Account Summary
Bio
Conservative MP for Lewes . Contact via email for constituency queries. Promoted by Maria Caulfield of Unit 6, Villandry, Newhaven BN9 9GB
Followers Count
26,779
Friends Count
5,209
Tweets Count
18,603
List Count
565
Location
Lewes, England
Verified
Yes
Followers Analysis (based on followers sample)
Verified
Number of Verified accounts
1,016
Percentage of Verified accounts
3.83%
Protected
Number of Protected accounts
2,489
Percentage of Protected accounts
9.38%
Age
Average Age of Twitter accounts
8 years
Bios
Number of users without a Bio
6,684
Number of users with a Bio
19,839
Percentage of users with a Bio
74.8%
Percentage of users without a Bio
25.2%
Worldcloud of Bios
Top 10 followers with the highest follower count
| Username | Followers Count | Friends Count | Tweet Count |
|---|---|---|---|
| JohnCena | 14106789 | 566395 | 7435 |
| BorisJohnson | 4773232 | 465 | 6116 |
| verified | 4201257 | 419082 | 2501 |
| ThisisDavina | 2711995 | 1104 | 46811 |
| colortheory | 2154099 | 1467521 | 485 |
| britishmuseum | 2069772 | 46284 | 24184 |
| RishiSunak | 1940065 | 267 | 2723 |
| bbclaurak | 1413381 | 1837 | 48925 |
| SinghLions | 1336508 | 1433330 | 33915 |
| soledadobrien | 1320628 | 422872 | 124544 |
Top 10 followers with the highest following count
| Username | Friends Count | Followers Count | Tweet Count |
|---|---|---|---|
| colortheory | 1467521 | 2154099 | 485 |
| SinghLions | 1433330 | 1336508 | 33915 |
| LeBronJames | 964818 | 1006940 | 3195 |
| Warx2TheMovie | 751814 | 230616 | 33706 |
| TayeDiggs | 658467 | 648957 | 39978 |
| garettnelson | 643250 | 650850 | 11552 |
| TheCooksCook | 591080 | 1140429 | 6049 |
| JohnCena | 566395 | 14106789 | 7435 |
| luxurytravel | 505230 | 719699 | 289683 |
| soledadobrien | 422872 | 1320628 | 124544 |
Top 10 followers with the highest tweet count
| Username | Tweets Count | Followers Count | Friends Count |
|---|---|---|---|
| marshawright | 2231261 | 523007 | 385514 |
| bdnews24 | 1321952 | 223569 | 98642 |
| SupermarketChi | 973269 | 255 | 552 |
| curiocat13 | 927052 | 6696 | 7332 |
| Kilsally | 784463 | 8147 | 8947 |
| Bizitalk | 718817 | 109467 | 64905 |
| Parlez_me_nTory | 581731 | 7412 | 3611 |
| PrincessofWails | 579538 | 8410 | 6645 |
| angelneptustar | 571806 | 18500 | 17394 |
| HouseofTwits | 568639 | 6107 | 867 |
Top 10 followers with the highest listed count
| Username | Listed Count | Friends Count | Followers Count |
|---|---|---|---|
| JohnCena | 31711 | 566395 | 14106789 |
| britishmuseum | 14178 | 46284 | 2069772 |
| PleasureEllis | 13405 | 408922 | 686350 |
| marshawright | 11267 | 385514 | 523007 |
| BorisJohnson | 10857 | 465 | 4773232 |
| soledadobrien | 10587 | 422872 | 1320628 |
| paul_steele | 9888 | 157517 | 648179 |
| bbclaurak | 9620 | 1837 | 1413381 |
| verified | 9146 | 419082 | 4201257 |
| luxurytravel | 8901 | 505230 | 719699 |
Tweets Analysis
Overview
Total number of tweets analysed
3,241
Earliest tweet was on
2019-09-22
Latest tweet was on
2021-11-08
Tweets covering
777 days
Types of Tweets
Number of Retweets
992
Percentage of total tweets
30%
Number of Original tweets
2,249
Percentage of total tweets
69%
Number of tweets that contain Mentions
1,885
Percentage of total tweets
58%
Number of tweets that were Replies
1,467
Percentage of total tweets
45%
Number of tweets that were Quotes
369
Percentage of total tweets
11%
Number of tweets that contain Hashtags
251
Percentage of total tweets
7%
Top 5 devices used to tweet
| Source | Count |
|---|---|
| Twitter for iPhone | 3194 |
| Twitter for iPad | 46 |
| Twitter Web App | 1 |
What devices were used to tweet
Top 10 tweets with highest Retweet count
| ID | Text | Retweet count |
|---|---|---|
| 1251978611730628615 | Just finished latest shift at hospital . Nose and ears sore from wearing masks for last 48hrs but not complaining as despite media reports we have plenty of PPE. Love being back working in #NHS @MattHancock #StayHomeSaveLives https://t.co/kmhYvVBqbC | 3463 |
| 1301036654212386817 | Very surprised, that Labour did not take part in the vote on reclaiming our UK fishing waters last night. Do they not support our fishing industry? Only two Lib Dem’s voted in support and of course the SNP voted against. Media silence. #fishingbill #takingbackcontrol 🐠 🐠 🐠 | 3081 |
| 1177246605445124098 | Last week I had my car tyres damaged with nails and screws for the second time. No one cares because I’m a leaver and apparently deserve it. Abuse of MPs and death threats were happening long before yesterday | 2648 |
| 1240901688208371712 | I will be returning to the front line in the NHS to support the fight against the Coronavirus , important we all help where we can @MattHancock https://t.co/39UFerXpkA | 1343 |
| 1300930921600880646 | Busy late night in the Commons as we voted through the Fishing bill to reclaim our waters . This will help regenerate the fishing industry in towns like Newhaven . Some exciting news for the town coming soon! 🐠 🐠 🐠 | 694 |
| 1188165085677719552 | Those who wanted to avoid no deal should have voted for the deal instead of playing politics with Brexit. https://t.co/cfgoIKr9LS | 501 |
| 1255443685191430144 | I think the word Laura and Beth are looking for is “congratulations” 🙄 https://t.co/jpVbwD1xQA | 489 |
| 1252698596484485123 | To all the social media trolls who seem to have gone into overdrive today because I’m a nurse who dares to be a Conservative MP ....... https://t.co/TQajxkT4YE | 423 |
| 1188162282292940800 | This is why Jezza is scared of a General Election. @BorisJohnson is doing a fantastic job and the voters are fed up with the games being played by the opposition #GetBrexitDone https://t.co/eJfqRR5k9l | 320 |
| 1269330706863357956 | Terrible scenes from Westminster this evening. Our police run towards danger when the rest of us flee. I owe the police so much over recent weeks and they do not deserve to be attacked like this. This violence will solve nothing | 300 |
Top 10 tweets with highest Like count
| ID | Text | Like count |
|---|---|---|
| 1251978611730628615 | Just finished latest shift at hospital . Nose and ears sore from wearing masks for last 48hrs but not complaining as despite media reports we have plenty of PPE. Love being back working in #NHS @MattHancock #StayHomeSaveLives https://t.co/kmhYvVBqbC | 15062 |
| 1240901688208371712 | I will be returning to the front line in the NHS to support the fight against the Coronavirus , important we all help where we can @MattHancock https://t.co/39UFerXpkA | 10828 |
| 1177246605445124098 | Last week I had my car tyres damaged with nails and screws for the second time. No one cares because I’m a leaver and apparently deserve it. Abuse of MPs and death threats were happening long before yesterday | 7880 |
| 1301036654212386817 | Very surprised, that Labour did not take part in the vote on reclaiming our UK fishing waters last night. Do they not support our fishing industry? Only two Lib Dem’s voted in support and of course the SNP voted against. Media silence. #fishingbill #takingbackcontrol 🐠 🐠 🐠 | 7764 |
| 1247246176036032516 | Come on boss we need you back , you can do this . Praying tonight for @BorisJohnson 🙏 | 4397 |
| 1300930921600880646 | Busy late night in the Commons as we voted through the Fishing bill to reclaim our waters . This will help regenerate the fishing industry in towns like Newhaven . Some exciting news for the town coming soon! 🐠 🐠 🐠 | 3803 |
| 1255443685191430144 | I think the word Laura and Beth are looking for is “congratulations” 🙄 https://t.co/jpVbwD1xQA | 3771 |
| 1252698596484485123 | To all the social media trolls who seem to have gone into overdrive today because I’m a nurse who dares to be a Conservative MP ....... https://t.co/TQajxkT4YE | 3162 |
| 1188165085677719552 | Those who wanted to avoid no deal should have voted for the deal instead of playing politics with Brexit. https://t.co/cfgoIKr9LS | 2740 |
| 1269330706863357956 | Terrible scenes from Westminster this evening. Our police run towards danger when the rest of us flee. I owe the police so much over recent weeks and they do not deserve to be attacked like this. This violence will solve nothing | 1918 |
Top 3 Languages Used In Tweets
Top 10 Hashtags used
| Hashtag | Count |
|---|---|
| #facup | 10 |
| #stayhomesavelives | 9 |
| #getbrexitdone | 8 |
| #coronavirus | 8 |
| #euro2020 | 6 |
| #budget2021 | 5 |
| #hereforculture | 5 |
| #nhs | 5 |
| #toxic | 4 |
| #usopen | 4 |
Top 10 Hashtags Used In Tweets
Top 10 mentions
| Hashtag | Count |
|---|---|
| @borisjohnson | 84 |
| @patricktheart | 64 |
| @conservatives | 63 |
| @matthancock | 42 |
| @lilbeeloo67 | 37 |
| @jamesmaccleary | 32 |
| @jenny_loveslife | 26 |
| @zoenicholson4 | 26 |
| @mimsdavies | 23 |
| @eastsussexcc | 22 |
Top 10 mentions
Wordcloud of Tweets
Emojis used in tweets
| Emoji | Count | Emoji Text |
|---|---|---|
| 👇 | 54 | backhand_index_pointing_down |
| 😂 | 22 | face_with_tears_of_joy |
| 🙄 | 13 | face_with_rolling_eyes |
| 🚨 | 12 | police_car_light |
| ✅ | 12 | check_mark_button |
| 🤣 | 11 | rolling_on_the_floor_laughing |
| 👏 | 9 | clapping_hands |
| 🇬🇧 | 9 | United_Kingdom |
| 🐠 | 9 | tropical_fish |
| 🤦♀️ | 9 | woman_facepalming |
Emojis groups
| Emoji Group | Count |
|---|---|
| People & Body | 97 |
| Smileys & Emotion | 80 |
| Travel & Places | 42 |
| Animals & Nature | 35 |
| Symbols | 25 |
| Flags | 15 |
| Activities | 12 |
| Objects | 12 |
| Food & Drink | 8 |