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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.

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

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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