J&K Anti Corruption Bureau

J&K Anti Corruption Bureau

@JKACB

Official Twitter account of J&K ACB. Account not monitored 24x7. If you have any info, please mail us on [email protected]. Toll Free-18001807152

WhatsApp Helpline 9419678060 https://t.co/igMfUlgZcf Joined 2019-05-10 Date of Analysis: Dec 16, 2025

58,310

Followers

479

Tweets

81.6

Avg Engagement

50

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @JKACB'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:2019-05-10
  • Verification:No
  • Location:WhatsApp Helpline 9419678060

Data Summary

  • Tweets Analyzed:455
  • Avg Likes per Tweet:72.1
  • Avg Retweets per Tweet:9.5
  • Followers Analyzed:10,000

Engagement Analysis

Based on 455 tweets

The account has moderate engagement with an average of 584 likes and 101 retweets per tweet. The content is likely to resonate with those concerned about corruption and public accountability.

72.1

Avg Likes/Tweet

9.5

Avg Retweets/Tweet

32,804

Total Likes

4,313

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

35

Median Likes

4

Median Retweets

91

75th Percentile

2,510

Top Tweet

1.4

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

92.7%

Original

5.5%

Replies

1.8%

Retweets

0.0%

Quotes

0.0%

Threads

0.0%

With Media

90.5%

With Links

0.9%

With #Tags

82.4%

With @Mentions

0.0%

With Emojis

208

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.06

Reply/Original Ratio

0.0

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

83.3%

Weekday Posts

16.7%

Weekend Posts

Top Hashtags

#zerotoleranceforcorruption (3) #transparentgovernance (2) #jammuandkashmir (1)

Most Mentioned

@diprjk (358) @anandkumar9876 (357) @jmukmrpolice (356) @zphqjammu (62) @kashmirpolice (62) @jk (9) @basit_wani_ (2) @jkacb (2) @manojsinha_ (2) @mmmhassan (2)

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Content Strategy Analysis

Based on 455 tweets

Content Type Distribution

Content Breakdown

Original Tweets 422 (93%)
Replies 25 (5%)
Retweets 8 (2%)
Quote Tweets 0 (0%)

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 8 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 455 tweets

Engagement 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 followers

The primary audience includes citizens of Jammu and Kashmir who are interested in government transparency and anti-corruption efforts. It also targets individuals who may have information about corrupt practices.

Below Average

Audience Quality

37.5%

Suspicion Index

100.0%

Low-Quality %

5

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

100.0%

Empty Bio

100.0%

<10 Tweets

0.0%

Mass Following (>2K)

0.0%

New (<90 days)

0.0%

Low Ratio (<0.1)

0.0%

New (<180 days)

93.3%

No URL

100.0%

<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.

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Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

923,565

Total Potential Reach

5

Median Follower Reach

19

75th Percentile Reach

0.9%

>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).

0.0%

Creators

0 accounts

0.0%

Consumers

0 accounts

100.0%

Dormant

10,000 accounts

0

Verified Followers

0.0% of total

0.0%

Professional Bios

founder, dev, analyst, etc.

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):

Jammu & Kashmir (321) Jammu, Jammu & Kashmir, India (260) Jammu And Kashmir (182) Srinagar, Jammu & Kashmir (177) India (106) Kashmir (79) Jammu, Jammu And Kashmir (75) Srinagar, India (70) Anantnag, Jammu & Kashmir (64) Jammu (59)

0

Verified Followers

0.0% of total

583

Protected Accounts

5.83% of total

3 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
@Aarzaai_Ishq 243,913 Poet Poetry, Quotes, Promotion
@chghussain 79,437 - -
@upscnetwork4 32,785 - -
@hcrpsgs 32,568 - -
@varunkapurz 24,072 - -
@KaiserGanai_ 23,846 - -
@shamlalofficial 15,532 - -
@Wajahatfarooqbt 13,267 - -
@fazilmir900 8,485 - -
@DigSkr 7,260 - -

Top Keywords in Follower Bios

kashmir (267) student (250) jk (182) life (170) jammu (157) social (145) love (140) engineer (131) allah (106) university (99)

Top Hashtags in Follower Bios

#kashmiri (9) #student (9) #kashmir (7) #muslim (5) #my (4) #social (4) #love (3) #civil_engineer (3) #nature (3) #lawyer (2)

4,759

Followers With Bio

5,241

Followers Without Bio

47.59%

% With Bio

52.41%

% 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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Viral Tweets

Top 5 by likes+RTs from 455 analyzed

4,835

Combined Engagement

4,150

Total Likes

685

Total Retweets

967

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

80%

With @Mentions

80%

With Links

Topical Analysis:

Anti-Corruption Government Accountability Public Reporting
J&K Anti Corruption…
@JKACB

In case of demand of bribe or any other information regarding corrupt activities of Govt. officials, please inform J&amp;K ACB Helpline on 9419678060.

2022-02-03
Retweets: 438 Likes: 2,072 Engagement: 2,510
J&K Anti Corruption…
@JKACB

ACB traps and arrests Mohammad Younis Bangroo, Tehsildar Shalteng, Srinagar and Gh. Rasool Hajam, Naib Tehsildar, Batamaloo while demanding ₹5 lakh and accepting ₹2 lakh bribe as 1st instalment. More details on https://t.co/maZzONulCC @anandkumar9876 @diprjk @JmuKmrPolice

2022-07-18
Retweets: 101 Likes: 777 Engagement: 878
J&K Anti Corruption…
@JKACB

Habibullah Mir, Naib Tehsildar, Chuker, Tehsil Kunzer, District Baramulla arrested for demanding ₹30,000 from complainant for granting permission for cutting walnut tree. More details on https://t.co/MutumMISY2. @anandkumar9876 @diprjk @JmuKmrPolice

2022-02-17
Retweets: 53 Likes: 444 Engagement: 497
J&K Anti Corruption…
@JKACB

ACB traps and arrests Tariq Ahmad Kachroo, Executive Engineer, Jal Shakti Department while demanding ₹1,36,000 and accepting ₹25,000 bribe as 2nd Installment. More details on https://t.co/GURnZXTYIU @anandkumar9876 @diprjk @JmuKmrPolice

2022-08-18
Retweets: 49 Likes: 426 Engagement: 475
J&K Anti Corruption…
@JKACB

ACB traps and arrests Majid Choudhary,Tehsildar, Panthachowk and his Clerk red-handed while demanding ₹1.61 Lakh and accepting ₹1.20 lakh bribe as first installment for issuance or revenue records. More details on https://t.co/0z19e6SSHc @anandkumar9876 @diprjk @JmuKmrPolice

2022-08-03
Retweets: 44 Likes: 431 Engagement: 475

Key Insights & Takeaways

The account emphasizes the importance of reporting corruption and provides direct channels for communication. It highlights real cases of officials being arrested for demanding bribes, which reinforces its mission. The account is not actively monitored, which may affect its responsiveness and real-time engagement.

Strengths

  • + Established follower base of 58,310
  • + 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 @JKACB reveals an growing Twitter presence with 58,310 followers. The account demonstrates a content-creator strategy, averaging 81.6 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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About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025