University of Oxford
Welcome to our official account 👋 Follow for the latest news, research and updates about life at Oxford.
981,660
Followers
1,513
Following
26,492
Tweets
103.1
Avg Engagement
5,318
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @UniofOxford'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:2009-06-18
- Verification:No
- Location:Oxford, UK
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:84.8
- Avg Retweets per Tweet:18.3
- Followers Analyzed:50,000
- Following Analyzed:25
Engagement Analysis
Based on 3,250 tweetsOn average, tweets receive 3,236 likes and 646 retweets, indicating moderate engagement. The account leverages trending topics and events to boost interaction.
84.8
Avg Likes/Tweet
18.3
Avg Retweets/Tweet
275,731
Total Likes
59,412
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
22
Median Likes
8
Median Retweets
71
75th Percentile
13,319
Top Tweet
0.11
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
46.6%
Original
33.3%
Replies
19.3%
Retweets
0.9%
Quotes
0.0%
Threads
1.9%
With Media
55.8%
With Links
37.6%
With #Tags
67.1%
With @Mentions
39.4%
With Emojis
178
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.71
Reply/Original Ratio
0.04
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
85.3%
Weekday Posts
14.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 626 retweets (19% 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 3,250 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 50,000 followersThe primary audience includes students, faculty, alumni, and the general public interested in Oxford's activities. It also targets international audiences through global events and research highlights.
Average
Audience Quality
34.2%
Suspicion Index
45.8%
Low-Quality %
6
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
50.2%
Empty Bio
53.3%
<10 Tweets
6.3%
Mass Following (>2K)
0.0%
New (<90 days)
69.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.2%
No URL
41.4%
<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 DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
18,668,510
Total Potential Reach
6
Median Follower Reach
45
75th Percentile Reach
3.0%
>1K followers
0.4%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
26.3%
Creators
13,172 accounts
20.3%
Consumers
10,158 accounts
53.3%
Dormant
26,670 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):
700
Verified Followers
0.7% of total
10,681
Protected Accounts
10.68% of total
3 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 |
|---|---|---|---|
| @ImRaina | 20,934,864 | Cricketer | Cricket, Co-Founder, Care |
| @SirKunt | 2,253,972 | - | - |
| @ClevelandClinic | 1,871,781 | Healthcare | Health, News, Tips |
| @metoffice | 939,339 | Meteorologist | Weather, Warnings, App |
| @UMonline | 815,192 | News Outlet | News, Malaysia, Updates |
| @KResearcher | 577,697 | Researcher | Devolution, FactCheck, KenyanHistory |
| @ajtracey | 573,834 | Musician | Music, Grime, Fashion |
| @ochyai | 551,112 | Media Artist | HCI, Fab, XR |
| @BillieJeanKing | 546,960 | Athlete | Sports, Equality, Activism |
| @ekonomikanaliz | 382,109 | Economist | Economics, Education, Research |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
50,729
Followers With Bio
49,271
Followers Without Bio
50.73%
% With Bio
49.27%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,250 analyzed31,177
Combined Engagement
26,687
Total Likes
4,490
Total Retweets
6,235
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
#EidMubarak to everyone celebrating around the world 🙌 #EidAlAdha https://t.co/IQbr2SFaYO
NEW: Oxford mathematical model predicts route to the men's @FIFAWorldCup ⚽️🏆 The model - created by @OxUniMaths' @JoshuaABull - forecasts: 🏴 England to lose in the quarter-final 🇦🇷 Argentina vs Brazil in the semi-final 🇧🇷 Brazil to beat Belgium in the final #WorldCup htt
@cuppymusic Congratulations on completing your thesis! 👏
Can you solve this? 🤔 #OxfordChallenge https://t.co/VJB3YiEGkA
Study views 👌📚 📷 | @wren_gina https://t.co/PUwzBSPd6g
Network & Following Analysis
Based on 25 accounts followedFollowing Quality Signals
Who this account chooses to follow reveals their information diet and network quality.
0.0%
Verified Accounts
0.0%
High Authority (>50K)
56.0%
Dormant Accounts
28.0%
Low Quality
4
Median Reach of Followed Accounts
Heuristic analysis. For ML-powered bot detection, try our Bot Detector.
88.0%
Individuals
22 accounts
4.0%
Brands/Orgs
1 accounts
8.0%
Media/News
2 accounts
Most Influential Accounts They Follow
| Account | Followers | Profession | Interests |
|---|---|---|---|
| @ James Garside | 15,188 | - | - |
| @ flex offender 🅱️ | 265 | - | - |
| @ Humilhada não exaltada | 142 | - | - |
| @ Leyre Casarin | 128 | - | - |
| @ Ari-Matti Erjansola | 67 | - | - |
| @ Elvira Pompili | 54 | - | - |
| @ Kalpesh Talkar | 50 | - | - |
| @ Pedro Rafael Lopes Fernandes | 37 | - | - |
| @ Arzaan Averío Rahmani | 13 | - | - |
| @ Karen Joy Anito- Gealon | 11 | - | - |
Key Insights & Takeaways
The account frequently shares news and research updates, which helps maintain relevance and visibility. It uses hashtags and links to promote specific content and events, encouraging user interaction. Engagement is supported by timely and topic-relevant tweets, such as Eid Mubarak and World Cup predictions.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 981,660
- + Strong original content creation
- + 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 @UniofOxford reveals an well-established Twitter presence with 981,660 followers. The account demonstrates a content-creator strategy, averaging 103.1 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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