Digital Methods Winter School 2023 ’The use and misuse of Open Source Intelligence (OSINT)’ 9-13 January 2023 New Media & Digital Culture Media Studies University of Amsterdam Turfdraagsterpad 9 1012 XT Amsterdam the Netherlands Call for participation 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. The use and misuse of Open Source Intelligence (OSINT) From geolocating burning tanks in the Ukrainian fields and determining the authenticity of videos depicting possible human rights violations in Cameroon to reconstructing the events of January 6, 2021 in the Capitol building in Washington, D.C., activists, journalists, and the general public are increasingly turning to a (somewhat) new ally: Open Source Intelligence (OSINT). The systematization of information gathered from open, often internet-based, sources (as opposed to the classified sources of governmental intelligence) using digital tools, as OSINT may be defined, is turning into a highly regarded strategy to build public narratives of truth. Recently, major news outlets such as The Guardian, The New York Times, and the BBC have added OSINT units or ‘visual investigation’ teams. They join more established investigation units from international civil society such as those of Amnesty International and Human Rights Watch, academic research institutions such as Berkley's Human Rights Investigations Lab, and citizen intelligence agencies like Bellingcat. Recent news articles have described the rise of open source intelligence as challenging existing authorities, especially state-controlled or other official information sources. In doing so, OSINT practitioners have developed a particular set of reporting formats and verification tools that strengthen the epistemic authority of their practices. For example, crowd-sourced information from Twitter or Telegram is arranged next to video stills pulled from popular platforms or satellite images from public providers in order to put together and strengthen the argument of what actually happened. OSINT has developed a signature 'investigative aesthetic' and style, dramatised and popularised by organisations striving for justice, such as Forensic Architecture, or preserving the memory of wars, such as the Syrian Archive. OSINT also taps into the transparency strategies of the open source ethos and the encouragement of DIY hacker culture. Professional and lay OSINT practitioners curate lists of tools, draft how-to guides and share training materials on YouTube and elsewhere to empower others to undertake similar work. These have been applied to projects that fight climate change and trace illicit money flowing through circuitous corporate structures. They also have found an eager audience in those who dig for and post updates about conspiracy theories such as QAnon. Whether it is misuse or weaponisation, OSINT practices and styles have also been adopted by misinformation operatives such as 'War on Fakes'. The Winter School takes up OSINT as an investigative practice and aesthetic. It offers critical research projects on data journalism, fact-checking and other investigative projects employing online data. It also combines OSINT tools with digital methods and other online research techniques for academic research that make use of verification. Finally, it analyses its cultures of practice and how it establishes and undermines others' epistemic authority. At the Winter School there are the usual social media tool training tutorials for working on single and cross-platform analysis, but also continued attention to thinking through and proposing how to work critically with social media data, both from mainstream social media platforms as well as so-called alt tech. Apart from the keynotes and the training tutorials, there are also empirical and conceptual projects that participants work on. Projects from the past Summer and Winter Schools include: Detecting Conspiratorial Hermeneutics via Words & Images, Mapping the Fringe on Telegram; Greenwashing, in_authenticity & protest; Searching constructive/authentic posts in media comment sections, Mapping deepfakes with digital methods and visual analytics, “Go back to plebbit”: Mapping the platform antagonism between 4chan and Reddit, Profiling Bolsobots Networks, Infodemic cross-platform analysis, Post-Trump Information Ecology, Streams of Conspirational Folklore, and FilterTube: Investigating echo chambers, filter bubbles and polarization on YouTube. The most recent school had some of the following projects: Climate imaginaries; Repurposing Google Ads; What is a meme, technically speaking?; Tracing the genealogy and change of TikTok audio memes; Google Autocomplete: Racist results still?; and OK Boomer on Twitter. Winter School ’23 organisers: Kamila Koronska, Richard Rogers and Guillen Torres, Media Studies, University of Amsterdam. Application information at https://wiki.digitalmethods.net/Dmi/WinterSchool2023 <https://www.digitalmethods.net/>. Prof. Richard Rogers Media Studies University of Amsterdam