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DAFINET SIGNED

Dynamic Attitude Fixing: A novel theory of opinion dynamics in social networks and its implications for computational propaganda in hybrid social networks (containing humans and bots)

Total Cost €

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EC-Contrib. €

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Partnership

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 DAFINET project word cloud

Explore the words cloud of the DAFINET project. It provides you a very rough idea of what is the project "DAFINET" about.

political    contextual    validate    people    global    structure    dynamically    repertoire    usa    multilayer    historical    outside    conflict    fixed    observational    generating    propagation    societies    back    symbolic    simultaneously    hybrid    clinton    explore    generate    identities    agents    human    partisan    disagreement    fixing    vs    dynamics    ingroup    interaction    seek    express    trump    understanding    roll    premised    demonstrated    locked    psychological    bot    twitter    emergent    vulnerability    computational    outgroup    channels    interactions    ethnomethodology    hold    constellations    data    attitude    unfix    model    threat    links    theory    networks    hypothesized    contained    ambivalent    simulations    expression    influence    fit    consensus    brexit    events    zero    similarity    agent    enact    attitudes    multiple    intensified    sum    propagate    elections    dynamic    network    referenda    perceived    economic    accountable    sometimes    opinion    vitally    experiments    hypotheses    identity    uk    automated    fix    difference    limits    poorly    social    psychology    disciplines    propaganda    repertoires    easily   

Project "DAFINET" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITY OF LIMERICK 

Organization address
address: NATIONAL TECHNOLOGICAL PARK, PLASSEY
city: LIMERICK
postcode: -
website: www.ul.ie

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Ireland [IE]
 Total cost 1˙499˙925 €
 EC max contribution 1˙499˙925 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2018-STG
 Funding Scheme ERC-STG
 Starting year 2018
 Duration (year-month-day) from 2018-12-01   to  2023-11-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITY OF LIMERICK IE (LIMERICK) coordinator 1˙499˙925.00

Map

 Project objective

Understanding the coordination of attitudes in societies is vitally important for many disciplines and global social challenges. Network opinion dynamics are poorly understood, especially in hybrid networks where automated (bot) agents seek to influence economic or political processes (e.g. USA: Trump vs Clinton; UK: Brexit). A dynamic fixing theory of attitudes is proposed, premised on three features of attitudes demonstrated in ethnomethodology and social psychology; that people: 1) simultaneously hold a repertoire of multiple (sometimes ambivalent) attitudes, 2) express attitudes to enact social identity; and 3) are accountable for attitude expression in interaction. It is proposed that interactions between agents generate symbolic links between attitudes with the emergent social-symbolic structure generating perceived ingroup similarity and outgroup difference in a multilayer network. Thus attitudes can become dynamically fixed when constellations of attitudes are locked-in to identities via multilayer networks of attitude agreement and disagreement; a process intensified by conflict, threat or zero-sum partisan processes (e.g. elections/referenda). Agent-based simulations will validate the theory and explore the hypothesized channels of bot influence. Network experiments with human and hybrid networks will test theoretically derived hypotheses. Observational network studies will assess model fit using historical Twitter data. Results will provide a social-psychological-network theory for attitude dynamics and vulnerability to computational propaganda in hybrid networks. The theory will explain: (a) when and how consensus can propagate rapidly through networks (since identity processes fix attitudes already contained within repertoires); (b) limits of identity-related attitude propagation (since attitudes outside of repertoires will not be easily adopted); and (c) how attitudes can often ‘roll back’ after events (since contextual changes ‘unfix’ attitudes).

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The information about "DAFINET" are provided by the European Opendata Portal: CORDIS opendata.

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