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“Seven moments with Bruno Latour” by Noortje Marres

Social Studies of Science has just published “Seven moments with Bruno Latour” by Noortje Marres, Professor in Science, Technology and Society at the Centre for Interdisciplinary Methodologies (University of Warwick) and founding member of the Public Data Lab.

The piece moves across memories, conversations and encounters from 1999 to 2022, situating explorations of issue mapping, controversy mapping, hyperlink analysis, ecological politics, feminist science and technology studies, modes of existence, protocols for collective inquiry, and arts-based methods.

An excerpt on “Limburg, 1999”:

It is a rainy afternoon in Limburg, in the south of the Netherlands. I have taken a local train from Maastricht to Kerkrade to visit Rolduc, a Catholic abbey that also hosts academic conferences, and where the Dutch Graduate School for Science, Technology and Modern Culture (WTMC) is holding a meeting. I have a poster with me, a map of the Genetically Modified Food debate on the Web, a circle of nodes representing the websites of organizations that take positions on the issue of GM Foods, and the hyperlinks that connect them. I made this poster with colleagues at the Jan van Eyck Academy, a post-graduate art school in Maastricht, where am working as a theorist-in-residence in the Design Department, as part of a team led by Richard Rogers, the media scholar, to develop digital methods of issue mapping.

It is wet and windy when I arrive in Kerkrade, and I approach the old, tall buildings of Rolduc abbey with what I can only call trepidation. Bruno has invited me to show our poster at the WTMC conference, but I am not at all sure that this was a good idea. I am not even a PhD student, and am based in an art school. I am a stranger. Fortunately, by the time I walk into the conference the poster session is about to start, and I am relieved that I can put my poster on the wall and simply stand there, next to my poster, in a clearly defined role. Bruno asks a lot of questions. Who are these organizations? What can the hyperlinks between them tell us about their ‘position’ in the controversy, and about the controversy itself? He does not ask: Why are you showing us a … data visualization? He does not ask: What are you doing, art or social science? He does not ask: If your poster presents a study of public controversy, then why are you doing this work in a graphic design department? Others join us and we have a conversation.

In 1999, to create what we would later call digital controversy maps was to step into an under-defined, interdisciplinary space. Our work at the Jan van Eyck Akademie brought together STS with design research, computing, internet studies and environmental politics, and at the time this did not make much institutional sense. Our work also looks strange. Indeed, how can one show a network visualisation and call it a debate? As it turned out Bruno Latour was strongly supportive of our approach: the development of interdisciplinary methods of inquiry, which combine social science with art and design, became one of his principal occupations in the decades that followed.

New paper: “Visual Models for Social Media Image Analysis: Groupings, Engagement, Trends, and Rankings”

A new article on “Visual Models for Social Media Image Analysis: Groupings, Engagement, Trends, and Rankings” co-authored by Public Data Lab researchers Gabriele ColomboLiliana Bounegru and Jonathan Gray has just been published in the International Journal of Communication (IJOC). It is available as an open access PDF. Here’s the abstract:

With social media image analysis, one collects and interprets online images for the study of topical affairs. This analytical undertaking requires formats for displaying collections of images that enable their inspection. First, we discuss features of social media images to make a case for studying them in groups (rather than individually): multiplicity, circulation, modification, networkedness, and platform specificity. In all, these offer reasons and means for an approach to social media image research that privileges the collection of images as its analytical object. Second, taking the 2019 Amazon rainforest fires as a case study, we present four visual models for analyzing collections of social media images. Each visual model matches a distinctive spatial arrangement with a type of analysis: grouping images by theme with clusters, surfacing dominant images and their engagement with treemaps, following image trends with plots, and comparing image rankings across platforms with grids.

Introducing forestscapes and open call for forest sounds

Soundscapes as method

How can soundscapes be used as a way to attend to forest life and the many different ways that we narrate and relate to forests, forest issues and forest protection and restoration efforts?

Forests and their wider ecologies are presented not only as sites of conservation and relaxation, but also as crucial infrastructures in addressing and building resilience against the effects of climate change; habitats for endangered species; hotspots of biodiversity; part of poverty alleviation programmes; sites for ecotourism, health and wellbeing; scenes of neocolonial afforestation; backdrops for corporate greenwashing; landscapes of danger, violence, destruction and resource conflicts; and places where different kinds of planetary futures may emerge. Forests are involved in collective life in many ways.

In this context, the forestscapes project will explore, document and demonstrate generative arts-based methods for recomposing collections of sound materials to support “collective inquiry” into forests as living cultural landscapes. It aims to facilitate interdisciplinary exchanges between natural scientists, social scientists, arts and humanities researchers, artists and public-spirited organisations and institutions working on forest issues.

While many previous works have explored sound as a medium for sensory immersion, (e.g. field recordings), forestscapes explores how recomposing sound material may explore forests as mediatised and contested cultural landscapes: diverse sites of many different (and marginalised) kinds of beings, relations, histories and representations. As part of the project we will co-create new sound works, as well as generative composition techniques using open source software and hardware.

Research on visual methods has explored how to work with “folders of images”, including formats for the re-arrangement of images for collective interpretation. Forestscapes will explore generative methods and techniques for working with “folders of sound” – whether folders of site-based recordings or collections of sounds associated with a particular place gathered from the web and social media.

Further details and materials from the project will be added here.

Call for folders of forest sounds

As part of the project we have an open call for folders of forest sounds. If you have a collection of forest sounds related to a particular site and you’d be interested in exploring soundscaping techniques, we’d love to hear from you.

What? We welcome sounds collected in different contexts, i.e. research projects involving forests in some ways (e.g. ecological restoration, study of climate change impacts, fieldwork, etc); sounds recorded during walks and trips; as well as material collected online. 

How? You can tell us about your folders of forest sounds here.

Who? We’re keen to hear from everyone with collections of forest sounds –  whether you’re a forest scientist with bioacoustic recordings; an environmental organisation exploring sound as a medium of community engagement; a new media researcher gathering online materials; an ethnographer working with sound materials;  a musician working with field recordings from a particular forest site; an artist interested in generative compositional techniques with ecological sounds; or a walker who has gathered a collection of sounds from a forest you often go to.

When? Please submit your files by 17th March 2023.

The forestscapes project is a collaboration between the Department of Geography, the Department of Digital Humanities, the Centre for Digital Culture, the Centre for Attention Studies, the Digital Futures Institute and the Environmental Humanities Network at King’s College London, together with the Public Data Lab. It is supported by the National Environmental Research Council.

New article: Staying with the trouble of networks

A new article on “Staying with the trouble of networks” co-authored by Daniela van GeenenJonathan Gray, Liliana BounegruTommaso VenturiniMathieu Jacomy and Axel Meunier has just been published in Frontiers in Big Data. It is available open access in html and PDF versions. Here’s the abstract:

Networks have risen to prominence as intellectual technologies and graphical representations, not only in science, but also in journalism, activism, policy, and online visual cultures. Inspired by approaches taking trouble as occasion to (re)consider and reflect on otherwise implicit knowledge practices, in this article we explore how problems with network practices can be taken as invitations to attend to the diverse settings and situations in which network graphs and maps are created and used in society. In doing so, we draw on cases from our research, engagement and teaching activities involving making networks, making sense of networks, making networks public, and making network tools. As a contribution to “critical data practice,” we conclude with some approaches for slowing down and caring for network practices and their associated troubles to elicit a richer picture of what is involved in making networks work as well as reconsidering their role in collective forms of inquiry.

“Does computation break epistemic binaries?” – online event, 5.30 CET, 25th Jan 2023

The TANTLab is hosting a virtual panel on Jan 25 (5.30 CET) where Public Data Lab members Tommaso Venturini and David Moats will participate together with Laura Nelson from University of British Columbia. The theme of the panel is whether the influx of computational methods challenges ingrained epistemic binaries in SSH. We define an epistemic binary as a dichotomy that (perhaps artificially) separates knowledge production into different kinds. 
 
The panel is arranged as part of the process of editing the forthcoming ‘handbook of digital and computational SSH’ (edited by Public Data Lab members Anders Koed Madsen & Anders Kristian Munk on Edward Elgar). Each of the three authors discuss such binaries in their chapters and this panel brings them together to reflect more broardly on the fate of binaries in contemporary digital knowledge production.

You can read more here and join here.

Exploring forest hashtags in COP27 Twitter with the European Forest Institute

The following is a cross-post from Rina Tsubaki at the European Forest Institute, drawing on digital methods recipes and approaches developed with the Public Data Lab as part a broader collaboration around the SUPERB project on upscaling forest restoration.

Elon Musk’s takeover of Twitter has prompted confusion among its users and concerns about the platform’s future. Musk’s tweets are gathering daily attention due to large-scale layoffs and safety concerns around the new paid blue verification mark. To make things worse, as its engineers are on their way out of the door, users are also experiencing various technical glitches on the platform. Millions of users – including journalists, researchers and organisations – are already signing up on alternative platforms to be prepared for the platform’s deterioration and demise.

While no one can predict Twitter’s future, it remains widely used by politicians, scientists, companies, NGOs and influencers who are still busy posting on the platform. This includes COP27 in Egypt, where Twitter was one of the main platforms to report on the event. #cop27 has been tweeted over 2.85 million times since 5 November 2022. 

Social media platforms can give us additional insights into how broader publics make connections between forest restoration and other social, economic and environmental issues. To see which issues and narratives around forest restoration have been brought up on Twitter in the lead-up to the event, we’ve carried out a series of small explorations based on the digital methods recipes developed by our colleagues at the Department of Digital Humanities, King’s College London and the Public Data Lab who are part of the SUPERB consortium led by EFI. This has been a good way to see if EFI could use these methods independently to understand international events as they unfold.

We usually see a spike in hashtag usage a few days before global events like the COPs. Using #cop27we collected 217,189 tweets between 5 and 7 November 2022. We then examined the top 1000 hashtags to see which kinds of forest-related issues are present. 

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“What actually happened? The use and misuse of Open Source Intelligence (OSINT)”, Digital Methods Winter School and Data Sprint 2023

Applications are now open for the Digital Methods Winter School and Data Sprint 2023 which is on the theme of “What actually happened? The use and misuse of Open Source Intelligence (OSINT)”.

This will take place on 9-13th January 2023 at the University of Amsterdam. Applications are accepted until 1st December 2022.

More details and registration links are available here and an excerpt on this year’s theme and the format is copied below:

The Digital Methods Initiative (DMI), Amsterdam, is holding its annual Winter School on the ‘Use and Misuse of Open Source Intelligence (OSINT)’. The format is that of a (social media and web) data sprint, with tutorials as well as hands-on work for telling stories with data. There is also a programme of keynote speakers. It is intended for advanced Master’s students, PhD candidates and motivated scholars who would like to work on (and complete) a digital methods project in an intensive workshop setting. For a preview of what the event is like, you can view short video clips from previous editions of the School.

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Article on “Engaged research-led teaching: composing collective inquiry with digital methods and data”

A new article on “Engaged research-led teaching: composing collective inquiry with digital methods and data” co-authored by Jonathan GrayLiliana BounegruRichard RogersTommaso VenturiniDonato RicciAxel MeunierMichele MauriSabine NiedererNatalia Sánchez-QuerubínMarc TutersLucy Kimbell and Anders Kristian Munk has just been published in Digital Culture & Education.

The article is available here, and the abstract is as follows:

This article examines the organisation of collaborative digital methods and data projects in the context of engaged research-led teaching in the humanities. Drawing on interviews, field notes, projects and practices from across eight research groups associated with the Public Data Lab (publicdatalab.org), it provides considerations for those interested in undertaking such projects, organised around four areas: composing (1) problems and questions; (2) collectives of inquiry; (3) learning devices and infrastructures; and (4) vernacular, boundary and experimental outputs. Informed by constructivist approaches to learning and pragmatist approaches to collective inquiry, these considerations aim to support teaching and learning through digital projects which surface and reflect on the questions, problems, formats, data, methods, materials and means through which they are produced.

Make a deal with Gephisto

Mathieu Jacomy and Anders Munk, TANT Lab & Public Data Lab

6 minutes read

Make a deal with Gephisto

Gephisto is Gephi in one click. You give it network data, and it gives you a visualization. No settings. No skills needed. The dream! With a twist.

Gephisto produces visualizations such as the one above. It exists as a website, and you can just try it below. It includes test networks, you don’t even need one. Do it! Try it, and come back here. Then we talk about it.

https://jacomyma.github.io/gephisto/

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Profiling Bolsobot Networks

Blog post by By Emillie de Keulenaar, Francisco Kerche, Giulia Tucci, Janna Joceli Omena and Thais Lobo [alphabetical order].

Brazilian political bots have been active since 2014 to influence elections through the creation and maintenance of fake profiles across social media platforms. In 2017, bots’ influence and forms of interference gained a new status with the emergence of “bot factories” acting in support of Jair Bolsonaro’s election and presidency. What we call bolsobots are inauthentic social media accounts created to consistently support Bolsonaro’s political agenda over the years, namely Bolsonaro as a political candidate, President, and avatar of a conservative and militaristic vision of Brazilian history, where social discipline, Christian values and a strong but economically liberal state aim to uproot the decadent influence of “socialism” (Messenberg, 2019). From viralising or spreading hashtags to establishing target audiences with pro-Bolsonaro “slogan accounts” with a strong, visual presence, these bots have also been tied to documented disinformation campaigns  (Lobo & Carvalho, 2018; Militão & Rebello, 2019; Santini, Salles, & Tucci, 2021). Despite the efforts of social media platforms, including Whatsapp and Telegram, to restrict their more or less coordinated inauthentic activities (Euronews, 2021), bolsobots still exist and actively adapt to online cultures.

Accounting for the upcoming Brazilian 2022 elections, the project Profiling Bolsobots Networks investigates the practices of pro- and anti- Bolsonaro bots across Instagram, Twitter and TikTok. It aims to empirically demonstrate how to capture the operation of bolsobot networks; the types of accounts that constitute bot ecologies; how (differently) bots behave and promote content; how bolsobots change over time and across platforms, pending to different cultures of authenticity; and, finally, how platform moderation policies may impact their activities over time. In doing so, the project will produce a series of research reports on “bolsobot” networks and digital methods recipes to further the understanding of bots’ presence and influence in the communication ecosystem. 

We are (so far) a group of six scholars collaborating on this project: Janna Joceli Omena (Public Data Lab / iNOVA Media Lab / University of Warwick), Thais Lobo (Public Data Lab / King’s College London), Francisco Kerche (Universidade Federal do Rio de Janeiro), Giulia Tucci (Universidade Federal do Rio de Janeiro), Emillie de Keulenaar (OILab / University of Groningen) and Elias Bitencourt (Universidade do Estado da Bahia). Below are some of the preliminary outputs of the project.

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