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BOTFIND

BOTFIND: Finding Bots, Detect Harassing Automation, and Restoring Trust in Social Media Civic Engagement

Total Cost €

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EC-Contrib. €

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Partnership

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Project "BOTFIND" 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]
 Total cost 149˙921 €
 EC max contribution 149˙921 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2017-PoC
 Funding Scheme ERC-POC
 Starting year 2017
 Duration (year-month-day) from 2017-08-01   to  2019-01-31

 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 149˙921.00

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 Project objective

Social media platforms have become tools for manipulating public opinion during elections. In particular, “bots” are algorithms that automate rapid, widespread interactions with citizens, often with deleterious effects on public knowledge of science, social inequality, and public policy options. Through the ERC COMPROP Consolidator award, researchers have demonstrated that even simple bots (i) effectively keep negative messages and fake news in circulation longer (ii) target journalists and civil society groups and (iii) operate with little oversight from social media firms. Such algorithms have negative consequences both for public trust in technology innovation and for the quality of public deliberation in Europe’s democracies. ERC researchers have been able to identify highly automated, politically-manipulative social media accounts post hoc. This project will allow researchers to take what we have learned and produce an online tool that allows people to evaluate suspicious social media accounts. Most social media platforms are slow to address troll and bot activity, so this innovative tool will put ERC research into public service in Europe—and around the world.

 Publications

year authors and title journal last update
List of publications.
2019 Liotsiou, D., Kollanyi, B., Howard, P.N
The Junk News Aggregator: Examining junk news posted on Facebook, starting with the 2018 US midterm elections.
published pages: , ISSN: , DOI:
2019-08-30

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

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