PatrickW - Tweet Data Analysis
Tweets Analysis - Keyword: @PatrickW
Veröffentlicht am 8. März 2023
Übersicht
Tweets covering
10 days
Latest tweet was on
2023-02-21
Earliest tweet was on
2023-02-10
Total number of tweets analysed
561
Average age of authors' accounts
8 years
Zusammenfassung
PatrickW is discussing success, elections, healthcare provision structures in the US, legal consequences of crimes, loyalty to employers, and the phrase "Many people are saying" in a conversation with several different people. Additionally, the 2000 Mules conspiracy theory has been discredited and people in dual Medicare-Medicaid programs may be affected by cuts to Medicaid. There was also a discussion of D'Souza's pipe dream and General Sherman's march to the sea. Lastly, it was mentioned that if the penalty of a crime is money, then it is only a crime for poor people.
Themenmodellierung
- Work Ethic
- Elections
- Healthcare Provision Structures
- Defunding
- Poverty
Emotionsanalyse
The emotions expressed in these tweets range from frustration to disbelief. Many of the tweets express confusion and disbelief at the lack of clarity around the success criteria and the implications of certain decisions. There is also a sense of outrage at the idea of rewarding work ethic with no reward, and the idea that only poor people are subject to criminal penalties. There is a cynical tone to some of the tweets, mocking conspiracy theories and suggesting that certain decisions are designed to hurt people who don't vote for a particular party. Finally, there is a sense of irony and sarcasm in some of the tweets, such as the reference to General Sherman riding through a town on his way to the sea.
Trendanalyse
- The impacts and consequences of the defunding of Obamacare in the US.
- The reliability and authenticity of the “2000 Mules” conspiracy theory.
- Understanding the true meaning of work ethic.
- The effects of employer loyalty on employee wages.
- The differences between Medicare and Medicaid provision in the US.
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
87
15% vom Gesamten
Number of Original tweets
0
0% vom Gesamten
Number of tweets that were Quotes
37
6% vom Gesamten
Number of tweets that were Replies
473
84% vom Gesamten
Number of tweets that contain Hashtags
7
1% vom Gesamten
Number of tweets that contain Mentions
561
100% vom Gesamten
Verwendete Geräte zum Tweeten
Top 5 Geräte
| Source | Count |
|---|---|
| Twitter for iPhone | 210 |
| Twitter Web App | 161 |
| Twitter for Android | 140 |
| Twitter for iPad | 37 |
| TweetDeck | 10 |
Geräteverteilung
Top 10 Konten nach Followern
| Username | Name | Bio | Followers count |
|---|---|---|---|
| fuckyouiquit | Fuck You I Quit | The labor market is a mess. Here to show you why. Highlighting workers conflict with poor management, corporate greed, bad business, and the economy. | 391.177 |
| joshtpm | Josh Marshall | Founder and reigning monarch at TPM. Lapsed historian. Polk Award winner. ✡️ (Get my daily newsletter by subscribing to @TPM) | 390.205 |
| mirandayaver | Miranda Yaver, PhD | Political science prof (US law, public policy, health policy) at @Wheaton, bylines at NYT WaPo & The Guardian, @Columbia PhD, @Cal bear, @springsteen fiend | 32.841 |
| PauletteParis1 | Paulette Feeney | If you can't be funny be Feeney. | 24.174 |
| halladayfan32 | matt harvey | i am a huge jays fan i live my life with aspergers i am 41 I am not baltimore minor or major league pitcher matt Harvey #icanhelp #proudtwotimeuncle (he/him) | 19.571 |
| txvoodoo | Lisa Rowe | Chiweenies • knitting • history• #lgBtq • #Widow • disabled • lupus • rheumatoid arthritis • she/her • Philly girl in Texas • #ItsAPhillyThing • #ImComingHome | 11.883 |
| sharondigi | Chief's Wife | #Politics. #Intelligence. #NatSec. #GoBills https://t.co/NqmE3v8LEm | 10.197 |
| craigaatkinson | Craig Atkinson | Director @LexmercaTrade | Consultant @UN | Fellow @StanfordLaw | Observer @OASISopen | #data #dev #digital #econ #law #GVCs #SDGs #trade #tech | 9.825 |
| stanspak | Stan Spak | retired, husband, father, grandfather, brasseur de merde #GetVaccinated #WearAMask #GetBoosted #VoteBlue2022 #StandWithUkraine #StopPutin #NeverVoteConservative | 9.285 |
| BrettaApplebaum | Vichy Trump du Putin | https://t.co/hF4XEIjH3U #Scientist #NastyWoman Flibbertygibbit #MyDeadMomSays Delectable Mischief #Atheist #Ironbutt #1300VTX #WarOnWomen | 8.986 |
Top 10 Konten nach Following
| Username | Name | Bio | Followers count |
|---|---|---|---|
| halladayfan32 | matt harvey | i am a huge jays fan i live my life with aspergers i am 41 I am not baltimore minor or major league pitcher matt Harvey #icanhelp #proudtwotimeuncle (he/him) | 21.520 |
| PauletteParis1 | Paulette Feeney | If you can't be funny be Feeney. | 11.762 |
| craigaatkinson | Craig Atkinson | Director @LexmercaTrade | Consultant @UN | Fellow @StanfordLaw | Observer @OASISopen | #data #dev #digital #econ #law #GVCs #SDGs #trade #tech | 9.814 |
| BrettaApplebaum | Vichy Trump du Putin | https://t.co/hF4XEIjH3U #Scientist #NastyWoman Flibbertygibbit #MyDeadMomSays Delectable Mischief #Atheist #Ironbutt #1300VTX #WarOnWomen | 8.915 |
| DMW_JD2014 | Deloris~#VoteBlue | LOGICAL~PPL~PET~ART & SCI LOVER~MBA/EDUCATOR #BidenHarris~Peace~Love & #PowerToThePpl~Post are mine #BLM~NoLIST #RESIST #FBR | 8.597 |
| DA4Pups | 🌻Red Isn't My Color🇺🇦 | I am what I am Sam I am. Blue living in a red state. (Dem bashing, porn, lists, ads, sales = block) #Resist #uniteblue #Vote | 8.422 |
| LaurenDownSouth | Lauren Down South | Voting blue is the only way to save America. | 8.265 |
| TheMMChief | Robert Challender #IStandWithUkraine | My politics - based on fact, humanitarianism, or history. GOP/FOX Whackjobs make me say fuck alot. #Resistance #VeteransAgainstTrump #GunViolenceInAmericaSucks | 8.175 |
| txvoodoo | Lisa Rowe | Chiweenies • knitting • history• #lgBtq • #Widow • disabled • lupus • rheumatoid arthritis • she/her • Philly girl in Texas • #ItsAPhillyThing • #ImComingHome | 8.027 |
| stanspak | Stan Spak | retired, husband, father, grandfather, brasseur de merde #GetVaccinated #WearAMask #GetBoosted #VoteBlue2022 #StandWithUkraine #StopPutin #NeverVoteConservative | 7.788 |
Aktivste Nutzer
| Username | Bio | Number of tweets |
|---|---|---|
| TheBrandoMando | Husband. Father. Patriarch. Follow me if you’ve ever been called: Conspiracy Theorist, Election denier, Climate denier or Trans phobic… we’d probably get along. | 26 |
| leousn | Dad and Husband, American, Veteran, Attorney, Republican, in that order...but also not a cultist (which you may call a 'RINO' and I may take as a compliment). | 11 |
| KawaiiTsundoku | Software engineer, conservative, pianist, Japanese student, and amateur philosopher. I may or may not follow back, take that into account when following. | 10 |
| sforza_victor | 8/4/61 worked for NYC govt (office of records & deeds) 1984-2016 #BLM 🏳️🌈 @islanders @nets @orioles @vikings #liberaldemocrat #bidenharris 🇺🇲🇮🇹🇨🇦🇺🇦 | 10 |
| THElolercopter | Chillin | 5 |
| Maxamegalon2000 | I'm a criminal defense attorney at @SzczewskiLaw, but unless I've told you as much, I'm not your attorney. Retweets are not endorsements; neither are tweets. | 4 |
| txvoodoo | Chiweenies • knitting • history• #lgBtq • #Widow • disabled • lupus • rheumatoid arthritis • she/her • Philly girl in Texas • #ItsAPhillyThing • #ImComingHome | 4 |
| luisafontana | https://t.co/dHInaCXpWI fascism must be crushed… no DMs please | 4 |
| mojoman04 | Attorney/J.D.; Poli-Sci degree; GIT grad; News junkie; #FBR #Resist #BlueWave. 🌊🌊🌊; Blocked by @ElonMusk. Follow me on https://t.co/Dr02ENwQGS and/or https://t.co/tOx5GEbNiF | 4 |
| babzifyounasty | Grimm. 🏳️🌈 Sculptor/Artist Meat and potatoes kind of guy. survival horror collector. Weight lifter. Chaotic good. | 4 |
Tweets pro Tag
Top 10 Tweets nach Retweets
| ID | Text | Retweet count |
|---|---|---|
| 1627439140823351296 | @PatrickW @JStein_WaPo yeah, it basically cuts the foundation out from under most healthcare provision structures in the US. More broadly amounts to defunding Obamacare, which is of course both Obamacare … | 18 |
| 1626697501020663809 | @PatrickW Crimes that only have fines imposed means that it’s legal for a price. | 7 |
| 1626708257451700224 | @PatrickW @fuckyouiquit If the penalty of the crime is money, then it is only a crime for poor people. | 3 |
| 1626700556755517443 | @PatrickW @fuckyouiquit https://t.co/zKz0e2EQp2 | 3 |
| 1627502589599268866 | @sforza_victor @BlaneErwin @joshtpm @PatrickW @JStein_WaPo . @TheDemocrats need to point out that these cuts will be cuts to impoverished senior citizens | 2 |
| 1627713003486314505 | @PatrickW @mtgreenee Mule votes don’t count when you have real elections. | 2 |
| 1624795937708077058 | @PatrickW @prchovanec You actually think that? Jeff Gerth's piece in the Columbia Journalism Review refutes that. Gerth, a longtime New York Times reporter has a long discussion of how the … | 1 |
| 1626590971000684548 | @PatrickW We should be at warp speed on an H5N1 mRNA vaccine and hope we don't need it. | 1 |
| 1627546014067355648 | @soleilbrille18 @MyP_Chicago @AntarianRani @BlaneErwin @joshtpm @PatrickW @JStein_WaPo They get to Yell LOCK HER UP So they're good.. everything with them circles back to some culture war.. | 1 |
| 1627424205313814529 | @PatrickW @JStein_WaPo @joshtpm Do they forget that Medicaid money goes to doctors, nurses, hospitals & pharmacies (not the "poor?"). | 1 |
Top 10 Tweets nach Likes
| ID | Text | Like count |
|---|---|---|
| 1625544436540227603 | @PatrickW @fuckyouiquit He didn’t say whose success it determines… wonder why 😏 | 104 |
| 1627713003486314505 | @PatrickW @mtgreenee Mule votes don’t count when you have real elections. | 85 |
| 1627439140823351296 | @PatrickW @JStein_WaPo yeah, it basically cuts the foundation out from under most healthcare provision structures in the US. More broadly amounts to defunding Obamacare, which is of course both Obamacare … | 85 |
| 1626697501020663809 | @PatrickW Crimes that only have fines imposed means that it’s legal for a price. | 71 |
| 1627729533712601090 | @TheBrandoMando @PatrickW @mtgreenee 2000 Mules has been thoroughly discredited. It’s false. | 32 |
| 1625566598781358080 | @PatrickW @fuckyouiquit And what you mean by "work ethic". People can work hard without being slaves to their jobs. My past experience: many employers will simply take advantage of said … | 29 |
| 1627743131515949064 | @PatrickW @RonFilipkowski Everyone she talks to - https://t.co/iIyFLP7b5c | 29 |
| 1627696954942578690 | @PatrickW @RonFilipkowski Says her constituents. They all come from the same family tree that has no branches. | 28 |
| 1626700556755517443 | @PatrickW @fuckyouiquit https://t.co/zKz0e2EQp2 | 28 |
| 1625563767009583104 | @PatrickW @fuckyouiquit I still remember the time I left a higher-paying part-time job to ensure that I'd be available for the technically-still-part-time 40hrs/week minimum wage job. You know, to show … | 24 |
Top verwendete Sprachen
Top 10 Hashtags
| Hashtag | Count |
|---|---|
| #trump | 1 |
| #2000mules | 1 |
| #insurrectionists | 1 |
| #china | 1 |
| #russia | 1 |
| #iran | 1 |
| #deathsantis | 1 |
| #bitfd | 1 |
| #tuckersuckers | 1 |
| #foxfools | 1 |
Top 10 Erwaenungen
| Mention | Count |
|---|---|
| @patrickw | 561 |
| @mtgreenee | 208 |
| @thebrandomando | 143 |
| @ronfilipkowski | 62 |
| @grumpyoldlady61 | 39 |
| @jstein_wapo | 32 |
| @joshtpm | 31 |
| @hawleymo | 27 |
| @fuckyouiquit | 20 |
| @scottdonohue6 | 16 |
Wortwolke der Tweets
Emoji-Analyse
Durchschnittliche Emojis pro Tweet:
9
Verwendete Emojis
| Emoji | Count | Emoji Text |
|---|---|---|
| 🤣 | 11 | rolling_on_the_floor_laughing |
| 😂 | 4 | face_with_tears_of_joy |
| 😉 | 3 | winking_face |
| 🇺🇸 | 2 | United_States |
| 🤪 | 2 | zany_face |
| 🤦 | 2 | person_facepalming |
| 🤡 | 2 | clown_face |
| 🪞 | 2 | mirror |
| 🙄 | 2 | face_with_rolling_eyes |
| 🤔 | 2 | thinking_face |
Emoji-Gruppen
| Emoji Group | Count |
|---|---|
| Smileys & Emotion | 36 |
| People & Body | 8 |
| Flags | 3 |
| Objects | 3 |
| Activities | 1 |
| Travel & Places | 1 |
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