Microsoft Research
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548,887
Followers
1,920
Following
9,411
Tweets
119.6
Avg Engagement
6,867
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MSFTResearch'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:2009-02-21
- Verification:Yes
- Location:Not specified
Data Summary
- Tweets Analyzed:3,245
- Avg Likes per Tweet:92.3
- Avg Retweets per Tweet:27.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,245 tweetsThe account consistently receives high engagement, indicating a strong and active audience interested in its research updates. The verified status and collaboration mentions further enhance trust and credibility.
92.3
Avg Likes/Tweet
27.3
Avg Retweets/Tweet
299,461
Total Likes
88,685
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
23
Median Likes
12
Median Retweets
90
75th Percentile
5,112
Top Tweet
0.22
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
68.5%
Original
9.6%
Replies
16.0%
Retweets
5.9%
Quotes
0.0%
Threads
0.3%
With Media
82.1%
With Links
49.2%
With #Tags
54.5%
With @Mentions
1.1%
With Emojis
229
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.14
Reply/Original Ratio
0.37
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
92.9%
Weekday Posts
7.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,245 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 519 retweets (16% 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 3,245 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 researchers, academics, and tech professionals interested in AI, robotics, and innovation. The content is also appealing to students and professionals seeking opportunities like the Microsoft Research PhD fellowship.
Average
Audience Quality
26.6%
Suspicion Index
28.8%
Low-Quality %
27
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.3%
Empty Bio
32.7%
<10 Tweets
11.5%
Mass Following (>2K)
0.0%
New (<90 days)
59.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
77.2%
No URL
22.3%
<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.
38,870,403
Total Potential Reach
27
Median Follower Reach
125
75th Percentile Reach
4.6%
>1K followers
0.5%
>10K followers
0.1%
>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).
42.1%
Creators
21,049 accounts
25.2%
Consumers
12,594 accounts
32.7%
Dormant
16,357 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):
1,136
Verified Followers
1.14% of total
12,149
Protected Accounts
12.15% of total
7 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 | 14,105,156 | Wrestler | Wrestling, Motivation, Self-promotion |
| @SinghLions | 1,334,998 | Restaurateur | Food, Travel, Influencer |
| @codeorg | 1,023,479 | Education | computer science, education, opportunity |
| @Shahidmasooddr | 561,357 | Political Analyst | Politics, Analysis, Media |
| @Princeton | 525,331 | Education | Education, Service, Humanity |
| @ZDNET | 463,916 | Tech News | Technology, Business, News |
| @Scobleizer | 442,796 | Music Producer | Music, Metaverse, Dolby Atmos |
| @drfeifei | 425,107 | Professor | AI, healthcare, computer vision |
| @TrustPad | 423,811 | Cryptocurrency Launchpad | Cryptocurrency, Launchpad, Multi-chain |
| @Kwebbelkop | 414,986 | Game Developer | Gaming, YouTube, Hair Model |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
66,376
Followers With Bio
33,624
Followers Without Bio
66.38%
% With Bio
33.62%
% 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 3,245 analyzed18,757
Combined Engagement
16,144
Total Likes
2,613
Total Retweets
3,751
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
40%
With @Mentions
100%
With Links
Topical Analysis:
Microsoft Researchers with collaborators at @CarnegieMellon and @Stanford created PipeDream, a new way to parallelize deep neural network training. See how PipeDream gets 5.3x faster training time by combining intra- and inter-batch parallelism: https://t.co/8ieraUBKVr #SOSP19
Discover how we're training deep neural networks to control real-world #Robots through simulations in collaboration with @Cmu_Robotics. Check out our recent blog now: https://t.co/w2dtDotcV9 #MicrosoftAI
BioGPT, a domain-specific generative model pre-trained on large-scale biomedical literature, has achieved human parity, outperformed other general and scientific LLMs, and could empower biologists in various scenarios of scientific discovery. Learn more: https://t.co/rWokasnQu1
We’re now accepting nominations and proposals for the Microsoft Research PhD fellowship across Asia, Canada, United States, Europe, Middle East, Africa, Latin America, Australia, and New Zealand. Deadline: June 7, 2022. Check our program page for details: https://t.co/Lasp0DSfiz
Microsoft researchers and engineers release Zero Redundancy Optimizer (ZeRO) and DeepSpeed library, a system able to train 100-billion-parameter deep learning models. Learn about this breakthrough and how it led to Turing Natural Language Generation: https://t.co/NY75qYd07a
Key Insights & Takeaways
The account frequently highlights collaborations with prestigious institutions like Carnegie Mellon and Stanford. It emphasizes cutting-edge research in AI, robotics, and neural networks. It promotes opportunities such as the Microsoft Research PhD fellowship, targeting a global audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 548,887
- + 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 @MSFTResearch reveals an well-established Twitter presence with 548,887 followers. The account demonstrates a content-creator strategy, averaging 119.6 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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