Ian Bogost
Writer & game designer. Director of Film & Media Studies and Professor of Computer Sci & Eng @WUSTL. Contributing Writer @TheAtlantic.
107,834
Followers
5,527
Following
5,943
Tweets
122.7
Avg Engagement
2,292
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ibogost'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:2007-06-15
- Verification:No
- Location:St. Louis
Data Summary
- Tweets Analyzed:3,231
- Avg Likes per Tweet:73.7
- Avg Retweets per Tweet:49.0
- Followers Analyzed:9,984
Engagement Analysis
Based on 3,231 tweetsibogost's tweets receive a high average number of likes and retweets, indicating strong audience interaction. Their content is both controversial and widely shared, suggesting a polarizing yet influential voice.
73.7
Avg Likes/Tweet
49.0
Avg Retweets/Tweet
238,182
Total Likes
158,404
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
0
Median Retweets
22
75th Percentile
91,677
Top Tweet
1.14
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
32.8%
Original
59.6%
Replies
4.6%
Retweets
3.0%
Quotes
0.0%
Threads
0.2%
With Media
31.3%
With Links
0.6%
With #Tags
54.8%
With @Mentions
0.9%
With Emojis
87
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.82
Reply/Original Ratio
0.65
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68.5%
Weekday Posts
31.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,231 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 149 retweets (5% 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 3,231 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 9,984 followersThe audience likely includes academics, game developers, and tech enthusiasts interested in media studies and digital culture. They are also drawn to sharp, thought-provoking commentary on modern technology and media trends.
Good
Audience Quality
18.6%
Suspicion Index
14.6%
Low-Quality %
184
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
21.1%
Empty Bio
11.9%
<10 Tweets
27.4%
Mass Following (>2K)
0.0%
New (<90 days)
32.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
63.3%
No URL
8.0%
<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.
45,170,021
Total Potential Reach
184
Median Follower Reach
724
75th Percentile Reach
20.3%
>1K followers
4.1%
>10K followers
1.0%
>50K followers
0.5%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
73.9%
Creators
7,381 accounts
14.2%
Consumers
1,417 accounts
11.9%
Dormant
1,186 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):
267
Verified Followers
2.67% of total
1,034
Protected Accounts
10.34% of total
9 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 | 14,093,475 | Wrestler | Wrestling, Motivation, Self-promotion |
| @LeonKrauze | 1,583,864 | Journalist | TV, Journalism, Podcasts |
| @jonfavs | 1,438,191 | Podcaster | Politics, Media, Podcasting |
| @depthsofwiki | 783,784 | Wikipedia Enthusiast | Wikipedia, favorite things, fluffybabycow |
| @carolecadwalla | 714,560 | Journalist | journalism, activism, parenting |
| @localscale | 609,067 | Platform Developer | impact, acceleration, initiatives |
| @GonzoTorpedo | 558,465 | Journalist | technology, storytelling, cyborgs |
| @OccupyDemocrats | 552,290 | Political Activist | Progressive, Grassroots, Politics |
| @jonnysun | 531,377 | Writer | comedy, illustration, positivity |
| @duanzi | 511,703 | Comedian | Humor, Entertainment, Life |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,891
Followers With Bio
2,109
Followers Without Bio
78.91%
% With Bio
21.09%
% 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 3,231 analyzed183,966
Combined Engagement
119,448
Total Likes
64,518
Total Retweets
36,793
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
80%
With Links
Topical Analysis:
This is completely insane. https://t.co/3c2MQqhrAn
RT @fuckedupfoods: burger² https://t.co/V6llhewSzh
RT @daily_dolce: Fluffy pancake burgers with fruit https://t.co/FE39Cr6YYd
Did they … blur the fire hydrant’s nipples? https://t.co/QxiJfeRKzP
I can’t believe we spent 20 years making desktop software work well then just decided, “no choice but to make it all shitty forever in a web browser, oh well.”
Key Insights & Takeaways
ibogost often critiques modern technology and media trends with a sharp, critical tone. Their tweets frequently highlight absurdity or irony in contemporary digital culture. They blend academic analysis with accessible, engaging commentary on tech and media.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 107,834
- + 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 @ibogost reveals an well-established Twitter presence with 107,834 followers. The account demonstrates a conversation-first approach, averaging 122.7 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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