Mexicanos Contra la Corrupción
Analizamos la corrupción, hacemos periodismo, buscamos justicia, movilizamos socialmente y conversamos.
362,522
Followers
796
Following
10,760
Tweets
808.9
Avg Engagement
1,171
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MXvsCORRUPCION'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:2016-03-09
- Verification:No
- Location:México
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:515.5
- Avg Retweets per Tweet:293.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account has high average likes and retweets, indicating strong audience interaction. Its content is often shared widely, suggesting it resonates with a broad and active audience.
515.5
Avg Likes/Tweet
293.4
Avg Retweets/Tweet
1,675,409
Total Likes
953,563
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
145
Median Likes
75
Median Retweets
665
75th Percentile
30,198
Top Tweet
2.23
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
54.4%
Original
43.2%
Replies
1.8%
Retweets
0.6%
Quotes
0.0%
Threads
0.0%
With Media
78.4%
With Links
31.0%
With #Tags
43.6%
With @Mentions
8.4%
With Emojis
232
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.8
Reply/Original Ratio
0.34
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
89.8%
Weekday Posts
10.2%
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 58 retweets (2% 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 audience is primarily interested in political and social issues, particularly corruption and justice. They are likely to be activists, journalists, and citizens concerned with transparency and accountability.
Average
Audience Quality
27.3%
Suspicion Index
38.6%
Low-Quality %
15
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
57.2%
Empty Bio
29.0%
<10 Tweets
5.9%
Mass Following (>2K)
0.0%
New (<90 days)
60.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.1%
No URL
20.0%
<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.
33,175,946
Total Potential Reach
15
Median Follower Reach
83
75th Percentile Reach
3.7%
>1K followers
0.4%
>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).
50.8%
Creators
25,380 accounts
20.3%
Consumers
10,141 accounts
29.0%
Dormant
14,479 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):
301
Verified Followers
0.3% of total
10,034
Protected Accounts
10.03% of total
6 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 | 14,103,413 | Wrestler | Wrestling, Motivation, Self-promotion |
| @lydiacachosi | 1,423,925 | - | - |
| @DaniBisogno | 841,349 | Conductor de televisión | Ventaneando, La Tetera, Teatro |
| @rivapa | 600,154 | Journalist | Journalism, Politics, Mexico |
| @AnaPOrdorica | 584,681 | Journalist | Periodista, Foro TV, Podcast |
| @Nissan_mx | 580,636 | Automotive | autos, seguridad, calidad |
| @YuririaSierra | 544,752 | Periodista | Periodismo, libros, risa |
| @doctormacias | 407,306 | Medical Doctor | Medicine, Public Health, Research |
| @tumbaburross | 391,322 | Activista | Socialismo, Capitalismo, Negocio |
| @lucialopezchile | 365,501 | Journalist | Periodismo, Radio, TV |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
44,669
Followers With Bio
55,331
Followers Without Bio
44.67%
% With Bio
55.33%
% 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 analyzed122,596
Combined Engagement
78,463
Total Likes
44,133
Total Retweets
24,519
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
El 19 de agosto de 2019, Pemex firmó un contrato por US85 millones con la petrolera texana #BakerHughes . Un mes después, el hijo mayor de @lopezobrador_ y su pareja ocuparon una casa en Houston propiedad de un alto ejecutivo de #BakerHughes. https://t.co/84IrBYwkdM https://t.co
El AIFA tomará vuelo ✈️ hoy entre turbulencias. @MXvsCORRUPCION identificó que @SEDENAmx repartió contratos a empresas recién creadas, sin instalaciones, ligadas a factureros, con antecedentes de corrupción o “de la mafia del poder”. (hilo) 👇🏼
#ÚltimaHora: Documentos hackeados a la Sedena revelan la venta de armas del Ejército a un grupo del narco, desde el Campo Militar 1. #SedenaLeaks🔓: https://t.co/XjVH79cnwT
Las palabras incendiarias que emanan del presidente @lopezobrador_ incitan a la violencia y por ende no pueden ni deben ser aceptadas en una democracia. A pesar de las difíciles condiciones en que nos toca trabajar, seguiremos denunciando la corrupción y la impunidad https://t.c
#Exclusiva: Este video muestra al secretario particular de @lopezobrador_ y a alta funcionaria de la Presidencia en #OperaciónCarrusel en la que se trianguló dinero de damnificados por el sismo a políticos de @PartidoMorenaMx https://t.co/omtFUEz7u0 https://t.co/XfqmdDFVZT
Key Insights & Takeaways
The account frequently highlights high-profile corruption cases involving government officials and corporations. It uses hashtags and links to documents to drive awareness and mobilization. It focuses on exposing systemic issues within institutions like Pemex and the Sedena.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 362,522
- + 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 @MXvsCORRUPCION reveals an well-established Twitter presence with 362,522 followers. The account demonstrates a content-creator strategy, averaging 808.9 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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