Skip to main content
Go to the home page of the European Commission (opens in new window)
English English
CORDIS - EU research results
CORDIS

Graphs and Ontologies for Literary Evolution Models

Project description

A scientific study of literary evolution integrating AI, statistical modelling and Big Data

Big Data and digitalisation offer opportunities for tremendous insight in fields far beyond science and technology. Literature is now consumed on electronic devices. Readers’ thoughts about what they have read appear on digital platforms including review sites and social media. The ERC-funded GOLEM project will take advantage of the unprecedented data including the stories read and their effects on the readers as gleaned from digital and social media comments. Harnessing machine learning and statistical modelling tools and comparing the relations between stories in five different languages, the team will create accurate models that shed light on how fiction adapts to societal circumstances and cultures.

Objective

The “Graphs and Ontologies for Literary Evolution Models” (GOLEM) project will create statistically robust models explaining how fiction evolves, based on the analysis of millions of stories and the effects they have on readers. This is the first time in history that this kind of data is available on such a large scale, thanks to the fact that readers all over the world use digital and social media to share fictional stories and to comment on them, e.g. on fanfiction websites or on publishing platforms like Wattpad. GOLEM will use computational literary studies and cultural evolution theory to create accurate models of how the (formal and content-related) cultural traits found in fiction spread and combine. The basis of this evolutionary analysis of fiction will be a knowledge graph database – an infrastructure of interlinked data about stories and reader response – which will be used to test hypotheses related to the accumulation of cultural traits in stories and their effectiveness in achieving cognitive and emotional effects on readers. State-of-the-art machine learning algorithms and advanced statistical modelling tools will be employed to create a major breakthrough in computational literary studies, possibly also contributing to the revision of cultural evolution theories. By focusing on the relations between stories in five different languages, collected from countries in all continents, GOLEM will provide an unprecedented insight into how storytelling, one of the most ancient cultural systems, evolves. Literary history and criticism have offered refined accounts of how fiction works, mostly relying on case studies of limited extent. It is now time to provide robust statistical evidence of the anthropological function of fiction and of how it adapts to different circumstances and cultures, empowering readers to cope with their cultural or societal contexts.

Fields of science (EuroSciVoc)

CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.

You need to log in or register to use this function

Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-ERC - HORIZON ERC Grants

See all projects funded under this funding scheme

Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) ERC-2021-STG

See all projects funded under this call

Host institution

RIJKSUNIVERSITEIT GRONINGEN
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 1 194 088,75
Address
Broerstraat 5
9712CP Groningen
Netherlands

See on map

Activity type
Higher or Secondary Education Establishments
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 1 194 088,75

Beneficiaries (1)

My booklet 0 0