Data by Design

 

Interaction and Algorithm

Spielanleitung

Interaction

  1. Identify interactions (Pink)

    • Use the pink markers and mark all interactions with the TikTok For You page that you know!

    • Discuss in the group!

    • The legend on the game board briefly explains the symbols of the interactions.

Spielanleitung

Interaction

algorithmic evaluation

2. Evaluate interactions (Green)

  • Use the green markers and evaluate the interactions! What influence do the interactions have on the recommendation of similar videos?

  • Discuss in the group!

    • 👍 denotes a positive influence on the algorithm

    • 👎 denotes a negative influence on the algorithm.

    • Use the question mark (?), if you are unsure.

    • Use the 🚫 if you believe, the interaction is blocking the video from your recommendations.

Spielanleitung

Interaktion

algorithmic weighting

algorithmic evaluation

3. Weighting interactions (Algorithm/Blue)

  • Use the blue markers (1–3) to weight interactions that influence the recommendations. You can only weight interactions that have a thumbs up/down. What do you think the TikTok recommendation algorithm finds particularly important!

  • Discuss in the group!

 

Spielanleitung

Interaktion

Usage type

algorithmic weighting

algorithmic evaluation

4. Weighting interactions (Persona/Yellow)

  • Use the yellow markers (1–3) to weight the interactions that correspond to a specific usage type.

  • Decide in the group which usage type you want to represent (Swiper, Liker, Commenter, Reporter, Subscriber, Marker, etc.)

  • You can only weight interactions that have a thumbs up/down.

 

Spielanleitung

Interaction

Usage Type

algorithmic weighting

algorithmic evaluation

4. Personas

  • Swiper

  • Liker

  • Commenter

  • Reporter

Evaluation

Gruppe 3

Gruppe 1

Gruppe 2

Gruppe 4

Auswertung

Interaction

usage type

algorithmic weighting

+

algorithmic evaluation

= 

?

=

2

+

+

=

2

=

=

Value

Value

Auswertung

Interaction

usage type

algorithmic weighting

algorithmic evaluation

= 

?

=

2

x

=

2

=

=

Value

Value

x

x

+

Auswertung

Interaction

usage type

algorithmic weighting

+

algorithmic evaluation

(

)

x

(

)

= 

?

2

=

2

=

2

=

=

Value

Value

Auswertung

(

)

(

)

= 

?

=

=

2

=

=

Value

Value

ϑ

ϒ

*

*

*

x

Auswertung

Interaktion

Nutzungstyp

algorithmische Gewichtung

+

algorithmische Bewertung

(

)

x

(

)

=

=

2

=

(-2)

12

x

Spielanleitung

Interaktion

Nutzungstyp

algorithmische Gewichtung

algorithmische Bewertung

(

)

x

=

x

?

=

2

=

(-2)

x

Spielanleitung

Interaktion

Nutzungstyp

algorithmische Gewichtung

algorithmische Bewertung

(

)

x

=

x

=

2

=

(-2)

18

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Impressum

Die Methode "TikTok Labor" wurde Rahmen des BMBF-geförderten Verbundprojektes “Dataskop” entwickelt. Mehr unter: dataskop.net/

Lizenz: CC BY mediale pfade, Leon Behn, Robert Behrendt

Daten by Design Eng

By mediale pfade