陳時中 Chen Shih-Chung
▴Minister of Health and Welfare ▴National Policy Advisor to the President ▴Deputy Minister, Department of Health, Executive Yuan
50,613
Followers
110
Following
990
Tweets
1,068.0
Avg Engagement
110
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @TaipeiShihChung'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:2022-07-15
- Verification:No
- Location:Taipei City
Data Summary
- Tweets Analyzed:948
- Avg Likes per Tweet:998.0
- Avg Retweets per Tweet:70.0
- Followers Analyzed:42,097
Engagement Analysis
Based on 948 tweetsThe account has a high average engagement rate with likes and retweets, indicating a dedicated and active audience. The content is well-received, with a mix of personal and professional messages resonating with followers.
998.0
Avg Likes/Tweet
70.0
Avg Retweets/Tweet
946,088
Total Likes
66,336
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
667
Median Likes
36
Median Retweets
1,350
75th Percentile
18,083
Top Tweet
21.1
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
36.2%
Original
63.6%
Replies
0.2%
Retweets
0.0%
Quotes
0.0%
Threads
0.0%
With Media
71.1%
With Links
13.0%
With #Tags
7.2%
With @Mentions
23.5%
With Emojis
150
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.76
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
70.4%
Weekday Posts
29.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 948 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 2 retweets (0% 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 948 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 42,097 followersThe audience includes political supporters, citizens interested in public policy, and followers of Taiwanese politics. They are likely engaged with content that reflects on leadership, governance, and public service.
Average
Audience Quality
30.2%
Suspicion Index
38.3%
Low-Quality %
16
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
50.6%
Empty Bio
36.4%
<10 Tweets
10.7%
Mass Following (>2K)
0.0%
New (<90 days)
64.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.0%
No URL
26.1%
<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.
37,331,757
Total Potential Reach
16
Median Follower Reach
72
75th Percentile Reach
3.6%
>1K followers
0.7%
>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).
42.7%
Creators
17,963 accounts
20.9%
Consumers
8,807 accounts
36.4%
Dormant
15,327 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):
63
Verified Followers
0.15% of total
6,105
Protected Accounts
14.5% 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 | 14,106,882 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,701 | - | - |
| @TajinderBagga | 1,110,187 | Politician | BJYM, BJP, Spokesperson |
| @CalvinHelin | 585,750 | Author | empowerment, responsibility, self-reliance |
| @nathanlawkc | 332,137 | Activist | Hong Kong, Activism, Freedom |
| @durayray | 289,516 | English Teacher | English teaching, Memes, Video games |
| @Terenceshen | 276,542 | YouTuber | YouTube, politics, current events |
| @peng_andward | 274,001 | Photographer | malephotography, photographer, Taipei |
| @xchen156 | 247,344 | Journalist | Journalism, Broadcasting, Nieman Fellowship |
| @briian | 205,402 | Unknown | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
20,805
Followers With Bio
21,292
Followers Without Bio
49.42%
% With Bio
50.58%
% 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 948 analyzed45,644
Combined Engagement
42,105
Total Likes
3,539
Total Retweets
9,129
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
0%
With @Mentions
80%
With Links
Topical Analysis:
謝謝大家，對不起，讓大家失望了，在這個關鍵的時刻，各位仍然在此等待，我非常感謝，直到此時此刻，我還是希望這個選舉，是用愛跟包容來命名。幾個月來，感謝大家，每次看到每雙望向我、充滿期待的眼神，我多麼希望我可以親手實現我們共同的夢想，帶領台北這座城市，前往改變的方向。 /1 https://t.co/XsxGxFUCzR
這是我離職前最後一次行政院會的簽名。過去四年，蘇院長的每個決策都讓我見識了這位從政五十年老將的功力。從國家發展到體察民眾的誠懇情感，院長多所關注。作為長官的他，也重視與政務官的意見交換，言行皆見深刻智慧。有幸在蘇院長兩次擔任閣揆麾下五年多，做為團隊的一員共同為台灣打拼，人生足矣！ https://t.co/XcTVm0Bvcr
大家好，我是阿中。今天除夕夜，也是除舊佈新、歡迎新春的好日。久違地能與全家團圓一起吃年夜飯，迎接新年的到來，樂享天倫，倍感幸福。未來我也將懷著全新心情，與大家團結齊力打拚。🐇兔年到，12萬金兔福兔攏總來！再次向所有朋友們致上真誠感謝。也祝福各位迎春添新象，團圓過好年！ https://t.co/1deaNcDeuY
大家晚安，我是阿中。近日，因為郭台銘董事長主動提及去年三千萬劑BNT疫苗口頭承諾之事件。我才請大家要仔細辨別真偽，今天就有媒體人在臉書繪聲繪影拼湊故事，稱去年12月18日前一晚，有一場三千萬劑疫苗的「移交儀式」，全篇內容與真相出入甚鉅，我將逐點說明、還原真相，避免造成無謂撕裂與紛擾：
哈囉，我是阿中，我是陳時中。現在現場已經有這麼多的朋友風雨無阻前來力挺我，還沒到的朋友，我還在等你們，請你們快點加入我們。過了今夜，明天11/26我們一起來翻轉台北，創造歷史，贏得勝利。#台北更好 #台灣共好 https://t.co/2km0B0pXQY
Key Insights & Takeaways
The account often shares personal reflections and gratitude, which fosters a sense of connection with the audience. Content related to public service and policy is well-received, showing a strong interest in governance and leadership. The use of personal milestones, such as resignations and holidays, helps maintain engagement and relevance.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 50,613
- + 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 @TaipeiShihChung reveals an exceptionally influential Twitter presence with 50,613 followers. The account demonstrates a conversation-first approach, averaging 1,068.0 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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