Oxford - Tweet Data Analysis
Tweets Analysis - Keyword: Oxford
Published January 10, 2023
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 |
Need Custom Twitter Data Analysis?
Get detailed insights on any keyword, hashtag, or account with twtData.
Get Started