tvOnenews
Official Account of tvOneNews
9,846,046
Followers
50
Following
411,472
Tweets
34.1
Avg Engagement
8,167
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @tvOneNews'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: Mega Influencer (1M+)
- Account Age:2009-07-10
- Verification:Yes
- Location:Pulo Gadung, Indonesia
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:27.0
- Avg Retweets per Tweet:7.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsOn average, each tweet receives around 3,332 likes and 971 retweets, indicating a moderately engaged audience. The content tends to generate significant interaction due to its sensitivity and relevance.
27.0
Avg Likes/Tweet
7.1
Avg Retweets/Tweet
87,848
Total Likes
23,044
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
1
Median Retweets
8
75th Percentile
6,470
Top Tweet
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
100.0%
With Links
13.2%
With #Tags
0.5%
With @Mentions
0.5%
With Emojis
129
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
71.4%
Weekday Posts
28.6%
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.
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 50,000 followersThe audience is likely interested in politics, law enforcement, and current affairs in Indonesia. They are engaged with content that sparks debate and public interest.
Below Average
Audience Quality
48.8%
Suspicion Index
78.0%
Low-Quality %
0
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
81.4%
Empty Bio
85.8%
<10 Tweets
0.6%
Mass Following (>2K)
0.0%
New (<90 days)
90.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.6%
No URL
74.5%
<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.
7,927,606
Total Potential Reach
0
Median Follower Reach
2
75th Percentile Reach
0.3%
>1K followers
0.0%
>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).
4.6%
Creators
2,280 accounts
9.7%
Consumers
4,831 accounts
85.8%
Dormant
42,889 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):
28
Verified Followers
0.03% of total
5,307
Protected Accounts
5.25% of total
1 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 |
|---|---|---|---|
| @INDONESIAinLOVE | 4,944,483 | News Outlet | Top News, Ilmu Pengetahuan, Breaking News |
| @AreaDEWASA | 1,176,440 | - | - |
| @ZimEye | 416,935 | Journalist | Zimbabwe, Africa, Journalism |
| @kota_jogja | 274,393 | Media Promosi | Berita, event, kuliner |
| @SSscoop475 | 241,447 | Activist | World Peace, Civil Rights, Tibetan Buddhism |
| @logikapolitikid | 115,809 | Political Analyst | Satria Baja Hitam, Logika Politik, Akun Minjem |
| @_jakartaterkini | 76,586 | - | - |
| @generasibiru_22 | 61,158 | Influencer | Bahagia, Generasi Biru, S |
| @alextham878 | 59,844 | - | - |
| @aharjunadhi | 58,194 | Religious Leader | Islam, Syafaat, Cinta |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
20,080
Followers With Bio
80,915
Followers Without Bio
19.88%
% With Bio
80.12%
% 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 analyzed27,931
Combined Engagement
22,035
Total Likes
5,896
Total Retweets
5,586
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Jefri Nichol Lempar Bangkai Tikus ke Gedung DPR saat Ikut Demo Tolak UU Ciptaker, Tikus yang Hidup Dilepas di Gerbangnya https://t.co/b9x6AOUo9u
Lagi-lagi Mahfud MD Temukan Transaksi Mencurigakan Kemenkeu Berupa Penyelundupan Emas Ilegal Rp189 Triliun https://t.co/cH0b4xwyfX
Pemotor Tewas Ditabrak Mobil Mewah di Jaksel yang Diduga Dikemudikan Anak Petinggi Polri https://t.co/ZVzNK47ODp
Viral, Anggota DPRD Sumut Aktif dari PDI P Maling Jam Tangan Karyawan Toko https://t.co/c9hgeZSogE
Terungkap! 491 Pegawai Kemenkeu Terlibat Pencucian Uang https://t.co/pj3YcIMoNn
Key Insights & Takeaways
The account frequently reports on high-profile political scandals and controversies, It covers incidents involving law enforcement and public figures, It highlights cases with potential legal and social implications.
Strengths
- + Established follower base of 9,846,046
- + 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 @tvOneNews reveals an growing Twitter presence with 9,846,046 followers. The account demonstrates a content-creator strategy, averaging 34.1 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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