Account Summary
Bio
Writer & game designer. Director of Film & Media Studies and Professor of Computer Sci & Eng @WUSTL. Contributing Writer @TheAtlantic.
Followers Count
107,834
Friends Count
5,527
Tweets Count
5,943
List Count
2,292
Location
St. Louis
Verified
No
Followers Analysis (based on followers sample)
Verified
Number of Verified accounts
267
Percentage of Verified accounts
2.67%
Protected
Number of Protected accounts
1,034
Percentage of Protected accounts
10.34%
Age
Average Age of Twitter accounts
9 years
Bios
Number of users without a Bio
2,109
Number of users with a Bio
7,891
Percentage of users with a Bio
78.91%
Percentage of users without a Bio
21.09%
Worldcloud of Bios
Top 10 followers with the highest follower count
| Username | Followers Count | Friends Count | Tweet Count |
|---|---|---|---|
| JohnCena | 14093475 | 584266 | 7469 |
| LeonKrauze | 1583864 | 22318 | 157363 |
| jonfavs | 1438191 | 1675 | 14915 |
| depthsofwiki | 783784 | 4229 | 5099 |
| carolecadwalla | 714560 | 5592 | 21526 |
| localscale | 609067 | 56735 | 207 |
| GonzoTorpedo | 558465 | 50450 | 3083 |
| OccupyDemocrats | 552290 | 23555 | 109999 |
| jonnysun | 531377 | 2608 | 43138 |
| duanzi | 511703 | 352 | 2005 |
Top 10 followers with the highest following count
| Username | Friends Count | Followers Count | Tweet Count |
|---|---|---|---|
| JohnCena | 584266 | 14093475 | 7469 |
| MisterSalesman | 414508 | 388418 | 2225083 |
| StephenCaggiano | 330526 | 343356 | 101779 |
| zammit_marc | 299632 | 386520 | 64583 |
| Dr_Rafizadeh | 126553 | 121896 | 9927 |
| octagon_game_st | 115578 | 135336 | 30182 |
| AmyTaylorNYC | 112470 | 122358 | 31753 |
| ipfconline1 | 110739 | 132825 | 232874 |
| Octopusintell | 106623 | 143256 | 19162 |
| MKutney | 82185 | 100859 | 21275 |
Top 10 followers with the highest tweet count
| Username | Tweets Count | Followers Count | Friends Count |
|---|---|---|---|
| MisterSalesman | 2225083 | 388418 | 414508 |
| alizardx | 839309 | 3497 | 4962 |
| MelissaJPeltier | 705962 | 65410 | 13669 |
| courageousgirl2 | 631062 | 24370 | 24505 |
| joejaggi | 510284 | 1737 | 4932 |
| asemota | 430714 | 286213 | 8733 |
| gallerychapel | 427674 | 1990 | 3816 |
| webdigitalworks | 313693 | 49273 | 51128 |
| techstoa | 312504 | 20030 | 22032 |
| scorpiondesign7 | 296189 | 7980 | 8553 |
Top 10 followers with the highest listed count
| Username | Listed Count | Friends Count | Followers Count |
|---|---|---|---|
| JohnCena | 31632 | 584266 | 14093475 |
| Scobleizer | 23083 | 71020 | 456951 |
| jonfavs | 11055 | 1675 | 1438191 |
| localscale | 10174 | 56735 | 609067 |
| ipfconline1 | 7654 | 110739 | 132825 |
| LeonKrauze | 7326 | 22318 | 1583864 |
| ambermac | 6278 | 37724 | 128524 |
| ritholtz | 6045 | 2556 | 212967 |
| SpirosMargaris | 5877 | 21605 | 129292 |
| LanceUlanoff | 5449 | 9068 | 91482 |
Tweets Analysis
Overview
Total number of tweets analysed
3,231
Earliest tweet was on
2022-08-27
Latest tweet was on
2023-05-20
Tweets covering
266 days
Types of Tweets
Number of Retweets
149
Percentage of total tweets
4%
Number of Original tweets
3,082
Percentage of total tweets
95%
Number of tweets that contain Mentions
1,620
Percentage of total tweets
50%
Number of tweets that were Replies
1,925
Percentage of total tweets
59%
Number of tweets that were Quotes
128
Percentage of total tweets
3%
Number of tweets that contain Hashtags
10
Percentage of total tweets
0%
Top 5 devices used to tweet
| Source | Count |
|---|---|
| Twitter for iPhone | 2441 |
| Twitter Web App | 788 |
| Substack | 2 |
What devices were used to tweet
Top 10 tweets with highest Retweet count
| ID | Text | Retweet count |
|---|---|---|
| 1568052548862447619 | This is completely insane. https://t.co/3c2MQqhrAn | 7931 |
| 1572039148541775872 | Did they … blur the fire hydrant’s nipples? https://t.co/QxiJfeRKzP | 1900 |
| 1563686763754913792 | 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.” | 1665 |
| 1595122086393303042 | A bar called The Copy Desk where they offer an alternative to your drink order and you get kind of really upset for a second but then realize, no, that's in fact a better order. | 727 |
| 1656425208238989314 | I don’t understand what people do about lunch at work. Either you spend $20 -40 every day eating out (if there’s even an option!), or you spend tons of time making food to bring, or you bring microwave/easy stuff which is 300 calories and then you’re starving an hour later. | 626 |
| 1601948079342911490 | Time to haul out the Bauhaus nativity. https://t.co/waGAxVAfg2 | 395 |
| 1658977974706663426 | Oh my god. https://t.co/Qrlkjd0COO | 315 |
| 1622065558320545794 | If you know you know https://t.co/7f2s8havXL | 208 |
| 1585433197835390978 | I think people have forgotten, or never knew in the first place, how incredible Facebook felt in the 2004-2009 period. You could go on this website and everyone you ever knew—including people you’d definitely lost track of—were right there. The sell was obvious and immediate. | 193 |
| 1658527140650811393 | After some faculty in the program I direct got “100% AI” flags from plagiarism-detection software on student assignments this spring, I decided to dig into the state of AI cheating. What I found was nothing short of total chaos. https://t.co/W9XZRea72f | 182 |
Top 10 tweets with highest Like count
| ID | Text | Like count |
|---|---|---|
| 1568052548862447619 | This is completely insane. https://t.co/3c2MQqhrAn | 83746 |
| 1572039148541775872 | Did they … blur the fire hydrant’s nipples? https://t.co/QxiJfeRKzP | 17867 |
| 1563686763754913792 | 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.” | 17835 |
| 1656425208238989314 | I don’t understand what people do about lunch at work. Either you spend $20 -40 every day eating out (if there’s even an option!), or you spend tons of time making food to bring, or you bring microwave/easy stuff which is 300 calories and then you’re starving an hour later. | 16872 |
| 1585433197835390978 | I think people have forgotten, or never knew in the first place, how incredible Facebook felt in the 2004-2009 period. You could go on this website and everyone you ever knew—including people you’d definitely lost track of—were right there. The sell was obvious and immediate. | 4964 |
| 1568052897425793026 | It’s so much like chicken it almost tastes like chicken, through come kind of inverse synaesthesia. | 4458 |
| 1595122086393303042 | A bar called The Copy Desk where they offer an alternative to your drink order and you get kind of really upset for a second but then realize, no, that's in fact a better order. | 4394 |
| 1622065558320545794 | If you know you know https://t.co/7f2s8havXL | 4278 |
| 1601948079342911490 | Time to haul out the Bauhaus nativity. https://t.co/waGAxVAfg2 | 3994 |
| 1656459366843678720 | @giladrom Yeah well I live in mfing America | 3342 |
Top 3 Languages Used In Tweets
Top 10 Hashtags used
| Hashtag | Count |
|---|---|
| #brands | 3 |
| #onhere | 3 |
| #carobcurse | 1 |
| #1 | 1 |
| #grounded | 1 |
| #atari50 | 1 |
| #content | 1 |
Top 10 Hashtags Used In Tweets
Top 10 mentions
| Hashtag | Count |
|---|---|
| @isanchezprado | 43 |
| @toddbarnard | 35 |
| @dlberes | 30 |
| @dave_parisi | 26 |
| @sevensixfive | 25 |
| @timothyaclark | 22 |
| @theatlantic | 19 |
| @sivavaid | 17 |
| @gameism | 16 |
| @jeffmanuel | 14 |
Top 10 mentions
Wordcloud of Tweets
Emojis used in tweets
| Emoji | Count | Emoji Text |
|---|---|---|
| ⬜ | 18 | white_large_square |
| 🚨 | 17 | police_car_light |
| 🟩 | 12 | green_square |
| ❤️ | 7 | red_heart |
| 🍷 | 3 | wine_glass |
| 🧐 | 3 | face_with_monocle |
| 🚤 | 3 | speedboat |
| 🍔 | 2 | hamburger |
| ™ | 2 | trade_mark |
| 🤔 | 1 | thinking_face |
Emojis groups
| Emoji Group | Count |
|---|---|
| Symbols | 32 |
| Travel & Places | 23 |
| Smileys & Emotion | 12 |
| Food & Drink | 11 |
| Animals & Nature | 2 |
| People & Body | 2 |
| Objects | 1 |
| Activities | 1 |