Week 3- Recommendation systems
Gillespie:
Author Tarleton Gillespie
Title The relevance of algorithms
Algorithms: encoded procedures for transforming input data into a
desired output based on specified calculations.
Concepts and Public relevance algorithms
terms categorisation of data
Shadow bodies
Blackboxing
Recommendations systems are selecting which information is relevant
to us. He defines 6 dimensions of public relevance algorithms. Patterns
of inclusion: choices behind what makes it into an index in the first
place, what is excluded, and how data is made algorithm ready. Cycles
of anticipation: the implications of trying to know and predict the user,
how the information gathered can be used. The evaluation of relevance:
criteria by which algorithms determine what is relevant, how criteria are
obscured from us, political and cultural choices about appropriate and
Main ideas
legitimate knowledge. The Promise of Algorithmic Objectivity:
algorithms are believed to be impartial even despite controversy, in
reality they a conform to the culture, values etc. Entanglement with
Practice: algorithms are shaped by users behaviour, algorithms affect
how people seek information, perceive knowledge and understand the
world. The production of calculated publics: How algorithms create
groups and categories out of mathematical calculations and how that
can be a problem (eg filter bubbles).
By making all information digital we are subjecting human discourse
Author’s and knowledge to procedural logics (public relevance algorithms).
position Understanding algorithms is a sociological inquiry. Inquiring the logics
and power relations of algorithms is fundamental.
Gillespie:
Author Tarleton Gillespie
Title The relevance of algorithms
Algorithms: encoded procedures for transforming input data into a
desired output based on specified calculations.
Concepts and Public relevance algorithms
terms categorisation of data
Shadow bodies
Blackboxing
Recommendations systems are selecting which information is relevant
to us. He defines 6 dimensions of public relevance algorithms. Patterns
of inclusion: choices behind what makes it into an index in the first
place, what is excluded, and how data is made algorithm ready. Cycles
of anticipation: the implications of trying to know and predict the user,
how the information gathered can be used. The evaluation of relevance:
criteria by which algorithms determine what is relevant, how criteria are
obscured from us, political and cultural choices about appropriate and
Main ideas
legitimate knowledge. The Promise of Algorithmic Objectivity:
algorithms are believed to be impartial even despite controversy, in
reality they a conform to the culture, values etc. Entanglement with
Practice: algorithms are shaped by users behaviour, algorithms affect
how people seek information, perceive knowledge and understand the
world. The production of calculated publics: How algorithms create
groups and categories out of mathematical calculations and how that
can be a problem (eg filter bubbles).
By making all information digital we are subjecting human discourse
Author’s and knowledge to procedural logics (public relevance algorithms).
position Understanding algorithms is a sociological inquiry. Inquiring the logics
and power relations of algorithms is fundamental.
