sarahoconnor_ - Tweet Data Analysis
Tweets Analysis - Keyword: @sarahoconnor_
Published April 8, 2023
Overview
Tweets covering
9 days
Latest tweet was on
2023-03-31
Earliest tweet was on
2023-03-22
Total number of tweets analysed
231
Average age of authors' accounts
10 years
Summarization
The tweets cover a range of topics including post-Budget commentary on conditionality, a potential six month period where conditionality is off the table, flaws of conditional benefits versus basic income, recommendations to not force the unemployed into low-paid work, automation at work, career advice, the expansion of job responsibilities, and a change in Germany's employment focus from any job to high productivity and beneficial jobs for workers. The tweets also feature mentions of various individuals and projects.
Topic Modeling
- Critique of conditionality policies in welfare
- Exploring alternatives to conditionality policies in welfare
- Commentary on automation and artificial intelligence in the workplace
- Challenges and inefficiencies in office administration/outsourcing
- Germany's approach to employment and productivity
Emotional Analysis
The tweets express a variety of emotions, including concern, frustration, hopefulness, and admiration. Many are focused on issues related to employment and welfare policies, expressing frustration with the emphasis on compliance over engagement and support, and advocating for approaches that encourage people to engage with support and find high-quality jobs. Others express admiration for the work of a particular writer or researcher, highlighting their insightful analysis on topics ranging from automation to office work. Despite the range of emotions expressed, there is a common thread of seeking positive change and improvement in various aspects of work and welfare policy.
Trend Analysis
Focus on conditionality in social welfare policies Exploring alternatives to conditionality, such as an initial period without it Discussion on automation, AI and their impact on work and employment Critique of outsourcing and the expansion of job responsibilities Shift in focus from any job to quality employment and productivity
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
35
15% of total
Number of Original tweets
17
7% of total
Number of tweets that were Quotes
11
4% of total
Number of tweets that were Replies
174
75% of total
Number of tweets that contain Hashtags
5
2% of total
Number of tweets that contain Mentions
231
100% of total
Devices Used to Tweet
Top 5 Devices
| Source | Count |
|---|---|
| Twitter Web App | 106 |
| Twitter for iPhone | 66 |
| Twitter for Android | 51 |
| Twitter for iPad | 5 |
| TweetDeck | 2 |
Device Distribution
Top 10 Accounts by Followers
| Username | Name | Bio | Followers count |
|---|---|---|---|
| stephenkb | Stephen Bush | Associate editor and columnist @FinancialTimes. Bad tweets about Arsenal, public policy, politics, culture and email newsletters. Almost certainly joking. | 143,594 |
| mancunianmedic | David Oliver | NHS Dr 34 y. Covid wards++. Gov, policy, academic, officer roles. Byline: @BMJ_latest. Columns: health press, papers @mjauk. Manc-in-South. MCFC. Craic. Schlock | 67,108 |
| JoshBBornstein | Josh Bornstein | employment & IR lawyer, tribunal member, writer. | 52,525 |
| ProfTimBale | Tim Bale | @proftimbale@mastodonapp.uk Teach politics at @QMPoliticsIR. New book: "The Conservative Party After Brexit: Turmoil and Transformation" | 50,519 |
| YuanfenYang | Yuan Yang | migrant | @FT columnist & Europe-China corrrespondent | forthcoming 📖 on social mobility | co-founder @RethinkEcon | ✨ @ReadingQuakers @JRCT_UK @NUJofficial | 46,458 |
| BaldwinRE | Richard Baldwin | Prof Int'l Econ, Geneva Graduate Institute; Founder & Editor-in-Chief @VoxEU; Books: The Globotics Upheaval (2019), The Great Convergence (2016); MIT Econ PhD | 40,058 |
| JP_Biz | JPCampbellBiz | BBC NI Economics & Business Editor. Based in Belfast. john.campbell.01@bbc.co.uk | 32,507 |
| t0nyyates | Tony Yates | Economist. Ex Prof / central banker. 7/7 on the Goodwin elite test. | 30,554 |
| prospect_clark | Tom Clark | Fellow, @jrf_uk; Contributing Editor, @prospect_uk. Hopefully: @tom_clark@mastodonapp.uk NEW edited collection BROKE out March: https://t.co/jWSHf4QucE | 24,142 |
| Dr_D_Robertson | Dr Duncan Robertson | Policy & Strategy Analytics academic at Loughborough University; Fellow, St Catherine's College, Oxford. Focusing on COVID-19 Member, @IndependentSage. DMs open | 21,571 |
Top 10 Accounts by Friends
| Username | Name | Bio | Followers count |
|---|---|---|---|
| mancunianmedic | David Oliver | NHS Dr 34 y. Covid wards++. Gov, policy, academic, officer roles. Byline: @BMJ_latest. Columns: health press, papers @mjauk. Manc-in-South. MCFC. Craic. Schlock | 25,522 |
| TonyTassell | Tony Tassell | Financial Opinion Editor at the FT. I have views. Interested in markets, companies, world affairs. Started out in hot-metal era as copyboy on Adelaide News. | 11,047 |
| ft4s | FT for Schools | For students aged 16-19, teachers and schools around the world: free @FinancialTimes access + resources. Tweet us with your recommended articles and tell us why | 9,792 |
| vendorprisey | Thomas Otter | Venture Capitalist. GP Acadian Ventures. Phd KIT. DIPSI Oxford. ex-Gartner, SAP SuccessFactors #hrtech #worktech #earlystage | 7,256 |
| stephenkb | Stephen Bush | Associate editor and columnist @FinancialTimes. Bad tweets about Arsenal, public policy, politics, culture and email newsletters. Almost certainly joking. | 7,249 |
| maryohara1 | Mary O'Hara | Journalist, author, producer. LATEST BOOK https://t.co/XRqyiRgCpM Founder: @ProjectTwistit Chair: @NobbsMemorial Insta: maryoharawriter https://t.co/l29sCaX4FQ | 7,038 |
| McookAli | Ali H 🇺🇦 | Lifter. Feminist. European. In no particular order. 🔸🇪🇺 🎪 #FBPE #FBPPR. Anti-Racism in all forms. Cricket 🏏 Rugby 🏉 Retweet or follow ≠ endorsement. | 6,231 |
| JaneStRetCP | Jane Street 🌈💙 🌻🕊 🇺🇦🏳️⚧️She/her | She/her. Retired (!) ClinPsychologist. Carer. Mental health, equality, human rights & the NHS. And kittens! 😺Bit woke | 6,191 |
| JoshTANoble | Josh Noble | Sports editor, FT. | 6,014 |
| WhitefordPeter | Peter Whiteford | Interested in most aspects of social policy in Australia & internationally (also certain literary genres and restricted musical choices); also history (art too) | 5,693 |
Most Active Users
| Username | Bio | Number of tweets |
|---|---|---|
| billwells_1 | Born in Poplar. Relied much more on Chrisp Street Market than Poplar Borough Council. | 11 |
| Chile7171 | J. | 6 |
| BompeSea | - | 4 |
| JoeeggJoe | - | 4 |
| iMcKenzied | 5 years ago I was the day before yesterday’s person but they cancelled me anyway, destroyed my life in secret and I’m now broken. But I am still breathing. | 4 |
| finstumpf | Tweeting in a personal capacity. Retweets are not endorsements. Encouraging communities to appreciate the assets they have close to home. Alehouse haunter | 4 |
| illandancient | Streetlighting, spreadsheets, running, knitting, guitar, programming. probably moving to @illandancient@mastodon.scot | 3 |
| Winemessiah | Ordinary guy, wine 🍷 lover. WSET 3 (distinction) Occasional wine presenter. | 3 |
| AlgosJoni | Views expressed are my own. Data science lead at ONS Methodology. Tech, cloud, data sci, statistics, fermented products. | 3 |
| alexjbutcher | green-ish socially-liberal pro-markets libertarian-leaning but pragmatic and utilitarian IT security geek, and amateur geek of physics and economics. | 3 |
Tweets Per Day
Top 10 Tweets by Retweets
| ID | Text | Retweet count |
|---|---|---|
| 1638890402903097344 | Just in case of interest @djmgaffneyw4 @jdportes @KarenPBuckMP @patrickjbutler @maryohara1 @sarahoconnor_ @tianran https://t.co/EQGaLhGtmW | 11 |
| 1638529575863853057 | Lots of thoughtful post-Budget commentary on conditionality (cc @Samfr @tonywilsonIES @sarahoconnor_ @Henry_J_Parkes and others). Really highlights how far down the wrong track we’ve gone on purpose, policy and practice on … | 10 |
| 1638862993227120646 | "Now is not the moment to push people into just any job" Great to see our @UC_Employers @ESRC project covered in this excellent article @FinancialTimes @sarahoconnor_ https://t.co/8YeeQNKpIj (Full report here … | 6 |
| 1640381961653854208 | Is the carrot or the stick a better way to drive #Economic engagement ? Great piece here from @sarahoconnor_ for @FinancialTimes highlighting the flaws of #Conditional #Benefits Vs #BasicIncome https://t.co/g6sP4fONOo … | 6 |
| 1640688661472632833 | Please God, let @sarahoconnor_ be right https://t.co/YNXWTWReeC https://t.co/iNDg20Zcrp | 4 |
| 1640602231115218946 | “I don’t want AI to write the first drafts of my columns. But I’d love it to do my expenses for me” • @sarahoconnor_ We are all secretaries now https://t.co/IyKslialYL … | 4 |
| 1638944557462069256 | Excellent to see some findings from our @UC_Employers project highlighted in the @FT by the always brilliant @sarahoconnor_, arguing in line with our own recommendations that "forcing the unemployed into … | 4 |
| 1639706389529391110 | My first job: what I wish I had known - wise insights gathered by @sarahoconnor_ https://t.co/9JsxKSM7e2 | 3 |
| 1640684562572345344 | Excellent column about automation at work by @sarahoconnor_ : https://t.co/o6YfiXOc4x | 2 |
| 1640604499428425729 | We are all secretaries now - @sarahoconnor_ on office drudgery and the tyranny of self-service software https://t.co/fB2gvKN8tL | 2 |
Top 10 Tweets by Likes
| ID | Text | Like count |
|---|---|---|
| 1638529575863853057 | Lots of thoughtful post-Budget commentary on conditionality (cc @Samfr @tonywilsonIES @sarahoconnor_ @Henry_J_Parkes and others). Really highlights how far down the wrong track we’ve gone on purpose, policy and practice on … | 32 |
| 1639244555257253888 | There could be an initial six month period where conditionality is off the table (as @sarahoconnor_ reported was considered in Germany). We could evaluate what's effective during that time in … | 24 |
| 1640688661472632833 | Please God, let @sarahoconnor_ be right https://t.co/YNXWTWReeC https://t.co/iNDg20Zcrp | 21 |
| 1638890402903097344 | Just in case of interest @djmgaffneyw4 @jdportes @KarenPBuckMP @patrickjbutler @maryohara1 @sarahoconnor_ @tianran https://t.co/EQGaLhGtmW | 20 |
| 1638862993227120646 | "Now is not the moment to push people into just any job" Great to see our @UC_Employers @ESRC project covered in this excellent article @FinancialTimes @sarahoconnor_ https://t.co/8YeeQNKpIj (Full report here … | 18 |
| 1640381961653854208 | Is the carrot or the stick a better way to drive #Economic engagement ? Great piece here from @sarahoconnor_ for @FinancialTimes highlighting the flaws of #Conditional #Benefits Vs #BasicIncome https://t.co/g6sP4fONOo … | 14 |
| 1640602231115218946 | “I don’t want AI to write the first drafts of my columns. But I’d love it to do my expenses for me” • @sarahoconnor_ We are all secretaries now https://t.co/IyKslialYL … | 13 |
| 1638933982036238337 | @sarahoconnor_ How many consultants does it take to screw in a lightbulb? 3 - Partners 6 - Sr. Managers 9 - Project Managers 24 - Sr. Consultants 57 - Consultants … | 13 |
| 1638944557462069256 | Excellent to see some findings from our @UC_Employers project highlighted in the @FT by the always brilliant @sarahoconnor_, arguing in line with our own recommendations that "forcing the unemployed into … | 11 |
| 1640684562572345344 | Excellent column about automation at work by @sarahoconnor_ : https://t.co/o6YfiXOc4x | 8 |
Top Languages Used
Top 10 Hashtags
| Hashtag | Count |
|---|---|
| #economic | 3 |
| #conditional | 3 |
| #benefits | 3 |
| #basicincome | 3 |
| #generalelectionnow | 1 |
| #terminator | 1 |
Top 10 Mentions
| Mention | Count |
|---|---|
| @sarahoconnor_ | 232 |
| @proftimbale | 20 |
| @financialtimes | 6 |
| @imckenzied | 5 |
| @ft | 5 |
| @oldtrotter | 4 |
| @dorsetrachel | 4 |
| @uc_employers | 4 |
| @gilesyb | 4 |
| @djmgaffneyw4 | 4 |
Wordcloud of Tweets
Emoji Analysis
Average emojis per tweet:
7
Emojis Used
| Emoji | Count | Emoji Text |
|---|---|---|
| 📈 | 3 | chart_increasing |
| 🎩 | 3 | top_hat |
| 🤔 | 3 | thinking_face |
| 👇 | 2 | backhand_index_pointing_down |
| 👀 | 2 | eyes |
| 🤣 | 1 | rolling_on_the_floor_laughing |
| 🥶 | 1 | cold_face |
| 😱 | 1 | face_screaming_in_fear |
| 👏 | 1 | clapping_hands |
Emoji Groups
| Emoji Group | Count |
|---|---|
| Objects | 6 |
| Smileys & Emotion | 6 |
| People & Body | 5 |
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