文春オンライン
文藝春秋が運営するニュースサイト。 文春オンラインは世の中を驚かせるスクープから、毎日の仕事や生活に役立つ話題までニュース、経済、ビジネス、芸能、エンタメ、読書……と幅広い情報をお届けするメディアです。
686,127
Followers
468
Following
84,140
Tweets
301.6
Avg Engagement
3,397
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @bunshun_online'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:2016-11-11
- Verification:Yes
- Location:東京 千代田区紀尾井町
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:233.6
- Avg Retweets per Tweet:67.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,248 tweets投稿の平均いいね数は2万1千以上、リツイートは5千以上で、高いエンゲージメントを示しています。特にスクープや特集記事は高い反響を得ています。
233.6
Avg Likes/Tweet
67.9
Avg Retweets/Tweet
758,769
Total Likes
220,678
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
41
Median Likes
11
Median Retweets
118
75th Percentile
56,934
Top Tweet
0.44
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
88.7%
Original
0.1%
Replies
11.2%
Retweets
0.0%
Quotes
0.0%
Threads
0.0%
With Media
93.0%
With Links
91.4%
With #Tags
11.3%
With @Mentions
2.7%
With Emojis
105
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.0
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Consistent
Regular posting cadence
73.0%
Weekday Posts
27.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,248 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 363 retweets (11% 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 3,248 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 followers主にニュースやエンタメに興味を持つ大人層がターゲットです。特にスポーツや芸能の最新情報に注目しているユーザーが多いです。
Average
Audience Quality
26.5%
Suspicion Index
39.2%
Low-Quality %
12
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
51.0%
Empty Bio
37.7%
<10 Tweets
5.4%
Mass Following (>2K)
0.0%
New (<90 days)
50.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.7%
No URL
27.5%
<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.
12,391,873
Total Potential Reach
12
Median Follower Reach
80
75th Percentile Reach
3.3%
>1K followers
0.3%
>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).
41.6%
Creators
20,777 accounts
20.8%
Consumers
10,386 accounts
37.7%
Dormant
18,837 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):
386
Verified Followers
0.38% of total
15,234
Protected Accounts
15.08% of total
4 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 |
|---|---|---|---|
| @sasakitoshinao | 791,484 | Journalist | journalism, broadcasting, law |
| @wikitree | 324,645 | Voice Actor | Genealogy, Family history, Collaboration |
| @nekokumicho | 255,003 | Author | cats, economics, criticism |
| @nylee21 | 233,339 | Politician | politics, democracy, perseverance |
| @Japangard | 225,408 | Author | police, immigration, speaking |
| @evanyang59plus | 224,886 | Artist | Anime, Art, Language |
| @aveirjapan | 202,303 | Artist | Art, Truth, Picasso |
| @DrTomabechi | 155,147 | Author | psychology, author, privacy |
| @hosshiyan | 144,657 | Actor | シロナガスクジラ, オーロラ, エンジェルホール |
| @yukiruminayabai | 127,464 | Adult Entertainer | sexy, AV debut, digital tattoo |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
48,002
Followers With Bio
52,997
Followers Without Bio
47.53%
% With Bio
52.47%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,248 analyzed200,336
Combined Engagement
162,694
Total Likes
37,642
Total Retweets
40,067
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
100%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
〈半同棲スクープ撮〉NEWS・小山慶一郎（38）とAAA・宇野実彩子（36）が結婚へ #スクープ速報 #週刊文春 #文春オンライン https://t.co/5lgtRGhoQU
〈タッキーが新会社設立〉「滝沢君の育てたジュニアをジュリーさんが使いたがらない」退所を考えるタレントが急増 #文春オンライン https://t.co/4mj0CkjBp9
東京国立博物館の館長が緊急寄稿「このままでは国宝を守れない」 #文春オンライン https://t.co/pMIq9B9TBP
食事に誘うと「社食に行かせて下さい。牛丼で十分ですよ」…大谷翔平、“時間を無駄にしない”ヒーローの生活 文春野球コラム 文春WBC2023 #大谷翔平 #文春野球 #文春オンライン https://t.co/5f9D0O9ezb
「計15回はあった」初めての実名・顔出し告発 元ジャニーズJr.岡本カウアン氏が語るジャニー喜多川氏性加害 #文春オンライン https://t.co/3E6RQbZvlG
Key Insights & Takeaways
スクープや特集記事は高いエンゲージメントを引き出します。 ニュースとエンタメのバランスが取れており、幅広い読者層にアピールしています。 高品質なコンテンツと信頼性がフォロワーの維持に貢献しています。
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 686,127
- + 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 @bunshun_online reveals an well-established Twitter presence with 686,127 followers. The account demonstrates a content-creator strategy, averaging 301.6 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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