migga - Tweet Data Analysis
Tweets Analysis - Keyword: @migga
2023年3月9日に公開
概要
Tweets covering
10 days
Latest tweet was on
2023-02-20
Earliest tweet was on
2023-02-10
Total number of tweets analysed
110
Average age of authors' accounts
8 years
要約
Volunteers have been providing user-friendly databases with information regarding Covid-19, such as covidlive, covidbaseau, and more. It has been suggested that such databases should be made public, with equitable analysis of this data. Additionally, government transparency, particularly when it comes to presenting data in an easily accessible format, has been called into question. Volunteers have provided useful summary statistics, but this need should be filled by government in the future. The Base Rate Fallacy, whereby the use of information or data ignores the base rate of the whole population, has been highlighted as particularly dangerous.
トピックモデリング
- Data Management/Accessibility
- Presentation of Data
- Vaccine Status Analysis
- Infographic Use
- Base Rate Fallacy
感情分析
The emotions expressed in these tweets range from admiration and appreciation for the work of those compiling data on Covid-19 to frustration and anger at the lack of data transparency and utility. There is a sense of urgency in the need for reliable and accessible data, as well as a feeling of disappointment in the way governments have handled the situation. There is also a sense of determination and resilience, as those working on data solutions continue to strive to make information more accessible and understandable.
トレンド分析
- Covid-19 related data, trends and statistics
- User-friendly and accessible databases
- Incomplete data sets and data inaccuracies
- Data misuse and misinterpretation
- Transparency and independent data presentation
免責事項：twtdata.comのテキスト分析はOpenAIを使用しており、twtdata.comまたはその関連会社の見解を代表するものではありません。分析は情報提供のみを目的としており、いかなる見解の支持でもありません。
ツイートの種類
Number of Retweets
17
全体の15%
Number of Original tweets
0
全体の0%
Number of tweets that were Quotes
5
全体の4%
Number of tweets that were Replies
93
全体の84%
Number of tweets that contain Hashtags
1
全体の0%
Number of tweets that contain Mentions
110
全体の100%
ツイートに使用されたデバイス
トップ5デバイス
| Source | Count |
|---|---|
| Twitter Web App | 45 |
| Twitter for iPhone | 38 |
| Twitter for iPad | 18 |
| Twitter for Android | 9 |
デバイス分布
フォロワー数上位10アカウント
| Username | Name | Bio | Followers count |
|---|---|---|---|
| MackayIM | ɪᴀɴ ᴍ. ᴍᴀᴄᴋᴀʏ, ᴘʜᴅ 🦠🤧🧬🥼🦟🧀 | virologist. husband. dad. reader. writer. fixer. bad typist. learner. in no order. opinions mine alone. Also here-https://t.co/KMyCSWJNku | 123,658 |
| melissahoyer | Melissa Hoyer | Contributing lifestyle, travel, news, pop culture commentator. Lecturer. Editor. MC. Consultant. 📺🎙👩🏼💻Mumma to son & dog. https://t.co/FTKGBRIWqe | 61,700 |
| drkatraphael | Rev Dr Kathleen Raphael DD LPN | Don't hurt humans or animals. Let's live together & pool resources. #DisabilitiesHappen #NoViolence 🌿 LonelyNoMore 🌱 #Resist 🌊 #YoureGonnaGetOldToo ❤#Love❤ | 27,415 |
| dbRaevn | dbRaevn | Covid cartographer | 15,084 |
| CollignonPeter | Peter Collignon | Infectious Diseases Physician and Microbiologist. Professor Medical School. Australian National University. Views are my own. | 13,688 |
| Mike_Honey_ | Mike Honey | Data Visualisation and Data Integration specialist - Melbourne, Australia🦣 https://t.co/hTTQENXZ3m🦣 @[email protected] | 12,182 |
| BigBadDenis | Denis - The COVID info guy - | Sharing info on COVID since the start of the pandemic. #PandemicIsNotOver 💻 IT Systems Administrator 💪 GYMaHolic | 8,757 |
| ACTINOSProject | David Caldicott | Urgentiste / Disasterologist / Dissident. Handyman to the Human Body. Anti-Viral Agent. Bad typist. Twitter is to keep notes. All opinions are your own. | 8,048 |
| DougalBeatty | Dougal Beatty | Reporter for @9newsmelb | Instagram: dougalbeatty | 6,179 |
| KarenCutter4 | Karen Cutter | Actuary. Australian. Not affiliated with ABS or govt health departments. All views my own. Blocks anti-vaxxers. mastodon:@[email protected] | 6,004 |
フォロー数上位10アカウント
| Username | Name | Bio | Followers count |
|---|---|---|---|
| drkatraphael | Rev Dr Kathleen Raphael DD LPN | Don't hurt humans or animals. Let's live together & pool resources. #DisabilitiesHappen #NoViolence 🌿 LonelyNoMore 🌱 #Resist 🌊 #YoureGonnaGetOldToo ❤#Love❤ | 28,892 |
| darylgibson | Blue-tongue [email protected] | Dosimetry Physics MSc USyd SydneyRadiological Health Physics BSc UMass LowellI hope daz eventually gets covid, it's mild, he realises it's not a problem | 6,366 |
| PivaLasVegas | Laur 🍊 | I can play 'Orange crush' by REM and 'O Valencia' by The Decemberists...and anything by Pulp (although not everyone's a fan). 🏎 & 🍷🥂&😻&♥️🤍🖤&👨👩👧👦 | 4,998 |
| verbatorium | Verbatorium 😷💉❎4️⃣ | Politics, Climate Change, Biodiversity. Anti-SARS-CoV-2 Also @mastodon.au #CovidIsAirborne #VaccinesPLUS #WearAMask #Yes23 He/Him. | 4,998 |
| MackayIM | ɪᴀɴ ᴍ. ᴍᴀᴄᴋᴀʏ, ᴘʜᴅ 🦠🤧🧬🥼🦟🧀 | virologist. husband. dad. reader. writer. fixer. bad typist. learner. in no order. opinions mine alone. Also here-https://t.co/KMyCSWJNku | 4,834 |
| Boris4T | Aussie Warpath | Is it possible to wake them up? I don't know... but I am trying to.Come join me :) Infowars fan from Australia. | 4,817 |
| aparachick | Aparachick 😷 | IF YOU DON’T GET COVID, YOU CANT SPREAD COVID.😷💉🚪🪟🌬 You don’t need to abuse someone to make a point. Civility please. Please retweet me, not quote tweet | 4,800 |
| watinthe_ | SewerRatSam 💉💉💉💉 | Politics, human rights, social justice. Passionately supports young people’s creative voice. #VaccinePlus #CleanAir Views my own. @[email protected] | 3,516 |
| TaylorS11264605 | TaylorSummers MASKS WORK 4 ALL Variants! | - | 3,456 |
| ACTINOSProject | David Caldicott | Urgentiste / Disasterologist / Dissident. Handyman to the Human Body. Anti-Viral Agent. Bad typist. Twitter is to keep notes. All opinions are your own. | 2,587 |
最もアクティブなユーザー
| Username | Bio | Number of tweets |
|---|---|---|
| KarenCutter4 | Actuary. Australian. Not affiliated with ABS or govt health departments. All views my own. Blocks anti-vaxxers. mastodon:@[email protected] | 18 |
| dbRaevn | Covid cartographer | 10 |
| MixtUpMixy | Jungle/DnB DJ #Sapiosexual #AlwaysWasAlwaysWillBe #LoveIsLove 🏳️⚧️ 🏳️🌈 Only the meek get pinched, the bold survive. i’m at mixtupmixy at aus dot social | 8 |
| RichardfromSyd1 | An IT nerd adrift on the waves of Twitter | 6 |
| MackayIM | virologist. husband. dad. reader. writer. fixer. bad typist. learner. in no order. opinions mine alone. Also here-https://t.co/KMyCSWJNku | 6 |
| darylgibson | Dosimetry Physics MSc USyd SydneyRadiological Health Physics BSc UMass LowellI hope daz eventually gets covid, it's mild, he realises it's not a problem | 4 |
| aparachick | IF YOU DON’T GET COVID, YOU CANT SPREAD COVID.😷💉🚪🪟🌬 You don’t need to abuse someone to make a point. Civility please. Please retweet me, not quote tweet | 4 |
| Adzyreturns | I shall finish the game | 4 |
| djf0001 | /SnNot at Mast a don: Not at ttr at aus dot social | 4 |
| kazza264 | 2020 the year where both your first and last name are poison | 3 |
日別ツイート数
リツイート数上位10ツイート
| ID | Text | Retweet count |
|---|---|---|
| 1627569945600221190 | @KarenCutter4 @djf0001 @JohannaSzabo1 @dbRaevn @MackayIM @DeadInLongRun @Mike_Honey_ @aparachick @migga I have this handy infographic I post to everyone with that question 😄 https://t.co/F9FqIDJz5Q | 13 |
| 1627578527976685569 | @JohannaSzabo1 @KarenCutter4 @djf0001 @dbRaevn @MackayIM @DeadInLongRun @Mike_Honey_ @aparachick @migga How about this one? 😇Similar point, different subject.I get what you’re saying though. Our own govt, in their haste to pretend … | 7 |
| 1627414887193530368 | @MackayIM @dbRaevn @MixtUpMixy @DeadInLongRun @Mike_Honey_ @aparachick And all of it should be compiled in a user-friendly database covering all of Australia. Sites like covidlive shouldn’t need to exist. @migga and … | 6 |
| 1627527903822086145 | @dbRaevn @JohannaSzabo1 @MackayIM @djf0001 @MixtUpMixy @DeadInLongRun @Mike_Honey_ @aparachick @migga The NSW data was worse than that. The process used to determine vax status was to match to AIR. And if … | 3 |
| 1627416450066714624 | @KarenCutter4 @MackayIM @dbRaevn @MixtUpMixy @DeadInLongRun @Mike_Honey_ @migga And @covidbaseau and a few other websites. But thank heavens for all of you. Getting this info in an easily digested form from … | 3 |
| 1627419384913489920 | @MackayIM @dbRaevn @MixtUpMixy @DeadInLongRun @Mike_Honey_ @aparachick @migga If you were starting with a blank piece of paper and asked “what will the public want to know?” you would end up … | 3 |
| 1626427330448199681 | Yesterday Prof Kelly said there were 18,190 covid deaths across the pandemic, which looked low relative to the total of state reporting of 19,070 (from covidlive thanks @migga). His figures … | 2 |
| 1626356255832027138 | @frilly_edges I wonder if our data people @Mike_Honey_ , @dbRaevn or @migga have any opinions on the data Ms Russell has provided above? Anecdotally on here we see so many … | 2 |
| 1627448348943978496 | @KarenCutter4 @MackayIM @dbRaevn @MixtUpMixy @DeadInLongRun @Mike_Honey_ @aparachick @migga Unless there is a very *very* good reason, all data should be public (to the max extent privacy allows), allowing equitable independant … | 2 |
| 1627539261066190848 | @KarenCutter4 @JohannaSzabo1 @MackayIM @djf0001 @MixtUpMixy @DeadInLongRun @Mike_Honey_ @aparachick @migga Here's an example of this being used to mislead that takes it even further (I've blocked out the source to avoid … | 2 |
いいね数上位10ツイート
| ID | Text | Like count |
|---|---|---|
| 1627414887193530368 | @MackayIM @dbRaevn @MixtUpMixy @DeadInLongRun @Mike_Honey_ @aparachick And all of it should be compiled in a user-friendly database covering all of Australia. Sites like covidlive shouldn’t need to exist. @migga and … | 51 |
| 1627569945600221190 | @KarenCutter4 @djf0001 @JohannaSzabo1 @dbRaevn @MackayIM @DeadInLongRun @Mike_Honey_ @aparachick @migga I have this handy infographic I post to everyone with that question 😄 https://t.co/F9FqIDJz5Q | 39 |
| 1627419384913489920 | @MackayIM @dbRaevn @MixtUpMixy @DeadInLongRun @Mike_Honey_ @aparachick @migga If you were starting with a blank piece of paper and asked “what will the public want to know?” you would end up … | 27 |
| 1627527903822086145 | @dbRaevn @JohannaSzabo1 @MackayIM @djf0001 @MixtUpMixy @DeadInLongRun @Mike_Honey_ @aparachick @migga The NSW data was worse than that. The process used to determine vax status was to match to AIR. And if … | 23 |
| 1627578527976685569 | @JohannaSzabo1 @KarenCutter4 @djf0001 @dbRaevn @MackayIM @DeadInLongRun @Mike_Honey_ @aparachick @migga How about this one? 😇Similar point, different subject.I get what you’re saying though. Our own govt, in their haste to pretend … | 21 |
| 1627416450066714624 | @KarenCutter4 @MackayIM @dbRaevn @MixtUpMixy @DeadInLongRun @Mike_Honey_ @migga And @covidbaseau and a few other websites. But thank heavens for all of you. Getting this info in an easily digested form from … | 20 |
| 1627448348943978496 | @KarenCutter4 @MackayIM @dbRaevn @MixtUpMixy @DeadInLongRun @Mike_Honey_ @aparachick @migga Unless there is a very *very* good reason, all data should be public (to the max extent privacy allows), allowing equitable independant … | 17 |
| 1627460617954295808 | @KarenCutter4 @MackayIM @dbRaevn @MixtUpMixy @DeadInLongRun @Mike_Honey_ @migga For me it’s been wanting info to assess how safe it is to be out and about. It’s not about obsessing how many … | 17 |
| 1626356255832027138 | @frilly_edges I wonder if our data people @Mike_Honey_ , @dbRaevn or @migga have any opinions on the data Ms Russell has provided above? Anecdotally on here we see so many … | 14 |
| 1627539261066190848 | @KarenCutter4 @JohannaSzabo1 @MackayIM @djf0001 @MixtUpMixy @DeadInLongRun @Mike_Honey_ @aparachick @migga Here's an example of this being used to mislead that takes it even further (I've blocked out the source to avoid … | 14 |
使用されている上位言語
トップ10ハッシュタグ
| Hashtag | Count |
|---|---|
| #transparency | 1 |
トップ10メンション
| Mention | Count |
|---|---|
| @migga | 111 |
| @mike_honey_ | 82 |
| @aparachick | 80 |
| @deadinlongrun | 77 |
| @dbraevn | 75 |
| @mixtupmixy | 69 |
| @mackayim | 66 |
| @karencutter4 | 61 |
| @djf0001 | 52 |
| @johannaszabo1 | 43 |
ツイートのワードクラウド
絵文字分析
ツイートあたりの平均絵文字数:
21
使用された絵文字
| Emoji | Count | Emoji Text |
|---|---|---|
| 😄 | 2 | grinning_face_with_smiling_eyes |
| 😇 | 2 | smiling_face_with_halo |
| 💯 | 2 | hundred_points |
| 👍 | 2 | thumbs_up |
| 🤡 | 2 | clown_face |
| 😉 | 2 | winking_face |
| 😂 | 2 | face_with_tears_of_joy |
| 😘 | 1 | face_blowing_a_kiss |
| 🤔 | 1 | thinking_face |
| 🤷🏻♀️ | 1 | woman_shrugging_light_skin_tone |
絵文字グループ
| Emoji Group | Count |
|---|---|
| Smileys & Emotion | 19 |
| People & Body | 3 |
| Animals & Nature | 1 |
| Travel & Places | 1 |
カスタムTwitterデータ分析が必要ですか？
twtDataで任意のキーワード、ハッシュタグ、アカウントの詳細なインサイトを取得しましょう。
始めましょう