Diane Abbott MP
Member of Parliament for Hackney North and Stoke Newington. Retweeting does not mean agreement.
413,279
Followers
954
Following
48,188
Tweets
1,050.5
Avg Engagement
2,838
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @HackneyAbbott'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:2010-06-09
- Verification:Yes
- Location:Hackney, London
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:713.8
- Avg Retweets per Tweet:336.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,249 tweetsThe account maintains high engagement with an average of 19,152 likes and 3,455 retweets per tweet. The verified status at 0.8% suggests a mix of public figures and genuine supporters.
713.8
Avg Likes/Tweet
336.7
Avg Retweets/Tweet
2,319,274
Total Likes
1,093,844
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
136
Median Likes
76
Median Retweets
859
75th Percentile
49,716
Top Tweet
2.54
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
5.5%
Replies
26.1%
Retweets
14.0%
Quotes
0.0%
Threads
0.1%
With Media
69.2%
With Links
20.4%
With #Tags
43.6%
With @Mentions
5.5%
With Emojis
168
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.1
Reply/Original Ratio
0.54
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
88.0%
Weekday Posts
12.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 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 848 retweets (26% 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 3,249 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 politically engaged individuals, likely in the UK, interested in parliamentary affairs and social issues. They are active in discussions around Labour Party policies and media scrutiny.
Average
Audience Quality
24.8%
Suspicion Index
30.1%
Low-Quality %
39
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.4%
Empty Bio
27.2%
<10 Tweets
14.0%
Mass Following (>2K)
0.0%
New (<90 days)
49.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.6%
No URL
18.7%
<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.
53,138,600
Total Potential Reach
39
Median Follower Reach
216
75th Percentile Reach
8.3%
>1K followers
0.8%
>10K followers
0.2%
>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).
52.9%
Creators
26,425 accounts
19.9%
Consumers
9,968 accounts
27.2%
Dormant
13,607 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):
754
Verified Followers
0.75% of total
11,069
Protected Accounts
10.96% 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 | 14,104,407 | Wrestler | Wrestling, Motivation, Self-promotion |
| @GreatestQuotes | 4,235,282 | Inspirational Speaker | Challenge, Motivate, Inspire |
| @davidwalliams | 2,291,379 | Comedian | comedian, author, children |
| @SinghLions | 1,334,821 | Restaurateur | Food, Travel, Influencer |
| @ZachBoychuk | 829,630 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @NHSMillion | 794,931 | Supporters | Gratitude, Support, Campaign |
| @SenRehmanMalik | 744,988 | Politician | Politics, Security, Writing |
| @MIAuniverse | 704,133 | Musician | music, activism, art |
| @WipeHomophobia | 697,107 | - | - |
| @osgaweesh | 660,032 | Journalist | Journalism, TV presenting, Dentistry |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
62,912
Followers With Bio
38,087
Followers Without Bio
62.29%
% With Bio
37.71%
% 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 3,249 analyzed143,090
Combined Engagement
105,418
Total Likes
37,672
Total Retweets
28,618
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
40%
With @Mentions
60%
With Links
Topical Analysis:
This is Glen Owen the Mail on Sunday journalist who wrote the ridiculously misogynistic story about Angela Rayner and her legs. Interesting that he feels entitled to judge female MPs by their looks. https://t.co/ZVKOGPCpOS
Crushing defeat for Labour in Hartlepool. Not possible to blame Jeremy Corbyn for this result. Labour won the seat twice under his leadership. Keir Starmer must think again about his strategy #HartlepoolByElection
I will be voting against Priti Patel’s anti-democratic policing bill today. It will: legalise seizing Gypsy & Traveller vehicles; impose 10 year sentence for damaging statues & criminalise peaceful protest #PoliceCrackdownBill https://t.co/1gMBOaDOej
So Keir will make Britain the best place to work - unless you work for @UKLabour He has made 90 staff redundant. But is also recruiting workers on insecure temporary contracts with worse employment conditions #FutureOfWork https://t.co/3CbUeEKuCY
RT @JamesTCobbler: Instead of making offenders wear high viz jackets in chain gangs, how about helping them get a real job instead? In my s…
Key Insights & Takeaways
The account frequently criticizes media portrayal of politicians, particularly focusing on gender issues. It highlights political accountability, especially regarding Labour's performance and leadership. It opposes policies that affect marginalized communities, such as the anti-democratic policing bill.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 413,279
- + 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 @HackneyAbbott reveals an exceptionally influential Twitter presence with 413,279 followers. The account demonstrates a content-creator strategy, averaging 1,050.5 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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