deployed and used by people...

1- THE DATA

2- THE ALGORITHM

3- THE CONTEXT


We first started to collect data as a class in a shared excel sheet.
1- Read list info data type that is understandable
- DB = read (database.xlsx)

2- info array = DB(4,6)

3- for int i = 1 to length(DB)
if info(i)

I then tried to GRAPH our data to no success. I tried different types and different data only to give the results below.
To create an algorithm that looks into local vs. global data via filtering of words such as (DUO, Poland, different language etc). This can start a conversation about post corona society: Will people become more internationally oriented? Or will people just look at their own country?

I then looked at inspiration and I really like these for being simple in directions.
I then also looked to engage with my topic and came across an episode of KOREAN ENGLISHMAN where they compare South Korea to England and we see how their behaviour and approch was different in England due to their connection and knowledge of korean methods
https://www.youtube.com/watch?v=dJTlQC4pmMA&t=579s
Conditional Design Workbook
Milou Backx - Artificial Dumbness
sol lewitt wall drawing
What country are you quarentined in?
Do you read news/statements about covid-19?
If then
YES
Where from?
NO
End program
If country of origin matches country of quarentine
Check country of origin
NO
How does reading up on international Covid-19 news change your local behaviour?
YES
Suggest new source from different country.
Record answer
I also came across the GROUP THINK BUSINESS MODEL. It is when a group of people reach a conclusion with no critical thinking. This happens because everyone is like minded. This started because of the Rogers Commision found that the challenger explosion was because there were a lot of bubbles of people that did not communicate with themselves. This huge problem happened at the small scale because of all these bubbles being like minded. The engineers did not talk to the administration. I believe this can be applied to the data set.
This is my uml algorithm that will also be used to create a new data set. The data set will then either confirm or disprove my hypothesis: That there is behavioural change about the pandemic based on peoples local vs. global circle of influence.
https://www.youtube.com/watch?v=dJTlQC4pmMA&t=607s
https://www.communicationtheory.org/groupthink/
https://ncase.me/crowds/
When looking at our collective data set, I became interested in the origin of the data entered. As we are all together in this world wide pandemic, blurring the lines of our “boarders”. I wanted to create an algorithm that looks into local vs. global informative data. This can start a conversation about a post corona society: Will people become more internationally oriented? Or will people just look at their own country? As well as asking how behaviour when coping with the pandemic is affected by people's access to information.

I then also looked to engage with my topic and came across an episode “요즘 영국뉴스에 한국이 맨날 나오는 이유: 영국의 충격적인 진실” of the channel KOREAN ENGLISHMAN. Hosted by two english men, Josh Carrott and Ollie Kendal, they have ties to South Korea and an audience in both countries. They compare South Korea to England and we see how their behaviour and approach was different in England due to their connection and knowledge of korean methods and governmental advise. The narrative of this text is of comparison between both countries to identify what actions led them to be so far apart in how affected they have been. They outline different ways both populations conducted themselves during the start of the crisis and how they adopted Korean practices in England such as: adopting the use of masks as soon as there was news of a start of a pandemic, choosing to quarantine themselves before the english government had even begun to acknowledge the severity of the crisis, and so on. I believe this text to address my algorithms curiosity as it serves as an example of how as a globalized society we would benefit significantly from learning from each other. Rather than closing ourselves off to our own countries practices, limiting our access to information and praxis.

In addition, I came across the GROUP THINK BUSINESS MODEL. Coined by Irving Janis who was a social psychologist, It is when a group of people reach a conclusion with no critical thinking. This happens because everyone is like minded. This text by Communication Theory Organisation has the purpose to explain the idea/qualities/prevention of Group Think. It explains that when in this state of herd mentality it is better to have a unanimous decision than to consider other options. I believe this to tie into the concept of confirmation bias as people/friends/families/administrations will surround themselves only with information that favours/confirms their personal beliefs or hypotheses. There is a bigger “emphasis on everyone agreeing and feel threatened if all do not agree on a course of action.” which can be related to the Covid-19 crisis. An example of this relation is how the people may feel threatened if they are the only ones not wearing a mask, or the other way around, by people judging the only one person wearing a mask in a crowd.

Both texts differ to each other as the first has a direct relation to my algorithm and the second addresses a theory not involving the pandemic discourse. However, I believe this theory to connect with the previous text when applying it to a larger context of societies and different countries communities. Therefore if one countries population is only looking at what they are doing and how they are acting, avoiding to look over at how other countries are handling it, this significantly devalues their own actions. With this in mind I hope to prove it with my algorithm. Showing how a dutch citizen will perhaps not have as much of a well-rounded approach/behaviour if only taking in local information, in contrast to a person with a bigger circle of influence.
Theory 1st DRAFT

Text 1- https://www.youtube.com/watch?v=dJTlQC4pmMA&t=607s
Text 2- https://www.communicationtheory.org/groupthink/
I wanted to test this algorithm and so simulated it with Zoho Survey, getting 38 complete data entries. These were my results:
https://survey.zohopublic.eu/zs/DdhX7a
I was able to create a whole new data set from this and I was interested in the answers for question 6 as it more directly suggested the influence global news had.
OUTCOME: I wanted to contextualize my algorithm by creating a service! So here is my application that takes the entries to serve itself and suggest global sources. This would hopefully incentivise the break off from groupthink mentality in a post-corona society.