刘晓原
中华人民共和国司法部欠我一个行政复议的说法，中华人民共和国四级法院（北京通州区法院、北京市三中法院、北京市高级法院、最高法院）欠我一个立案的说法。
163,673
Followers
1,650
Following
20,149
Tweets
135.8
Avg Engagement
769
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @liu_xiaoyuan's Twitter/X presence across multiple dimensions. We analyze tweet content, engagement patterns, audience demographics, posting habits, and network connections to provide actionable insights about this account's social media strategy and influence.
Account Classification
- Account Size: Macro Influencer (100K+)
- Account Age:2009-07-31
- Verification:No
- Location:暂住地球
Data Summary
- Tweets Analyzed:3,200
- Avg Likes per Tweet:97.1
- Avg Retweets per Tweet:38.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,200 tweetsHis tweets are highly engaging, with a consistent average number of likes and retweets, indicating a strong and active audience.
97.1
Avg Likes/Tweet
38.6
Avg Retweets/Tweet
310,844
Total Likes
123,655
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
40
Median Likes
12
Median Retweets
121
75th Percentile
25,028
Top Tweet
0.83
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
76.7%
Original
0.2%
Replies
0.2%
Retweets
23.0%
Quotes
0.0%
Threads
0.0%
With Media
93.4%
With Links
0.2%
With #Tags
0.6%
With @Mentions
10.2%
With Emojis
95
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.0
Reply/Original Ratio
147.0
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
72.7%
Weekday Posts
27.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,200 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 5 retweets (0% of activity) show they also amplify content from others, which helps build relationships with other accounts and provides value to followers by surfacing relevant content.
Posting Patterns & Optimal Timing
Based on 3,200 tweetsEngagement by Hour (UTC)
Posting Frequency Over Time
Timing Insights
Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.
Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.
Audience Demographics
Based on 50,000 followersHis audience likely includes individuals interested in political and legal discussions in China, as well as those who follow social commentary and activism.
Average
Audience Quality
34.4%
Suspicion Index
43.5%
Low-Quality %
12
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
53.2%
Empty Bio
46.4%
<10 Tweets
8.2%
Mass Following (>2K)
0.0%
New (<90 days)
75.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.6%
No URL
33.9%
<3 Tweets
Free Mode Analysis: These quality metrics use heuristic signals (empty bios, low tweets, suspicious ratios). For ML-powered bot detection with 95%+ accuracy, use our dedicated tool.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
14,162,327
Total Potential Reach
12
Median Follower Reach
49
75th Percentile Reach
2.4%
>1K followers
0.4%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
31.4%
Creators
15,693 accounts
22.2%
Consumers
11,106 accounts
46.4%
Dormant
23,201 accounts
Follower Influence Distribution
How many followers do their followers have?
Follower Account Age
How long have followers been on Twitter?
Geographic Distribution
Top locations where followers are based (from those who share location data):
107
Verified Followers
0.11% of total
14,395
Protected Accounts
14.25% of total
5 years
Avg Account Age
of their followers
Notable Followers (By Influence)
Top accounts following this user, sorted by their follower count:
| Username | Followers | Profession | Interests |
|---|---|---|---|
| @UNHumanRights | 4,054,257 | Human Rights | United Nations, Human Rights, StandUp4HumanRights |
| @realcaixia | 599,362 | Academic | Communist Party, Education, Disengagement |
| @djkingassassin | 472,225 | DJ | Music, Club, Producer |
| @chenqiushi404 | 462,497 | Journalist | Law, Journalism, Education |
| @baotong1932 | 282,302 | Activist | China, Citizen, Bao Tong |
| @Terenceshen | 278,348 | YouTuber | YouTube, politics, current events |
| @joshrogin | 273,652 | Journalist | Foreign policy, National security, Journalism |
| @torontobigface | 257,958 | - | - |
| @MJTVHoPin | 243,200 | Media Strategist | Media, Value, Ecosystem |
| @GaoFalin | 225,229 | Historian | Culture, History, Philosophy |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
43,499
Followers With Bio
57,499
Followers Without Bio
43.07%
% With Bio
56.93%
% Without Bio
Why Audience Demographics Matter
Understanding who follows an account reveals the type of influence they hold. Accounts followed primarily by users with few followers indicate broad, mainstream appeal. Those with many high-follower followers have greater potential for content amplification through secondary sharing.
Account age distribution also tells a story: a follower base with many new accounts might indicate recent viral growth, while established followers suggest long-term, stable influence. Geographic data helps understand the cultural context and timezone spread of the audience.
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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,200 analyzed38,910
Combined Engagement
10,575
Total Likes
28,335
Total Retweets
7,782
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
60%
With Links
Topical Analysis:
RT @RealCandaceO: It’s heartbreaking to read what police officers are going through all across the country, at the expense of one idiot. E…
9月5日，天安门飞来一只黑天鹅。 https://t.co/IhkBWUagqm
乔治·华盛顿：禁止言论自由，只有三个解释：它过去作了坏事，怕人们提起；它正在干坏事，怕人们批评；它准备干坏事，怕人们揭露。总之，禁止言论自由一定与坏事相关，绝对不是好事。
河南人民的政治觉悟还是很高的，这不，又成功地阻止了外媒记者拍摄。🤭 https://t.co/Jx47DRMIuz
中国政法大学教授罗翔：中国的根本大法、基本大法，永远是什么法呢？——领导的看法。 https://t.co/ZNycVTegU2
Key Insights & Takeaways
His content often focuses on legal and political grievances, which may reflect a broader sentiment among some segments of the population. He frequently uses references to historical and political figures, suggesting a strategic approach to communication. His tweets often include links to external content, indicating a desire to share additional context or sources.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 163,673
- + Strong original content creation
- + Active presence with consistent posting
Opportunities
- ~ Optimize posting times for peak engagement windows
- ~ Analyze top-performing content for replicable patterns
- ~ Leverage geographic concentration for targeted content
- ~ Explore collaboration potential with followed accounts
Summary
This analysis of @liu_xiaoyuan reveals an well-established Twitter presence with 163,673 followers. The account demonstrates a content-creator strategy, averaging 135.8 engagements per tweet. Key strengths include consistent posting and an engaged audience, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.
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