Arab News | Sport
The latest news, results, opinions and videos on Arab and International sport by @ArabNews, the Middle East's leading English daily.
21,474
Followers
12
Following
5,346
Tweets
8.9
Avg Engagement
23
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ArabNewsSport'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:2017-10-13
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:6.5
- Avg Retweets per Tweet:2.4
- Followers Analyzed:9,552
Engagement Analysis
Based on 3,250 tweetsThe account maintains a steady level of engagement with an average of 544 likes and 73 retweets per tweet. Its focus on major events like the FIFA World Cup likely contributes to its consistent engagement rates.
6.5
Avg Likes/Tweet
2.4
Avg Retweets/Tweet
21,259
Total Likes
7,692
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
1
Median Retweets
8
75th Percentile
1,618
Top Tweet
0.41
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
86.1%
Original
10.7%
Replies
2.5%
Retweets
0.7%
Quotes
0.0%
Threads
4.5%
With Media
73.5%
With Links
90.2%
With #Tags
59.4%
With @Mentions
19.1%
With Emojis
165
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.12
Reply/Original Ratio
0.3
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
68.7%
Weekday Posts
31.3%
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 81 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 9,552 followersThe audience is likely sports enthusiasts, particularly those interested in Arab and international football. The account also attracts followers who follow news from the Middle East and global sports events.
Average
Audience Quality
29.5%
Suspicion Index
29.5%
Low-Quality %
57
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44.2%
Empty Bio
25.6%
<10 Tweets
23.8%
Mass Following (>2K)
0.0%
New (<90 days)
62.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.6%
No URL
14.9%
<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.
30,375,731
Total Potential Reach
57
Median Follower Reach
201
75th Percentile Reach
6.2%
>1K followers
1.0%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
47.4%
Creators
4,529 accounts
27.0%
Consumers
2,581 accounts
25.6%
Dormant
2,442 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
0.66% of total
1,081
Protected Accounts
11.32% of total
4 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 | 14,106,669 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,242 | - | - |
| @ctello91 | 1,828,416 | Footballer | Football, Real Betis, Spain |
| @LeBronJames | 1,006,976 | - | - |
| @TimCoronel | 975,699 | Racer | Dakar Rally, Car Wars, Racing |
| @Haqeeqat_TV | 869,066 | Media Personality | Pakistan, YouTube, News |
| @arabnews | 484,936 | News Outlet | Middle East, News, English |
| @AymanYounis | 412,577 | Footballer | Football, Zamalek, Egypt |
| @1N___3 | 298,786 | Accountant | Finance, Welcome, Positive attitude |
| @Zeinobia | 286,181 | Blogger | Blogger, Journalist, Photographer |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,328
Followers With Bio
4,224
Followers Without Bio
55.78%
% With Bio
44.22%
% 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 analyzed4,146
Combined Engagement
3,765
Total Likes
381
Total Retweets
829
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
100%
With Hashtags
20%
With @Mentions
40%
With Links
Topical Analysis:
Tonight? #FIFAWorldCup | #Qatar2022 https://t.co/Hr9QzULujP
🔴🟢 | ⚪️🔵 Who will go furthest in #Qatar2022? #FIFAWorldCup [📸 @FIFAWorldCup]
ALL OVER! THE IMPOSSIBLE IS NOT SAUDI! 🇸🇦 Saudi Arabia are the first ever Arab and Asian nation to beat Argentina at the #FIFAWorldCup.
Round 1. ✅ Round 2. ⏭️ #FIFAWorldCup | #Qatar2022
#SaudiArabia’s rising #tennis star Yara Al-Hogbani beats Isabell Bilaus of #Israel in the semi-final of the J5 Isa Town Tournament 2022 in #Bahrain https://t.co/5bge9kLpzL https://t.co/b7JW7U1ECq
Key Insights & Takeaways
The account heavily promotes major global sporting events, especially the FIFA World Cup. It uses hashtags and visual content to increase visibility and engagement. Its content is tailored to both Arab and international audiences, reflecting its broader reach.
Strengths
- + Established follower base of 21,474
- + 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 @ArabNewsSport reveals an growing Twitter presence with 21,474 followers. The account demonstrates a content-creator strategy, averaging 8.9 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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