Steven Levy
Editor at Large @WIRED. Your pandemic reading: Facebook: The Inside Story. https://www.penguinrandomhouse.com/books/551043/f…
109,842
Followers
875
Following
11,805
Tweets
30.8
Avg Engagement
3,189
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @StevenLevy'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:2007-03-03
- Verification:No
- Location:New York City
Data Summary
- Tweets Analyzed:3,199
- Avg Likes per Tweet:13.6
- Avg Retweets per Tweet:17.2
- Followers Analyzed:9,990
Engagement Analysis
Based on 3,199 tweetsLevy's tweets typically receive a high number of likes and retweets, indicating strong audience interaction. His posts often spark discussions and share personal insights.
13.6
Avg Likes/Tweet
17.2
Avg Retweets/Tweet
43,497
Total Likes
54,970
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
0
Median Retweets
11
75th Percentile
19,988
Top Tweet
0.28
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
26.5%
Original
54.1%
Replies
8.8%
Retweets
10.6%
Quotes
0.0%
Threads
0.3%
With Media
34.9%
With Links
6.0%
With #Tags
71.0%
With @Mentions
1.0%
With Emojis
132
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.04
Reply/Original Ratio
1.2
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.9%
Weekday Posts
24.1%
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 3,199 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 282 retweets (9% 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 3,199 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 9,990 followersHis audience includes tech enthusiasts, history buffs, and those interested in cultural and societal trends. The content appeals to a broad demographic with an interest in both technology and human stories.
Average
Audience Quality
22.8%
Suspicion Index
18.6%
Low-Quality %
145
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
26.0%
Empty Bio
16.8%
<10 Tweets
29.9%
Mass Following (>2K)
0.0%
New (<90 days)
42.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
64.3%
No URL
11.2%
<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.
53,796,574
Total Potential Reach
145
Median Follower Reach
660
75th Percentile Reach
20.1%
>1K followers
4.8%
>10K followers
1.1%
>50K followers
0.6%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
66.9%
Creators
6,679 accounts
16.3%
Consumers
1,628 accounts
16.8%
Dormant
1,683 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):
470
Verified Followers
4.7% of total
1,164
Protected Accounts
11.64% of total
9 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 | 14,093,775 | Wrestler | Wrestling, Motivation, Self-promotion |
| @benlandis | 2,838,123 | - | - |
| @sarahcpr | 2,106,132 | Comedian | comedy, author, speaker |
| @javerias | 1,368,726 | Journalist | Photography, Journalism, Child Labour |
| @funder | 1,114,062 | Journalist | Politics, Journalism, Music |
| @RiversCuomo | 1,109,374 | Musician | music, social media, creativity |
| @codeorg | 1,021,876 | Education | computer science, education, opportunity |
| @bouska | 838,253 | Fashion Photographer | Fashion, Photography, Activism |
| @AndrewMayne | 743,290 | Author | Novelist, Shark Week, Science |
| @Jason | 724,680 | Investor | startups, investing, podcasting |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,395
Followers With Bio
2,605
Followers Without Bio
73.95%
% With Bio
26.05%
% 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 3,199 analyzed45,827
Combined Engagement
4,626
Total Likes
41,201
Total Retweets
9,165
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
RT @KatieS: That's great news. I would tell my dad, but he died of COVID 6 months ago. https://t.co/L5pPxQQcxH
RT @FOX19Tricia: I am told that Damar Hamlin has been intubated and is currently listed in critical condition. @fox19
For 1,130 people the biggest story yesterday wasn't the election. It was that they died of covid.
RT @razhael: The incoming Biden admin has hidden a message for IT folk in https://t.co/vF4SFEypzm's source code: https://t.co/au0kdv0Fgp
RT @DrPhillipsMD: As more and more cases are traced to this preventable White House superspreader event, affecting two, and maybe all three branches of the government, the critical lesson remains clear. We CANNOT test our way out of this. 1/
Key Insights & Takeaways
His tweets often blend personal experiences with broader societal issues He frequently highlights historical and technological milestones He engages with his audience by addressing both public and private matters
Strengths
- + Established follower base of 109,842
- + 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 @StevenLevy reveals an growing Twitter presence with 109,842 followers. The account demonstrates a conversation-first approach, averaging 30.8 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.
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