fg-zettelkasten

A topic-anchored Zettelkasten built from the toread paper feed — 278 papers across 20 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 (44 papers) — Detection and analysis of coordinated link-sharing and inauthentic network activity on social media platforms, the core methodological signature of the researcher’s work (CooRnet, CLSB method) now extended through the VERA-AI Alert monitoring system and continued in vera.ai WP4. Encompasses studies of coordinated networks across elections, health topics, and platform policy responses.
  • Disinformation Narratives & Information Operations (45 papers) — Monitoring and mapping the propagation of disinformation narratives (war in Ukraine, LGBTQI+ issues, European elections) and deceptive information operations, including generative-AI-driven persuasion tactics (e.g. gambling promotion, ‘Zombie Internet’ cases). Anchored in the PROMPT project and its associated recent publications.
  • Platform Data Access & Governance (49 papers) — Research on the changing landscape of social media research APIs, data access tools, and platform governance under the Digital Service Act, including analyses of Meta’s policy shifts (URL Shares Dataset thresholds, Political Content Reduction Policy) and the transition from open (‘Wild West’) to restricted (‘Walled Garden’) data environments.
  • Political Polarization & Partisan Dynamics (51 papers) — Studies of partisan community engagement, affective polarization, and cross-partisan media exposure on social platforms, spanning Italian, Brazilian, and comparative contexts; includes recent work on pro-Bolsonaro Facebook networks and the interplay of social/traditional media in amplifying political extremes.
  • LLMs & Computational Content Analysis Methods (40 papers) — Methodological research into using large language models and embedding techniques for text classification, annotation, and clustering in communication studies, including validation challenges of LLM-in-the-loop pipelines — a fast-growing methodological front tied to current teaching (Generative AI and Media) and multiple 2024-2026 publications.
  • Health Misinformation & Fact-Checking (15 papers) — Investigation of coordinated networks circulating problematic health content (COVID-19, general health topics) across Italy, India, and Nigeria, and development of tools/methods to accelerate fact-checking of nefarious social media actors.
  • Italian Electoral Communication (23 papers) — Long-running empirical program mapping Italian news media coverage, Facebook/Instagram engagement, and coordinated online activity around national elections (2018, 2019 European, 2022), forming the founding and continuing thread of the MINE research program.
  • Social TV & Audience Engagement (2 papers) — Earlier but recurring research strand on second-screen practices, Twitter-based TV audience participation, and social television engagement in Italy, reflected in encyclopedia entries and retrospective handbook contributions.
  • Sociocybernetics & Social Systems Theory (11 papers) — Theoretical foundation connecting internet studies to sociocybernetics and social systems theory, informing the researcher’s broader interpretive framework for understanding digital media as complex social systems; sustained through ISA World Congress contributions and Current Sociology special issue work.
  • Public and Sociotechnical Approaches to AI Safety Evaluation (5 papers) — Papers framing AI safety practices—red-teaming and evaluation—as sociotechnical activities requiring public involvement, labor consideration, and participatory science methods rather than purely technical procedures.
  • Online Radicalization and Extremism Across Platforms (17 papers) — Empirical and review studies of how extremist actors (far-right, jihadist) exploit platform affordances, algorithms, and multimodal content to spread and normalize radical ideologies online.
  • Retrospective Essays on Platformization and Social Media’s Trajectory (29 papers) — Reflective anniversary/position essays diagnosing the current state of social media and platform economies, tracing how platformization, political economy, and scam/extractive logics have reshaped online life over the past decade.
  • Public Attitudes and Labor Experiences with AI (18 papers) — Survey- and discourse-based studies of how publics and workers perceive, use, and are shaped by AI systems, including stakeholder discourse, national attitudes, and worker-reported productivity and displacement effects.
  • LLMs and Computational Methods for Research Workflows (16 papers) — Methodological papers deploying LLMs or fine-tuned models to augment scholarly tasks such as peer review, qualitative coding, and domain-specific classification, with attention to human-in-the-loop design and evaluation.
  • Message-Based Interventions for Climate Communication and Misinformation Resistance (12 papers) — Experimental and review studies testing how framed messages, chatbots, or inoculation techniques shape audience attitudes, resistance to misinformation, and engagement with climate or conspiracy content.
  • Survey Data Quality, Comprehension, and Recruitment (10 papers) — Papers examining the methodological foundations of online survey research, including whether respondents understand survey questions as intended, how representative and valid different opt-in sample sources are, and how novel platform-based recruitment strategies (e.g., Facebook ads) can be used and evaluated for reaching hard-to-survey populations.
  • Computational Approaches to Social Network Structure and Community Formation (27 papers) — Papers developing or applying computational/graph-based methods to detect, map, and explain emergent structural patterns—communities, practice clusters, and transitive ties—in large-scale online social networks, using techniques such as self-supervised graph embeddings and causal network analysis.
  • Cultural Imaginaries and Framings of Generative AI (20 papers) — Papers examining how generative AI is culturally imagined, discursively framed, and theorized as a medium, ranging from newspaper coverage and Silicon Valley community discourse to media-theoretical accounts of AI’s distinctive properties as a creative medium.
  • Recalibrating misinformation exposure and harms narratives (34 papers) — Papers that use empirical, large-scale, or naturalistic data to challenge alarmist public and scholarly assumptions about the prevalence, exposure patterns, and societal harms of online misinformation, showing that exposure is concentrated among few users, effects are limited, and everyday misinformation is broader and less exotic than commonly assumed.
  • Conspiracy Narratives Across Media Contexts (3 papers) — Studies examining how conspiracy theories and conspiratorial narratives are formed, represented, and circulated across different media environments—including journalism, alternative media networks, and image-centric social platforms like Instagram—focusing on the media logics and discursive strategies that shape conspiracy belief and narrative construction.

Structures

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

Graph View