fg-zettelkasten

fg-zettelkasten

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fg-zettelkasten

A topic-anchored Zettelkasten built from the toread paper feed — 223 papers across 15 topics. The name follows the Niklas Luhmann archive model: each Topic is a Schlagwort (keyword) register that links back to every paper it covers. Use the graph, backlinks, and search to explore; the entry points below group the archive by theme.

Latest papers

Most recent additions to the feed.

Topics

Thematic registers — each lists every paper assigned to it.

  • Coordinated Inauthentic Behavior (32 papers) — Detection, conceptualisation, and longitudinal study of coordinated link sharing and inauthentic networks on social media platforms. This is the PI’s signature research line, anchoring CooRnet, vera.ai WP4, and a series of election studies across Italy, Germany, Brazil, India, and Nigeria.
  • Information Disorder and Disinformation (71 papers) — Studies of misinformation, disinformation, fake news, and problematic content circulation within hybrid media systems, including narrative monitoring and fact-checking infrastructure. Central to PROMPT, MINE-FACTS, and the PI’s conceptual work on the hybrid news system.
  • Platform Governance and Data Access (60 papers) — Critical analysis of platform policies, algorithmic governance, content moderation, and the shifting landscape of social media research APIs in the DSA era. Covers Meta’s political content reduction, the CrowdTangle shutdown, and the methodological consequences for independent research.
  • Italian Elections and Political Communication (8 papers) — Empirical mapping of Italian political coverage, partisan attention, hyperpartisan networks, and campaign dynamics on social media across the 2018, 2019, and 2022 election cycles. The longest-running empirical thread of the MINE programme.
  • Computational Methods and LLMs in Communication Research (28 papers) — Development and validation of computational pipelines — including large language models, embedding models, and LLMs-in-the-loop workflows — for text classification, annotation, and clustering in communication studies. A growing methodological agenda visible in recent publications and the new MA course on Generative AI and Media.
  • Generative AI and Media (22 papers) — Investigation of how generative AI reshapes visual persuasion, news production, and online manipulation, including synthetic content in coordinated gambling promotion and the agentic framing of AI in news. Combines a research strand with a dedicated Master’s course.
  • Health Misinformation and Online Health Information (9 papers) — Cross-national studies of problematic health content circulation, COVID-19 fact-checking, vaccine and pandemic discourse, and the role of online gatekeepers in shaping health information. Anchored in MINE-FACTS and the Gates-funded India/Nigeria project.
  • Social Media Research Methods and Digital Traces (38 papers) — Methodological work on using digital traces — Facebook ads for survey recruitment, URL Shares datasets, user-sequence mining, multi-platform analysis — as research instruments, including their limits, ethics, and reproducibility. Bridges the PI’s long-standing engagement with computational social science.
  • News Consumption and Partisan Attention (21 papers) — Analyses of how news circulates and is engaged with on Facebook and Instagram, including partisan alignment, journalistic quality, insularity, cross-partisan exposure, and the European newsfeed. Includes work on the Multi-Party Media Partisanship Attention Score.
  • Social TV and Audience Engagement (1 paper) — Earlier and continuing line of work on second-screen practices, Twitter conversations around television, and audience participation across genres. Still surfaces in encyclopedic entries and provides historical depth to the PI’s digital-platforms agenda.
  • Internet Studies and Social Theory (9 papers) — Conceptual and theoretical reflection on digital media, sociocybernetics, and the social construction of online environments — the disciplinary frame of the PI’s chair and PhD/MA teaching in Internet Studies.
  • Red-Teaming Generative AI as Sociotechnical Practice (3 papers) — Papers that conceptualize red-teaming of generative AI not as a narrow technical security exercise but as a sociotechnical and participatory practice, examining its labor arrangements, value judgments, public-interest dimensions, and how lived-experience or public involvement can strengthen AI evaluation and accountability.
  • Online Radicalization and Far-Right Mainstreaming (3 papers) — Studies examining how digital platforms enable the radicalization process and the mainstreaming of far-right and extremist content, including reviews of the online-radicalization research field and empirical analyses of how affective, memetic, and platform-specific strategies normalize extremist worldviews.
  • Climate Change Communication and Misinformation (3 papers) — Empirical and review studies on how climate change is communicated, contested, and persuaded about in media environments, including message-testing megastudies, experimental work on climate misinformation and fallacies, and systematic reviews of visual climate communication.
  • Polarization and Depolarization in Online Political Communication (3 papers) — Papers analyzing the dynamics of political polarization in digital environments and theorizing or evaluating routes toward depolarization, spanning systematic reviews of depolarization recommendations, empirical analyses of cross-ideological (non-)interaction on platforms, and normative-theoretical proposals for deliberative reciprocity online.

Structures

Curated narratives tracing a line of argument across the papers in a topic.

Graph View