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The Prix Ars Electronica Archive is a collection enabling search and viewing of all the submissions since 1987. The award-winning projects are documented with catalogue texts and audio-visual media. All other submissions can be searched by title/artist and displayed with year, category in list form. Please cite the credits (artwork name, artist and photographer) and only use the materials if your article is related to Ars Electronica.
Eco-Bot.Net - Defending The Digital Environment
Barnaby Francis,
Robert '3D' Del Naja,
Dale Vince
Scientific Quality:
Eco-bot.net solves the complex problem of systemic analysis of greenwashing and climate disinformation content on social media. Research revealed a knowledge gap in advocacy, press and litigation sectors due to absence of systemic analysis of data. Analysis of historical social media data showed upsurges in climate mis/disinfo prior to & during previous COP talks. We aimed to counter coordinated efforts to spread mis/disinfo during COP26.
European Code of Conduct for Research Integrity & EU GDPR frameworks underpin trans-disciplinary partnerships.
Social Quality / Policy:
Develop & deploy new civic tools using latest AI & ML techniques from data & information science for ongoing identification, monitoring & analysis of social media data from high emission actors & sectors globally.
Compiled intelligence briefings for UK COP26 presidency team during COP26.
Analyse & visualise content using real-time data flows from Facebook, Instagram, Twitter.
To provide evidence for data-driven investigative journalism & climate litigation.
To reveal hidden targeting data in online influence campaigns that use greenwashing to influence discourse and policy and to communicate facts to broad publics.
To create a public, online 'evidentiary archive' in perpetuity.
Diversity:
Cross-sectoral collaboration between leading artists, journalists, academics, technology providers, designers, disinformation policy experts & data scientists.
Artist-led with CS training & mentoring provided to artists & journalists by ISD, CASM scientists during COP26 pilot
CS participants tagged & verified over 3000 data records
Participatory decision making & horizontally organised working ensures active collaboration between diverse partners.
Team made up of 9 nationalities (UK, Poland, German, Portuguese, Indian, Dutch, Italian, French). 34% of team are female. 66% male. In December 2023, eco-bot.net secured development funding for a new open source platform & architecture which will in
Eco-bot.net solves the complex problem of systemic analysis of greenwashing and climate disinformation content on social media. Research revealed a knowledge gap in advocacy, press and litigation sectors due to absence of systemic analysis of data. Analysis of historical social media data showed upsurges in climate mis/disinfo prior to & during previous COP talks. We aimed to counter coordinated efforts to spread mis/disinfo during COP26.
European Code of Conduct for Research Integrity & EU GDPR frameworks underpin trans-disciplinary partnerships.
Social Quality / Policy:
Develop & deploy new civic tools using latest AI & ML techniques from data & information science for ongoing identification, monitoring & analysis of social media data from high emission actors & sectors globally.
Compiled intelligence briefings for UK COP26 presidency team during COP26.
Analyse & visualise content using real-time data flows from Facebook, Instagram, Twitter.
To provide evidence for data-driven investigative journalism & climate litigation.
To reveal hidden targeting data in online influence campaigns that use greenwashing to influence discourse and policy and to communicate facts to broad publics.
To create a public, online 'evidentiary archive' in perpetuity.
Diversity:
Cross-sectoral collaboration between leading artists, journalists, academics, technology providers, designers, disinformation policy experts & data scientists.
Artist-led with CS training & mentoring provided to artists & journalists by ISD, CASM scientists during COP26 pilot
CS participants tagged & verified over 3000 data records
Participatory decision making & horizontally organised working ensures active collaboration between diverse partners.
Team made up of 9 nationalities (UK, Poland, German, Portuguese, Indian, Dutch, Italian, French). 34% of team are female. 66% male. In December 2023, eco-bot.net secured development funding for a new open source platform & architecture which will in