Social Security

Social Security

@SocialSecurity

Official Tweets from @SocialSecurity. SSA retweets and follows are not endorsements. This communication produced & disseminated at U.S. taxpayer expense.

Baltimore, MD https://www.ssa.gov/ Joined 2009-05-12 Date of Analysis: Dec 16, 2025

112,013

Followers

175

Following

18,609

Tweets

9.4

Avg Engagement

1,093

Listed

Yes

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @SocialSecurity'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:2009-05-12
  • Verification:Yes
  • Location:Baltimore, MD

Data Summary

  • Tweets Analyzed:3,209
  • Avg Likes per Tweet:6.3
  • Avg Retweets per Tweet:3.1
  • Followers Analyzed:9,998

Engagement Analysis

Based on 3,209 tweets

The account has moderate engagement with an average of 133 likes and 67 retweets per tweet. The content is primarily informational and not designed for high interaction.

6.3

Avg Likes/Tweet

3.1

Avg Retweets/Tweet

20,161

Total Likes

10,092

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

0

Median Likes

0

Median Retweets

17

75th Percentile

765

Top Tweet

0.08

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

37.3%

Original

60.0%

Replies

1.6%

Retweets

1.2%

Quotes

0.0%

Threads

0.2%

With Media

89.2%

With Links

64.8%

With #Tags

67.3%

With @Mentions

0.4%

With Emojis

202

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1.61

Reply/Original Ratio

0.74

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

93.8%

Weekday Posts

6.2%

Weekend Posts

Top Hashtags

#socialsecurity (941) #ssa (538) #mysocialsecurity (321) #dyk (83) #socialsecurityblog (80) #ff (57) #ssi (56) #slamthescam (42) #retirement (41) #ssafaq (41)

Most Mentioned

@medicaregov (34) @segurosocial (28) @ftc (19) @thessaoig (16) @socialsecurity (12) @rayslou15 (9) @usnatarchives (8) @americasaves (8) @katwilkinson93 (6) @performancegov (5)

Want This Report as PDF?

We're building PDF export for these analytics reports. Register your interest to get early access.

Register Interest

Content Strategy Analysis

Based on 3,209 tweets

Content Type Distribution

Content Breakdown

Original Tweets 1,198 (37%)
Replies 1,924 (60%)
Retweets 50 (2%)
Quote Tweets 37 (1%)

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 50 retweets (2% 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 3,209 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

The primary audience includes U.S. citizens receiving Social Security benefits and those interested in retirement and disability programs. It also reaches individuals seeking updates on government benefits.

Average

Audience Quality

25.1%

Suspicion Index

28.8%

Low-Quality %

45

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

42.1%

Empty Bio

24.0%

<10 Tweets

19.5%

Mass Following (>2K)

0.0%

New (<90 days)

47.6%

Low Ratio (<0.1)

0.0%

New (<180 days)

85.8%

No URL

15.4%

<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 Detector

Follower Reach & Influence

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

24,412,370

Total Potential Reach

45

Median Follower Reach

243

75th Percentile Reach

10.3%

>1K followers

1.4%

>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).

56.8%

Creators

5,683 accounts

19.2%

Consumers

1,920 accounts

24.0%

Dormant

2,395 accounts

203

Verified Followers

2.03% of total

6.8%

Professional Bios

founder, dev, analyst, etc.

0.11

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):

United States (252) USA (97) Los Angeles, CA (61) Florida, USA (60) California, USA (50) New York, USA (45) New York, NY (39) Washington, DC (39) Houston, TX (32) Texas, USA (32)

203

Verified Followers

2.03% of total

1,176

Protected Accounts

11.76% of total

5 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 14,093,369 Wrestler Wrestling, Motivation, Self-promotion
@LeBronJames 1,003,640 - -
@iownjd 771,983 Lawyer learn, inspire, engage
@SenWhitehouse 601,210 Politician Politics, Environment, Rhode Island
@DeViiL100K 304,497 Political Activist Trump, Wall Street, Capitalism
@JoeMcNallyPhoto 270,415 Photographer Photography, Director, Author
@USNatArchives 251,723 Archivist History, Archives, Government
@marica_1029 224,435 Adult entertainer Penthouse Pet, Youtuber, Cancer Fighter
@TheJuanWilliams 156,368 Political Commentator -
@EconomistaFlait 143,104 Economist economía, mercados, finanzas

Top Keywords in Follower Bios

love (420) life (312) retired (213) lover (208) mom (200) dms (178) god (174) proud (150) music (140) world (139)

Top Hashtags in Follower Bios

#blm (75) #resist (63) #voteblue (42) #maga (26) #fbr (19) #resistance (18) #blacklivesmatter (18) #lgbtq (16) #bluecrew (14) #prochoice (13)

5,785

Followers With Bio

4,215

Followers Without Bio

57.85%

% With Bio

42.15%

% 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 $15

Buy Tweet Data

Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.

Buy Tweets - from $15

Viral Tweets

Top 5 by likes+RTs from 3,209 analyzed

1,429

Combined Engagement

945

Total Likes

484

Total Retweets

286

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

60%

With Hashtags

0%

With @Mentions

100%

With Links

Topical Analysis:

Government Communication Social Security Benefits Public Announcements

Key Insights & Takeaways

The account frequently shares breaking news about benefit increases, which likely drives engagement and public interest. The use of hashtags like #SocialSecurity and #SSI helps in reaching a targeted audience. The account emphasizes taxpayer-funded communication, reinforcing its official and trustworthy nature.

Strengths

  • + Established follower base of 112,013
  • + 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 @SocialSecurity reveals an growing Twitter presence with 112,013 followers. The account demonstrates a conversation-first approach, averaging 9.4 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

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