LizHighleyman - Tweet Data Analysis
Tweets Analysis - Keyword: @LizHighleyman
Published March 9, 2023
Overview
Tweets covering
10 days
Latest tweet was on
2023-02-20
Earliest tweet was on
2023-02-10
Total number of tweets analysed
4,125
Average age of authors' accounts
7 years
Summarization
Liz Highleyman investigated the efficacy of facial mask mandates and concluded in her article that the evidence that masks can be effective at a population level is still weak and warrants more study. The article was met with some criticism for not taking into account evidence from non-randomised controlled trials, as suggested by WHO guidelines. Furthermore, the article also highlighted how masks had become politicized, which is why many are now hesitant to admit their lack of effectiveness.
Topic Modeling
- Evidence of Mask Effectiveness
- Potential Consequences of Not Wearing Masks
- Political Impact of Masks
- Individual Responsibility and Agency
- Reliability of Current Evidence
Emotional Analysis
The emotions expressed in these tweets range from frustration and anger to admiration and support. Many of the tweets criticize Liz Highleyman for her reporting on the lack of evidence for mask mandates, accusing her of bias and of not doing enough to seek out the truth. Other tweets express admiration for Highleyman's bravery in reporting on the topic, while still others express frustration with the lack of evidence and the politicization of masks. Finally, some tweets express concern over the impact of long Covid and the need to protect children. Overall, the tweets demonstrate a range of emotions, from disbelief to admiration, as people discuss the evidence for mask mandates.
Trend Analysis
- Evidence for and against efficacy of masks
- Impact and implication of individual facts and behaviors
- Masks as medical and political symbols
- Misinformation and confusion preventing correct responses and practices
- Implication of long-term Viral Tolerance and the role of Science Journalism
Disclaimer: The text analysis on twtdata.com, powered by OpenAI, does not represent the views of twtdata.com or its affiliates. The analysis is for informational purposes only and not an endorsement of any viewpoint.
Types of Tweets
Number of Retweets
344
8% of total
Number of Original tweets
34
0% of total
Number of tweets that were Quotes
180
4% of total
Number of tweets that were Replies
3,731
90% of total
Number of tweets that contain Hashtags
134
3% of total
Number of tweets that contain Mentions
4,125
100% of total
Devices Used to Tweet
Top 5 Devices
| Source | Count |
|---|---|
| Twitter Web App | 1,528 |
| Twitter for iPhone | 1,410 |
| Twitter for Android | 957 |
| Twitter for iPad | 168 |
| IFTTT | 16 |
Device Distribution
Top 10 Accounts by Followers
| Username | Name | Bio | Followers count |
|---|---|---|---|
| TaylorLorenz | Taylor Lorenz | Technology columnist @washingtonpost | SUBSCRIBE TO MY FREE NEWSLETTER!! 👇🏻👇🏻👇🏻 https://t.co/obOIW1kg4F | 355,405 |
| VPrasadMDMPH | Vinay Prasad MD MPH | Professor @ucsf, Physician-Scientist, Writer; More at @vkprasadlab @plenary_session, YouTube, #vpzd podcast & @Sensible__Med; Views are mine | 258,398 |
| trishgreenhalgh | Trisha Greenhalgh | Professor of Primary Health Care, Oxford. Independent SAGE. Views my own. Blue tick in old money. Staying - for now. Also on other platforms - find me. | 179,242 |
| jeremyphoward | Jeremy Howard | 🇦🇺 Co-founder: @FastDotAI ; Hon Professor: @UQSchoolITEE ; [email protected] ; :wq | 164,954 |
| dgurdasani1 | Dr. Deepti Gurdasani | Clinical epidemiology, machine learning, global health. Intersectional feminist. she/her. Now also on @[email protected] | 144,319 |
| 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 | 123,660 |
| AaronGoodman33 | Aaron Goodman - “Papa Heme” | Hematologist/Bone marrow transplanter at UCSD/educator - loves teaching all of Twitter medicine, husband+father/Guitar 🎸/Nirvana best band ever!/Loves tacos | 112,253 |
| JeninYounesEsq | Jenin Younes (former handle @leftylockdowns1) | Civil liberties attorney & writer. Classical liberal trying to revive classical liberalism. Likes/retweets not = endorsements. Views are my own. | 112,202 |
| ianmSC | Ian Miller | insert whatever credentials you think are important here - Writer at @outkick | 103,790 |
| vonbrauckmann | Patrick Brauckmann 🕉️ | Originally from 🕉Brahman, Grateful but non-local. #endspeciesism, Author of Space and Time. Brahma satyam jagat-mithyä jivo brahmaiva näparah. 🕉 | 102,044 |
Top 10 Accounts by Friends
| Username | Name | Bio | Followers count |
|---|---|---|---|
| qfd_bruce | 🇺🇸🇨🇦Dave or Bruce Still Deboosted🇨🇦 🇺🇸 | Techie, views are mine, likes/rt’s not = endorsements, very married. Parler @qfdBruce but Telegram, GAB same as twatter & under construction 🚫Dating 🚫Bitcoin | 45,841 |
| pash22 | Ash Paul | Public Hlth Dr,interested in evid-based health services commissioning,clinical leadership & hlth policy.My views are my own,RTs are no endorsements | 33,481 |
| lorakolodny | Lora Kolodny | Optimistic on the inside. Reporter at https://t.co/ldjKmLAMuG (Tesla & climate tech) Ex-TechCrunch, -WSJ. Tweets mine. Email: [email protected] | 25,186 |
| REGENETARIANISM | REGENETARIANISM | Writer, researcher, retired food industry consultant & unabashed NERD exploring the connections betw soil & nutritional science + botany & atmospheric chemistry | 22,247 |
| Matthew_Hodson | Matthew Hodson | Executive Director @aidsmap. Shamelessly #HIV+. These opinions, gym-selfies & choices are mine but you’re welcome to them. #UequalsU #BLM He/him. 🏳️🌈🇪🇺🌱 | 17,895 |
| keetmuise | Keith Muise | 80s Kid, Movie Buff, and I still like Milli Vanilli. | 17,627 |
| melodyisdestiny | Allison 🌻 | Live Music, Politics, Comedy & Tech. California Liberal, Adoptee. Love my husband & girls ❤️ 🎶 #Demcast | 11,913 |
| DancerDad | DadDancer | Non-conformist, libertarian, freedom lover | 11,224 |
| ZaRdOz420WPN | ZaRdOz420WPN | Progressive Democrat 🐈 Cat Lover SinglePayerSunday ¤ Medicare For All ¤ Pro-Choice ¤ Abortion is Healthcare ¤ Expand Social Security ¤ ADHD ¤ | 11,028 |
| JonnaChissus | Jonna 🇺🇸🌊 | Politics, cats, books, libraries, art, Autism. 🌊🌊🌊 | 10,156 |
Most Active Users
| Username | Bio | Number of tweets |
|---|---|---|
| MichaelSFuhrer | Understanding and communicating the pandemic. quantum materials physics Director @FLEETCentre Photos: @featherasalight Mastodon: @[email protected] | 71 |
| DancerDad | Non-conformist, libertarian, freedom lover | 48 |
| alexharv074 | Computing, climate change and energy, nuclear power, Covid, politics. Centrist. | 47 |
| Susan22582783 | - | 46 |
| taipan168 | It's not a contradiction to be socially liberal but economically conservative. | 38 |
| Dave99117584 | Centrist Dad. Trumpism is worse than progressivism, but only slightly. Blocking people who respectfully disagree with you is WEAK. | 36 |
| KrauthBen | Data geek | 35 |
| exiles_mother | Trans kids exist and must be protected. Trans people exist. Trans people have rights. Trans rights are human rights. Human Rights are for all humans. | 33 |
| deviantgauge | Nurse practitioner, Masters weightlifter, autonomist Marxist, feminist, butch. Pronouns she/her or they/them. | 32 |
| PoeBrianL | Scientist and pro bono science communicator. #Peace, #ClimateCrisis, #climatebrawl, #COVIDisAirborne, #PlantBasedDiet, #Permaculture, #FreeAssange | 31 |
Tweets Per Day
Top 10 Tweets by Retweets
| ID | Text | Retweet count |
|---|---|---|
| 1625152019425300480 | MASK MANDATES: Good summary @LizHighleyman/@Slate Cochrane review. Bottom line: Maybe work at individual level, doesn't meet level of evidence at population level (need more studies) to mandate even in healthcare: … | 224 |
| 1625206787409608704 | @LizHighleyman @Slate @CochraneLibrary @JenniferNuzzo @Jabaluck @VPrasadMDMPH Here is a clear summary of evidence. The science is clear. Respirators work. The review is heavily biased and ignores measurements. Please explain how … | 123 |
| 1625325996881707011 | @LizHighleyman @kprather88 That’s not what the subheadline says. Isn’t like saying condoms, seat belts, helmets, etc don’t work…of course they don’t work IF YOU DON’T USE THEM. https://t.co/1ALyxLP5fq | 69 |
| 1625211797069500416 | @LizHighleyman This is a half hearted effort to contact 1 busy person to claim you tried to get the truth. You easily found many people who are heavily anti-mask. Why … | 39 |
| 1625264316730449924 | https://t.co/zyU1O3cKZL Wow. Times sure have changed. Slate actually published a very good piece by @LizHighleyman about the Cochran study and lack of evidence mask-wearing prevents Covid or other respiratory viruses. … | 35 |
| 1625311758654259201 | @LizHighleyman @Slate @CochraneLibrary @JenniferNuzzo @Jabaluck @VPrasadMDMPH No. It is whether people get correct info on how and why to wear masks from people like you. Confusion leads to misuse. Time … | 33 |
| 1625151699655577603 | Veteran science journalist @LizHighleyman reports on the fact that there is still not strong evidence that masking is an effective Covid mitigation tool. https://t.co/fmcxfq0Jnt | 32 |
| 1625168747097882626 | This is a good and brave piece from @LizHighleyman. Masks became so politicized and such a symbol that there’s a real reluctance to admit what this piece makes clear: Three … | 32 |
| 1625205120601292800 | While it would certainly be nice to have more RCTs, this article misses the key point @LizHighleyman : there are powered studies -- like our study in Bangladesh and many … | 30 |
| 1625197188279320576 | Nice article by @LizHighleyman in @Slate on the Cochrane Physical Interventions Analysis Proponents of masking had 3 years to generate credible data & failed. They aren't far from the analogy … | 22 |
Top 10 Tweets by Likes
| ID | Text | Like count |
|---|---|---|
| 1625152019425300480 | MASK MANDATES: Good summary @LizHighleyman/@Slate Cochrane review. Bottom line: Maybe work at individual level, doesn't meet level of evidence at population level (need more studies) to mandate even in healthcare: … | 1,156 |
| 1625206787409608704 | @LizHighleyman @Slate @CochraneLibrary @JenniferNuzzo @Jabaluck @VPrasadMDMPH Here is a clear summary of evidence. The science is clear. Respirators work. The review is heavily biased and ignores measurements. Please explain how … | 703 |
| 1625325996881707011 | @LizHighleyman @kprather88 That’s not what the subheadline says. Isn’t like saying condoms, seat belts, helmets, etc don’t work…of course they don’t work IF YOU DON’T USE THEM. https://t.co/1ALyxLP5fq | 550 |
| 1625211797069500416 | @LizHighleyman This is a half hearted effort to contact 1 busy person to claim you tried to get the truth. You easily found many people who are heavily anti-mask. Why … | 333 |
| 1625311758654259201 | @LizHighleyman @Slate @CochraneLibrary @JenniferNuzzo @Jabaluck @VPrasadMDMPH No. It is whether people get correct info on how and why to wear masks from people like you. Confusion leads to misuse. Time … | 317 |
| 1625151699655577603 | Veteran science journalist @LizHighleyman reports on the fact that there is still not strong evidence that masking is an effective Covid mitigation tool. https://t.co/fmcxfq0Jnt | 308 |
| 1625179916156411904 | @MonicaGandhi9 @davidemccune @LizHighleyman @Slate Amazing that some of us were saying this for two years only to be called names. labeled and derided by “experts” who claimed, without evidence, that … | 297 |
| 1625264316730449924 | https://t.co/zyU1O3cKZL Wow. Times sure have changed. Slate actually published a very good piece by @LizHighleyman about the Cochran study and lack of evidence mask-wearing prevents Covid or other respiratory viruses. … | 240 |
| 1625239483510849536 | @LizHighleyman @Slate @CochraneLibrary @JenniferNuzzo @Jabaluck @VPrasadMDMPH In all honesty why are you giving Prasad any air time and all? | 222 |
| 1625256370609045517 | @LizHighleyman @Slate @CochraneLibrary @JenniferNuzzo @Jabaluck @VPrasadMDMPH Hi Liz - did you notice that the evidence table was mostly “low” quality data. While the Cochrane methodology is good it’s still garbage … | 219 |
Top Languages Used
Top 10 Hashtags
| Hashtag | Count |
|---|---|
| #hiv | 43 |
| #croi2023 | 35 |
| #rt | 19 |
| #longcovid | 18 |
| #covidisairborne | 10 |
| #aids | 6 |
| #prep | 5 |
| #prevention | 5 |
| #latino | 5 |
| #stigma | 5 |
Top 10 Mentions
| Mention | Count |
|---|---|
| @lizhighleyman | 4,143 |
| @slate | 2,089 |
| @vprasadmdmph | 1,537 |
| @jabaluck | 1,471 |
| @jennifernuzzo | 1,469 |
| @cochranelibrary | 1,454 |
| @kprather88 | 820 |
| @monicagandhi9 | 563 |
| @benryanwriter | 228 |
| @jdmereweather | 173 |
Wordcloud of Tweets
Emoji Analysis
Average emojis per tweet:
9
Emojis Used
| Emoji | Count | Emoji Text |
|---|---|---|
| 🤣 | 38 | rolling_on_the_floor_laughing |
| 😂 | 31 | face_with_tears_of_joy |
| 🤡 | 29 | clown_face |
| 🙄 | 22 | face_with_rolling_eyes |
| 😷 | 16 | face_with_medical_mask |
| 1️⃣ | 10 | keycap_1 |
| 😀 | 8 | grinning_face |
| 🤷♂️ | 8 | man_shrugging |
| 👇 | 8 | backhand_index_pointing_down |
| 🤷♀️ | 7 | woman_shrugging |
Emoji Groups
| Emoji Group | Count |
|---|---|
| Smileys & Emotion | 219 |
| People & Body | 99 |
| Symbols | 36 |
| Objects | 9 |
| Activities | 5 |
| Animals & Nature | 4 |
| Food & Drink | 2 |
| Travel & Places | 1 |
| Flags | 1 |
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