Nina Turner
Educator. Activist. Senior Fellow at @RacePowerPolicy. Former Ohio State Senator & Professor. National surrogate Bernie Sanders 2016, National Co-Chair 2020.
609,273
Followers
7,339
Following
88,525
Tweets
3,284.2
Avg Engagement
3,845
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ninaturner'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:2010-09-09
- Verification:No
- Location:Cleveland, OH
Data Summary
- Tweets Analyzed:3,233
- Avg Likes per Tweet:2,324.5
- Avg Retweets per Tweet:959.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,233 tweetsHer tweets receive high engagement, with an average of 205,548 likes and 28,648 retweets per tweet. This indicates strong support and resonance with her message.
2,324.5
Avg Likes/Tweet
959.6
Avg Retweets/Tweet
7,515,230
Total Likes
3,102,466
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
43
Median Likes
98
Median Retweets
1,422
75th Percentile
590,020
Top Tweet
5.39
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
29.7%
Original
17.7%
Replies
43.0%
Retweets
9.6%
Quotes
0.0%
Threads
0.3%
With Media
28.7%
With Links
5.0%
With #Tags
58.0%
With @Mentions
6.7%
With Emojis
116
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.6
Reply/Original Ratio
0.22
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
76.7%
Weekday Posts
23.3%
Weekend Posts
Top Hashtags
Most Mentioned
Want This Report as PDF?
We're building PDF export for these analytics reports. Register your interest to get early access.
Content Strategy Analysis
Based on 3,233 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 1,390 retweets (43% 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 3,233 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 followersHer audience includes supporters of Bernie Sanders, progressive activists, and individuals concerned with economic inequality. She also reaches educators and policy professionals due to her academic background.
Good
Audience Quality
18.3%
Suspicion Index
21.1%
Low-Quality %
68
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
32.4%
Empty Bio
14.7%
<10 Tweets
12.3%
Mass Following (>2K)
0.0%
New (<90 days)
39.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
83.8%
No URL
9.7%
<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.
41,277,277
Total Potential Reach
68
Median Follower Reach
269
75th Percentile Reach
8.5%
>1K followers
1.0%
>10K followers
0.2%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
70.5%
Creators
35,266 accounts
14.7%
Consumers
7,368 accounts
14.7%
Dormant
7,366 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):
1,982
Verified Followers
1.98% of total
9,858
Protected Accounts
9.86% 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 | 14,105,276 | Wrestler | Wrestling, Motivation, Self-promotion |
| @bennyjohnson | 1,444,161 | Podcaster | Family, God, Pipe Tobacco |
| @shirtsthtgohard | 1,411,573 | Fashion Influencer | shirts, designs, creators |
| @VillegasPoljak | 1,138,467 | Minister | politics, culture, Venezuela |
| @adventuregirl | 1,112,137 | Influencer | Adventure, Content Creation, TV |
| @leandraleal | 1,030,712 | Inventor | invento, eu |
| @JennaEllisEsq | 970,803 | - | - |
| @danielamercury | 936,343 | Singer | Music, Axé, Queen |
| @Janefonda | 905,842 | Actress | Actress, Author, Activist |
| @DanielNewman | 813,115 | Actor | WALKINGDEAD, MARVEL, LGBTQ* |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
65,312
Followers With Bio
34,688
Followers Without Bio
65.31%
% With Bio
34.69%
% 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.
Buy Follower Data
Export full follower list with profile details, bios, locations, and follower counts as CSV.
Buy Followers - from $15Buy Tweet Data
Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,233 analyzed1,661,676
Combined Engagement
1,455,452
Total Likes
206,224
Total Retweets
332,335
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
40%
With Links
Topical Analysis:
Good. https://t.co/QY8wqNS3W2
Yes, the person making food at McDonalds should be able to afford rent and groceries with their paycheck.
This is not normal. https://t.co/y1Rove1J47
Yes, a minimum wage worker should be able to afford rent and groceries with their paycheck.
I don’t care if someone works at Burger King, Walmart, Dollar General—anywhere. If someone is working full time, there is no reason their paycheck shouldn’t cover food & rent. This shouldn’t be controversial.
Key Insights & Takeaways
Her top tweets focus on the need for fair wages and affordable living costs. She emphasizes the importance of workers being able to meet basic needs with their income. Her content is highly relatable and aligns with broader progressive values.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 609,273
- + 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 @ninaturner reveals an exceptionally influential Twitter presence with 609,273 followers. The account demonstrates a content-creator strategy, averaging 3,284.2 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.
Need Programmatic Access?
We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.
Register Interest for API Access