Tevizz - Partis belges en ligne - Analyse #be2505 #cafenlg

Preview:

Citation preview

THE VOICE OF CITIZENS ON SOCIAL NETWORKS

Di

100,000 MESSAGES

(17/02/2014-08/03/2014)

2014

ALL RIGHTS TEVIZZ 2014. THIS PRESENTATION IS PROPRIETARY AND STRICTLY CONFIDENTIAL

230,000 TWEETS FROM 15/02/2014 TO 20/04/2014

didier.joos@tevizz.com

HOW COULD YOU ESTIMATE THE RELATIVE GDPs OF 100

COUNTRIES IN WITH NO OFFICIAL ECONOMICS DATA?

BURGERNOMICS

Source : IMF (2011)

BIG MAC PRICE V GDP)

GDP BIGMAC PRICE 34,000 Restaurant

BURGERNOMICS TO TWITTERNOMICS

Source : IMF (2011)

BIG MAC PRICE V GDP (AND EXCHANGE RATES) MENTIONS ON TWITTER V INTENTIONS OF VOTE

GDP ELECTION RESULTS

% Intention of votes for parties **

*Data collected by TEVIZZ between 15/02/2014 and 20/04/2014 (320,703 mentions, 42,354 users) **Poll by Dedicated in 3 regions based on 2767 internet interviews 08/04/2014 and 14/04.2014. Total % are computed by TEVIZZ based on intentions on vote by regions (Flanders, Wallonia, Brussels) from Dedicated poll weighted by number of citizens by region.

PS

NV-A

Open VLD

PDVA-PTB

CD&V

MR SP.A

CDH

Ecolo

% Mentions of parties on Twitter*

ALL RIGHTS TEVIZZ 2014. THIS PRESENTATION IS PROPRIETARY AND STRICTLY CONFIDENTIAL

VB

GROEN

R² = 0,8183

0%

5%

10%

15%

20%

25%

0% 5% 10% 15% 20% 25%

FDF

Parties and Twitter mentions

IT WORKS IN COUNTRIES WITH LOW PENETRATION OF TWITTER

Results of German election 2009 and Twitter’s mentions by parties

SOURCE: Andranik Tumasjan Philipp G. Sandner Isabell M. Welpe “Election Forecasts With Twitter: How 140 Characters Reflect the Political Landscape“ 2012

% Favourable opinion about candidates (IPSOS) **

*Data collected by TEVIZZ between 15/02/2014 and 20/04/2014 (320,703 mentions, 42,354 users) **Poll by IPSOS in 3 regions with sample of 2767 (6 to 10 February 2014) . Total % are computed by TEVIZZ based on intentions on vote by regions (Flanders, Wallonia, Brussels) from IPSOS poll weighted by number of citizens by region.

Verhofstadt Di Rupo

De Wever

Peeters

De Blok

% Mentions of parties on Twitter*

ALL RIGHTS TEVIZZ 2014. THIS PRESENTATION IS PROPRIETARY AND STRICTLY CONFIDENTIAL

Maingain

Candidates and Twitter mentions

R² = 0,8357

0

5000

10000

15000

20000

25000

0% 10% 20% 30% 40% 50% 60%

De Wever

Lutgen

Milquet

% Mentions of parties on Twitter*

ALL RIGHTS TEVIZZ 2014. THIS PRESENTATION IS PROPRIETARY AND STRICTLY CONFIDENTIAL

Vande Lanotte

Maingain

Toback

De Block

*Data collected by TEVIZZ between 15/02/2014 and 20/04/2014 (320,703 mentions, 42,354 users) **Poll by IPSOS in 3 regions with sample of 2767 (6 to 10 February 2014) . Total % are computed by TEVIZZ based on intentions on vote by regions (Flanders, Wallonia, Brussels) from IPSOS poll weighted by number of citizens by region.

Excluding candidates not usingTwitter

#Candidates and Twitter mentions

% Favourable opinion about candidates (IPSOS) **

« There is no such a thing as bad publicity (except for your

obituary) » (B. Behan) (No need to neutralize bias :

positive/neutral/negative opinion, ultras , demographics, …)

TODAY’S POPULARITY CIRCLE

POPULARITY BUZZ

MEDIA HEADLINES

SEARCH & FIND SHARE

Google search and Twitter’s mentions of « Gangnam Style »

Source : Ayman Farahat & Bongwon Suh ( Adobe Systems) “Do we search on what we tweet or tweet on what we search?”, 2012