茨城新聞社
PCサイトや携帯サイトhttps://f.ibarakinews.jp/、スマホアプリ「茨城新聞電子版」の「中の人」DX推進局員（部署名が変わりました！）が茨城のニュースを中心にツイートします。
122,326
Followers
39,264
Following
53,895
Tweets
31.6
Avg Engagement
2,909
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ibarakishimbun'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:2009-10-09
- Verification:No
- Location:茨城県水戸市笠原町978-25 茨城県開発公社ビル
Data Summary
- Tweets Analyzed:3,213
- Avg Likes per Tweet:15.0
- Avg Retweets per Tweet:16.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,213 tweetsThe account has a moderate level of engagement, with an average of 1,025 likes and 204 retweets per tweet. The content is well-received and often shared across platforms.
15.0
Avg Likes/Tweet
16.6
Avg Retweets/Tweet
48,188
Total Likes
53,387
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
7
Median Retweets
26
75th Percentile
4,535
Top Tweet
0.26
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
39.9%
Original
0.1%
Replies
60.0%
Retweets
0.0%
Quotes
0.0%
Threads
0.0%
With Media
93.9%
With Links
9.4%
With #Tags
73.1%
With @Mentions
5.1%
With Emojis
90
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.0
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
79.6%
Weekday Posts
20.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,213 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 1,928 retweets (60% 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 3,213 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 followersThe primary audience is residents of Ibaraki Prefecture and individuals interested in local news and digital transformation. The content is tailored to inform and engage the local community.
Average
Audience Quality
33.4%
Suspicion Index
52.2%
Low-Quality %
3
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
60.4%
Empty Bio
54.4%
<10 Tweets
5.3%
Mass Following (>2K)
0.0%
New (<90 days)
58.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.7%
No URL
44.0%
<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.
13,716,516
Total Potential Reach
3
Median Follower Reach
41
75th Percentile Reach
3.4%
>1K followers
0.2%
>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).
29.5%
Creators
14,746 accounts
16.1%
Consumers
8,047 accounts
54.4%
Dormant
27,207 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):
167
Verified Followers
0.17% of total
13,029
Protected Accounts
12.9% of total
8 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 |
|---|---|---|---|
| @benlandis | 2,846,704 | - | - |
| @alispagnola | 2,347,777 | Musician | Music, Comedy, Fitness |
| @BeatsByAssassin | 2,261,058 | Multitalented | Actor, Director, Rapper |
| @colortheory | 2,148,074 | Musician | Music, 80s, Synthesizers |
| @JETAR9 | 1,527,318 | Inspirational Speaker | Spirituality, Happiness, Clarity |
| @machavelli7 | 929,810 | Author | Philosophy, History, Travel |
| @dakarakoso | 892,948 | Poet | poetry, traveling, gaming |
| @yvesjean | 800,191 | Musician | music, positive vibes, harmless |
| @EstudoReligiao | 797,628 | - | - |
| @biccameraE | 795,211 | Retailer | shopping, deals, promotions |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
38,978
Followers With Bio
62,021
Followers Without Bio
38.59%
% With Bio
61.41%
% 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 3,213 analyzed11,556
Combined Engagement
5,526
Total Likes
6,030
Total Retweets
2,311
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
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RT @atlrs_official: 【お知らせ】#antlers #kashima #藤井智也 #welcometoKASHIMA 藤井智也選手がサンフレッチェ広島より完全移籍で加入することになりました。 「自分の特徴であるスピードと仕掛けを存分に発揮して、チームの力に…
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Key Insights & Takeaways
The account frequently highlights local news and events, emphasizing community impact and public safety. It leverages multimedia content, including links to videos and articles, to enhance engagement. The focus on digital transformation and local issues suggests a strategic effort to modernize news delivery and increase accessibility.
Strengths
- + Established follower base of 122,326
- + 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 @ibarakishimbun reveals an growing Twitter presence with 122,326 followers. The account demonstrates a content-creator strategy, averaging 31.6 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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