Carissa Véliz
Associate Professor @UniofOxford. Author of #PrivacyIsPower (An @TheEconomist Book of the Year. @PenguinUKBooks). Keynote Speaker. #Privacy #AIEthics
22,271
Followers
3,996
Following
8,014
Tweets
51.3
Avg Engagement
456
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @CarissaVeliz'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:2011-05-24
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,241
- Avg Likes per Tweet:14.4
- Avg Retweets per Tweet:37.0
- Followers Analyzed:19,703
Engagement Analysis
Based on 3,241 tweetsHer tweets generally receive a moderate level of engagement, with an average of 827 likes and 230 retweets. The content is well-received and often sparks discussions around AI ethics and privacy.
14.4
Avg Likes/Tweet
37.0
Avg Retweets/Tweet
46,615
Total Likes
119,799
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
4
Median Retweets
27
75th Percentile
42,753
Top Tweet
2.31
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
33.8%
Original
34.2%
Replies
25.2%
Retweets
6.8%
Quotes
0.0%
Threads
0.2%
With Media
65.0%
With Links
48.8%
With #Tags
66.3%
With @Mentions
15.0%
With Emojis
181
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.01
Reply/Original Ratio
0.27
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
79.3%
Weekday Posts
20.7%
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 3,241 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 816 retweets (25% 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 3,241 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 19,703 followersHer followers are likely interested in technology, ethics, and privacy issues. They may include students, researchers, and professionals in the fields of AI and digital policy.
Good
Audience Quality
17.0%
Suspicion Index
13.7%
Low-Quality %
275
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
21.8%
Empty Bio
8.8%
<10 Tweets
28.5%
Mass Following (>2K)
0.0%
New (<90 days)
26.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
62.5%
No URL
5.5%
<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.
109,880,829
Total Potential Reach
275
Median Follower Reach
1,187
75th Percentile Reach
27.8%
>1K followers
6.0%
>10K followers
1.3%
>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).
79.4%
Creators
15,635 accounts
11.8%
Consumers
2,332 accounts
8.8%
Dormant
1,736 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):
631
Verified Followers
3.2% of total
1,883
Protected Accounts
9.56% 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 | 14,106,633 | Wrestler | Wrestling, Motivation, Self-promotion |
| @MarceloTas | 9,133,176 | Influencer | - |
| @verified | 4,201,420 | - | - |
| @JordiWild | 3,618,796 | Podcaster | Podcast, Contacto profesional, Comedia |
| @_anapastor_ | 2,003,421 | Journalist | Journalism, Newtral, Spain |
| @miguelhotero | 1,926,985 | Journalist | Politics, Journalism, Leadership |
| @leozuckermann | 1,357,084 | Political Analyst | Politics, Journalism, Television |
| @elpais_tec | 1,120,947 | Technology News | technology, digital transformation, events |
| @SarahBrownUK | 990,127 | Advocate | Education, Global Crisis, Podcast |
| @warkentin | 731,640 | Radio host | PUMAS, chocolate, Mexico |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
15,407
Followers With Bio
4,296
Followers Without Bio
78.2%
% With Bio
21.8%
% 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 3,241 analyzed67,861
Combined Engagement
4,177
Total Likes
63,684
Total Retweets
13,572
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @anothercohen: I was laid off from Twitter this afternoon. I was in charge of managing badge access to Twitter offices. Elon just called me and asked if I could come back to help them regain access to HQ as they shut off all badges and accidentally locked themselves out.
RT @ShannonVallor: The saddest thing for me about modern tech’s long spiral into user manipulation and surveillance is how it has just slowly killed off the joy that people like me used to feel about new tech. Every product Meta or Amazon announces makes the future seem bleaker a
RT @jsrailton: BREAKING: massive, global leak of the targets of NSO Group's Pegasus spyware. *huge deal.* Forensic investigation by @AmnestyTech in collaboration with @FbdnStories reporters. We @citizenlab conducted peer review. Here's an explainer THREAD. https://t.co/TasF
RT @motherboard: NEW: We've obtained court documents that show Facebook gave police a Nebraska teenager’s private chats about her abortion, then used those chats to seize her phone and computer. https://t.co/7pQT5ag4DH
Very happy to share that The Oxford Handbook of Digital Ethics is now finished and will be out in the next few months! Some of it is already published online. If you're interested in #DigitalEthics, #AIEthics, #ethics, #privacy, #AI, #philosophy, this one is for you... 🧵👇 https:/
Key Insights & Takeaways
Her work emphasizes the need for collaboration between AI ethicists and policymakers before releasing new models. She uses relatable analogies, such as comparing AI to a parent and humans to children, to highlight ethical concerns. Her focus on privacy and digital ethics positions her as a thought leader in the field.
Strengths
- + Established follower base of 22,271
- + 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 @CarissaVeliz reveals an growing Twitter presence with 22,271 followers. The account demonstrates a conversation-first approach, averaging 51.3 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