CORRECTIV
Dieser Account wird nicht mehr betreut: https://correctiv.org/in-eigener-sache/2023/11/27/correctiv-verlaesst-onlineplattform-twitter-jetzt-x/ Sehen wir uns hier?👇 ✉️: https://correctiv.org/newsletter/ | Alle Kanäle 🔎 https://correctiv.org/kontakt/
118,550
Followers
11,738
Following
27,420
Tweets
60.4
Avg Engagement
1,394
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @correctiv_org'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:2014-01-20
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,197
- Avg Likes per Tweet:29.0
- Avg Retweets per Tweet:31.4
- Followers Analyzed:10,000
- Following Analyzed:25
Engagement Analysis
Based on 3,197 tweetsThe account has a moderate level of engagement with an average of 1,282 likes and 492 retweets per tweet. The engagement appears to be consistent across its tweets.
29.0
Avg Likes/Tweet
31.4
Avg Retweets/Tweet
92,605
Total Likes
100,454
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
8
Median Likes
8
Median Retweets
50
75th Percentile
5,220
Top Tweet
0.51
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
41.8%
Original
19.0%
Replies
36.8%
Retweets
2.4%
Quotes
0.0%
Threads
0.0%
With Media
87.4%
With Links
42.4%
With #Tags
56.4%
With @Mentions
8.8%
With Emojis
235
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.45
Reply/Original Ratio
0.07
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
92.4%
Weekday Posts
7.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,197 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 1,176 retweets (37% 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 3,197 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 audience is likely interested in investigative journalism, politics, and current affairs. They are likely to be politically aware and concerned about corruption and transparency.
Average
Audience Quality
31.5%
Suspicion Index
45.8%
Low-Quality %
8
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
57.5%
Empty Bio
43.6%
<10 Tweets
3.6%
Mass Following (>2K)
0.0%
New (<90 days)
66.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.5%
No URL
34.1%
<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.
17,314,409
Total Potential Reach
8
Median Follower Reach
47
75th Percentile Reach
4.0%
>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).
36.5%
Creators
3,650 accounts
19.9%
Consumers
1,987 accounts
43.6%
Dormant
4,363 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):
64
Verified Followers
0.64% of total
826
Protected Accounts
8.26% of total
5 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 |
|---|---|---|---|
| @JohnCena | 14,093,632 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Afelia | 275,305 | - | - |
| @tourejansari | 137,541 | Travel Blogger | Travel, SEO, International destinations |
| @dw_scitech | 122,042 | - | - |
| @n3ll41 | 94,406 | - | - |
| @MFeldenkirchen | 60,910 | - | - |
| @journalffm | 56,746 | Journalist | Frankfurt, News, Culture |
| @journ_online | 51,827 | Journalist | journalism, improvement, job market |
| @NDRinfo | 48,047 | News Outlet | - |
| @StopFakingNews | 47,240 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,250
Followers With Bio
5,750
Followers Without Bio
42.5%
% With Bio
57.5%
% 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 3,197 analyzed21,218
Combined Engagement
2,765
Total Likes
18,453
Total Retweets
4,244
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
RT @nytimes: The official Twitter account for the president of Russia follows 22 others — and one of them is Arnold Schwarzenegger, who in a video posted on Thursday debunked Russian disinformation about the war on Ukraine and urged Putin to end the conflict. https://t.co/O1kTCso
RT @pevchikh: 1/20 Dear friends, I need to draw your attention to something super bad and super important (and it doesn’t originate from Russia for once). Last week the EU has taken a shockingly stupid and damaging decision to close down national corporate registers of beneficial
RT @AnnikaJoeres: Am Ende dieser nervenaufreibenden Recherche kam es, wie es kommen musste: Eine Person im Gazprom-Netzwerk, Sigmar Gabriel, drohte mit rechtlichen Schritten gegen unsere Recherche. Natürlich haben wir sie heute trotzdem veröffentlicht - ein Mustread 🧵 https://t.
Lobby für russisches Gas: Schröder war die Spitze des Eisbergs, wir haben unter die Wasseroberfläche geschaut. Deutsche Anwälte, Manager und etliche Politiker waren jahrelang für russische Interessen eingespannt. Hier sind sie: https://t.co/BG4d7fuGVW
RT @saitomri: NEW: We've spent several months investigating pro-Putin activists across Germany who are agitating for Berlin to cut aid to Ukraine and pursue peace with Russia. Here are some of our findings... https://t.co/i60Jl3pny1
Network & Following Analysis
Based on 25 accounts followedFollowing Quality Signals
Who this account chooses to follow reveals their information diet and network quality.
0.0%
Verified Accounts
0.0%
High Authority (>50K)
32.0%
Dormant Accounts
24.0%
Low Quality
10
Median Reach of Followed Accounts
Heuristic analysis. For ML-powered bot detection, try our Bot Detector.
100.0%
Individuals
25 accounts
0.0%
Brands/Orgs
0 accounts
0.0%
Media/News
0 accounts
Key Insights & Takeaways
The account has a history of publishing in-depth investigations on topics like Russian gas lobbying and CumEx scandals. It has a strong focus on political and economic corruption, often highlighting the involvement of high-profile individuals. The account has shifted its focus to more specific and targeted investigations, such as the Corona vaccine and CumEx files.
Strengths
- + Established follower base of 118,550
- + 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 @correctiv_org reveals an growing Twitter presence with 118,550 followers. The account demonstrates a content-creator strategy, averaging 60.4 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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