DFRLab - @dfrlab.bsky.social
@AtlanticCouncil's Digital Forensic Research Lab. Cultivating a global network of digital forensic analysts (#DigitalSherlocks) to combat disinformation.
55,844
Followers
702
Following
12,455
Tweets
65.0
Avg Engagement
1,679
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DFRLab'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:2016-04-18
- Verification:No
- Location:Washington, DC
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:7.9
- Avg Retweets per Tweet:57.1
- Followers Analyzed:9,998
Engagement Analysis
Based on 3,248 tweetsThe account has a moderate to high engagement rate, with an average of 272 likes and 162 retweets per tweet. Its content often sparks discussion and debate, especially on sensitive geopolitical topics.
7.9
Avg Likes/Tweet
57.1
Avg Retweets/Tweet
25,666
Total Likes
185,492
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
4
Median Retweets
20
75th Percentile
25,092
Top Tweet
1.16
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
33.3%
Original
34.6%
Replies
29.0%
Retweets
3.1%
Quotes
0.0%
Threads
0.6%
With Media
92.6%
With Links
56.8%
With #Tags
83.9%
With @Mentions
23.9%
With Emojis
253
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.04
Reply/Original Ratio
0.11
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
92.1%
Weekday Posts
7.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,248 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 943 retweets (29% 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 3,248 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 9,998 followersThe audience includes policymakers, journalists, and security professionals interested in disinformation and digital forensics. It also attracts individuals concerned about media manipulation and geopolitical narratives.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
142
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
75.3%
No URL
100.0%
<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.
42,148,577
Total Potential Reach
142
Median Follower Reach
652
75th Percentile Reach
19.6%
>1K followers
3.9%
>10K followers
1.0%
>50K followers
0.4%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
9,998 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):
0
Verified Followers
0.0% of total
1,242
Protected Accounts
12.42% of total
7 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 | 14,091,840 | Wrestler | Wrestling, Motivation, Self-promotion |
| @janboehm | 2,726,955 | Satirist | satire, podcasting, comedy |
| @AuschwitzMuseum | 1,496,077 | Historian | History, Memory, Education |
| @shellenberger | 767,365 | - | - |
| @osgaweesh | 679,891 | Journalist | Journalism, TV presenting, Dentistry |
| @OpenSociety | 591,070 | Philanthropy | democracy, accountability, inclusivity |
| @googleafrica | 513,011 | Tech Company | Technology, Innovation, Africa |
| @davemcclure | 346,294 | Venture Capitalist | Venture Capital, Education, Children's Media |
| @StephenCaggiano | 341,630 | Content Creator | Content creation, Access, Resource for creators |
| @terrelljstarr | 321,106 | Reporter | Foreign affairs, Black Diplomats, Ukraine |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,189
Followers With Bio
2,811
Followers Without Bio
71.89%
% With Bio
28.11%
% 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 3,248 analyzed69,015
Combined Engagement
0
Total Likes
69,015
Total Retweets
13,803
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @oneunderscore__: Quick thread: I want you all to meet Vladimir Bondarenko. He’s a blogger from Kiev who really hates the Ukrainian government. He also doesn’t exist, according to Facebook. He’s an invention of a Russian troll farm targeting Ukraine. His face was made by A
RT @colbertlateshow: Nobel Peace Prize winner @mariaressa says social media has “come in and used free speech to stifle free speech.” #Colbert https://t.co/gu13bvWojH
RT @AP: BREAKING: A senior U.S. intelligence official says Russian missiles crossed into NATO member Poland, killing two people. A Polish government spokesman did not immediately confirm the information, but said leaders were meeting on "crisis situation." https://t.co/W1hhjwa6e
RT @Shayan86: Lots of videos and images alleging to show Russian attacks on Ukrainian towns and cities going viral on social media already. It is customary for old or false footage to go viral during a conflict, so please try to verify or check the source of the footage you see b
RT @NBCNews: DEVELOPING: Twitter suspends several high-profile journalists who have been covering the company and Elon Musk. https://t.co/LPC3iAdqTa
Key Insights & Takeaways
The account frequently highlights deepfakes and disinformation campaigns, particularly those involving Russian state media. It engages with high-profile figures and media outlets, often sparking controversy and debate. Its content is highly focused on geopolitical issues, especially those involving Russia and Ukraine.
Strengths
- + Established follower base of 55,844
- + High community engagement through conversations
- + 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 @DFRLab reveals an growing Twitter presence with 55,844 followers. The account demonstrates a conversation-first approach, averaging 65.0 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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