Account Summary
Bio
Chief Technology Correspondent for @Axios; former Senior Editor at Recode. Huge softball, hockey, basketball fan. she/her 🏳️⚧️
Followers Count
91,673
Friends Count
7,388
Tweets Count
101,425
List Count
3,891
Location
San Francisco
Verified
No
Followers Analysis (based on followers sample)
Verified
Number of Verified accounts
394
Percentage of Verified accounts
3.94%
Protected
Number of Protected accounts
1,067
Percentage of Protected accounts
10.67%
Age
Average Age of Twitter accounts
8 years
Bios
Number of users without a Bio
2,152
Number of users with a Bio
7,848
Percentage of users with a Bio
78.48%
Percentage of users without a Bio
21.52%
Worldcloud of Bios
Top 10 followers with the highest follower count
Username | Followers Count | Friends Count | Tweet Count |
---|---|---|---|
JohnCena | 14094678 | 586984 | 7473 |
amyklobuchar | 2044870 | 124722 | 16651 |
geoffkeighley | 1505779 | 9042 | 25708 |
SinghLions | 1330450 | 1429688 | 33974 |
MonicaLewinsky | 1205960 | 1483 | 20328 |
djsbu | 1046287 | 13526 | 279078 |
Haqeeqat_TV | 918156 | 9289 | 17358 |
bouska | 837956 | 418997 | 15706 |
khanacademy | 809859 | 657 | 6865 |
NOH8Campaign | 799084 | 358041 | 13973 |
Top 10 followers with the highest following count
Username | Friends Count | Followers Count | Tweet Count |
---|---|---|---|
SinghLions | 1429688 | 1330450 | 33974 |
JohnCena | 586984 | 14094678 | 7473 |
solalexasch | 481445 | 681275 | 3514 |
bouska | 418997 | 837956 | 15706 |
NOH8Campaign | 358041 | 799084 | 13973 |
robtswthrayguns | 284315 | 258008 | 87295 |
RobertBohan | 271285 | 305435 | 172779 |
HerbertRSim | 250913 | 226792 | 29423 |
TheRickyDavila | 193700 | 405248 | 70248 |
shomaristone | 175110 | 230962 | 27939 |
Top 10 followers with the highest tweet count
Username | Tweets Count | Followers Count | Friends Count |
---|---|---|---|
BuzzEdition | 438840 | 55061 | 16283 |
DennisCardiff | 431262 | 151881 | 160308 |
petrasovdat | 398650 | 19130 | 2512 |
taradublinrocks | 393283 | 109118 | 21446 |
BasuAshis | 392446 | 13264 | 14406 |
fbitr | 339743 | 0 | 4995 |
17thCard | 334513 | 2098 | 3478 |
sunkist111 | 332848 | 2876 | 4999 |
burritojustice | 320877 | 58449 | 5227 |
clancynewyork | 312609 | 7047 | 6763 |
Top 10 followers with the highest listed count
Username | Listed Count | Friends Count | Followers Count |
---|---|---|---|
JohnCena | 31628 | 586984 | 14094678 |
Scobleizer | 23096 | 71741 | 457586 |
jeffjarvis | 11120 | 4796 | 175267 |
DrEricDing | 9213 | 12260 | 777091 |
khanacademy | 9056 | 657 | 809859 |
amyklobuchar | 8827 | 124722 | 2044870 |
ipfconline1 | 7656 | 110739 | 132882 |
NOH8Campaign | 7535 | 358041 | 799084 |
profgalloway | 6617 | 1321 | 556896 |
JennyJohnsonHi5 | 6407 | 2207 | 300564 |
Tweets Analysis
Overview
Total number of tweets analysed
3,228
Earliest tweet was on
2022-11-22
Latest tweet was on
2023-05-27
Tweets covering
185 days
Types of Tweets
Number of Retweets
2,583
Percentage of total tweets
80%
Number of Original tweets
645
Percentage of total tweets
19%
Number of tweets that contain Mentions
464
Percentage of total tweets
14%
Number of tweets that were Replies
403
Percentage of total tweets
12%
Number of tweets that were Quotes
537
Percentage of total tweets
16%
Number of tweets that contain Hashtags
56
Percentage of total tweets
1%
Top 5 devices used to tweet
Source | Count |
---|---|
Twitter for iPhone | 3099 |
Twitter Web App | 116 |
Twitter for Mac | 13 |
What devices were used to tweet
Top 10 tweets with highest Retweet count
ID | Text | Retweet count |
---|---|---|
1645288100271390725 | This is why trans adults are fighting for trans kids. We made it & we know lots of people who didn’t. We’ve seen it can be better. We’ve seen how kids can thrive & now people want the next generation to go backward. That’s it. That’s the whole plan. And we won’t stand for it. https://t.co/6SyqTAbduc | 168 |
1646716474189570048 | Every day brings a fresh heartache. Every day my trans and non-binary siblings in some state lose some inalienable right. A fundamental right that was nonetheless put up for debate and vote. A right that they need to be safe, a right that helped them feel more fully themselves. https://t.co/dibTpchtHZ | 150 |
1610393038676983808 | If there is no speaker after four votes they go to penalty kicks. | 92 |
1642022293139333120 | As my final post with a blue check, I send this message of love to all my trans and non-binary siblings and some words of hope for all my fellow human beings on this #TransDayofVisability #TDOV2023 https://t.co/zFKRBgvTRg https://t.co/vm4jhmNSmv | 66 |
1595581300861116416 | Transphobia is so ingrained in their coverage they are literally issuing a clarification that their story wasn’t transphobic because they didn’t have the opportunity. https://t.co/KPkmq0KDy3 | 40 |
1616721322851110913 | Sen. Daniel Thatcher (R) “I know there are a lot of people pushing for this to happen. But the people pushing for it to happen are not those with children it will affect. The people with children this will affect are begging us not to do this." https://t.co/FdtiuRqYjc | 39 |
1649084567444389888 | The #TED2023 talk from @OpenAI’s Greg Brockman is online, featuring some demos of where ChatGPT is headed https://t.co/pOsuUav56T via @TEDTalks | 20 |
1656376960032051200 | Hands on with Google Pixel Fold. https://t.co/H7FUdBdyrO | 20 |
1620482442468675585 | New: OpenAI releases tool to detect machine-written text https://t.co/WQCjis1t1Z | 18 |
1647843806052753408 | This is the balm I need to start the week. https://t.co/V48GpZ6icC | 17 |
Top 10 tweets with highest Like count
ID | Text | Like count |
---|---|---|
1645288100271390725 | This is why trans adults are fighting for trans kids. We made it & we know lots of people who didn’t. We’ve seen it can be better. We’ve seen how kids can thrive & now people want the next generation to go backward. That’s it. That’s the whole plan. And we won’t stand for it. https://t.co/6SyqTAbduc | 920 |
1646716474189570048 | Every day brings a fresh heartache. Every day my trans and non-binary siblings in some state lose some inalienable right. A fundamental right that was nonetheless put up for debate and vote. A right that they need to be safe, a right that helped them feel more fully themselves. https://t.co/dibTpchtHZ | 757 |
1610393038676983808 | If there is no speaker after four votes they go to penalty kicks. | 706 |
1642022293139333120 | As my final post with a blue check, I send this message of love to all my trans and non-binary siblings and some words of hope for all my fellow human beings on this #TransDayofVisability #TDOV2023 https://t.co/zFKRBgvTRg https://t.co/vm4jhmNSmv | 459 |
1656376960032051200 | Hands on with Google Pixel Fold. https://t.co/H7FUdBdyrO | 415 |
1595581300861116416 | Transphobia is so ingrained in their coverage they are literally issuing a clarification that their story wasn’t transphobic because they didn’t have the opportunity. https://t.co/KPkmq0KDy3 | 284 |
1618471111016214529 | And @MonicaLewinsky wins the internet tonight. https://t.co/mher4KaZ8N | 271 |
1634405453458444288 | @glaad I built this last Friday. But the sentiment holds. https://t.co/wUAs95WC6e | 200 |
1595984260959469569 | @jemelehill March 2020 | 177 |
1608311189855178753 | 2.1 million likes and counting… https://t.co/YNm37QpE30 | 163 |
Top 3 Languages Used In Tweets
Top 10 Hashtags used
Hashtag | Count |
---|---|
#gostanford | 12 |
#letters4transkids | 6 |
#glaadawards | 5 |
#ted2023 | 4 |
#axioslogin | 3 |
#cc23 | 3 |
#grammys | 3 |
#wef23 | 3 |
#googleio2023 | 2 |
#may4thbewithyou | 2 |
Top 10 Hashtags Used In Tweets
Top 10 mentions
Hashtag | Count |
---|---|
@axios | 30 |
@stanfordwbb | 23 |
@mikeisaac | 16 |
@marisa_ingemi | 14 |
@endlessjeopardy | 11 |
@fran_belibi1 | 10 |
@howardkushlan | 9 |
@brittneygriner | 8 |
@yoda | 8 |
@zoandbehold | 8 |
Top 10 mentions
Wordcloud of Tweets
Emojis used in tweets
Emoji | Count | Emoji Text |
---|---|---|
💯 | 2 | hundred_points |
❤️ | 1 | red_heart |
😮 | 1 | face_with_open_mouth |
👀 | 1 | eyes |
🎶 | 1 | musical_notes |
🇳🇱 | 1 | Netherlands |
Emojis groups
Emoji Group | Count |
---|---|
Smileys & Emotion | 4 |
People & Body | 1 |
Objects | 1 |
Flags | 1 |