Oxford | Tweet Data Analysis

Overview

Tweets covering

9 days

Latest tweet was on

2023-01-10

Earliest tweet was on

2022-12-31

Total number of tweets analysed

81,914

Average age of authors' accounts

7 years

Types of Tweets

Number of Retweets

12,215

14% of total

Number of Original tweets

29,736

36% of total

Number of tweets that were Quotes

4,008

4% of total

Number of tweets that were Replies

37,397

45% of total

Number of tweets that contain Hashtags

14,894

18% of total

Number of tweets that contain Mentions

52,155

63% of total

Devices Used to Tweet

Top 5 Devices

Source	Count
Twitter for iPhone	25,321
Twitter for Android	22,897
Twitter Web App	20,846
Twitter for iPad	3,088
TweetDeck	1,099

Device Distribution

Top 10 Accounts by Followers

Username	Name	Followers count
Arsenal	Arsenal	20,974,697
detikcom	detikcom	19,779,892
ndtv	NDTV	17,666,628
ManCity	Manchester City	14,854,564
ABPNews	ABP News	13,205,213
SkySportsNews	Sky Sports News	11,998,091
guardian	The Guardian	10,855,758
BBCSport	BBC Sport	10,694,650
TimesNow	TIMES NOW	10,318,107
WIRED	WIRED	10,196,765

Top 10 Accounts by Friends

Username	Name	Followers count
Cooperativa	Cooperativa	650,169
lonelyplanet	Lonely Planet	630,964
jilevin	Jeffrey Levin 🇺🇦	600,588
MisterSalesman	M LeMont	405,812
CFCBlues_com	CFC-Blues	210,329
Naija_PR	Naija	197,220
alhanda	Boogie Underground Media	193,407
Gunnersc0m	Gunners	183,800
AlertTrade	Trade Alerts, Trade Ideas and Crypto 🇺🇸	159,654
Arsenal	Arsenal	145,273

Most Active Users

Username	Number of tweets
latin_oxford	421
Morris_Oxford	268
oxford_guthier	241
oxford_92	206
LalcanSk	177
Sallywe98901725	126
InterestingBuy	125
mouse_love_me	124
ShoppingAlertAU	123
doctor_oxford	119

Tweets Per Day

Top 10 Tweets by Retweets

ID	Text	Retweet count
1609911407830761475	How to เก่งอังกฤษ (2023) ⁃ ท่อง Oxford 5000 ให้ครบ (โดยเฉพาะคำกริยา เพราะมันสามารถกลายเป็น noun หรือ adjective ได้) ⁃ ดูซีรีส์พากย์ไทย ซับอังกฤษ (เพิ่อฝึกสกิลการแปลขั้น advanced คือการแปลแบบล่าม)	40,335
1610036136398700547	Please retweet if you, like me, want to know what exactly @SteveBarclay is doing to address the horrific conditions in the NHS currently 🤷‍♀️	20,191
1609814605278109696	We don’t have enough staff. We don’t have enough beds. We don’t have enough social care. We knew this was coming. The government knew it was coming. And they just …	5,028
1610267855689494534	Spectacular dishonesty from @RishiSunak who clearly doesn’t give a damn about the deaths, misery, overcrowding & horror we must witness in hospitals everywhere. Come & see it for yourself, Prime …	4,281
1609502448661704707	The NHS on New Year’s Day is literally running out of oxygen. We have so many patients in corridors we don’t have enough portable oxygen cylinders. Drs are being asked …	4,239
1611011603398381568	Pls don’t let the govt gaslight you into thinking it’s ‘normal’ for patients to be dying in their droves at home, in ambulances, in corridors, in cupboards. Excess deaths are …	4,237
1609970790564524037	The NHS is in horrific meltdown, people are dying in abject misery in corridors, but don’t worry, the man in charge just tweeted this - his only tweet of the …	3,962
1611448352691953664	350 Million years in a single picture. https://t.co/81ScI55gkm	2,828
1610670222490451970	Today Rishi Sunak told the nation: “No tricks, no ambiguity, we’re either delivering for you or we’re not. We will rebuild trust in politics through action, or not at all." …	2,612
1611087023019810831	No comment necessary. https://t.co/fEBJrd1a1E https://t.co/z8SCm9HKt1	2,446

Top 10 Tweets by Likes

ID	Text	Like count
1609911407830761475	How to เก่งอังกฤษ (2023) ⁃ ท่อง Oxford 5000 ให้ครบ (โดยเฉพาะคำกริยา เพราะมันสามารถกลายเป็น noun หรือ adjective ได้) ⁃ ดูซีรีส์พากย์ไทย ซับอังกฤษ (เพิ่อฝึกสกิลการแปลขั้น advanced คือการแปลแบบล่าม)	42,105
1611448352691953664	350 Million years in a single picture. https://t.co/81ScI55gkm	26,907
1610036136398700547	Please retweet if you, like me, want to know what exactly @SteveBarclay is doing to address the horrific conditions in the NHS currently 🤷‍♀️	22,493
1610862441113743362	💙 Cung dlu yg masa kecilnya dihantuin sama ini. Sender dlu hari" dicekokin ini sama emak, supaya pinter katanya😔☝🏻 Apa kabar yh yg minumnya berhasil habis sebotol? Tembus Oxford jalur …	20,225
1609626953002409984	4/ Oxford University (1096) is older than Machu Picchu (1450), and it's not even close. https://t.co/QRmsIAoPvq	16,222
1609814605278109696	We don’t have enough staff. We don’t have enough beds. We don’t have enough social care. We knew this was coming. The government knew it was coming. And they just …	14,082
1611031463788679168	@elonmusk George Santos should be speaker. He’s a billionaire physician who’s an ex-Navy Seal that graduated top of his class from Harvard and Oxford, has won 18 Olympic gold medals, …	13,618
1611087023019810831	No comment necessary. https://t.co/fEBJrd1a1E https://t.co/z8SCm9HKt1	11,912
1609970790564524037	The NHS is in horrific meltdown, people are dying in abject misery in corridors, but don’t worry, the man in charge just tweeted this - his only tweet of the …	11,630
1611339993724731394	Arsenal's men will wear special all-white kits for their FA Cup match against Oxford and the women will wear all-white training kits for their match against Chelsea as part of …	11,513

Top Languages Used

Top 10 Hashtags

Hashtag	Count
#facup	2,236
#oxford	2,001
#oxfars	1,182
#arsenal	1,034
#afc	849
#oufc	583
#emiratesfacup	465
#coyg	398
#amazon	337
#nhs	283

Top 10 Mentions

Mention	Count
@doctor_oxford	18,865
@stevebarclay	8,430
@jeremy_hunt	6,597
@rishisunak	2,458
@nhsmillion	1,058
@emergencymeddr	996
@nursesayno	994
@drrobgalloway	986
@roshanamn	983
@drmeenalviz	983

Wordcloud of Tweets

Emoji Analysis

Average emojis per tweet:

53

Emojis Used

Emoji	Count	Emoji Text
🔴	3,653	red_circle
🔹	2,235	small_blue_diamond
😂	1,940	face_with_tears_of_joy
⚽	1,419	soccer_ball
🤣	1,154	rolling_on_the_floor_laughing
📺	1,083	television
👇	1,014	backhand_index_pointing_down
👉	778	backhand_index_pointing_right
😭	741	loudly_crying_face
✅	627	check_mark_button

Emoji Groups

Emoji Group	Count
Smileys & Emotion	11,155
Symbols	11,103
People & Body	5,998
Objects	4,657
Activities	3,069
Food & Drink	2,659
Travel & Places	2,568
Flags	1,810
Animals & Nature	515

Oxford - Tweet Data Analysis