国立国会図書館「カレントアウェアネス・ポータル」公式

国立国会図書館「カレントアウェアネス・ポータル」公式

@ca_tweet

国立国会図書館のウェブサイト『カレントアウェアネス・ポータル』で配信中の速報ニュース、「カレントアウェアネス-R」のタイトルを中心にお知らせしています。(基本的に当アカウントからのフォローやリプライは行いませんのでご了承ください。連絡先はウェブサイトをご覧ください。)

京都府相楽郡精華町 https://current.ndl.go.jp/ Joined 2009-12-11 Date of Analysis: Dec 16, 2025

17,019

Followers

32,677

Tweets

7.6

Avg Engagement

1,291

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @ca_tweet'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:2009-12-11
  • Verification:No
  • Location:京都府相楽郡精華町

Data Summary

  • Tweets Analyzed:500
  • Avg Likes per Tweet:4.5
  • Avg Retweets per Tweet:3.0
  • Followers Analyzed:16,826

Engagement Analysis

Based on 500 tweets

The account has moderate engagement with an average of 27 likes and 18 retweets per tweet. It does not actively engage with followers or respond to messages, focusing instead on content delivery.

4.5

Avg Likes/Tweet

3.0

Avg Retweets/Tweet

2,269

Total Likes

1,516

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

3

Median Likes

2

Median Retweets

10

75th Percentile

64

Top Tweet

0.44

Engagement per 1K Followers

Normalized influence metric

Long Tail

Engagement Pattern

Mix of hits and regular posts

Posting Behavior

Content style and format preferences

Broadcaster

Primarily shares original content

100.0%

Original

0.0%

Replies

0.0%

Retweets

0.0%

Quotes

0.0%

Threads

0.0%

With Media

97.8%

With Links

0.2%

With #Tags

0.2%

With @Mentions

0.0%

With Emojis

91

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.0

Reply/Original Ratio

0

Quote/RT Ratio

Posting Rhythm

Consistent

Regular posting cadence

100.0%

Weekday Posts

0.0%

Weekend Posts

Top Hashtags

#everybookitsreader (1)

Most Mentioned

@ライブラリー (1)

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Content Strategy Analysis

Based on 500 tweets

Content Type Distribution

Content Breakdown

Original Tweets 500 (100%)
Replies 0 (0%)
Retweets 0 (0%)
Quote Tweets 0 (0%)

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.

Posting Patterns & Optimal Timing

Based on 500 tweets

Engagement 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 16,826 followers

The primary audience includes librarians, researchers, and cultural institutions interested in digital library projects. It also appeals to those following current developments in information science and cultural heritage preservation.

Good

Audience Quality

15.2%

Suspicion Index

16.8%

Low-Quality %

141

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

24.0%

Empty Bio

13.5%

<10 Tweets

16.4%

Mass Following (>2K)

0.0%

New (<90 days)

25.3%

Low Ratio (<0.1)

0.0%

New (<180 days)

72.7%

No URL

9.6%

<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.

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Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

13,852,162

Total Potential Reach

141

Median Follower Reach

499

75th Percentile Reach

13.2%

>1K followers

1.1%

>10K followers

0.2%

>50K followers

0.1%

>100K followers

Creator vs Consumer Split

Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).

75.1%

Creators

12,628 accounts

11.4%

Consumers

1,922 accounts

13.5%

Dormant

2,276 accounts

147

Verified Followers

0.87% of total

1.6%

Professional Bios

founder, dev, analyst, etc.

0.27

Median Follow Ratio

follower/following

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):

日本 (345) Japan (276) 東京都 (217) 東京 (204) Tokyo (197) Tokyo, Japan (108) 日本 東京 (94) 大阪 (65) 京都 (62) Tokyo-to, Japan (53)

147

Verified Followers

0.87% of total

3,524

Protected Accounts

20.94% of total

10 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
@HmvBooksShibuya 252,285 Bookstore Books, Music, Events
@MuseumWeek 230,770 Cultural Event art, culture, heritage
@mori_art_museum 214,098 Art Museum Contemporary art, Tokyo, Museum
@appbank 201,964 Tech Blogger Apps, Games, Tech
@May_Roma 152,339 IT Consultant IT, 著述家, 国際関係
@BeefEnt 145,313 Music Label Music, Booking, Promotion
@wuokb 133,199 Unknown N/A
@lifehackerjapan 129,428 Productivity Expert Productivity, Lifestyle, Podcasts
@ishiitakaaki 116,973 Journalist Energy, Climate Change, Green Economy
@hon_web 115,423 Book reviewer reading, mystery, non-fiction

Top Keywords in Follower Bios

twitter (222) rt (200) japan (125) japanese (103) love (102) web (94) university (86) art (84) music (80) tokyo (68)

Top Hashtags in Follower Bios

#図書館 (19) #フ (14) #読書 (13) #テ (11) #ハ (9) #jawp (8) #ai (6) #ヒ (6) #本 (6) #司書 (6)

12,791

Followers With Bio

4,035

Followers Without Bio

76.02%

% With Bio

23.98%

% 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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Viral Tweets

Top 5 by likes+RTs from 500 analyzed

268

Combined Engagement

164

Total Likes

104

Total Retweets

54

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

0%

With @Mentions

100%

With Links

Topical Analysis:

Digital Libraries Digitization Cultural Heritage Open-Source Projects Ai In Libraries Classical Texts Cultural Institutions
国立国会図書館「カレントアウェアネス・…
@ca_tweet

株式会社カーリル、ChatGPTによる蔵書検索サポーターの実証実験への協力図書館を募集 | カレントアウェアネス・ポータル https://t.co/s1OOoywrGi

2023-04-05
Retweets: 23 Likes: 41 Engagement: 64
国立国会図書館「カレントアウェアネス・…
@ca_tweet

国立国会図書館、「次世代デジタルライブラリー」への古典籍資料のテキストデータ投入を完了:「NDL古典籍OCR」のソースコード等を公開 | カレントアウェアネス・ポータル https://t.co/7X2gCOaccT

2023-01-31
Retweets: 22 Likes: 41 Engagement: 63
国立国会図書館「カレントアウェアネス・…
@ca_tweet

国文学研究資料館、中原中也記念館所蔵「中原中也自筆資料」502点をデジタル化し公開 | カレントアウェアネス・ポータル https://t.co/nOPjwIqvnV

2023-03-22
Retweets: 23 Likes: 30 Engagement: 53
国立国会図書館「カレントアウェアネス・…
@ca_tweet

浦幌町立博物館(北海道)、マスク自由化に伴い廃棄される資料を収集すると発表:マスク着用を呼び掛けていたポスターやチラシ等 | カレントアウェアネス・ポータル https://t.co/FfFmTLqNB3

2023-03-20
Retweets: 19 Likes: 26 Engagement: 45
国立国会図書館「カレントアウェアネス・…
@ca_tweet

arXiv、ChatGPTをはじめとした文章自動生成ツールに関する新たなポリシーを策定 | カレントアウェアネス・ポータル https://t.co/RuEncaRVyI

2023-02-02
Retweets: 17 Likes: 26 Engagement: 43

Key Insights & Takeaways

The account highlights collaborations with companies and libraries on AI-driven projects. It promotes open-source initiatives related to digitizing classical texts. It shares news about the digital preservation of cultural and literary materials.

Strengths

  • + Established follower base of 17,019
  • + 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 @ca_tweet reveals an growing Twitter presence with 17,019 followers. The account demonstrates a content-creator strategy, averaging 7.6 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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About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025