Tuesday, 31 May 2016

Other Analytics

Other Analytics


Twitter 



Curator


Search  

Terms


Topic


Authors


Statistics

Tweet per minute

Volume over 24hr Timeframe





Filter Variables


User Profile

Author

User Analytics

Influence
Location
Verified User
Zip Code

Tweet

DMA
Favourite Count
Has Animated gif
Has link
Has Image
Has media
Has Video
Has Vine
Language
Reply
Retweet
Retweet count
Sensitive or offensive content
Sentiment






TweetDeck



Variables


GNIP


Availability

Variables



Functionality



Blog of Data Analysis


Quiz


Dashboard

Dashboards for each individual of Opinion, Polls, Comments, Statistics, Datasets and Questions to Ask

Twitter Performance Analytics

Tweets analysis

Numbers of Retweets
Numbers of supports


Variables
 
User
   Age
   Gender
   Day
   Time
   Location
   Demographic
   Amount of followers
   Amount following
   Whether following the campaign id
   Whether following to leave campaigns
 


Variations

Tweet

   Number of tweet in Hour or day
   Average length of tweet
   Amount of facts in tweet
   Amount of Statistics in tweet
   Amount of sentences in tweet
   Topic of tweet
   Length of words in the tweets
   The level of language in tweets
   The amount of cultural or other references in tweet
   Uniqueness of tweet
   Similarity to key one liners of campaign
   The amount of times repeated in hour or day
   The time since last repeat
   
   


Expectation

    Success of tweet due to ability to engage with length of tweet given available time i.e. Short view around someone's break should be a short tweet.

   

Products

How much other member states tweet about EU Referendum etc

When most tweeting is done

Who are the most tweeters

The average amount of tweets on either side








Fact Checking


Claim                                                              Counter Claim


Dataset

 Dataset 1
 Dataset 2

Full Fact


Opinion of Claim


Similar Claim



Visualisation

Graph of similarity

Graph of certianty

Graph of re structured claims

Graph of previous claims


Process of change of claim over time

Change in statistic i.e. the variation of significance



Demographic appealing to


Age


Gender


Social Economic Status


Opinion on EU Referendum


Location


Estimated Party supporter


Job Role


Pass Time


Estate Ownership


Nationality


Ancestry


Nomadic approach


Political Engagement and knowledge














Monday, 30 May 2016

Opinion

Help to iron out some of our flaws which we are so good at ignoring


Some of the approach to political issues in other European countries is obtuse to our understand and has many idoscracies which should be held back when developing a union of member states which collaborate very closely.


Sway Factors

Sway factors




UK citizens abroad estimated at around 2.2 million -  Mainly to remain

EU citizens in UK whether or not have the vote estimate at around 2 million - Mainly to remain

Millennial not turning out to vote - Mainly to remain

Older generation and long term retired high turn out - Mainly to leave




The amount campaigning limits on each campaigning organisation to sway opinion on arguments. - either remain or to leave.

The agenda of specific figures or movements to decide reform agenda. - either remain or to leave.










Other Factsheets

BBC
http://www.bbc.co.uk/news/live/uk-politics-eu-referendum-35603388


Channel 4

http://blogs.channel4.com/factcheck/




European Parliament

http://www.europarl.europa.eu/atyourservice/en/displayFtu.html



Civitas

http://civitas.org.uk/content/files/EUreferendum.pdf



Full Fact
https://fullfact.org/europe/


Friday, 27 May 2016

Stronger In Debate Dorking

Meeting chaired by Barney Jones (Britain Stronger In Europe)

Speakers:
Sir Paul Beresford, Mole Valley MP 
Antony Hook, Barrister
Jonathan Essex, County Councillor