FacesOfCOVID - Tweet Data Analysis
Tweets Analysis - Keyword: @FacesOfCOVID
Veröffentlicht am 8. März 2023
Übersicht
Tweets covering
10 days
Latest tweet was on
2023-02-22
Earliest tweet was on
2023-02-12
Total number of tweets analysed
229
Average age of authors' accounts
9 years
Zusammenfassung
This conversation focuses on the American citizens who have lost their lives to COVID-19, discussing how doctors were given one-size-fits-all treatment, people were scared to go to the hospital, and people were forced to get the shot or risk losing their jobs. Additionally, there is a discussion of those who have been affected by the virus, including the loved ones of individuals who have passed due to the virus or acquired HAI. Lastly, it is noted that majority of those affected were not vaccinated.
Themenmodellierung
- Medical Treatment and Care - Doctors, Treatment, Risk, Contraindicated, Ventilators, Vaccines, Excess Deaths, Infections
- Death and Loss - Death, Americans Lost, Grief, Memory, Condolences
- Immunity and Infection - Immunity, Natural Immunity, Vaccines, Catching the Virus
- Media Coverage and Misinformation - Segment, Mass Deaths, Media, Scientists
- Miscellaneous - Wine, Pets, Husband, Fear
Emotionsanalyse
The emotions expressed in these tweets range from sadness and grief over the loss of life due to COVID-19, to anger and frustration over the mismanagement of the pandemic and the lack of scientific understanding. There is also a sense of disbelief and confusion over the misinformation and politicization of the virus, and a strong sense of compassion for those who have lost loved ones to the virus.
Trendanalyse
- The death and impact of COVID-19
- The limitations of one-size-fits-all treatment for affected individuals
- The influx of vaccinations both in compliance and of free will
- Vaccine effectiveness in preventing COVID-19
- Grief/Mourning of those affected by COVID-19
Haftungsausschluss: Die Textanalyse auf twtdata.com, unterstützt durch OpenAI, stellt nicht die Ansichten von twtdata.com oder seinen verbundenen Unternehmen dar. Die Analyse dient nur zu Informationszwecken und ist keine Bestätigung einer Meinung.
Tweet-Arten
Number of Retweets
32
13% vom Gesamten
Number of Original tweets
4
1% vom Gesamten
Number of tweets that were Quotes
8
3% vom Gesamten
Number of tweets that were Replies
191
83% vom Gesamten
Number of tweets that contain Hashtags
9
3% vom Gesamten
Number of tweets that contain Mentions
229
100% vom Gesamten
Verwendete Geräte zum Tweeten
Top 5 Geräte
| Source | Count |
|---|---|
| Twitter for iPhone | 103 |
| Twitter Web App | 74 |
| Twitter for Android | 42 |
| Twitter for iPad | 10 |
Geräteverteilung
Top 10 Konten nach Followern
| Username | Name | Bio | Followers count |
|---|---|---|---|
| RonJFlemming | HEARTBEATS | WORLD-RENOWNED AUTHOR And HUMANITARIAN | 7.135 |
| DeeFonta | 🏳️🌈🏳️⚧️Dee F #SlavaUkraini!🇺🇸🇺🇦 | #LGBTQIA 🏳️🌈 🏳️⚧️ #SuicidePrevention #DID #FuckTheNRA #SaveMotherEarth #MyBodyMyChoice #Vaxxed #BoosterShot 🌻 #StandWithUkraine 🇺🇦 #MentalHealthRights | 6.655 |
| kchernecky | Kim Chernecky | 💔HUMANITARIAN #NeverForgetJan6 I said Somebody should do something about that. Then I realized I am somebody. #BanAssaultWeapons #WearaMask #VoteBlue | 6.618 |
| HomemadeMonster | Patricia A Has No Problem Waking Up 🇺🇸 | Anti-Fascist/ Wakes up every day! #BlackLivesMatter #EarthSense #GunSense #Pride 🌈 Blocks Trolls Check Voter Registration Status → https://t.co/XXbQju1wYW | 6.302 |
| grimalkinrn | Annie Jo | Queer RN. They/Them. I will talk shit about you on the internet #blacklivesmatter | 5.086 |
| bronxmami1970 | Bronxmami1970 | "Facts are stubborn things, but statistics are pliable" -Samuel Langhorne Clemens | 2.647 |
| annielicious14 | Annie | French Trained Chef! Cooking is my passion, my life. I love reading, sports, and Movies! | 2.412 |
| sammy_rufared | Sammy | I am a black cat who lives with human( 2 legs ) and my adopted sister Daisy who is a Tuxedo Cat ❣️ | 2.049 |
| tweetannylee | tanny lee | A lady at the Won't Put Up With Any Nonsense stage of life. | 2.032 |
| TorontoViewer | ..ღ..Midtown Toronto Pedestrian™ ..ღ.. | In CANADA. Gardener. PEC & Kirkcaldy roots. Avid reader. Frequent Travellr to HK,BKK,SIN,JPN preCOV. VxXxXd. Mask wearer. Atheist. Overeduc8d & Underopinion8d. | 1.906 |
Top 10 Konten nach Following
| Username | Name | Bio | Followers count |
|---|---|---|---|
| kchernecky | Kim Chernecky | 💔HUMANITARIAN #NeverForgetJan6 I said Somebody should do something about that. Then I realized I am somebody. #BanAssaultWeapons #WearaMask #VoteBlue | 7.190 |
| RonJFlemming | HEARTBEATS | WORLD-RENOWNED AUTHOR And HUMANITARIAN | 7.137 |
| DeeFonta | 🏳️🌈🏳️⚧️Dee F #SlavaUkraini!🇺🇸🇺🇦 | #LGBTQIA 🏳️🌈 🏳️⚧️ #SuicidePrevention #DID #FuckTheNRA #SaveMotherEarth #MyBodyMyChoice #Vaxxed #BoosterShot 🌻 #StandWithUkraine 🇺🇦 #MentalHealthRights | 7.066 |
| HomemadeMonster | Patricia A Has No Problem Waking Up 🇺🇸 | Anti-Fascist/ Wakes up every day! #BlackLivesMatter #EarthSense #GunSense #Pride 🌈 Blocks Trolls Check Voter Registration Status → https://t.co/XXbQju1wYW | 6.221 |
| mutaasah1 | Mutaasa Humphrey-Insights | Agribiz Devt Expert | CTA @ The Grain Council of Ug | MD @Agripointglobal | National Chair of #MSMEForumug | #bigdata aficionado |#Strategist | @Mindset changer | 5.002 |
| pop_popculture | #MaskForFucksSake #CovidIsAirborne #CareCantWait | - | 5.001 |
| goof_yo | Andrew 🇲🇽 | Mexican American 🇲🇽,From the 209, Pro Wrestling, comic nerd, gamer, Funko and Wrestling Collector,#blacklivesmatter #SacramentoProud, #AEW | 4.988 |
| Cailinspeir | Sunflower 🌻 | there is a light somewhere. it may not be much light but it beats the darkness. Charles Bukowski | 4.940 |
| annielicious14 | Annie | French Trained Chef! Cooking is my passion, my life. I love reading, sports, and Movies! | 4.928 |
| 1PrtculrHarbour | One Particular Harbour | 💥SCAMS: Covid, Climate Change, Vax, J6💥 🇺🇸 Time for JUSTICE 🇺🇸#Patriot5percent #TakeBackAmerica | 4.885 |
Aktivste Nutzer
| Username | Bio | Number of tweets |
|---|---|---|
| animal_lover365 | I will show Biden the same level of respect Jim Acosta shows Trump.Independent | 33 |
| kchernecky | 💔HUMANITARIAN #NeverForgetJan6 I said Somebody should do something about that. Then I realized I am somebody. #BanAssaultWeapons #WearaMask #VoteBlue | 15 |
| popo88mitch | - | 9 |
| ArkaciaVentures | Sites: https://t.co/YSyO0vreP3, https://t.co/2flgmAQaOO, https://t.co/75toMrPJQPContact Us: https://t.co/lK2xQMe7Bh | 8 |
| WorldEmbassador | A seasoned world traveler. | 6 |
| MiskelWilliam | My real passion's my hobby...I work with democrats. | 4 |
| Psycatholic | only me | 4 |
| Ruthaloo | Music Education, Theory, Composition, Catholicism, Entertainment business/management. Member of The Murmurs Venegas Music Services | 4 |
| CEVIC2270 | There is no beauty without some strangeness | 4 |
| HWilliamson612 | I have no followers but I identify as a high follower account. If you are reading this then you are probably a ¢#nt who is about to report me. I/me/mine | 3 |
Tweets pro Tag
Top 10 Tweets nach Retweets
| ID | Text | Retweet count |
|---|---|---|
| 1626448416854220801 | Does @npratc @NPR @WNYC still do the #facesofcovid segment where they highlight one person who passed of COVID? Ppl are still dying daily #massdeaths #CovidIsNotOver @MarkedByCovid @FacesOfCOVID https://t.co/0lWagVFqy9 | 2 |
| 1627501809513246722 | @ChuckCallesto But you have to get sick first in order to achieve it. Not everyone is so lucky to survive. Some of the wonderful fellow Americans we lost who did … | 1 |
| 1628220142969671680 | @animal_lover365 @ChuckCallesto @FacesOfCOVID That’s why they needed to focus on therapeutics rather than pissing away time, money & energy on shots that do nothing but more harm. | 0 |
| 1627535535169503232 | @animal_lover365 @popo88mitch @ChuckCallesto @FacesOfCOVID @SusanSchutte2 The vaccine is approximately 30% effective after 3 weeks. You’re going to get it either way. You risked unnecessary side effects for 3 weeks of … | 0 |
| 1627601986680922112 | @animal_lover365 @ChuckCallesto @FacesOfCOVID True. And if you were not obese, very old, sedentary or had underlying health issues you would have been fine. Vit D deficiency as well. That’s nature. … | 0 |
| 1627579271878266887 | @DeLaughte8 @ChuckCallesto @FacesOfCOVID We have. The excess deaths skyrocketed in 2020 and line up with covid death totals. | 0 |
| 1627575547642642432 | @animal_lover365 @ChuckCallesto @FacesOfCOVID I have natural immunity it’s been 16 months, I have seen many injured & 2 deaths from the vax. There is no end to the # of … | 0 |
| 1627575273544904705 | @animal_lover365 @ChuckCallesto @FacesOfCOVID If the doctors would have been allowed to treat patients correctly, many would have survived. They were forced to do one-size-fits-all care. And, that care plan was … | 0 |
| 1627558060993413120 | @DeLaughte8 @ChuckCallesto @FacesOfCOVID Even with that stat, we've lost over a million Americans. Catching a virus to get immunity from the virus has its risk. Further, catching virus doesn't mean … | 0 |
| 1627555715953971201 | @RealTiggerWood1 @ChuckCallesto @FacesOfCOVID Look at the annual flu deaths in the US over the last 10 years. The worst year for deaths (2017-2018 season) had 52,000 deaths total. Total covid … | 0 |
Top 10 Tweets nach Likes
| ID | Text | Like count |
|---|---|---|
| 1627501809513246722 | @ChuckCallesto But you have to get sick first in order to achieve it. Not everyone is so lucky to survive. Some of the wonderful fellow Americans we lost who did … | 36 |
| 1627575273544904705 | @animal_lover365 @ChuckCallesto @FacesOfCOVID If the doctors would have been allowed to treat patients correctly, many would have survived. They were forced to do one-size-fits-all care. And, that care plan was … | 9 |
| 1626448416854220801 | Does @npratc @NPR @WNYC still do the #facesofcovid segment where they highlight one person who passed of COVID? Ppl are still dying daily #massdeaths #CovidIsNotOver @MarkedByCovid @FacesOfCOVID https://t.co/0lWagVFqy9 | 6 |
| 1627550481147998209 | @animal_lover365 @ChuckCallesto @FacesOfCOVID But people were forced to get the shot or lose their job. Science was ignored by those yelling to trust the science! | 6 |
| 1627539380226097153 | @animal_lover365 @ChuckCallesto @FacesOfCOVID This is taken DIRECT from the WHO website. Now you tell me that all those people who died WITH Covid, not FROM Covid actually did so? https://t.co/WAmMGAPA91 | 5 |
| 1627505912016523264 | @animal_lover365 @ChuckCallesto @FacesOfCOVID People were scared into going to the hospital and ultimately requesting a vent they didn’t need. Most of those people never came off the vent. Listen to … | 3 |
| 1627655831411122177 | @animal_lover365 @ChuckCallesto @FacesOfCOVID Yes people do die of diseases - People don’t survive lots of things, and that’s OK. It’s how the system called “being human” operates. We have to … | 3 |
| 1627696192644587520 | @animal_lover365 @DeLaughte8 @ChuckCallesto @FacesOfCOVID We have NOT lost a million people to COVID. They faked the Death certificates. There are plenty of Doctors out there saying so. Dr. Scott Jensen … | 2 |
| 1627504564617216002 | @animal_lover365 @ChuckCallesto @FacesOfCOVID Some people never get it…then again, some people take the “vaccine” voluntarily and end up with all sorts of problems…especially the least at risk, go figure, they … | 2 |
| 1627625207039918081 | @animal_lover365 @ChuckCallesto @FacesOfCOVID As if the vaccine prevents you from contracting it. | 2 |
Top verwendete Sprachen
Top 10 Hashtags
| Hashtag | Count |
|---|---|
| #facesofcovid | 2 |
| #massdeaths | 2 |
| #covidisnotover | 2 |
| #godblessamerica | 1 |
| #block | 1 |
| #scamdemic | 1 |
| #neverforget | 1 |
| #covid19 | 1 |
| #covid_19 | 1 |
| #pandemic | 1 |
Top 10 Erwaenungen
| Mention | Count |
|---|---|
| @facesofcovid | 233 |
| @chuckcallesto | 130 |
| @animal_lover365 | 97 |
| @delaughte8 | 21 |
| @susanschutte2 | 14 |
| @popo88mitch | 11 |
| @socalgirl1776 | 4 |
| @covid19tracking | 3 |
| @miskelwilliam | 3 |
| @terrytravers3 | 2 |
Wortwolke der Tweets
Emoji-Analyse
Durchschnittliche Emojis pro Tweet:
67
Verwendete Emojis
| Emoji | Count | Emoji Text |
|---|---|---|
| 🤣 | 78 | rolling_on_the_floor_laughing |
| 💔 | 17 | broken_heart |
| 🙏 | 13 | folded_hands |
| 😢 | 5 | crying_face |
| ♥️ | 4 | heart_suit |
| 🫂 | 3 | people_hugging |
| 🕯️ | 3 | candle |
| 🙏🏻 | 3 | folded_hands_light_skin_tone |
| 💚 | 3 | green_heart |
| 🙏🏼 | 2 | folded_hands_medium-light_skin_tone |
Emoji-Gruppen
| Emoji Group | Count |
|---|---|
| Smileys & Emotion | 116 |
| People & Body | 25 |
| Objects | 5 |
| Activities | 4 |
| Animals & Nature | 2 |
| Symbols | 1 |
| Travel & Places | 1 |
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