CORRECTIV

CORRECTIV

@correctiv_org

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/

https://correctiv.org/ Joined 2014-01-20 Date of Analysis: Dec 16, 2025

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 tweets

The 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

#cumex (83) #afd (69) #cumexfiles (50) #ukraine (44) #menschenimfadenkreuz (33) #campfire22 (30) #chinascienceinvestigation (28) #twlz (24) #desinformation (24) #goa22 (23)

Most Mentioned

@correctiv_org (614) @correctiv_fakt (151) @reporterfabrik (129) @justus_vdaniels (112) @jsachse (100) @zdffrontal (86) @annikajoeres (74) @david_schraven (65) @marcusbensmann (48) @derspiegel (45)

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Content Strategy Analysis

Based on 3,197 tweets

Content Type Distribution

Content Breakdown

Original Tweets 1,336 (42%)
Replies 607 (19%)
Retweets 1,176 (37%)
Quote Tweets 78 (2%)

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 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 10,000 followers

The 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.

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Follower 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

64

Verified Followers

0.64% of total

5.3%

Professional Bios

founder, dev, analyst, etc.

0.05

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):

Berlin, Deutschland (163) Berlin (155) Germany (144) Deutschland (135) Berlin, Germany (109) Hamburg, Deutschland (62) Hamburg, Germany (59) Hamburg (48) Wien, Österreich (41) Köln, Deutschland (36)

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

fur (286) journalist (104) hehim (85) science (82) sheher (74) privat (74) student (65) berlin (65) politik (59) social (57)

Top Hashtags in Follower Bios

#noafd (40) #fckafd (34) #fcknzs (27) #standwithukraine (17) #nafo (16) #notjustsad (11) #covidisnotover (7) #slavaukraini (6) #humanrights (6) #climate (6)

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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Viral Tweets

Top 5 by likes+RTs from 3,197 analyzed

21,218

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:

Investigative Journalism Political Corruption Economic Scandals Transparency Corruption Media Current Affairs
CORRECTIV
@correctiv_org

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

2022-03-23
Retweets: 5,220 Likes: 0 Engagement: 5,220
CORRECTIV
@correctiv_org

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

2022-11-29
Retweets: 4,398 Likes: 0 Engagement: 4,398
CORRECTIV
@correctiv_org

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.

2022-09-20
Retweets: 4,194 Likes: 0 Engagement: 4,194
CORRECTIV
@correctiv_org

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

2022-09-20
Retweets: 1,136 Likes: 2,765 Engagement: 3,901
CORRECTIV
@correctiv_org

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

2023-01-03
Retweets: 3,505 Likes: 0 Engagement: 3,505

Network & Following Analysis

Based on 25 accounts followed

Following 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

Most Influential Accounts They Follow

Account Followers Profession Interests
@ Juliane 🦄 316 - -
@ de'ge'pol W 283 - -
@ Stefan 124 - -
@ Madeleine Cwiertnia 111 - -
@ Fiete 76 - -
@ Ricardo Arango 67 - -
@ Sven Nygma 54 - -
@ samiklausi 27 - -
@ svenhe 22 - -
@ Sammy SOMMERFELD 21 - -

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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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