Sheera Frenkel

Sheera Frenkel

@sheeraf

NYT Reporter and author of NYT Bestseller AN UGLY TRUTH, with @ceciliakang. Raising two kids and a cat in Oakland. Tell me a story: sheera.frenkel@nytimes.com

Oakland, CA Joined 2009-02-04 Date of Analysis: Dec 16, 2025

65,058

Followers

2,106

Following

24,190

Tweets

499.0

Avg Engagement

2,082

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @sheeraf'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:2009-02-04
  • Verification:No
  • Location:Oakland, CA

Data Summary

  • Tweets Analyzed:3,204
  • Avg Likes per Tweet:65.8
  • Avg Retweets per Tweet:433.2
  • Followers Analyzed:9,998

Engagement Analysis

Based on 3,204 tweets

Sheera Frenkel's tweets typically receive a high number of likes and retweets, indicating strong audience interaction. Her content is both informative and relatable, contributing to her high engagement rates.

65.8

Avg Likes/Tweet

433.2

Avg Retweets/Tweet

210,664

Total Likes

1,388,015

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

1

Median Likes

2

Median Retweets

55

75th Percentile

109,696

Top Tweet

7.67

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

17.3%

Original

41.4%

Replies

33.6%

Retweets

7.7%

Quotes

0.0%

Threads

1.2%

With Media

47.7%

With Links

3.2%

With #Tags

78.3%

With @Mentions

5.6%

With Emojis

157

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

2.4

Reply/Original Ratio

0.23

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

78.1%

Weekday Posts

21.9%

Weekend Posts

Top Hashtags

#anuglytruth (15) #facebook (6) #2 (3) #covid19 (3) #afghanistan (3) #apandemicyear (3) #kqedyouthtakeover (2) #meta (2) #inners (2) #1 (2)

Most Mentioned

@ceciliakang (404) @sheeraf (270) @nytimes (143) @rmac18 (89) @mikeisaac (67) @karaswisher (31) @noupside (31) @__apf__ (29) @shiraovide (29) @ayadakhtar (25)

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Content Strategy Analysis

Based on 3,204 tweets

Content Type Distribution

Content Breakdown

Original Tweets 553 (17%)
Replies 1,327 (41%)
Retweets 1,078 (34%)
Quote Tweets 246 (8%)

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 1,078 retweets (34% 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 3,204 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 9,998 followers

Her audience includes readers of The New York Times, followers of true crime and investigative journalism, and parents interested in real-life stories. She also attracts those curious about media and technology issues.

Average

Audience Quality

23.2%

Suspicion Index

18.2%

Low-Quality %

161

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

27.8%

Empty Bio

13.9%

<10 Tweets

34.2%

Mass Following (>2K)

0.0%

New (<90 days)

41.2%

Low Ratio (<0.1)

0.0%

New (<180 days)

74.6%

No URL

8.7%

<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.

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Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

51,179,435

Total Potential Reach

161

Median Follower Reach

671

75th Percentile Reach

19.4%

>1K followers

4.0%

>10K followers

1.0%

>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).

71.2%

Creators

7,114 accounts

14.9%

Consumers

1,493 accounts

13.9%

Dormant

1,391 accounts

218

Verified Followers

2.18% of total

19.7%

Professional Bios

founder, dev, analyst, etc.

0.14

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):

New York, NY (146) Washington, DC (137) United States (95) London, England (75) San Francisco, CA (71) Los Angeles, CA (59) California, USA (56) Brooklyn, NY (51) New York (44) New York, USA (43)

219

Verified Followers

2.19% of total

1,241

Protected Accounts

12.41% of total

8 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 14,071,290 Wrestler Wrestling, Motivation, Self-promotion
@rahulkanwal 4,457,227 Journalist News, Director, Anchor
@TheRickWilson 1,616,496 Political Consultant Politics, Advertising, Writing
@EdKrassen 975,253 Journalist Politics, Journalism, Author
@andrewrsorkin 934,890 Journalist Finance, Journalism, Television
@NOH8Campaign 798,870 Activism equality, bullying, discrimination
@depthsofwiki 791,230 Wikipedia Enthusiast Wikipedia, favorite things, fluffybabycow
@osgaweesh 674,484 Journalist Journalism, TV presenting, Dentistry
@meena 652,534 Author Mom, Oakland, author
@anildash 566,763 Tech influencer technology, advocacy, community

Top Keywords in Follower Bios

tech (269) love (228) media (218) journalist (207) views (205) writer (197) former (191) lover (190) social (178) life (176)

Top Hashtags in Follower Bios

#blm (41) #resist (30) #voteblue (18) #ai (18) #tech (18) #standwithukraine (17) #bitcoin (16) #cybersecurity (15) #blacklivesmatter (12) #marketing (11)

7,221

Followers With Bio

2,779

Followers Without Bio

72.21%

% With Bio

27.79%

% 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 3,204 analyzed

431,066

Combined Engagement

80,506

Total Likes

350,560

Total Retweets

86,213

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

80%

With @Mentions

60%

With Links

Topical Analysis:

Journalism Parenting Technology Media True Crime Personal Storytelling

Key Insights & Takeaways

She often shares behind-the-scenes looks at her work as a journalist, providing insight into the media industry. She blends personal and professional content, making her tweets more relatable and engaging. Her tweets frequently highlight current events and investigative stories, reflecting her role as a reporter.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 65,058
  • + 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 @sheeraf reveals an well-established Twitter presence with 65,058 followers. The account demonstrates a conversation-first approach, averaging 499.0 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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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