Bilibili comments on population aging, qualitatively coded (replication data, 2026)

AnalyzedSmalltabulartextBilibili

1,800 Chinese-language comments from Bilibili videos about population aging, pensions and low fertility. Each comment has its like count, the video it came from, in-vivo glosses in Chinese and English, the codes from two coders, an agreed final code and a process-model stage. The package also includes metadata for the source videos and the codebook. Zhangwei Zheng (Sunway University) deposited it on Harvard Dataverse under CC0 as replication data for a study of Bilibili comment discourse on aging.

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Analytics

Content metrics

1,800 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

x like countμ 469.394 ± 2.5K
min 0max 65.6K
-1.4
Flesch–Kincaid grade
US school grade level
29.9
Automated readability index
Frequent terms
doge辣眼睛无后为大不孝有三嗑瓜子脱单doge喜极而泣doge_金箍给心心为无后也舜不告而娶说实话打call君子以为犹告也很简单星星眼但还是不想生孩子有上升空间且在上海有房有车无贷可怜天下父母心城乡居民对女性来说结婚生育太不友好了特别是职场女性说白了不做父母我省心不结婚为什么举个例子养儿防老可以啊吃饭时嫌人多同32岁哈哈哈哈哈哈哈干活时嫌人少我不知道李姐万岁没办法灵魂出窍40004年前也住过一次drgtv_冷漠tv_晕一人吃饱一分不用花一定要交三明医改不买房
Topic clusters

Topic 0

疑惑
手机
多好
一人吃饱
你做梦呢
哦对了
全家不饿
没钱

Topic 1

难过
确实
不买房不买车
有钱就交
还不如不生
生病
不结婚
大笑

Topic 2

偷笑
哈哈哈
还是那句话
哈哈哈哈哈哈哈哈哈哈哈哈哈哈
我也是
如果可以
嘘声
捂脸

Topic 3

12
嘘声
因为
哈哈哈哈哈哈哈哈哈哈哈哈哈哈
哈哈
不会
大哭
是的

Topic 4

70
笑哭
不买房
4000
兄弟
分配没搞好
集采
三明医改

Topic 5

doge
脱单doge
doge_金箍
可以啊
星星眼
不会
还有
生孩子

Topic 6

星星眼
你做梦呢
兄弟
一分不用花
工作50年
加油
太拼命工作
现在想想

Topic 7

有钱就交
不会吧不会吧
喜极而泣
笑死
孩子
星星眼
打call
思考

Topic 8

还是那句话
补充医疗保险
妙啊
真的
嗑瓜子
笑哭
吃瓜

Topic 9

嗑瓜子
偷笑
大哭
没办法
呲牙
说实话
无语
微笑

Topic 10

交公粮
人口减少
说真的
总结
大哭
为什么
笑死
呵呵

Topic 11

这么说吧
左右
没办法
15
确实
笑哭
Show all 26 topics

Topic 12

确实
大哭
吃瓜
笑哭

Topic 13

笑死了
怪我咯
没孩子
一人吃饱
全家不饿
不会吧不会吧
妙啊
说实话

Topic 14

真的
不买房
不生娃
学习
举个例子
不结婚
疑惑
嗑瓜子

Topic 15

给心心
可怜天下父母心
我也是
tv_冷漠
哦呼
星星眼
妙啊
笑哭

Topic 16

没事
怪我咯
事业单位
一分不用花
好了
tv_晕
歪嘴
很简单

Topic 17

耳聪目明
还有
怎么说呢
还不如不生
哦对了
好了
70
没办法

Topic 18

灵魂出窍
微笑
大哭
吃瓜
妙啊

Topic 19

笑死了
哈哈
吃瓜
喜极而泣

Topic 20

抠鼻
哈哈哈哈
辣眼睛
笑哭

Topic 21

无后为大
喜极而泣
藏狐
笑哭

Topic 22

一定要交
今年30
确实
吃瓜
笑哭

Topic 23

哦呼
举个例子
偷笑
笑哭

Topic 24

doge
工作50年
滑稽
脱单doge
歪嘴
ok
妙啊

Topic 25

说真的
公务员
吃瓜

Computed over the full corpus.

Record

Catalog key
bilibili-population-aging-comments-coded
Authors
Zhangwei Zheng
Year
2026
Source paper
Replication Data for: “From macro aging narratives to personal response scripts: A process model from bilibili comment discourse”
DOI / arXiv
10.7910/dvn/s5owgu
License
CC0 1.0 (Public Domain Dedication) (CC0-1.0)
Records
1,800
Languages
zh
Collected
Comments collected from a search on 2026-01-09; the videos shown in the profile were uploaded between 2021 and 2025 (2020s)
Region
East Asia (inferred: from the language of the data)

Provenance

Originally published at
https://doi.org/10.7910/DVN/S5OWGU unverified
Original files as received
The source files, unconverted, kept for reference: mirrored on echo.directory on 2026-11-08, 298.7 KB across 2 files. Checksums in MANIFEST.json. For use, start with the data package below.
Data package
Version 1.0.0 of this dataset as an ECHO Data Package: posts (1,800 rows), threads (11 rows), x_codebook (26 rows).
Structure
Text, Threaded conversations

How to cite

BibTeX

@misc{echo2026,
  title  = {ECHO: Exploratory Compendium of Humanity Online},
  author = {Switzer, Braden and Zafarani, Reza},
  year   = {2026},
  url    = {https://echo.directory},
  note   = {Syracuse University}
}

@misc{zheng2026bilibiliaging,
  title     = {Replication Data for: From macro aging narratives to personal response scripts: A process model from bilibili comment discourse},
  author    = {Zheng, Zhangwei},
  year      = {2026},
  publisher = {Harvard Dataverse},
  version   = {V2},
  doi       = {10.7910/DVN/S5OWGU},
  url       = {https://doi.org/10.7910/DVN/S5OWGU}
}

APA

Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory

Zhangwei Zheng (2026). Bilibili comments on population aging, qualitatively coded (replication data, 2026) [Data set]. https://doi.org/10.7910/dvn/s5owgu

MLA

Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.

Zhangwei Zheng. Bilibili comments on population aging, qualitatively coded (replication data, 2026). 2026, doi.org/10.7910/dvn/s5owgu.

BibTeX · RIS · CSL-JSON

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