华尔街日报中文网 engagement report
@ChineseWSJ - 3.3M followers on X
Measured over 744 original posts from a 30-day window, last computed on October 31, 2026.
Engagement
A typical post picks up 16 interactions against 3.3M followers, an engagement rate of 0.001%. Posts are seen about 17K times each, and 0.093% of those impressions turn into an interaction. That is about 0.517% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 24.8 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 13:00 UTC, and Thursday is the busiest day of the week. Of the 744 posts sampled, 100% link out. The account's strongest tracked post pulled 663 interactions, about 41x its own typical post. Recurring topics include #本周热读, #独家, #视频.
Measured over 744 original posts from a 30-day window, last computed on October 31, 2026. Recurring tags: #本周热读, #独家, #视频.
Where this sits in the catalog
At 0.001%, 华尔街日报中文网 sits below the 10th percentile of the 217,745 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.149% |
| 75th percentile | 0.704% |
| 90th percentile | 2.63% |
| 99th percentile | 82.5% |
This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built
Posting timing
This account posts most often around 13:00 UTC, and Thursday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 00:00 UTC | -1% | 89K |
| 01:00 UTC | -2% | 90K |
| 02:00 UTC | -3% | 88K |
| 03:00 UTC | -4% | 94K |
| 04:00 UTC | -5% | 76K |
| 05:00 UTC | -4% | 75K |
| 06:00 UTC | -5% | 86K |
| 07:00 UTC | -5% | 93K |
| 08:00 UTC | -4% | 108K |
| 09:00 UTC | -4% | 124K |
| 10:00 UTC | -3% | 129K |
| 11:00 UTC | -3% | 141K |
| 12:00 UTC | -3% | 154K |
| 13:00 UTC | -3% | 167K |
| 14:00 UTC | -4% | 173K |
| 15:00 UTC | -2% | 176K |
| 16:00 UTC | -3% | 171K |
| 17:00 UTC | -3% | 159K |
| 18:00 UTC | -2% | 149K |
| 19:00 UTC | -2% | 141K |
| 20:00 UTC | -1% | 131K |
| 21:00 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
Formats this account uses
Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 2% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 100% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | -3% | -3% to -2% | 54K |
- 2% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
- 100% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
- Its average post runs 106 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below the same accounts' other posts.
These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.
Best tweets
- Oct 25, 202641x their median
#本周热读 乌克兰总统泽连斯基坐在一列夜行列车上,心情低落。就在这时,他决定不再对特朗普客气。据当时在场的一位人士透露,泽连斯基收到消息,俄罗斯导弹猛烈袭击了基辅,而美国已连续第二天没有像往常一样发出导弹发射预警。https://t.co/P82WjqKtoz
- Sep 14, 202629x their median
#独家 据知情美国官员透露,伊朗7月份发动导致三名美军丧生的袭击前,德黑兰方面从几家中国实体处获取了约旦该基地的高分辨率卫星图像。这些官员表示,这是迄今为止最明确的证据,表明中国在战争期间对伊朗的支持给美军造成了致命后果。https://t.co/KUalRZOY2h
- Sep 11, 202628x their median
Anthropic在报告中表示,其中一些手段超出了公司使用的常规蒸馏方法,更像是精心筹划的非法手段。在一个案例中,用户要求月之暗面的Kimi AI服务分析由成都数百个闭路电视摄像头拍下的某人监控数据。报告还指出:“用户根本无从得知他们在Kimi上的操作被转发给了Claude。” https://t.co/RnmfVdcPtL
- Oct 7, 202628x their median
一对在中国出生的夫妇向全美多地的代孕母亲付费为其生下20多个孩子,他们于周二被捕。洛杉矶县地方检察官称这是一起“前所未有的虐待儿童案”,在这对夫妇的豪宅中发现14名婴幼儿,两人授权保姆殴打和体罚这些孩子,有时还指挥施虐。 https://t.co/klLS1nUzzH
- Oct 17, 202626x their median
#本周热读 在习近平治下,中国正陷入危险的债务膨胀循环,抑制了国内经济,也使世界各地贸易伙伴的利益受损。https://t.co/tgOWDcEOT5
- Sep 7, 202625x their median
两岸分离七十余载,塑造了两地民众截然不同的宗教生活。工作日的清晨,台北的庙宇挤满了焚烧供品、轻声祷告的普通人。对于一个在中国大陆长大的人来说,宗教受制于国家管束乃是“理所应当”,乍见此景,本报记者感到一丝恍惚和错愕。https://t.co/V1qkHX9KB6
- Aug 31, 202625x their median
席卷尼泊尔北部和中国西藏部分地区的特大洪灾已导致超过3,000人失踪。尼泊尔方面提出疑问,即中方是否本可以对这场灾难发出一些预警。https://t.co/pwP5DdElmG
- Sep 8, 202622x their median
中国车灯龙头企业星宇股份在录用100多名应届大学毕业生仅一个月后就将他们解雇,引发官方通报批评。学者表示,这种高度关注不同寻常,裁员事件“非常普遍,而且从未遇到过有组织的抵制和曝光”。https://t.co/tL91BHc8oZ
- Aug 18, 202622x their median
报道称,今年谷歌在越南成功开发和生产高端Pixel手机,让谷歌有信心推进2027年将Pixel生产迁出中国的时间表。https://t.co/jg20rXSSWT
- Oct 19, 202621x their median
从内阁部长到中层幕僚,总统特朗普的工作人员正在纷纷联系律所,寻求法律咨询。如果民主党在中期选举中赢得参众两院中的一院或两院,他们准备应对明年将要接踵而至的大量调查。https://t.co/9UjnENvsoJ
Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.
Recurring topics
The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.
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Reading these numbers
A typical post picks up 16 interactions against 3.3M followers, an engagement rate of 0.001%. Posts are seen about 17K times each, and 0.093% of those impressions turn into an interaction. That is about 0.517% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 24.8 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 13:00 UTC, and Thursday is the busiest day of the week. Of the 744 posts sampled, 100% link out. The account's strongest tracked post pulled 663 interactions, about 41x its own typical post. Recurring topics include #本周热读, #独家, #视频.
- What is 华尔街日报中文网's engagement rate on X?
- 华尔街日报中文网 (@ChineseWSJ) has an engagement rate of 0.001%, based on the median interactions across 744 original posts from the last 30 days against 3,340,017 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.001%, 华尔街日报中文网 sits below the 10th percentile of the 217,745 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
- Does @ChineseWSJ have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @ChineseWSJ post?
- Most posts go out around 13:00 UTC, and Thursday is its busiest day, at roughly 24.83 posts per day across the measured window.