REFLECTION
WEEK 2
HOW TO CREATE A WEBSITE?
HTML is a unique language for the internet (browser) to read and understand our ideas, tell the browers how we would like our website looks like through the HTML. Then the website will be shown on the way exactly what we want. (If HTML are all correct.)
CSS is the main tool to design the visual part of the website, how we would like our website looks like, in what colors and font styles.
Therefore I should be careful will all the details in the HTML files, I belive the visual display plays the role in attracting more views on the website. So I would like to learn more on playing with the css, how to play with the colors and font styles.
Another thing is the safe question when playing with the website, it a complex thing that can not be solve by myself, just keep in mind that do follow the steps told by our seminar leader when uploading our HTML.
Week 3
Web Scraping
Web Scraping means taking data from webpage, transfer the data to be able to analysis and apply the useful data to other works. From the video I watched before the workshop, I get to know the way of geting data and then transfer to useful information.
ETL means extract the data, then transform the data to usefel information and load the information into database.
ELT means extract the data, then load all the data into the databese and transform all the data to useful information in the database.
Data means a lot of information, like the example website from the workshop (BBC Chanel 4), we can get the data like how many people watch this movies. And for the social media, web scraping could help to understand the public opinions from the data.
Web Scraper is one of the tool to help geting data from the web page. I am still a bit confuse in using this. Sometime it works but sometimes it dosen't. I still need to spend more time on handeling this tool.
WEEK 4
In week 4 we worked as a team to find the data. Our team chose the second scenario, university-ledndata collection, the data need to be related to digital engagement.
At the begining, our working topic was the relation between digital engagement and student performances. Then the useful data will be:
1.In a certain major for example in digital media, how many student download the lecture powerpoint?
2.How many students review the recorded lectures after class.
3.The final marks of students.
However, we can't access to these personal information, and we do not have time to do the survey,so it can not work to collect the data. Then we did not dicide the final working topic in the workshop. After the workshop, me and Jieyu Fu find out it will be easier to look up some data in the social media like instagram and facebook, the topic could be related to the mental health.Changes of students' health status over an acadamic year became our working topic.
WEEK 5
Data Visualisation
In this workshop, we reviewed the data we collected last week. but unfortunately the data we had are not enough. Since we can not use web scraping to collect data from social media like facebook and instagram. And we found that our original topic was to find out how students' mental health changed in an acadamic year, but the data we had could only used to analyse the official accounts of the university tried to help solving mental issues through the posts.
Therefore we used the data based to create the chats.
WEEK 6
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WEEK 7
Machine Learning
In week 7 we learned about teachable machine, according to Broussard(2023), Machine learning is a branch of computational statistics and artificial intelligence. In order for the machine to learn, we need to provide data and give the computer instructions to create a model.
We made some interesting task in the workshop. First, we just take some photo of ourselves and some personal items like phone and cups. And the machine could recognize me and other items. But it made mistakes when other items hve the same similar colours.
And my teammate tried something more interesting, she upload a set of pictures of animals(cats, dogs and foxes), then she invited other classmates to try and see what kind of animal the machine will classify them as. And I was defined as dogs. And I don't really know why my answer is dog.
Broussard, M. 2023. More than a glitch : confronting race, gender, and ability bias in tech. Cambridge: The MIT Press.
WEEK 8
Identity, Algorithmic Identity, and Data
DATA is one of the most inportant part in digital world. In our daily life we input data and recieve output data from ll kinds of media.
In the begining of the class, we checked what kind of personal data we could found from the social media we used. Bsed on Weibo, I could find my date of birth, hometown and gender form my personal pages, and the topic I am interested in could also be found. Then when I change the platform to google chrome, in the adverts recommand part, google tried to show me some adverts with men's products, pets and travel. Which could see that google can not know my gender based on the information I provided.
Algorithms are "are encoded procedures for transforming input data into a desired output, based on specified calculations" (Gillespie,2014, p.167)They aew able to accurately filter information of current interest to the user from data sets containing personal activities and preferences. Last year, I shared the parfume I bought recently to my WeChat Moment, and that time I could see more parfume adverts and duty-free stories onling shopping adverts. This kind of adverts suggestions did suit my shopping preferences at the time. But I got a feeling of being watched. When people benifit from algorithms and feel uncomfortable with algorithms guessing their preferences at the same time, it might cause "algorithm anxiety" (de Vries and Schinkel, 2019).
In de Vries and Schinkel's(2019) research, I was inspired by the artists using masks to confuse the facial recognition algorithm. What can I do to cover a "mask" when using the social media? Sometime I told them I am a male user, then I only post on WeChat Moment and I just browse the content on other platforms, with few like and comments. I don't know whether it works, but that's my mask to the algorithms.
de Vries, P. and Schinkel, W. 2019. Algorithmic anxiety: Masks and camouflage in artistic imaginaries of facial recognition algorithms. Big data & society. 6(1).
Gillespie, T., Boczkowski, P.J. and Foot, K.A. 2014. Media technologies : essays on communication, materiality, and society. Cambridge, Massachusetts: The MIT Press.
WEEK 9
Digital Ethnography
In digital ethnography, we are often in mediated contact with participants rather than in direct presence. [We] might be in conversation with people throughout their everyday lives. We might be watching what people do by digitally tracking them, or asking them to invite us into their social media practices. Listening may involve reading, or it might involve sensing and communicating in other ways. Ethnographic writing might be replaced by video, photography or blogging" (Pink et al., 2015, p.3).Digital ethnography allows researchers to engage with participants without geographical constraints, which provides unlimited and unprecedented opportunities for cross-cultural and global research.
Reflect on Sumpter's Method sheet, I found most if my feirend prefer to share their travel stories, most of the contents are postive and happy, even it might be different from how they perfrom in the realy life.
Online community allow us to meet more people who have the same interests. My online community is about Korean boy band and my partner is about mobile games, we all got to know new things. But I spent a long time to understand how to play the game and my partner also take a long time to understang why a group of 13 members named Seventeen.I guess my partner is attracted by the bueutiful layout of the game and I am right.
Reference
Pink, S., Horst, H.A., Postill, J., Hjorth, L., Lewis, T. and Tacchi, J. 2016. Chapter 6: Researching Social Worlds. IN: Digital ethnography : principles and practice. Los Angeles: SAGE, pp. 101-122
WEEK 10
Interactive Narratives
Data Visualisation
Cybertext "focuses on the mechanical organisation of the text, by positioning the intricacies of the medium as an integral part of the literary exchange" (Aarseth, 1997, p.1).Cybertext is not limited to traditional literary works, but also includes a variety of text forms created using digital technologies, such as e-books, online games, social media, etc.
The game I played in the first part of workshop was space forg. As the main character forg, I being food with me when traveling to other planet, I share my food to the sheep and finally sent the star to my best friend space cat as a gift.
And our story is based on our daily life, we designed our background as Christmas break, the player need to manage how to spend the time. But we did not finsh designing our story yet.
Reference
Aarseth, E. J. 1997. Introduction: Ergodic Literature (excerpt). In: Cybertext Perspectives on Ergodic Literature. Baltimore: Johns Hopkins University Press
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