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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.

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

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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