Opendata, web and dolomites

COMPROP SIGNED

Computational Propaganda:Investigating the Impact of Algorithms and Bots on Political Discourse in Europe

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "COMPROP" data sheet

The following table provides information about the project.

Coordinator
THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD 

Organization address
address: WELLINGTON SQUARE UNIVERSITY OFFICES
city: OXFORD
postcode: OX1 2JD
website: www.ox.ac.uk

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 United Kingdom [UK]
 Project website https://comprop.oii.ox.ac.uk/
 Total cost 1˙980˙112 €
 EC max contribution 1˙980˙112 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2014-CoG
 Funding Scheme ERC-COG
 Starting year 2016
 Duration (year-month-day) from 2016-01-01   to  2020-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD UK (OXFORD) coordinator 1˙980˙112.00

Map

 Project objective

Social media can have an impressive impact on civic engagement and political discourse. Yet increasingly we find political actors using digital media and automated scripts for social control. Computational propaganda—through bots, botnets, and algorithms—has become one of the most concerning impacts of technology innovation. Unfortunately, bot identification and impact analysis are among the most difficult research challenges facing the social and computer sciences.

COMPROP objectives are to advance a) rigorous social and computer science on bot use, b) critical theory on digital manipulation and political outcomes, c) our understanding of how social media propaganda impacts social movement organization and vitality. This project will innovate through i) “real-time” social and information science actively disseminated to journalists, researchers, policy experts and the interested public, ii) the first detailed data set of political bot activity, iii) deepened expertise through cultivation of a regional expert network able to detect bots and their impact in Europe.

COMPROP will achieve this through multi-method and reflexive work packages: 1) international qualitative fieldwork with teams of bot makers and computer scientists working to detect bots; 2a) construction of an original event data set of incidents of political bot use and 2b) treatment of the data set with fuzzy set and traditional statistics; 3) computational theory for detecting political bots and 4) a sustained dissemination strategy. This project will employ state-of-the-art “network ethnography” techniques, use the latest fuzzy set / qualitative comparative statistics, and advance computational theory on bot detection via cutting-edge algorithmic work enhanced by new crowd-sourcing techniques.

Political bots are already being deployed over social networks in Europe. COMPROP will put the best methods in social and computer science to work on the size of the problem and the possible solutions.

 Publications

year authors and title journal last update
List of publications.
2016 Bence Kollanyi, Philip N. Howard, Samuel Woolley
\"Bots, #StrongerIn, and #Brexit: ComputationalPropaganda during the UK-EU Referendum\"
published pages: , ISSN: , DOI:
2019-04-18
2018 Philip N. Howard, Samuel Woolley, Ryan Calo
Algorithms, bots, and political communication in the US 2016 election: The challenge of automated political communication for election law and administration
published pages: 81-93, ISSN: 1933-1681, DOI: 10.1080/19331681.2018.1448735
Journal of Information Technology & Politics 15/2 2019-04-18
2016 Bence Kollanyi, Philip N.Howard, Samuel Woolley
Bots and Automation over Twitter during the Second U.S. Presidential Debate
published pages: , ISSN: , DOI:
2019-04-18
2016 Bence Kollanyi, Philip N.Howard, Samuel Woolley
Bots and Automation over Twitter during the Third U.S. Presidential Debate
published pages: , ISSN: , DOI:
2019-04-18
2018 Samuel Woolley Philip N. Howard
Computational Propaganda: Political Parties, Politicians, and Political Manipulation on Social Media
published pages: , ISSN: , DOI:
2019-04-18
2018 Gillian Bolsover, Philip Howard
Chinese computational propaganda: automation, algorithms and the manipulation of information about Chinese politics on Twitter and Weibo
published pages: 1-18, ISSN: 1369-118X, DOI: 10.1080/1369118X.2018.1476576
Information, Communication & Society 2019-04-18
2017 Philip N.Howard, Bence Kollanyi, Samantha Bradshaw, Lisa-Maria Neudert
Social Media, News and Political Information during the US Election:Was Polarizing Content Concentrated in Swing States?
published pages: , ISSN: , DOI:
2019-02-28
2017 Vidya Narayanan, Philip N.Howard, Bence Kollanyi, Mona Elswah
Russian Involvement and Junk News during Brexit
published pages: , ISSN: , DOI:
2019-02-28
2018 Samantha Bradshaw, Lisa-Maria Neudert, Philip N.Howard
Government Responses to Malicious Use of Social Media
published pages: , ISSN: , DOI:
2019-02-28
2018 Monika Glowacki, Vidya Narayanan, Bence Kollanyi, Lisa-Maria Neudert, Phil Howard
News and Political Information Consumption in Mexico: Mapping the 2018 Mexican Presidential Election on Twitter and Facebook
published pages: , ISSN: , DOI:
2019-02-28
2017 John D. Gallacher, Vlad Barash, Philip N. Howard, John Kelly
Junk News on Military Affairs and National Security: Social Media Disinformation Campaigns Against US Military Personnel and Veterans
published pages: , ISSN: , DOI:
2019-02-28
2017 Lisa-Maria Neudert, Bence Kollanyi, Philip N.Howard
Junk News and Bots during the German Parliamentary Election: What are German Voters Sharing over Twitter?
published pages: , ISSN: , DOI:
2019-02-28
2018 Samantha Bradshaw, Philip N.Howard
Troops, Trolls and Troublemakers: A global Inventory of Organized Social Media Manipulation
published pages: , ISSN: , DOI:
2019-02-28
2017 Samuel Woolley, Philip N.Howard
Computational Propaganda Worldwide: Executive Summary
published pages: , ISSN: , DOI:
2019-02-28
2017 Monica Kamiska, John D. Gallacher, Bence Kollanyi, Taha Yasseri, Philip N.Howard
Social Media and News Sources during the 2017 UK General Election
published pages: , ISSN: , DOI:
2019-02-28
2017 Philip N. Howard, Samantha Bradshaw, Bence Kollanyi, Clementine Desigaud, Gillian Bolsover
Junk News and Bots during the French Presidential Election
published pages: , ISSN: , DOI:
2019-02-28
2016 Bence Kollanyi, Philip N.Howard, Samuel Woolley
Bots and Automation over Twitter during the U.S. Election
published pages: , ISSN: , DOI:
2019-02-28
2017 John D. Gallacher, Monica Kaminska, Bence Kollanyi, Philip N. Howard
Junk News and Bots during the 2017 UK General Election
published pages: , ISSN: , DOI:
2019-02-28
2018 Philip N Howard, LM Neudert
Computational Propaganda und der öffentliche Diskurs.
published pages: 45-57, ISSN: , DOI:
2019-02-26
2018 Vidya Narayanan, Vlad Barash, John Kelly, Bence Kollanyi, Lisa-Maria Neudert, Philip N. Howard
Polarization, Partisanship and Junk News Consumption over Social Media in the US
published pages: , ISSN: , DOI:
2019-02-28

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "COMPROP" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.1.1.)

CohoSing (2019)

Cohomology and Singularities

Read More  

DDREAMM (2020)

Dna Damage REsponse: Actionabilities, Maps and Mechanisms

Read More  

SkewPref (2019)

Skewness Preferences – Human attitudes toward rare, high-impact risks

Read More