SlideShare a Scribd company logo
1 of 28
UK Labour Party
September 2016 Analysis
Methodology
Study Parameters
Date Range: 01 January 2013 to 28 October 2016
Posts Originating From: United Kingdom only
Social Media Platform: Twitter only
Isolation of Relevant Data
We created 449 search terms including permutations of the party name, Labour Leadership since 1906
and all sitting Labour MPs as well as trending hashtags associated with the UK Labour party.
This method identified 31,433,112 posts that match the search parameters.
Categorisation of Data
By manually training a learning algorithm we have categorised each piece of data into 7 categories and
organised them into two groups:
conversation about the Labour party specifically
- party negative, party positive, party neutral, party messaging
conversation about Labour politicians and MPs
- politician positive, politician negative, politician neutral
Overview - 2016 Year to Date
Year to date (1 Jan to 28 Oct) we have isolated 13,884,522 posts related to the UK Labour party,
originating from within the United Kingdom.
This is a 45.2% increase in volume compared to the same time period in 2015.
01 Jan to 28 Oct ‘15 : 9,562,497
Over the 10 month study period we observed a 182% increase in relevant post volume.
The last five months produced an almost 2.5 fold increase in volume of posts over the first five.
1 Jan to 31 May: 4,021,912 - 1 June to 28 October: 9,831,976
8 out of 10 posts relating to UK Labour focused on MP’s or politicians - the remaining 18% related to the
UK Labour Party, its leadership in general, policies, members etc.
Year to date, this conversation had a reach of 72,387,000,000 potential impressions.
Overview - 2016 Year to Date
The significant growth in volume when comparing
the first 5 months with the last 5 months can be
ascribed to the referendum and party instability
leading to a leadership challenge.
1 Jan to 31 May: 4,021,912
1 June to 28 October: 9,831,976
Outline - September 2016
Overview : The overview is a snapshot of the total conversation throughout the month of September 2016.
This includes a timeline of volume, from which we can determine whether conversation has increased,
decreased or stagnated. We can also pull summaries of the most commonly discussed topics.
Categorisation : We have classified each piece of data into 7 categories, organised into two groups -
conversation about the party as a whole (party negative, party positive, party neutral, party messaging);
conversation about politicians (politician positive, politician negative, politician neutral). This allows us to
dissect the conversation in a granular and pragmatic way.
Demographics : Through powerful algorithms we are able to identify certain demographics, like age and
gender, of a large portion of the contributors. We can also establish the location of the majority of authors
irrespective of whether they have enabled geo-tagging.
Twitter Metrics : Here we take a deeper look at important metrics such as top hashtags, top retweets &
top mentions, as well as most prolific authors and a calculation of total potential impressions.
Top Retweets : We have identified the top 3 reTweets for September 2016 where the original content was
not created by the party, a politician or a Labour affiliated personality. We have also included some
additional information regarding the authors as well as links to other platforms on which they have
published content. (Facebook, Vine, Blogs, Books, News sites etc.)
Overview - September 2016
Highest Volume Day:
24 September : 9.32% of total
Lowest Volume Day:
30 September : 1.78% of total
We have isolated and analysed 1,555,281 posts from the
UK for the month of September 2016.
Over the course of the month, we can see a 59% increase
in volume of Tweets relevant to the Labour Party.
This is largely due to the leadership vote, lead up and
aftermath, and the announcement on the 24th.
Categorisation - September 2016
04 September
Politicians Negative 24 September
Politicians Positive
Demographic Metrics - September 2016
Greater London
32.88%
North West
12.21%
Yorkshire and the Humber
9.84%
South East
9.15%
South West
6.48%
West Midlands
6.12%
East
5.99%
East Midlands
3.89%
South Western
3.72%
Eastern
2.51%
North East
63.23% of posts had an identifiable
location on a regional level.
65% of posts had an identifiable gender
24% of posts had an identifiable gender
>1% <1%
6%
92%
33% of the UK Labour
conversation was
contributed by women.
This is lower than the
average UK conversation
over the same period
(46% female, 54% male).
Twitter Metrics - September 2016
Top Hashtags
Top Mentions
Most Prolific Authors
10.46 billion Potential Impressions
Top Retweets - September 2016
Independent journalist
Co-founder & editor-in-Chief of The Canary
(@thecanarysays; Thecanary.co)
“The team at The Canary believe a free, fair and fearless media
is the bedrock of a functioning democracy, because for
democracy to work, it requires informed consent from its
citizens. We intend to help generate that informed consent by
providing our readers with high-quality, well-researched and
incisive journalism that holds power to account.” - The Canary
Author of the blog Scriptonite Daily
Author of Austerity: Demolition of the Welfare State
and the Rise of the Zombie Economy.
Contributing author to:
News Internationalist
Open Democracy
Occupy News Network
Top Retweets - September 2016
Actor, Comedian, Writer
Creative Director at ThatLot
Vine: David Schneider
Website: DavidSchneider.co.uk
LinkedIn : David Schneider
Top Retweets - September 2016
Satirical Character
Official Website: gin-oclock.com
Facebook Account: Royal Gin O’Clock
Author of: Gin O’Clock & Still Reigning
1.37m Twitter followers
1 to 7 September 2016 - Overview
Topic Breakdown
Labour
28%
Jeremy Corbyn
24%
Keith Vaz
19%
Owen Smith
9%
Vote
7%
UKLabour
6%
Labour Leadership
3%
Sadiq Khan
3%
332,123 Relevant Posts
26% Increase in Relevant Post
Category Breakdown
Politicians : 90% of total posts
Party : 10% of total posts
⅔ Tweets about Labour politicians
were negative
Volume Timeline by Category
Volume Timeline
Highest single day:
4 Sep with 20.51% of the total
Highest peak: 4 Sep with
63,659 posts negatively
referencing politicians, in
particular Keith Vaz.
1 to 7 September 2016 - Topics
1 to 7 September 2016 - Summary
332,123 Relevant posts were analysed.
The single day with the highest volume was 4 Sep with 20.51% of the total.
A 26% increase in relevant post was recorded over the course of the 7 day period.
Only 10% of the total posts were uniquely related to Labour as a party as opposed to 90% related to or
referencing Labour MP’s or leaders. 2 out of every 3 Tweets about Labour politicians were negative.
Posts that negatively reference Labour politicians created the highest peak in category comparison -
63,659 posts on 4 September. This was almost exclusively related to Keith Vaz.
Of all the relevant posts, 19% mentioned Keith Vaz (tabloid expose), 3% mention Sadiq Khan (Fabric
nightclub closure), 9% mentioned Owen Smith (Leadership contest) and 28% mentioned Jeremy
Corbyn (myriad of topics).
8 to 14 September - Overview
301,974 Relevant Posts
16% Decrease in Relevant Post
Category Breakdown
86% Politicians
14% Party
48.84% of Tweets about Labour
politicians were negative, 38.37%
were positive.
Topic Breakdown
Labour
30%
Jeremy Corbyn
28%
Owen Smith
15%
Labour Party
10%
UK Labour
8%
Grammar Schools
5%
Labour Leadership
4%
Emily Thornberry
4%
Volume Timeline by Category
Volume Timeline
Highest single day:
8 Sep with 19.99% of the total
Highest peak: 11 Sep with 21,870 posts negatively
referencing politicians.
8 to 14 September - Topics
8 to 14 September - Summary
301,974 Relevant posts were analysed.
The single day with the highest volume was 8 Sep with 19.99% of the total.
A 16% decrease in relevant post was recorded over the course of the 7 day period.
Only 14% of the total posts were uniquely related to Labour as a party as opposed to 86% related to or
referencing Labour MP’s or leaders. 48.84% Tweets about Labour politicians were negative, 38.37%
were positive.
Posts that negatively reference Labour politicians created the highest peak in category comparison -
21,870 posts on 11 September. There was statistically significant mention of Owen Smith, but the
overwhelming majority of posts related to Keith Vaz.
Of all the relevant posts, 15% mentioned Owen Smith (Leadership debate) and 28% mentioned Jeremy
Corbyn (Debate, grammar schools, climate change etc). Emily Thornberry (Murnaghan's “French
Minister” question) and Keith Vaz (revelations and resignation) garner a fair number of mentions at 4%
and 3% respectively. Grammar Schools (5%) was the only topical public-affairs issue.
dayvidart.com
15 to 21 September - Overview
311,178 Relevant Posts
6% Decrease in Relevant Post
Category Breakdown
83% Politicians
17% Party
45.78% of Tweets about Labour
politicians were negative, 43.37%
were positive.
Topic Breakdown
Jeremy Corbyn
26%
Labour Party
14%
UK Labour
7%
Owen Smith
6%
Labour Leadership
5%
Sadiq Khan
5%
Labour MPs
4%
John McDonnell
4%
Labour Members
Volume Timeline by Category
Volume Timeline
Highest single day: 15 Sep with 16.63% of the total
Lowest single day: 17 Sep with 11.94% of the total
Only 2.05% of the total relevant posts on 17 September
were positively referencing the Labour Party.
15 to 21 September - Topics
15 to 21 September - Summary
311,178 Relevant posts were analysed.
Daily volumes were remarkably stable : The highest volume day was 15 Sep with 16.63%, the lowest
volume day was 17 Sep with 11.94% of the total.
A 6% decrease in relevant post was recorded over the course of the 7 day period.
17% of the total posts were uniquely related to Labour as a party, a significant 70% increase from week 1
(1-7 September). 83% related to or referencing Labour MP’s or leaders.
45.78% Tweets about Labour politicians were negative, 43.37% were positive.
John McDonnel’s appearance on BBC Question Time was mentioned in 4% of all relevant posts, while
Sadiq Khan was mentioned in 5% of posts.Mention of Owen Smith was reasonable stable throughout the
week however, the 6% of relevant posts mentioning Owen were almost exclusively negative.
Jeremy Corbyn was top of mind for the authors of 26% of the posts, down slightly from previous weeks
however still higher that the total number of posts mentioning Labour Party, UK Labour OR Labour
Leadership - the three most prolific, Labour party-related, topics.
22 to 29 September - Overview
541,701 Relevant Posts
40% Increase in Relevant Post
Category Breakdown
78% Politicians
24% Party
51.32% of Tweets about Labour
politicians were positive, 35.53%
were negative.
45.38% of Tweets the Labour Party
were positive, .12.5% were positive.
Topic Breakdown
Labour
30%
Jeremy Corbyn
28%
Owen Smith
15%
Labour Party
10%
UK Labour
8%
Grammar Schools
5%
Labour Leadership
4%
Emily Thornberry
4%
Volume Timeline by Category
Volume Timeline
Highest single day:
24 Sep with 26.75% of the total
Highest peak: 24 Sep with 65,925 posts
positively referencing politicians -
almost exclusively Jeremy Corbyn
22 to 29 September - Topics
22 to 29 September - Summary
541,701 Relevant posts were analysed.
The single day with the highest volume was 24 Sep with 26.75% of the total.
A 40% increase in relevant post was recorded over the course of the 7 day period.
24% of the total posts were uniquely related to Labour as a party, an increase of 7% from the previous 7
day period. 1 (15-21 September). 78% related to or referencing Labour MP’s or leaders.
51.32% Tweets about Labour politicians were positive, 45.38% were negative.
Posts that positively reference Labour politicians created the highest peak in category comparison -
65,925 posts on 24 September. Jeremy Corbyn is, unsurprisingly, the focus of this conversation.
For the first time in the month of September 2016, mentions of Labour (30%) outperform individual
politicians. Jeremy Corbyn was mentioned in 28% of relevant posts, as was Owen Smith in 15%. Labour
Party (10%) and UK Labour (8%) round out the top 5 most mentions topics.
END
Extra, extra!
Bits that didn’t quite make it.
Uk Labour Party - September 2016 Analysis
Uk Labour Party - September 2016 Analysis

More Related Content

Viewers also liked

10 diseña un cambio para un pueblo mejor
10 diseña un cambio para un pueblo mejor10 diseña un cambio para un pueblo mejor
10 diseña un cambio para un pueblo mejordec-admin
 
Riesgos de la información electrónica
Riesgos de la información electrónicaRiesgos de la información electrónica
Riesgos de la información electrónicasanlgp
 
Diagnóstico Intraempreendedorismo
Diagnóstico IntraempreendedorismoDiagnóstico Intraempreendedorismo
Diagnóstico IntraempreendedorismoEASE Brasil
 
8 actividad 8 taller práctico 10 claves para la implementación de tendencias ...
8 actividad 8 taller práctico 10 claves para la implementación de tendencias ...8 actividad 8 taller práctico 10 claves para la implementación de tendencias ...
8 actividad 8 taller práctico 10 claves para la implementación de tendencias ...elena castaño u
 
latest resume & signature
latest resume & signaturelatest resume & signature
latest resume & signatureRahi Talukder
 
GlobalWA Brochure
GlobalWA BrochureGlobalWA Brochure
GlobalWA BrochureSara Atalla
 

Viewers also liked (13)

10 diseña un cambio para un pueblo mejor
10 diseña un cambio para un pueblo mejor10 diseña un cambio para un pueblo mejor
10 diseña un cambio para un pueblo mejor
 
Tecnología celular
Tecnología celular Tecnología celular
Tecnología celular
 
Riesgos de la información electrónica
Riesgos de la información electrónicaRiesgos de la información electrónica
Riesgos de la información electrónica
 
Cat construccion
Cat construccionCat construccion
Cat construccion
 
Diagnóstico Intraempreendedorismo
Diagnóstico IntraempreendedorismoDiagnóstico Intraempreendedorismo
Diagnóstico Intraempreendedorismo
 
SANGWENI S Resume
SANGWENI S ResumeSANGWENI S Resume
SANGWENI S Resume
 
8 actividad 8 taller práctico 10 claves para la implementación de tendencias ...
8 actividad 8 taller práctico 10 claves para la implementación de tendencias ...8 actividad 8 taller práctico 10 claves para la implementación de tendencias ...
8 actividad 8 taller práctico 10 claves para la implementación de tendencias ...
 
latest resume & signature
latest resume & signaturelatest resume & signature
latest resume & signature
 
Sistemas
SistemasSistemas
Sistemas
 
panama1-en
panama1-enpanama1-en
panama1-en
 
ClairedeMortimer-MasterdegreeShowGSA
ClairedeMortimer-MasterdegreeShowGSAClairedeMortimer-MasterdegreeShowGSA
ClairedeMortimer-MasterdegreeShowGSA
 
Unygift catalogo
Unygift  catalogoUnygift  catalogo
Unygift catalogo
 
GlobalWA Brochure
GlobalWA BrochureGlobalWA Brochure
GlobalWA Brochure
 

Similar to Uk Labour Party - September 2016 Analysis

Prime social ministers - David Cameron Analysis
Prime social ministers - David Cameron AnalysisPrime social ministers - David Cameron Analysis
Prime social ministers - David Cameron AnalysisDOING
 
Prime "Social" Ministers - Mariano Rajoy Analysis
Prime "Social" Ministers - Mariano Rajoy AnalysisPrime "Social" Ministers - Mariano Rajoy Analysis
Prime "Social" Ministers - Mariano Rajoy AnalysisDOING
 
Prime "Social" Ministers - Alexis Tsipras Analysis
Prime "Social" Ministers - Alexis Tsipras AnalysisPrime "Social" Ministers - Alexis Tsipras Analysis
Prime "Social" Ministers - Alexis Tsipras AnalysisDOING
 
Ipsos MORI Political Monitor: September 2016
Ipsos MORI Political Monitor: September 2016Ipsos MORI Political Monitor: September 2016
Ipsos MORI Political Monitor: September 2016Ipsos UK
 
Analysing SABC Elections Coverage of the 2016 Local Government Elections
Analysing SABC Elections Coverage of the 2016 Local Government ElectionsAnalysing SABC Elections Coverage of the 2016 Local Government Elections
Analysing SABC Elections Coverage of the 2016 Local Government ElectionsWilliam Bird
 
Analysing SABC Elections Coverage of the 2016 Local Government Elections
Analysing SABC Elections Coverage of the 2016 Local Government ElectionsAnalysing SABC Elections Coverage of the 2016 Local Government Elections
Analysing SABC Elections Coverage of the 2016 Local Government ElectionsWilliam Bird
 
Voting behaviour impact_of_the_media
Voting behaviour impact_of_the_mediaVoting behaviour impact_of_the_media
Voting behaviour impact_of_the_mediachijechemichelle
 
Ged mirfin poitical cv
Ged mirfin poitical cvGed mirfin poitical cv
Ged mirfin poitical cvGed Mirfin
 
Social Media in a Corporate Context 2010 - Ben Lloyd, Echo Research
Social Media in a Corporate Context 2010 - Ben Lloyd, Echo ResearchSocial Media in a Corporate Context 2010 - Ben Lloyd, Echo Research
Social Media in a Corporate Context 2010 - Ben Lloyd, Echo ResearchCommunicate Magazine
 
Prime "Social" Ministers - Angela Merkel Analysis
Prime "Social" Ministers - Angela Merkel AnalysisPrime "Social" Ministers - Angela Merkel Analysis
Prime "Social" Ministers - Angela Merkel AnalysisDOING
 
Ipsos MORI Political Monitor - October 2016
Ipsos MORI Political Monitor - October 2016Ipsos MORI Political Monitor - October 2016
Ipsos MORI Political Monitor - October 2016Ipsos UK
 
Internews Annual Survey: Media Consumption in Ukraine 2016
Internews Annual Survey: Media Consumption in Ukraine 2016Internews Annual Survey: Media Consumption in Ukraine 2016
Internews Annual Survey: Media Consumption in Ukraine 2016DonbassFullAccess
 
USAID U-Media annual media consumption survey 2016 (ENG)
USAID U-Media annual media consumption survey 2016 (ENG)USAID U-Media annual media consumption survey 2016 (ENG)
USAID U-Media annual media consumption survey 2016 (ENG)Irina Negreyeva
 
Write a 2-3 page essay on the health of our democracy using your di.docx
Write a 2-3 page essay on the health of our democracy using your di.docxWrite a 2-3 page essay on the health of our democracy using your di.docx
Write a 2-3 page essay on the health of our democracy using your di.docxlindorffgarrik
 
Prime "Social" Ministers - François Hollande Analysis
Prime "Social" Ministers - François Hollande AnalysisPrime "Social" Ministers - François Hollande Analysis
Prime "Social" Ministers - François Hollande AnalysisDOING
 
The economist (ACADEMIC BRIEF)
The economist (ACADEMIC BRIEF)The economist (ACADEMIC BRIEF)
The economist (ACADEMIC BRIEF)Sam Cheema
 
Social Media Report to ExCom - July 2015
Social Media Report to ExCom - July 2015Social Media Report to ExCom - July 2015
Social Media Report to ExCom - July 2015Timothy Minotas
 
Ausvotes
AusvotesAusvotes
Ausvoteslchu125
 
Cameron And Obama- What the Poll Tea Leaves Show
Cameron And Obama- What the Poll Tea Leaves ShowCameron And Obama- What the Poll Tea Leaves Show
Cameron And Obama- What the Poll Tea Leaves Showcoventryuniversity
 
Campaigning Against UKIP
Campaigning Against UKIPCampaigning Against UKIP
Campaigning Against UKIPMiqui Mel
 

Similar to Uk Labour Party - September 2016 Analysis (20)

Prime social ministers - David Cameron Analysis
Prime social ministers - David Cameron AnalysisPrime social ministers - David Cameron Analysis
Prime social ministers - David Cameron Analysis
 
Prime "Social" Ministers - Mariano Rajoy Analysis
Prime "Social" Ministers - Mariano Rajoy AnalysisPrime "Social" Ministers - Mariano Rajoy Analysis
Prime "Social" Ministers - Mariano Rajoy Analysis
 
Prime "Social" Ministers - Alexis Tsipras Analysis
Prime "Social" Ministers - Alexis Tsipras AnalysisPrime "Social" Ministers - Alexis Tsipras Analysis
Prime "Social" Ministers - Alexis Tsipras Analysis
 
Ipsos MORI Political Monitor: September 2016
Ipsos MORI Political Monitor: September 2016Ipsos MORI Political Monitor: September 2016
Ipsos MORI Political Monitor: September 2016
 
Analysing SABC Elections Coverage of the 2016 Local Government Elections
Analysing SABC Elections Coverage of the 2016 Local Government ElectionsAnalysing SABC Elections Coverage of the 2016 Local Government Elections
Analysing SABC Elections Coverage of the 2016 Local Government Elections
 
Analysing SABC Elections Coverage of the 2016 Local Government Elections
Analysing SABC Elections Coverage of the 2016 Local Government ElectionsAnalysing SABC Elections Coverage of the 2016 Local Government Elections
Analysing SABC Elections Coverage of the 2016 Local Government Elections
 
Voting behaviour impact_of_the_media
Voting behaviour impact_of_the_mediaVoting behaviour impact_of_the_media
Voting behaviour impact_of_the_media
 
Ged mirfin poitical cv
Ged mirfin poitical cvGed mirfin poitical cv
Ged mirfin poitical cv
 
Social Media in a Corporate Context 2010 - Ben Lloyd, Echo Research
Social Media in a Corporate Context 2010 - Ben Lloyd, Echo ResearchSocial Media in a Corporate Context 2010 - Ben Lloyd, Echo Research
Social Media in a Corporate Context 2010 - Ben Lloyd, Echo Research
 
Prime "Social" Ministers - Angela Merkel Analysis
Prime "Social" Ministers - Angela Merkel AnalysisPrime "Social" Ministers - Angela Merkel Analysis
Prime "Social" Ministers - Angela Merkel Analysis
 
Ipsos MORI Political Monitor - October 2016
Ipsos MORI Political Monitor - October 2016Ipsos MORI Political Monitor - October 2016
Ipsos MORI Political Monitor - October 2016
 
Internews Annual Survey: Media Consumption in Ukraine 2016
Internews Annual Survey: Media Consumption in Ukraine 2016Internews Annual Survey: Media Consumption in Ukraine 2016
Internews Annual Survey: Media Consumption in Ukraine 2016
 
USAID U-Media annual media consumption survey 2016 (ENG)
USAID U-Media annual media consumption survey 2016 (ENG)USAID U-Media annual media consumption survey 2016 (ENG)
USAID U-Media annual media consumption survey 2016 (ENG)
 
Write a 2-3 page essay on the health of our democracy using your di.docx
Write a 2-3 page essay on the health of our democracy using your di.docxWrite a 2-3 page essay on the health of our democracy using your di.docx
Write a 2-3 page essay on the health of our democracy using your di.docx
 
Prime "Social" Ministers - François Hollande Analysis
Prime "Social" Ministers - François Hollande AnalysisPrime "Social" Ministers - François Hollande Analysis
Prime "Social" Ministers - François Hollande Analysis
 
The economist (ACADEMIC BRIEF)
The economist (ACADEMIC BRIEF)The economist (ACADEMIC BRIEF)
The economist (ACADEMIC BRIEF)
 
Social Media Report to ExCom - July 2015
Social Media Report to ExCom - July 2015Social Media Report to ExCom - July 2015
Social Media Report to ExCom - July 2015
 
Ausvotes
AusvotesAusvotes
Ausvotes
 
Cameron And Obama- What the Poll Tea Leaves Show
Cameron And Obama- What the Poll Tea Leaves ShowCameron And Obama- What the Poll Tea Leaves Show
Cameron And Obama- What the Poll Tea Leaves Show
 
Campaigning Against UKIP
Campaigning Against UKIPCampaigning Against UKIP
Campaigning Against UKIP
 

Recently uploaded

Beautiful Sapna Vip Call Girls Hauz Khas 9711199012 Call /Whatsapps
Beautiful Sapna Vip  Call Girls Hauz Khas 9711199012 Call /WhatsappsBeautiful Sapna Vip  Call Girls Hauz Khas 9711199012 Call /Whatsapps
Beautiful Sapna Vip Call Girls Hauz Khas 9711199012 Call /Whatsappssapnasaifi408
 
{Pooja: 9892124323 } Call Girl in Mumbai | Jas Kaur Rate 4500 Free Hotel Del...
{Pooja:  9892124323 } Call Girl in Mumbai | Jas Kaur Rate 4500 Free Hotel Del...{Pooja:  9892124323 } Call Girl in Mumbai | Jas Kaur Rate 4500 Free Hotel Del...
{Pooja: 9892124323 } Call Girl in Mumbai | Jas Kaur Rate 4500 Free Hotel Del...Pooja Nehwal
 
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝soniya singh
 
Call Girls In Mahipalpur O9654467111 Escorts Service
Call Girls In Mahipalpur O9654467111  Escorts ServiceCall Girls In Mahipalpur O9654467111  Escorts Service
Call Girls In Mahipalpur O9654467111 Escorts ServiceSapana Sha
 
Industrialised data - the key to AI success.pdf
Industrialised data - the key to AI success.pdfIndustrialised data - the key to AI success.pdf
Industrialised data - the key to AI success.pdfLars Albertsson
 
VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...
VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...
VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...Suhani Kapoor
 
Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)
Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)
Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)jennyeacort
 
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Callshivangimorya083
 
20240419 - Measurecamp Amsterdam - SAM.pdf
20240419 - Measurecamp Amsterdam - SAM.pdf20240419 - Measurecamp Amsterdam - SAM.pdf
20240419 - Measurecamp Amsterdam - SAM.pdfHuman37
 
DBA Basics: Getting Started with Performance Tuning.pdf
DBA Basics: Getting Started with Performance Tuning.pdfDBA Basics: Getting Started with Performance Tuning.pdf
DBA Basics: Getting Started with Performance Tuning.pdfJohn Sterrett
 
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...Jack DiGiovanna
 
RadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdfRadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdfgstagge
 
Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...
Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...
Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...Sapana Sha
 
Schema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfSchema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfLars Albertsson
 
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130Suhani Kapoor
 
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPramod Kumar Srivastava
 
9654467111 Call Girls In Munirka Hotel And Home Service
9654467111 Call Girls In Munirka Hotel And Home Service9654467111 Call Girls In Munirka Hotel And Home Service
9654467111 Call Girls In Munirka Hotel And Home ServiceSapana Sha
 
GA4 Without Cookies [Measure Camp AMS]
GA4 Without Cookies [Measure Camp AMS]GA4 Without Cookies [Measure Camp AMS]
GA4 Without Cookies [Measure Camp AMS]📊 Markus Baersch
 
Customer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptxCustomer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptxEmmanuel Dauda
 

Recently uploaded (20)

Beautiful Sapna Vip Call Girls Hauz Khas 9711199012 Call /Whatsapps
Beautiful Sapna Vip  Call Girls Hauz Khas 9711199012 Call /WhatsappsBeautiful Sapna Vip  Call Girls Hauz Khas 9711199012 Call /Whatsapps
Beautiful Sapna Vip Call Girls Hauz Khas 9711199012 Call /Whatsapps
 
{Pooja: 9892124323 } Call Girl in Mumbai | Jas Kaur Rate 4500 Free Hotel Del...
{Pooja:  9892124323 } Call Girl in Mumbai | Jas Kaur Rate 4500 Free Hotel Del...{Pooja:  9892124323 } Call Girl in Mumbai | Jas Kaur Rate 4500 Free Hotel Del...
{Pooja: 9892124323 } Call Girl in Mumbai | Jas Kaur Rate 4500 Free Hotel Del...
 
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
 
Call Girls In Mahipalpur O9654467111 Escorts Service
Call Girls In Mahipalpur O9654467111  Escorts ServiceCall Girls In Mahipalpur O9654467111  Escorts Service
Call Girls In Mahipalpur O9654467111 Escorts Service
 
Industrialised data - the key to AI success.pdf
Industrialised data - the key to AI success.pdfIndustrialised data - the key to AI success.pdf
Industrialised data - the key to AI success.pdf
 
VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...
VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...
VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...
 
Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)
Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)
Call Us ➥97111√47426🤳Call Girls in Aerocity (Delhi NCR)
 
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call
 
20240419 - Measurecamp Amsterdam - SAM.pdf
20240419 - Measurecamp Amsterdam - SAM.pdf20240419 - Measurecamp Amsterdam - SAM.pdf
20240419 - Measurecamp Amsterdam - SAM.pdf
 
DBA Basics: Getting Started with Performance Tuning.pdf
DBA Basics: Getting Started with Performance Tuning.pdfDBA Basics: Getting Started with Performance Tuning.pdf
DBA Basics: Getting Started with Performance Tuning.pdf
 
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
Building on a FAIRly Strong Foundation to Connect Academic Research to Transl...
 
RadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdfRadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdf
 
Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...
Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...
Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...
 
E-Commerce Order PredictionShraddha Kamble.pptx
E-Commerce Order PredictionShraddha Kamble.pptxE-Commerce Order PredictionShraddha Kamble.pptx
E-Commerce Order PredictionShraddha Kamble.pptx
 
Schema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfSchema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdf
 
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
 
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
 
9654467111 Call Girls In Munirka Hotel And Home Service
9654467111 Call Girls In Munirka Hotel And Home Service9654467111 Call Girls In Munirka Hotel And Home Service
9654467111 Call Girls In Munirka Hotel And Home Service
 
GA4 Without Cookies [Measure Camp AMS]
GA4 Without Cookies [Measure Camp AMS]GA4 Without Cookies [Measure Camp AMS]
GA4 Without Cookies [Measure Camp AMS]
 
Customer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptxCustomer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptx
 

Uk Labour Party - September 2016 Analysis

  • 2. Methodology Study Parameters Date Range: 01 January 2013 to 28 October 2016 Posts Originating From: United Kingdom only Social Media Platform: Twitter only Isolation of Relevant Data We created 449 search terms including permutations of the party name, Labour Leadership since 1906 and all sitting Labour MPs as well as trending hashtags associated with the UK Labour party. This method identified 31,433,112 posts that match the search parameters. Categorisation of Data By manually training a learning algorithm we have categorised each piece of data into 7 categories and organised them into two groups: conversation about the Labour party specifically - party negative, party positive, party neutral, party messaging conversation about Labour politicians and MPs - politician positive, politician negative, politician neutral
  • 3. Overview - 2016 Year to Date Year to date (1 Jan to 28 Oct) we have isolated 13,884,522 posts related to the UK Labour party, originating from within the United Kingdom. This is a 45.2% increase in volume compared to the same time period in 2015. 01 Jan to 28 Oct ‘15 : 9,562,497 Over the 10 month study period we observed a 182% increase in relevant post volume. The last five months produced an almost 2.5 fold increase in volume of posts over the first five. 1 Jan to 31 May: 4,021,912 - 1 June to 28 October: 9,831,976 8 out of 10 posts relating to UK Labour focused on MP’s or politicians - the remaining 18% related to the UK Labour Party, its leadership in general, policies, members etc. Year to date, this conversation had a reach of 72,387,000,000 potential impressions.
  • 4. Overview - 2016 Year to Date The significant growth in volume when comparing the first 5 months with the last 5 months can be ascribed to the referendum and party instability leading to a leadership challenge. 1 Jan to 31 May: 4,021,912 1 June to 28 October: 9,831,976
  • 5. Outline - September 2016 Overview : The overview is a snapshot of the total conversation throughout the month of September 2016. This includes a timeline of volume, from which we can determine whether conversation has increased, decreased or stagnated. We can also pull summaries of the most commonly discussed topics. Categorisation : We have classified each piece of data into 7 categories, organised into two groups - conversation about the party as a whole (party negative, party positive, party neutral, party messaging); conversation about politicians (politician positive, politician negative, politician neutral). This allows us to dissect the conversation in a granular and pragmatic way. Demographics : Through powerful algorithms we are able to identify certain demographics, like age and gender, of a large portion of the contributors. We can also establish the location of the majority of authors irrespective of whether they have enabled geo-tagging. Twitter Metrics : Here we take a deeper look at important metrics such as top hashtags, top retweets & top mentions, as well as most prolific authors and a calculation of total potential impressions. Top Retweets : We have identified the top 3 reTweets for September 2016 where the original content was not created by the party, a politician or a Labour affiliated personality. We have also included some additional information regarding the authors as well as links to other platforms on which they have published content. (Facebook, Vine, Blogs, Books, News sites etc.)
  • 6. Overview - September 2016 Highest Volume Day: 24 September : 9.32% of total Lowest Volume Day: 30 September : 1.78% of total We have isolated and analysed 1,555,281 posts from the UK for the month of September 2016. Over the course of the month, we can see a 59% increase in volume of Tweets relevant to the Labour Party. This is largely due to the leadership vote, lead up and aftermath, and the announcement on the 24th.
  • 7. Categorisation - September 2016 04 September Politicians Negative 24 September Politicians Positive
  • 8. Demographic Metrics - September 2016 Greater London 32.88% North West 12.21% Yorkshire and the Humber 9.84% South East 9.15% South West 6.48% West Midlands 6.12% East 5.99% East Midlands 3.89% South Western 3.72% Eastern 2.51% North East 63.23% of posts had an identifiable location on a regional level. 65% of posts had an identifiable gender 24% of posts had an identifiable gender >1% <1% 6% 92% 33% of the UK Labour conversation was contributed by women. This is lower than the average UK conversation over the same period (46% female, 54% male).
  • 9. Twitter Metrics - September 2016 Top Hashtags Top Mentions Most Prolific Authors 10.46 billion Potential Impressions
  • 10. Top Retweets - September 2016 Independent journalist Co-founder & editor-in-Chief of The Canary (@thecanarysays; Thecanary.co) “The team at The Canary believe a free, fair and fearless media is the bedrock of a functioning democracy, because for democracy to work, it requires informed consent from its citizens. We intend to help generate that informed consent by providing our readers with high-quality, well-researched and incisive journalism that holds power to account.” - The Canary Author of the blog Scriptonite Daily Author of Austerity: Demolition of the Welfare State and the Rise of the Zombie Economy. Contributing author to: News Internationalist Open Democracy Occupy News Network
  • 11. Top Retweets - September 2016 Actor, Comedian, Writer Creative Director at ThatLot Vine: David Schneider Website: DavidSchneider.co.uk LinkedIn : David Schneider
  • 12. Top Retweets - September 2016 Satirical Character Official Website: gin-oclock.com Facebook Account: Royal Gin O’Clock Author of: Gin O’Clock & Still Reigning 1.37m Twitter followers
  • 13. 1 to 7 September 2016 - Overview Topic Breakdown Labour 28% Jeremy Corbyn 24% Keith Vaz 19% Owen Smith 9% Vote 7% UKLabour 6% Labour Leadership 3% Sadiq Khan 3% 332,123 Relevant Posts 26% Increase in Relevant Post Category Breakdown Politicians : 90% of total posts Party : 10% of total posts ⅔ Tweets about Labour politicians were negative Volume Timeline by Category Volume Timeline Highest single day: 4 Sep with 20.51% of the total Highest peak: 4 Sep with 63,659 posts negatively referencing politicians, in particular Keith Vaz.
  • 14. 1 to 7 September 2016 - Topics
  • 15. 1 to 7 September 2016 - Summary 332,123 Relevant posts were analysed. The single day with the highest volume was 4 Sep with 20.51% of the total. A 26% increase in relevant post was recorded over the course of the 7 day period. Only 10% of the total posts were uniquely related to Labour as a party as opposed to 90% related to or referencing Labour MP’s or leaders. 2 out of every 3 Tweets about Labour politicians were negative. Posts that negatively reference Labour politicians created the highest peak in category comparison - 63,659 posts on 4 September. This was almost exclusively related to Keith Vaz. Of all the relevant posts, 19% mentioned Keith Vaz (tabloid expose), 3% mention Sadiq Khan (Fabric nightclub closure), 9% mentioned Owen Smith (Leadership contest) and 28% mentioned Jeremy Corbyn (myriad of topics).
  • 16. 8 to 14 September - Overview 301,974 Relevant Posts 16% Decrease in Relevant Post Category Breakdown 86% Politicians 14% Party 48.84% of Tweets about Labour politicians were negative, 38.37% were positive. Topic Breakdown Labour 30% Jeremy Corbyn 28% Owen Smith 15% Labour Party 10% UK Labour 8% Grammar Schools 5% Labour Leadership 4% Emily Thornberry 4% Volume Timeline by Category Volume Timeline Highest single day: 8 Sep with 19.99% of the total Highest peak: 11 Sep with 21,870 posts negatively referencing politicians.
  • 17. 8 to 14 September - Topics
  • 18. 8 to 14 September - Summary 301,974 Relevant posts were analysed. The single day with the highest volume was 8 Sep with 19.99% of the total. A 16% decrease in relevant post was recorded over the course of the 7 day period. Only 14% of the total posts were uniquely related to Labour as a party as opposed to 86% related to or referencing Labour MP’s or leaders. 48.84% Tweets about Labour politicians were negative, 38.37% were positive. Posts that negatively reference Labour politicians created the highest peak in category comparison - 21,870 posts on 11 September. There was statistically significant mention of Owen Smith, but the overwhelming majority of posts related to Keith Vaz. Of all the relevant posts, 15% mentioned Owen Smith (Leadership debate) and 28% mentioned Jeremy Corbyn (Debate, grammar schools, climate change etc). Emily Thornberry (Murnaghan's “French Minister” question) and Keith Vaz (revelations and resignation) garner a fair number of mentions at 4% and 3% respectively. Grammar Schools (5%) was the only topical public-affairs issue. dayvidart.com
  • 19. 15 to 21 September - Overview 311,178 Relevant Posts 6% Decrease in Relevant Post Category Breakdown 83% Politicians 17% Party 45.78% of Tweets about Labour politicians were negative, 43.37% were positive. Topic Breakdown Jeremy Corbyn 26% Labour Party 14% UK Labour 7% Owen Smith 6% Labour Leadership 5% Sadiq Khan 5% Labour MPs 4% John McDonnell 4% Labour Members Volume Timeline by Category Volume Timeline Highest single day: 15 Sep with 16.63% of the total Lowest single day: 17 Sep with 11.94% of the total Only 2.05% of the total relevant posts on 17 September were positively referencing the Labour Party.
  • 20. 15 to 21 September - Topics
  • 21. 15 to 21 September - Summary 311,178 Relevant posts were analysed. Daily volumes were remarkably stable : The highest volume day was 15 Sep with 16.63%, the lowest volume day was 17 Sep with 11.94% of the total. A 6% decrease in relevant post was recorded over the course of the 7 day period. 17% of the total posts were uniquely related to Labour as a party, a significant 70% increase from week 1 (1-7 September). 83% related to or referencing Labour MP’s or leaders. 45.78% Tweets about Labour politicians were negative, 43.37% were positive. John McDonnel’s appearance on BBC Question Time was mentioned in 4% of all relevant posts, while Sadiq Khan was mentioned in 5% of posts.Mention of Owen Smith was reasonable stable throughout the week however, the 6% of relevant posts mentioning Owen were almost exclusively negative. Jeremy Corbyn was top of mind for the authors of 26% of the posts, down slightly from previous weeks however still higher that the total number of posts mentioning Labour Party, UK Labour OR Labour Leadership - the three most prolific, Labour party-related, topics.
  • 22. 22 to 29 September - Overview 541,701 Relevant Posts 40% Increase in Relevant Post Category Breakdown 78% Politicians 24% Party 51.32% of Tweets about Labour politicians were positive, 35.53% were negative. 45.38% of Tweets the Labour Party were positive, .12.5% were positive. Topic Breakdown Labour 30% Jeremy Corbyn 28% Owen Smith 15% Labour Party 10% UK Labour 8% Grammar Schools 5% Labour Leadership 4% Emily Thornberry 4% Volume Timeline by Category Volume Timeline Highest single day: 24 Sep with 26.75% of the total Highest peak: 24 Sep with 65,925 posts positively referencing politicians - almost exclusively Jeremy Corbyn
  • 23. 22 to 29 September - Topics
  • 24. 22 to 29 September - Summary 541,701 Relevant posts were analysed. The single day with the highest volume was 24 Sep with 26.75% of the total. A 40% increase in relevant post was recorded over the course of the 7 day period. 24% of the total posts were uniquely related to Labour as a party, an increase of 7% from the previous 7 day period. 1 (15-21 September). 78% related to or referencing Labour MP’s or leaders. 51.32% Tweets about Labour politicians were positive, 45.38% were negative. Posts that positively reference Labour politicians created the highest peak in category comparison - 65,925 posts on 24 September. Jeremy Corbyn is, unsurprisingly, the focus of this conversation. For the first time in the month of September 2016, mentions of Labour (30%) outperform individual politicians. Jeremy Corbyn was mentioned in 28% of relevant posts, as was Owen Smith in 15%. Labour Party (10%) and UK Labour (8%) round out the top 5 most mentions topics.
  • 25. END
  • 26. Extra, extra! Bits that didn’t quite make it.