Food and CultureCSS @GESIS

Claudia Wagner

GESIS & University of Koblenz6nd Nov 2014, Yahoo Labs, Spain

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Survey Design andMethodology

Computer Science and Information

Science

Research and Services at GESIS

Raise the standards of surveys at all phases of the survey life cycle

Gender studies, Political science (e.g., GLES), Values and Attitudesresearch (e.g. ALLBUS), ...

Knowledge Discovery, Information Retrieval, Information Extraction, …

Social Science Research

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ComputationalSocial Science

CSS Agenda @GESIS

Support traditional Social Science research with computational methods and tools

Develop new instruments to tap into the potential of found data and crowds building a telescope for the Social Sciences

Online impacts offline! Build new algorithms and tools to shift the current configurations of societies towards better futures.

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PAST

PRESENT

FUTURE

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Food

Data

• Ichkoche.at~ 470k Unique Users

~1 Mil. Page Impressions per week

• Kochbar.de– 2,27 Mil. Unique User in July 2014

– 1.29 million Visits (12.1 Mio. PI) in December 2008

• Chefkoch.de – 11,05 Mil. Unique User in July 2014

– 28 Mio. Visits and 242 Mio. PI in December 2010

6Sources: http://www.agof.de/aktuelle-studie-internet/#aktuellestudiehttp://www.ichkoche.at/data/repository/Keyaccount/ichkoche-oewaplus-q4-2012.pdf

Recipe Popularities

0

10000

20000

30000

40000

50000

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Ingredient Popularities

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0

20000

40000

60000

80000

100000

120000

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Temporal Stability

10

Meat

Carbohydrates

Fish

Vegetable

Alcohol

Normalized Access Volume per Weekday

)( t

t

XZ

Ichkoche.at

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kochbar.de

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ichkoche.at

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kochbar.de

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15

Meat

Carbohydrates

Fish

Vegetable

Alcohol

Change Rateper Weekday

N

j jj

iit

tFtF

tFtFR

1 1

1

)()(

))()((

Most Popular Recipes

• Berlin:

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• Frankfurt: • Vienna:• Kiel:

City Similarities

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Bundesarchiv Bild 173-1282, Berlin, Brandenburger Tor, Wasserwerfer 18

Regional Similarities

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Regional Similarities

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West

East

Berlin

EastWest

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Culture

Wikipedia27 language communities

31 cuisines

22

Cultural Relations

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Understanding

Similarity

Affinity

Cultural Similarity

sim(𝐴, 𝐵) =|𝐴 ∩ 𝐵|

|𝐴 ∪ 𝐵|Jaccard

similarity

German cuisine

Italian cuisine

Sauerkraut

Riesling Pasta

Sousage

Pizza

Parmigiano

sim( , ) =1

82418.11.2014 Claudia Wagner

Tortano

Wheat Beer

Cultural Similarity between

Neighbors

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Cultural Understanding

Understanding the Italian food culture

Wikipedia edition

Used concepts

“Native” definition

2 / 5 0 / 6Understanding

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Cultural Understanding

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What may explain Cultural

Understanding?

• Create for each country a list of countries ranked by where most of its immigrants come from

• Create for each country a list of countries ranked by how similar their values and beliefs are according to ESS

Pair ρ (p-value)

wiki – ess 0.18 (0.00019)

wiki – migration 0.36 (1.74e-22)

28

Germany

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Cultural Affinity

• View statistics of cuisine pages in different language editions

• How much more attention than we would expect does language community A pay to the culture of community B?

2918.11.2014

Cross-cultural

affinities

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But what

explains them?

GERMANY

de/Croatian (+0.0173)de/Serbian (+0.0114)de/Polish (+0.0051)de/Dutch (+0.0037)

TURKEY

tr/German (+0.1464)tr/French (+0.0850)tr/Italian (+0.0114)

ρ=0.25

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What drives

cross-cultural attention?

es

it

dees

it

de

Popularity-Affinity ModelPopularity Model

What drives

cross-cultural attention?

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Popularity Model Popularity-Affinity Model

Self-Focus & Regional Bias

33Claudia Wagner18.11.2014

Summary

• Affinities between language communities are present in Wikipedia and drive the attention process

• Cultural understanding can to some extent be explained by migration

• Cultural similarities inferred from Wikipedia are pretty plausible crowdflower

• Relation between similarity, understanding and affinities?– Understanding and affinity: -0.35

– Similarity and affinity: 0.27

– Similarity and understanding: 0.19

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Thank you!Questions? Comments? Lunch?

@clauwa

claudiawagner.info

claudia.wagner@gesis.org