Live News イット！
「イット」 【メイン】榎並大二郎・宮司愛海 【アクティブ中継】木村拓也 【4時コーナー】立石修 【情報】梅津弥英子・遠藤玲子 【天気】竹俣紅・勝野健・ガチャピン 【フィールド】東中健・山本賢太・勝野健・岸本理沙・小山内鈴奈 【週末】生野陽子・奥寺健・勝野健
13,180
Followers
54
Following
3,664
Tweets
359.7
Avg Engagement
164
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @livenews_it'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:2018-04-02
- Verification:No
- Location:東京 港区
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:299.3
- Avg Retweets per Tweet:60.4
- Followers Analyzed:10,113
Engagement Analysis
Based on 500 tweetsThe account has a strong engagement rate, with an average of 5,922 likes and 1,374 retweets per tweet. The content is well-received and often shared, indicating a loyal and active audience.
299.3
Avg Likes/Tweet
60.4
Avg Retweets/Tweet
149,651
Total Likes
30,191
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
160
Median Likes
29
Median Retweets
284
75th Percentile
20,065
Top Tweet
27.29
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
99.4%
Original
0.0%
Replies
0.4%
Retweets
0.2%
Quotes
0.0%
Threads
0.0%
With Media
99.6%
With Links
99.2%
With #Tags
1.0%
With @Mentions
29.8%
With Emojis
136
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.0
Reply/Original Ratio
0.5
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
98.2%
Weekday Posts
1.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 500 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 500 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 10,113 followersThe audience is primarily interested in entertainment, news, and current events in Japan. They are likely fans of the featured personalities and enjoy interactive content such as live broadcasts and special programs.
Average
Audience Quality
22.4%
Suspicion Index
23.8%
Low-Quality %
54
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
36.3%
Empty Bio
16.8%
<10 Tweets
18.8%
Mass Following (>2K)
0.0%
New (<90 days)
47.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.0%
No URL
11.4%
<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.
8,714,395
Total Potential Reach
54
Median Follower Reach
262
75th Percentile Reach
8.1%
>1K followers
1.0%
>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).
68.4%
Creators
6,914 accounts
14.8%
Consumers
1,495 accounts
16.8%
Dormant
1,704 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):
93
Verified Followers
0.92% of total
1,980
Protected Accounts
19.58% 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 |
|---|---|---|---|
| @ryogomatsumaru | 725,935 | Game Developer | Puzzle solving, Pokemon, Vocaloid |
| @chipi1215 | 717,911 | Model | model, talent, promotion |
| @fujitv | 661,593 | TV Network | - |
| @SEGA_OFFICIAL | 527,717 | Gaming | Games, Events, Merchandise |
| @IiyamaAkari | 203,064 | Researcher | Islam, World Affairs, Research |
| @hifumikato | 171,650 | Shogi Player | Shogi, Classical Music, Soccer |
| @FNN_News | 162,298 | News outlet | News, Fuji TV, Network |
| @krispykremeJP | 121,274 | Food Industry | donuts, delicious, fun |
| @kouragumi | 96,326 | Crab Fisherman | 越前がに, かに職人, 伝食 |
| @BASEec | 86,657 | Entrepreneur | e-commerce, shop management, branding |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,447
Followers With Bio
3,666
Followers Without Bio
63.75%
% With Bio
36.25%
% 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 500 analyzed62,610
Combined Engagement
50,674
Total Likes
11,936
Total Retweets
12,522
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
きょうの #イット ！は Snow Man #阿部亮平 さん ✕ #ガチャピン の『SDGs特別企画』第３弾！ 「衣服」をテーマに、 阿部さんとガチャピンが実際にアパレルメーカーなどを取材しスタジオで生報告 お天気コーナーでも、#気象予報士 の資格をもつ阿部さんに情報を伝えてもらいます お楽しみに！ #SDGs https://t.co/AWdSx1TJ1W
いま生放送中のラジオ・チャリティ・ミュージックソンから、まもなく生中継🎄✨⛄ メインパーソナリティーをつとめるSixTONESの皆さんがイット！に登場します。ぜひご覧下さい‼️ #SixTONES #ミュージックソン #ニッポン放送 #イット #藤本万梨乃 #生野陽子 #小室瑛莉子 #奥寺健 https://t.co/lTqeutYFTd
きょうのイット！は Snow Man #阿部亮平 さんと #ガチャピン の「 #SDGs 企画」第４弾！ 今回は「#学生たちのSDGs」をテーマに阿部さんの母校・ #上智大学 で最新の取り組みなどを取材。 阿部さんの恩師や同期も登場し“意外な素顔”が語られます。 お楽しみに！ #ソラよみ にも #ゲスト出演 https://t.co/n2CQjkLOy2
今夜スタートの月９「PICU－小児集中治療室－」主演の吉沢亮さんに、宮司キャスターがインタビュー！ 自身初の医師役への思い、新しい事を始めるときに大切にしていることなど貴重なお話を伺いました 午後４時１５分頃の放送です 実は宮司キャスター、第一話に登場予定！実際のOAで探してみて下さいね https://t.co/28iY8FWmE2
6年ぶりにドラマ主演を務める草彅剛さんに梅津キャスターがインタビュー🎤 “復讐”シリーズ8年で起きた自身の変化やドラマの見どころを伺いました。 4時台この後すぐ放送です！ #草彅剛 #罠の戦争 #ワナワナ #月10 #ドラマ #梅津弥英子 https://t.co/OunbLOTR6X
Key Insights & Takeaways
The account frequently collaborates with popular celebrities and musicians, which helps attract a wider audience. It emphasizes special projects and live broadcasts, which increase viewer interaction and excitement. The content is diverse, covering topics like weather, news, and social issues, which keeps the audience engaged and informed.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 13,180
- + 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 @livenews_it reveals an well-established Twitter presence with 13,180 followers. The account demonstrates a content-creator strategy, averaging 359.7 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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