Anton Barbashin
Editorial Director @RiddleRussia/Редакционный Директор @RidlRussia PGR @CEES_GlasgowUni
52,313
Followers
1,634
Following
27,487
Tweets
91.8
Avg Engagement
1,618
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ABarbashin'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:2014-12-19
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,234
- Avg Likes per Tweet:50.8
- Avg Retweets per Tweet:41.0
- Followers Analyzed:9,996
Engagement Analysis
Based on 3,234 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction. The content is both informative and thought-provoking.
50.8
Avg Likes/Tweet
41.0
Avg Retweets/Tweet
164,429
Total Likes
132,456
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
6
Median Likes
3
Median Retweets
43
75th Percentile
48,933
Top Tweet
1.75
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
17.2%
Original
34.0%
Replies
23.9%
Retweets
25.0%
Quotes
0.0%
Threads
0.2%
With Media
57.0%
With Links
4.4%
With #Tags
56.2%
With @Mentions
2.0%
With Emojis
174
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.98
Reply/Original Ratio
1.05
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
79.3%
Weekday Posts
20.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,234 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 772 retweets (24% 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 3,234 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 9,996 followersHis audience likely includes Russian speakers interested in media and politics. They are engaged with both personal narratives and geopolitical updates.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
75
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)
86.6%
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.
34,232,052
Total Potential Reach
75
Median Follower Reach
316
75th Percentile Reach
11.7%
>1K followers
2.0%
>10K followers
0.6%
>50K followers
0.3%
>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
9,996 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
934
Protected Accounts
9.34% 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 |
|---|---|---|---|
| @JohnCena | 14,097,209 | Wrestler | Wrestling, Motivation, Self-promotion |
| @suthichai | 3,108,145 | Entrepreneur | business, media, entrepreneurship |
| @SinghLions | 1,325,748 | Restaurateur | Food, Travel, Influencer |
| @atrupar | 884,867 | Journalist | journalism, politics, news |
| @TheStudyofWar | 649,410 | Researcher | national security, policy research, U.S. |
| @Matt_VanDyke | 514,587 | Founder | veterans, training, supplies |
| @adagamov | 506,547 | Blogger | technology, politics, humor |
| @AWeissmann_ | 285,174 | Lawyer | Law, Investigation, New York |
| @GoogleExpertUK | 263,273 | SEO Expert | SEO, Cruise, Art |
| @BowenBBC | 261,739 | Journalist | Middle East, Editor, BBC |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,831
Followers With Bio
4,169
Followers Without Bio
58.31%
% With Bio
41.69%
% 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 3,234 analyzed87,565
Combined Engagement
62,924
Total Likes
24,641
Total Retweets
17,513
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
60%
With Links
Topical Analysis:
I was raised by two women in the middle of Russia. My mom and my grandmother. In fact, most of my friends had either no father or a drinking father or a father who died. So this new reading of “family” has no connection to what Russia really is or ever was. https://t.co/I2hOhiwG
An update on an old Soviet joke https://t.co/e56QjGLDaR
RT @pevchikh: 1/22 This is Svetlana Maniovich. She is your guide to the world of extreme Russian glamour. She radiates richness. Diamonds, furs, Rolls Royces - she has it all and more. In summer you can find her in St Tropez where she rents a villa for €150k/month, or on a yacht
Meduza reports that Putin is ready to talk but "Crimea is not to be mentioned", "annexed territories in Donbas to stay in Russia". Russia may withdraw from Kherson area. Smells like Minsk III that would allow Putin to better train and equip mobilized thousands of Russians
RT @eurojewcong: We are shocked and appalled by the shameful comparison drawn by Russian FM Lavrov between the support of the West for Ukraine and Hitler’s persecution and murder of six million Jews in the Shoah. This is Holocaust distortion at its most basic level. https://t.c
Key Insights & Takeaways
He often shares personal stories that reflect broader societal issues in Russia. He provides commentary on political developments, including Putin's stance on Crimea and Donbas. His content blends personal experience with current events, offering a unique perspective.
Strengths
- + Established follower base of 52,313
- + 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 @ABarbashin reveals an growing Twitter presence with 52,313 followers. The account demonstrates a conversation-first approach, averaging 91.8 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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