Keywords & Categories
government, coronavirus, pandemic, covid19
— Xperthr (@XpertHR) April 17, 2020
The following is a sample of the type of thing people are saying in regards to this subject. Automatic editing for clarity has been performed.
What treatments are being developed for COVID-19?
This talking point appears to be party political. It has the keywords ‘coronavirus,covid19,government,pandemic’. There were a total of 33 unique tweets in the group. The politician Boris Johnson (Conservative) was mentioned in this group of tweets. The sentiment score was -0.01. The aggregate score was 736.93.
The following graph shows the popularity of keywords in this group over time.
The following graph shows common words used by tweets in this group.
Location of Tweets
The following map shows the location of some of the tweets.
The following graph highlights the left/right (wing) alignment of the tweets and the love/hate (sentiment) expressed. The x-axis is far-left (-1) to far-right (+1). The y-axis is strong disagreement (-1) to complete agreement(+1).
The following graph highlights the happy/sad (happiness) emotion in tweets and the love/hate (love) views in tweets within this group. The x-axis is despair (-1) to ecstacy (+1). The y-axis is rage/hate (-1) to love.
Economic and Social Spectrum
The following graph highlights the social/economic views in tweets within this group. The x-axis is economically socialist (-1) to economically capitalist (+1). The y-axis is socially conservative (-1) to socially progressive (+1).
More details will follow.
Wearing a face mask (even just a scarf) should be made compulsory in public for the duration of the coronavirus pandemic. Saving lives is the number one priority. Even though they are not 100% effective, face masks can reduce the contraction & transmission of the virus. Please RT pic.twitter.com/GBg0CFEqe7
— Peter Tatchell (@PeterTatchell) April 17, 2020
🦠Coronavirus: Decade of Tory austerity policies left UK 'unprepared' for outbreak, former government science adviser says | The Independent https://t.co/AmkuRKHwIS
— John Ashton (@johnashton4pcc) April 15, 2020
— Wassila Howes (@Wh6Howes) April 17, 2020
— BC building information sales leads data analysis (@buildersconf) April 17, 2020
How does the novel coronavirus SARS-CoV-2 infect human cells? What treatments are being developed for COVID-19?
— POST (UK Parliament) (@POST_UK) April 17, 2020
Officials have said smokers with #coronavirus are 14 times more likely to develop severe symptoms, as the virus attacks the respiratory system, with both smoking and passive smoking weakening lungs #COVID19
— ASH (@ASH_LDN) April 14, 2020
— Supply Management (@supplymgmt) April 17, 2020
China will face ‘hard questions’ over coronavirus pandemichttps://t.co/YdYXQfThiP
— Bob For A Full Brexit (@boblister_poole) April 17, 2020
How the primary tweet was scored:
TALKING POINT EVALUATION: FROM: xperthr ORIGINAL: HR and coronavirus survey: four weeks into lockdown @XpertHR surveyed 388 #HR professionals about the challenges facing them and their organisations as the #coronavirus pandemic continues. Analysis: https://t.co/GHY4Jgs6ms Benchmarking data: https://t.co/b3007mMNtG https://t.co/MS8feliylR NORMALIZED: HR and coronavirus survey: 4 weeks into lockdown ❲Xperthr❳ surveyed 388 #HR professionals about the challenges facing them and their organisations as the #coronavirus pandemic continues. Analysis: Benchmarking data: NORMALIZED TAG STRING: _hr_and_coronavirus_survey_4_weeks_into_lockdown_xperthr_surveyed_388_#hr_professionals_about_the_challenges_facing_them_and_their_organisations_as_the_#coronavirus_pandemic_continues_analysis_benchmarking_data_ FINGERPRINT: /what:health,leaks,topic_covid_19/who:/where:/when:P4W,PT1H SHORT FINGERPRINT: /CVDHTHLKS// RELATED FINGERPRINT: CVDHTHLKS ACCEPTED CATS: [topic_covid_19, health, leaks] EVENT CATS (>25%): brexit_leave: 25% business: 28% climate: 40% consumerism: 28% culture_war: 25% financial: 29% health: 44% iran: 25% lab_soc: 27% leaks: 41% science: 36% syria: 36% topic_covid_19: 45% un: 29% Initial Score: 2.000000 Sentiment (Net 0.05) modified: 4.000000 Follower (32970/2530) boost: 9.134758 Temporal Topic (topic_covid_19) boost: 18.269515 Political (leaks) boost: 36.539030 Impersonal (VBG) bonus: 43.846836 Impersonal (VBZ) bonus: 52.616203 Impersonal (VBG) bonus: 63.139444 Final normalized score: 94.709166 Above Threshold