대한민국 대법원
국민과 함께하는 좋은 재판, 대한민국 대법원 공식 트위터를 방문해 주신 여러분! 감사합니다.
70,955
Followers
36,650
Following
2,612
Tweets
12.2
Avg Engagement
242
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @scourtkorea'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: Mid-Tier (10K+)
- Account Age:2011-01-21
- Verification:Yes
- Location:Not specified
Data Summary
- Tweets Analyzed:2,573
- Avg Likes per Tweet:4.9
- Avg Retweets per Tweet:7.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 2,573 tweetsThe account maintains a high level of engagement with average likes and retweets, indicating strong audience interaction.
4.9
Avg Likes/Tweet
7.3
Avg Retweets/Tweet
12,484
Total Likes
18,869
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
3
Median Retweets
9
75th Percentile
5,671
Top Tweet
0.17
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
94.6%
Original
4.9%
Replies
0.1%
Retweets
0.3%
Quotes
0.0%
Threads
0.0%
With Media
90.2%
With Links
35.6%
With #Tags
6.6%
With @Mentions
0.1%
With Emojis
129
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.05
Reply/Original Ratio
4.5
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
98.6%
Weekday Posts
1.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,573 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 2 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 2,573 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 10,000 followersThe primary audience includes the general public interested in legal matters and entertainment fans due to collaborations with celebrities.
Average
Audience Quality
34.7%
Suspicion Index
55.4%
Low-Quality %
5
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
56.1%
Empty Bio
65.5%
<10 Tweets
2.8%
Mass Following (>2K)
0.0%
New (<90 days)
56.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.3%
No URL
54.6%
<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.
3,105,723
Total Potential Reach
5
Median Follower Reach
18
75th Percentile Reach
1.4%
>1K followers
0.1%
>10K followers
0.0%
>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).
18.9%
Creators
1,887 accounts
15.7%
Consumers
1,568 accounts
65.5%
Dormant
6,545 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):
9
Verified Followers
0.09% of total
1,049
Protected Accounts
10.49% of total
3 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 |
|---|---|---|---|
| @moonriver365 | 2,173,718 | Politician | politics, leadership, nation-building |
| @Kr_Justice | 81,036 | Politician | politics, justice, activism |
| @koryodynasty | 42,233 | - | - |
| @paarkjihy_20 | 36,568 | - | - |
| @developermin1 | 23,970 | - | - |
| @hanalsae1 | 22,947 | - | - |
| @sammy9197 | 21,967 | - | - |
| @zzirracc | 14,542 | - | - |
| @lawmaker2024 | 13,754 | - | - |
| @MikeyJeong | 13,298 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,387
Followers With Bio
5,613
Followers Without Bio
43.87%
% With Bio
56.13%
% 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 2,573 analyzed9,215
Combined Engagement
4,088
Total Likes
5,127
Total Retweets
1,843
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
100%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
사법부 최초 웹드라마 '로맨스 특별법' 시사회(10.23. 18:30 상암CGV)에 여러분을 초대합니다. DM으로 응모 내용을 10월19일까지 보내주세요(응모방법 꼭 확인) #VIXX #한상혁 #Apink #박초롱 #김민규 #류진 #무대인사 #이벤트 https://t.co/AQkPkIJyx0
<#대법원 #전원합의체 #공개변론> 치과의사의 보톡스 시술, 의료법 위반에 해당할까요? 의료법위반 사건에 대한 전원합의체 공개변론이 대법원에서 열립니다(5.19.[목] 14시). #치과 #보톡스 #의료법 https://t.co/Zqyi0CsAgF
<알기 쉬운 #법률용어> 구형과 선고형 https://t.co/xKtv5jhldA
#의료법 위반 사건에 대한 #대법원 #전원합의체 #공개변론 이 오후2시20분부터 온라인 #생중계 됩니다. PC: https://t.co/vaOPMxCm8d 모바일: https://t.co/Wy6kglmfpP https://t.co/aETIyL7hOC
오늘은 제69주년 제헌절입니다. 제헌절은 대한민국 헌법이 제정되고 공포된 것을 기념하는 날입니다. 뜻깊은 오늘, 우리나라의 '헌법'과 '제헌절'의 의미를 함께 되새겨보는건 어떨까요? :) #제헌절 #헌법 #법 #7월17일 https://t.co/KvzG81dQa0
Key Insights & Takeaways
The account uses celebrity collaborations to attract attention and increase engagement. It promotes legal education through accessible content like web dramas and simplified legal terms. It actively invites audience participation through events and contests.
Strengths
- + Established follower base of 70,955
- + 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 @scourtkorea reveals an growing Twitter presence with 70,955 followers. The account demonstrates a content-creator strategy, averaging 12.2 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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