毎日新聞 校閲センター
誰にでも読みやすく正確に伝わることを目指す「新聞の日本語」や、校閲の技術、文字や言葉の話題をお届けします 📖著書「#校閲至極」「#校閲記者も迷う日本語表現」「#校閲記者の目」など ✍大好評 #校閲力講座🎞校閲記者が書き込んだ #学べるゲラ📝ことばのプロを招く #ことば茶話🍵#校閲クイズ🖍#きょうの直し
116,898
Followers
44,826
Following
38,888
Tweets
104.4
Avg Engagement
1,857
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @mainichi_kotoba'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:2011-04-07
- Verification:No
- Location:東京・竹橋／大阪・梅田
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:78.2
- Avg Retweets per Tweet:26.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,250 tweetsThe account maintains a consistent level of engagement with average likes and retweets, indicating a loyal and active audience. Its content often sparks discussions and questions from followers.
78.2
Avg Likes/Tweet
26.3
Avg Retweets/Tweet
254,010
Total Likes
85,332
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
46
Median Likes
11
Median Retweets
93
75th Percentile
39,176
Top Tweet
0.89
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
90.0%
Original
0.6%
Replies
9.2%
Retweets
0.2%
Quotes
0.0%
Threads
0.0%
With Media
98.7%
With Links
60.0%
With #Tags
9.4%
With @Mentions
5.4%
With Emojis
114
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.01
Reply/Original Ratio
0.02
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
70.8%
Weekday Posts
29.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 300 retweets (9% 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 3,250 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 students, language learners, and professionals interested in Japanese language and writing. It also appeals to those working in journalism, editing, and content creation.
Good
Audience Quality
17.4%
Suspicion Index
22.1%
Low-Quality %
38
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
30.2%
Empty Bio
19.5%
<10 Tweets
5.5%
Mass Following (>2K)
0.0%
New (<90 days)
39.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
83.0%
No URL
14.1%
<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.
4,120,887
Total Potential Reach
38
Median Follower Reach
182
75th Percentile Reach
5.1%
>1K followers
0.5%
>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).
65.7%
Creators
6,567 accounts
14.8%
Consumers
1,485 accounts
19.5%
Dormant
1,948 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):
48
Verified Followers
0.48% of total
2,693
Protected Accounts
26.93% of total
6 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 |
|---|---|---|---|
| @kadokawa_san | 435,538 | Book Blogger | Books, Movies, Animals |
| @maxellJP | 199,079 | Electronics | Within, Future, Analog |
| @taipeinavi | 100,268 | Travel Blogger | Travel, Taiwan, Taipei |
| @saikireika | 90,466 | Wrestler | Quiz, Mystery, Ambassador |
| @paristexas2009 | 83,855 | Investor | Investing, Technical Analysis, Fundamental Analysis |
| @cheesegarden | 64,136 | Cheesecake Maker | Cheesecake, New products, Recommendations |
| @uguisujyo_KCCo | 61,216 | Voice Actress | MC, Voice Professional, Talk Magic |
| @uha_mikakuto_ec | 48,416 | Confectionery | Snacks, Online shopping, Autophagy |
| @t_wada | 43,703 | - | - |
| @toubennbenn | 41,839 | Researcher | 森友, 加計問題, 安倍答弁 |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,981
Followers With Bio
3,019
Followers Without Bio
69.81%
% With Bio
30.19%
% 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 3,250 analyzed72,913
Combined Engagement
49,091
Total Likes
23,822
Total Retweets
14,583
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
「欲しい」は、「～が欲しい」という場合は漢字ですが、「～してほしい」など動詞に付いて「そうしてもらいたい」といった意味になる場合は平仮名にします。こういった付属的な意味を添えるため補助的に使われる語は漢字にしないのが基本になっています。 https://t.co/DjYuy6LdX4
RT @Pokemon_cojp: 藤田ニコルさんのお名前の記載に誤りがございました。 誤：藤田二コルさん 正：藤田ニコルさん お詫びして訂正させていただきます。
「～して欲しい」は「～してほしい」と、ひらがなで書くルールがあることを紹介したところ、多くの反響をいただきました。漢字で書けるのにひらがなで書く言葉は他にもいろいろあります。その理由や見分け方、どんなものがあるかなど、少し詳しく説明してみます。 https://t.co/M5Go1Ayeev
法的に結婚することを「入籍する」と表現されることは多いのですが、入籍とは、既にある戸籍に入ること。現在は結婚すると新しい戸籍が作られるのが基本なので「入籍」は誤用になります。 https://t.co/kjY8hM3EP0
よく混同される言葉の代表格「おざなり」と「なおざり」。ものすごくざっくり言えば、「おざなり」は「その場しのぎ」、「なおざり」は「軽視・放置」です。写真の例のように「分配の視点がおざなり」では意味が通じないので「なおざり」が適切です。 https://t.co/GhQ8DjvlxZ
Key Insights & Takeaways
The account highlights the importance of using hiragana for certain expressions, such as 'してほしい', which is often misused as kanji. It clarifies that '入籍' is considered an incorrect term for marriage due to changes in legal procedures. The account frequently addresses common language errors and provides explanations for why certain words are written in hiragana rather than kanji.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 116,898
- + 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 @mainichi_kotoba reveals an well-established Twitter presence with 116,898 followers. The account demonstrates a content-creator strategy, averaging 104.4 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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