Boston University
A leading research institution in the heart of #Boston. Follow us to hear about all things BU! 📧: social@bu.edu | Community Guidelines: https://www.bu.edu/prsocial/social-media-community-guidelines/
109.794
Followers
20.352
Following
19.957
Tweets
16,8
Avg Engagement
1.322
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @BU_Tweets'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:2010-01-13
- Verification:No
- Location:Boston, MA
Data Summary
- Tweets Analyzed:3.250
- Avg Likes per Tweet:12,9
- Avg Retweets per Tweet:3,8
- Followers Analyzed:10.000
Engagement Analysis
Based on 3.250 tweetsThe account averages around 591 likes and 75 retweets per tweet, showing moderate engagement. The verified status and consistent posting contribute to its reach and credibility.
12,9
Avg Likes/Tweet
3,8
Avg Retweets/Tweet
42.052
Total Likes
12.399
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
2
Median Retweets
15
75th Percentile
1.669
Top Tweet
0,15
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
48,9%
Original
14,4%
Replies
34,5%
Retweets
2,3%
Quotes
0,0%
Threads
2,0%
With Media
89,2%
With Links
32,7%
With #Tags
72,8%
With @Mentions
41,3%
With Emojis
209
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0,29
Reply/Original Ratio
0,07
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
86,6%
Weekday Posts
13,4%
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 1.120 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 3.250 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 10.000 followersThe primary audience includes students, faculty, and alumni of Boston University, as well as the general public interested in academic and technological topics. The content also appeals to travelers and those curious about AI and memory research.
Average
Audience Quality
26,7%
Suspicion Index
31,1%
Low-Quality %
27
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
36,3%
Empty Bio
36,0%
<10 Tweets
14,6%
Mass Following (>2K)
0,0%
New (<90 days)
51,0%
Low Ratio (<0.1)
0,0%
New (<180 days)
80,0%
No URL
25,9%
<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.
22.991.567
Total Potential Reach
27
Median Follower Reach
164
75th Percentile Reach
6,6%
>1K followers
1,1%
>10K followers
0,3%
>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).
42,5%
Creators
4.246 accounts
21,6%
Consumers
2.158 accounts
36,0%
Dormant
3.596 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):
115
Verified Followers
1.15% of total
1.170
Protected Accounts
11.7% 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 | 14.093.477 | Wrestler | Wrestling, Motivation, Self-promotion |
| @jjmnyika | 1.011.311 | Politician | Politics, Leadership, Government |
| @murtazasolangi | 578.530 | Journalist | Journalism, Media, Politics |
| @farukmercan | 260.204 | Translator | Politics, News, Commentary |
| @ShafiqaKhplwak | 241.726 | Writer | Poetry, Fiction Writing, Columnist |
| @Innov_Medicine | 239.495 | - | - |
| @jorcervan | 237.722 | Writer | Mythology, Self-discovery, Openness |
| @OxfordDiplomat | 178.029 | Diplomat | Cyber, Gender, Diplomacy |
| @CDCFound | 150.219 | Non-profit | Public Health, Partnerships, Innovation |
| @vanessavallej0 | 143.833 | Economist | Politics, Economics, Freedom |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6.372
Followers With Bio
3.628
Followers Without Bio
63.72%
% With Bio
36.28%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3.250 analyzed4.426
Combined Engagement
4.014
Total Likes
412
Total Retweets
885
Avg per Tweet
Key Metrics for Viral Tweets
20%
With Media
60%
With Hashtags
20%
With @Mentions
60%
With Links
Topical Analysis:
Can we trust #ChatGPT and #ArtificialIntelligence to do humans' work? Developed by the Microsoft-backed OpenAI, the computer program reportedly hit 100M users in January alone and has been called an AI breakthrough. But is all the hype overblown? 🧵 (1/5) https://t.co/KluuOgA2
It might be hard to believe, but this is a picture of a memory. In this image, the blue dots are positive memory cells, & the red dots are negative memory cells. Memories exist in the brain as networks of cells called engrams & are stored & processed all over the brai
Airbnb 🏡 or hotel 🏨? That's a common dilemma many people face these days when booking travel. Some argue a hotel that caters to all of your needs reigns supreme. While others would much rather have the seclusion and independence of a private home. 🧵 (1/4) https://t.co/cS6LSIWQOl
October is #CybersecurityAwarenessMonth! 📲 💻 🖥️ As the tech world continues to grow, so does the magnitude of cyberattacks. To help you stay vigilant, here are some useful tips to follow. 🧵(1/7) @buithelp
Ahead of this year's observance of #Juneteenth, BU community members came together for a special photo essay to reflect on the holiday's significance. In this piece, hear from racial justice scholars, legal experts, political scientists, and others. https://t.co/37oEDEuvKB
Key Insights & Takeaways
The account frequently discusses AI and its implications, indicating a focus on technology and ethics. It uses visual content like images to explain complex topics such as memory cells. The account engages with current trends, such as the debate between Airbnb and hotels.
Strengths
- + Established follower base of 109.794
- + 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 @BU_Tweets reveals an growing Twitter presence with 109.794 followers. The account demonstrates a content-creator strategy, averaging 16,8 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.
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