TaiwanCDC
Official Twitter account of Centers for Disease Control, ROC (Taiwan)💪☺️🇹🇼
109,477
Followers
67
Following
4,376
Tweets
89.9
Avg Engagement
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Taiwan_CDC'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:2017-01-13
- Verification:Yes
- Location:Taipei City, Taiwan
Data Summary
- Tweets Analyzed:3,200
- Avg Likes per Tweet:64.7
- Avg Retweets per Tweet:25.2
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,200 tweetsThe account maintains a steady level of engagement with an average of 1,004 likes and 261 retweets per tweet. Its content often includes links to news articles and official statements, which contribute to its credibility and reach.
64.7
Avg Likes/Tweet
25.2
Avg Retweets/Tweet
207,044
Total Likes
80,758
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
48
Median Likes
10
Median Retweets
102
75th Percentile
5,543
Top Tweet
0.82
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
78.8%
Original
16.4%
Replies
4.6%
Retweets
0.2%
Quotes
0.0%
Threads
0.0%
With Media
50.5%
With Links
80.4%
With #Tags
4.9%
With @Mentions
11.9%
With Emojis
102
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.21
Reply/Original Ratio
0.03
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
80.9%
Weekday Posts
19.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,200 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 147 retweets (5% 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 3,200 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 residents of Taiwan, healthcare professionals, and international stakeholders interested in public health. The account also engages with global audiences, especially those in Japan and other countries providing medical aid.
Below Average
Audience Quality
42.5%
Suspicion Index
68.0%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
72.9%
Empty Bio
74.1%
<10 Tweets
2.3%
Mass Following (>2K)
0.0%
New (<90 days)
76.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
96.3%
No URL
63.1%
<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.
998,994
Total Potential Reach
1
Median Follower Reach
7
75th Percentile Reach
0.8%
>1K followers
0.1%
>10K followers
0.0%
>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).
10.8%
Creators
1,082 accounts
15.1%
Consumers
1,512 accounts
74.1%
Dormant
7,406 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):
15
Verified Followers
0.15% of total
967
Protected Accounts
9.67% of total
2 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 |
|---|---|---|---|
| @ChuBailiang | 179,189 | Journalist | China, New York Times, Reporter |
| @LouisTheDeka | 152,706 | Adult Content Creator | Anime, Gaming, Fitness |
| @Meant001 | 104,384 | Food Blogger | Bodybuilding, Organic food, Fitness |
| @somalilandmfa | 78,127 | Diplomat | Foreign Affairs, International Cooperation, Somaliland |
| @Jump_Ming | 40,789 | Athlete | Track and Field, 100m, Pole Vault |
| @leoncfu | 24,772 | - | - |
| @33isnotMhere | 15,312 | - | - |
| @cameroon_data | 13,461 | - | - |
| @morilyn1123 | 11,091 | - | - |
| @SarahYao0928 | 10,715 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
2,706
Followers With Bio
7,294
Followers Without Bio
27.06%
% With Bio
72.94%
% 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 3,200 analyzed17,321
Combined Engagement
2,508
Total Likes
14,813
Total Retweets
3,464
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
RT @MOFA_Taiwan: #StandWithUkraine🇺🇦 https://t.co/EwINhHU3hS
RT @iingwen: I regret that @WHO has once again excluded #Taiwan from international dialogue for political reasons. Politics should never override professionalism, & no amount of pressure will stop us from continuing to fight #COVID19 & contribute to global health. #Taiwan
2021/06/04 #嚴重特殊傳染性肺炎 #COVID19 #TaiwanCDC 日本政府提供124萬劑AstraZeneca COVID-19疫苗將於今(4)日下午抵臺 新聞連結：https://t.co/yTzUe82FRQ 日本の皆様からの心温まる支援を心より感謝を申し上げます。 https://t.co/naUXklpjoW
RT @MOFA_Taiwan: These oxygen concentrators & cylinders are love from #Taiwan. More help for our friends in #India is on the way. #IndiaStayStrong! JW https://t.co/PipLVxRHWz
RT @WHO: LIVE: Q&A on novel coronavirus (2019-nCoV) https://t.co/keFOCZGA8u
Key Insights & Takeaways
The account frequently highlights international cooperation and gratitude towards foreign governments for vaccine support. It shares detailed updates on the number of confirmed cases, recoveries, and deaths, providing transparency. The use of hashtags and multilingual content helps in reaching a broader and more diverse audience.
Strengths
- + Established follower base of 109,477
- + 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 @Taiwan_CDC reveals an growing Twitter presence with 109,477 followers. The account demonstrates a content-creator strategy, averaging 89.9 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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