Emily Jashinsky
Culture editor, @FDRLST. Director, @NJC_YAF. Host of Federalist Radio Hour and Co-Host of Counter Points. Senior fellow, @IWF.
56,328
Followers
1,932
Following
9,613
Tweets
274.8
Avg Engagement
411
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @emilyjashinsky'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:2009-04-01
- Verification:No
- Location:DC via WI
Data Summary
- Tweets Analyzed:3,244
- Avg Likes per Tweet:41.3
- Avg Retweets per Tweet:233.6
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,244 tweetsHer tweets typically receive a high number of likes and retweets, indicating a dedicated and active audience. The engagement suggests her content resonates with her followers and sparks discussion.
41.3
Avg Likes/Tweet
233.6
Avg Retweets/Tweet
133,865
Total Likes
757,732
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
5
Median Retweets
65
75th Percentile
29,859
Top Tweet
4.88
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
20.6%
Original
26.3%
Replies
40.2%
Retweets
12.9%
Quotes
0.0%
Threads
0.2%
With Media
71.9%
With Links
3.2%
With #Tags
70.8%
With @Mentions
1.5%
With Emojis
157
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.28
Reply/Original Ratio
0.32
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
85.8%
Weekday Posts
14.2%
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 3,244 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 1,305 retweets (40% 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 3,244 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 10,000 followersHer followers are likely interested in conservative politics, culture, and family issues. They engage with her content on topics like media, policy, and social norms.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
48
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)
88.7%
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.
16,002,439
Total Potential Reach
48
Median Follower Reach
201
75th Percentile Reach
8.0%
>1K followers
1.4%
>10K followers
0.4%
>50K followers
0.2%
>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
10,000 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
1,314
Protected Accounts
13.14% 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 |
|---|---|---|---|
| @SenateGOP | 1,559,124 | Politics | Politics, Legislation, Updates |
| @unusual_whales | 1,389,014 | Finance Trading | Stocks, Options, Crypto |
| @MrAndyNgo | 1,330,067 | Journalist | Conservative, Journalism, LGBTQ+ |
| @NikkiHaley | 940,007 | Politician | Politics, Diplomacy, Leadership |
| @alexstein99 | 535,031 | Podcaster | Cats, Conspiracy Theories, Texas Politics |
| @paulsperry_ | 380,818 | Journalist | Investigative journalism, National security, Author |
| @JonHaidt | 364,036 | Social psychologist | Moral psychology, Political psychology, Business ethics |
| @RoKhanna | 312,835 | Politician | jobs, pay, progressive |
| @BillboardChris | 312,726 | - | - |
| @lhfang | 305,339 | Journalist | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,547
Followers With Bio
4,453
Followers Without Bio
55.47%
% With Bio
44.53%
% 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 3,244 analyzed115,950
Combined Engagement
27,565
Total Likes
88,385
Total Retweets
23,190
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
A good way for Will Smith to protect his wife would be insisting on monogamy.
RT @patrickmadrid: What the?? This video taken yesterday in Shanghai, China, by the father of a close friend of mine. She verified its authenticity: People screaming out of their windows after a week of total lockdown, no leaving your apartment for any reason. https://t.co/iHGOO8
RT @lhfang: Docs show Facebook and Twitter closely collaborating w/ Dept of Homeland Security, FBI to police “disinfo.” Plans to expand censorship on topics like withdrawal from Afghanistan, origins of COVID, info that undermines trust in financial institutions. https://t.co/Zb3z
RT @lhfang: 1. New piece from the TWITTER FILES. How the pharmaceutical industry lobbied social media to shape content around vaccine policy. The push included direct pressure from Pfizer partner BioNTech to censor activists demanding low-cost generic vaccines for low-income c
RT @michaeljknowles: Spoiler alert: there’s always going to be another variant.
Key Insights & Takeaways
She often comments on cultural and political issues, especially those related to media and policy. Her tweets reflect a conservative viewpoint, particularly on family and social issues. She uses her platform to discuss and highlight topics that align with her professional roles and affiliations.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 56,328
- + 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 @emilyjashinsky reveals an well-established Twitter presence with 56,328 followers. The account demonstrates a conversation-first approach, averaging 274.8 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