Tweets Analysis - Keyword: @migga
Overview
Total number of tweets analysed
110
Earliest tweet was on
2023-02-10
Latest tweet was on
2023-02-20
Tweets covering
10 days
Average age of authors' accounts
8 years
Summarization
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.
Topic Modeling
- Data Management/Accessibility
- Presentation of Data
- Vaccine Status Analysis
- Infographic Use
- Base Rate Fallacy
Emotional Analysis
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.
Trend Analysis
- 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
Types of Tweets
Number of Retweets
17
Percentage of total tweets
15%
Number of Original tweets
0
Percentage of total tweets
0%
Number of tweets that contain Mentions
110
Percentage of total tweets
100%
Number of tweets that were Replies
93
Percentage of total tweets
84%
Number of tweets that were Quotes
5
Percentage of total tweets
4%
Number of tweets that contain Hashtags
1
Percentage of total tweets
0%
Top 5 devices used to tweet
| Source | Count |
|---|---|
| Twitter Web App | 45 |
| Twitter for iPhone | 38 |
| Twitter for iPad | 18 |
| Twitter for Android | 9 |
What devices were used to tweet
Top 10 accounts with highest followers count
| 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🦣 @mike_honey_@aus.social | 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:@KarenCutter@aus.social | 6,004 |
Top 10 accounts with highest friends count
| 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 darylgibson@mastodon.social | 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. @watinthe_@mastodon.social | 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 |
Most active users
| Username | Bio | Number of tweets |
|---|---|---|
| KarenCutter4 | Actuary. Australian. Not affiliated with ABS or govt health departments. All views my own. Blocks anti-vaxxers. mastodon:@KarenCutter@aus.social | 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 |
Tweets per day
Top 10 tweets with highest Retweet count
| 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 its over, have dulled our tools of debate. https://t.co/IIxQ3nItoV | 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 @dbRaevn should be using their valuable talents elsewhere. | 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 you could be found in AIR you were designated “unknown”. So the data had zero unvaxxed in hospital and loads of unknowns. The anti-vaxxers overlooked the big number of unknowns. | 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 all of you has informed how I mitigate. So many of my friends have no idea of the extent of Covid, quite unbelieving when I tell them. | 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 with something that looks quite different, and much less of a dogs breakfast | 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 for 2022 and 2023 matched the Fed Health department data. https://t.co/814Nq8tkym | 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 stories of children sent to school with COVID, passing it onto others and back into families again. | 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 analysis. Data shines a light. Incompetence (or worse) hides in darkness. | 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 sharing it). Because the Unknown group doesn't have a defined pop, they used a per-capita rate based on the whole state pop to make it seem irrelevant. https://t.co/gJV6rWvDh1 | 2 |
Top 10 tweets with highest Like count
| 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 @dbRaevn should be using their valuable talents elsewhere. | 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 with something that looks quite different, and much less of a dogs breakfast | 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 you could be found in AIR you were designated “unknown”. So the data had zero unvaxxed in hospital and loads of unknowns. The anti-vaxxers overlooked the big number of unknowns. | 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 its over, have dulled our tools of debate. https://t.co/IIxQ3nItoV | 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 all of you has informed how I mitigate. So many of my friends have no idea of the extent of Covid, quite unbelieving when I tell them. | 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 analysis. Data shines a light. Incompetence (or worse) hides in darkness. | 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 people are dying. It’s protecting my family’s ongoing health status. - how many infections in my local area has been a big one. Stopping mandatory reporting a big blow. | 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 stories of children sent to school with COVID, passing it onto others and back into families again. | 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 sharing it). Because the Unknown group doesn't have a defined pop, they used a per-capita rate based on the whole state pop to make it seem irrelevant. https://t.co/gJV6rWvDh1 | 14 |
Top 3 Languages Used In Tweets
Top 10 Hashtags used
| Hashtag | Count |
|---|---|
| #transparency | 1 |
Top 10 Hashtags Used In Tweets
Top 10 mentions
| Mention | Count |
|---|---|
| @migga | 111 |
| @mike_honey_ | 82 |
| @aparachick | 80 |
| @deadinlongrun | 77 |
| @dbraevn | 75 |
| @mixtupmixy | 69 |
| @mackayim | 66 |
| @karencutter4 | 61 |
| @djf0001 | 52 |
| @johannaszabo1 | 43 |
Top 10 mentions
Wordcloud of Tweets
Emojis
Average number of emojis used per tweet
21
Emojis used in tweets
| 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 |
Emojis groups
| Emoji Group | Count |
|---|---|
| Smileys & Emotion | 19 |
| People & Body | 3 |
| Animals & Nature | 1 |
| Travel & Places | 1 |