TIKTOK Habits

By Shengnan Zhou

Topic: Personal Data

Medium: Object

Institute: Politecnico di Milano

Year: a.a. 2023-2024

It always feels like time passes quickly when I use short video apps, and these fragmented messages always take up my time without me realizing it. But in the process I always don’t know what I got and can’t recall what I saw. So I started to review my short video records and when I saw them again I found them very boring and even with a lot of misinformation, most of the short videos I watched turned out to be rubbish in my eyes. I categorized these videos into rubbish and presented them.

Featured image of the project TIKTOK Habits

Complementary image of the project TIKTOK Habits

Metaphor used:

I represent myself by using a bin to categorise the short videos I watch using four types of bins. Bins filled with rubbish is like how I felt after watching the short video, my brain was filled with rubbish.

Intended Meaning:

I think big data will always recommend things that match our viewing habits, which are more about stimulating the senses without actually being relevant. Time will pass in this process, so I want to categorise this content, so that viewers can review their own usage habits through my video content, as well as the content of the video information, and then control their own usage time, so that they can quickly find out and jump out of the information cocoon or shorten their own usage time when receiving a lot of useless, repetitive information.

Source:

A record of the TikTok video watched (2022- 2023), with the content of the video messages organized and categorized.