maureenmfarrell - Tweet Data Analysis
Tweets Analysis - Keyword: @maureenmfarrell
Veröffentlicht am 19. April 2023
Übersicht
Tweets covering
2 days
Latest tweet was on
2023-03-30
Earliest tweet was on
2023-03-28
Total number of tweets analysed
4
Average age of authors' accounts
8 years
Tweet-Arten
Number of Retweets
1
25% vom Gesamten
Number of Original tweets
1
25% vom Gesamten
Number of tweets that were Quotes
0
0% vom Gesamten
Number of tweets that were Replies
2
50% vom Gesamten
Number of tweets that contain Hashtags
0
0% vom Gesamten
Number of tweets that contain Mentions
4
100% vom Gesamten
Verwendete Geräte zum Tweeten
Top 5 Geräte
| Source | Count |
|---|---|
| Twitter for iPhone | 2 |
| Twitter for Android | 1 |
| Twitter Web App | 1 |
Geräteverteilung
Top 10 Konten nach Followern
| Username | Name | Bio | Followers count |
|---|---|---|---|
| nyttypos | Typos of the New York Times | I am an appellate lawyer and persnickety dude. As a hobby, I correct typos in the Times, which no longer employs copy editors and consequently has tons of typos | 38.672 |
| FlitterOnFraud | Emily Flitter | @nytimes finance reporter. Florida-born bird nerd. Go Rangers. [email protected]. Author of THE WHITE WALL: https://t.co/cVzAb5nVWK | 21.440 |
| maureenmfarrell | Maureen Farrell | New York Times finance reporter and coauthor of The Cult of We. Formerly WSJ. Send me your tips! Signal: 718-715-5209 | 11.049 |
| jordan_esq | Harold Jordan Esq. | Like Condor, I read everything. | 0 |
Top 10 Konten nach Following
| Username | Name | Bio | Followers count |
|---|---|---|---|
| maureenmfarrell | Maureen Farrell | New York Times finance reporter and coauthor of The Cult of We. Formerly WSJ. Send me your tips! Signal: 718-715-5209 | 1.913 |
| FlitterOnFraud | Emily Flitter | @nytimes finance reporter. Florida-born bird nerd. Go Rangers. [email protected]. Author of THE WHITE WALL: https://t.co/cVzAb5nVWK | 1.898 |
| nyttypos | Typos of the New York Times | I am an appellate lawyer and persnickety dude. As a hobby, I correct typos in the Times, which no longer employs copy editors and consequently has tons of typos | 47 |
| jordan_esq | Harold Jordan Esq. | Like Condor, I read everything. | 24 |
Aktivste Nutzer
| Username | Bio | Number of tweets |
|---|---|---|
| FlitterOnFraud | @nytimes finance reporter. Florida-born bird nerd. Go Rangers. [email protected]. Author of THE WHITE WALL: https://t.co/cVzAb5nVWK | 1 |
| jordan_esq | Like Condor, I read everything. | 1 |
| maureenmfarrell | New York Times finance reporter and coauthor of The Cult of We. Formerly WSJ. Send me your tips! Signal: 718-715-5209 | 1 |
| nyttypos | I am an appellate lawyer and persnickety dude. As a hobby, I correct typos in the Times, which no longer employs copy editors and consequently has tons of typos | 1 |
Tweets pro Tag
Top 10 Tweets nach Retweets
| ID | Text | Retweet count |
|---|---|---|
| 1641479538482851858 | Behind the scenes of “the Jamie and Janet” show, by @realrobcopeland & @maureenmfarrell https://t.co/elhshKcDJ4 | 3 |
| 1641471956007411717 | @nytimes Extra space, no other typos today, @realrobcopeland, @maureenmfarrell https://t.co/2NWOyFmFFx | 0 |
| 1640799842908753927 | @maureenmfarrell The simultaneous withdrawal of large funds deposits from SVB is starting to acquire an odor, like a truck load of fish left out in the sun on a hot … | 0 |
Top 10 Tweets nach Likes
| ID | Text | Like count |
|---|---|---|
| 1641479538482851858 | Behind the scenes of “the Jamie and Janet” show, by @realrobcopeland & @maureenmfarrell https://t.co/elhshKcDJ4 | 9 |
| 1641471956007411717 | @nytimes Extra space, no other typos today, @realrobcopeland, @maureenmfarrell https://t.co/2NWOyFmFFx | 1 |
| 1640799842908753927 | @maureenmfarrell The simultaneous withdrawal of large funds deposits from SVB is starting to acquire an odor, like a truck load of fish left out in the sun on a hot … | 0 |
Top verwendete Sprachen
Top 10 Hashtags
Top 10 Erwaenungen
| Mention | Count |
|---|---|
| @maureenmfarrell | 4 |
| @realrobcopeland | 3 |
| @flitteronfraud | 1 |
| @nytimes | 1 |
Wortwolke der Tweets
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