Social media framing,
narratives and networks.
AgendaZ SPINE is a research platform that collects, classifies, and visualises social media posts across Facebook, Instagram, Twitter/X, TikTok, Bluesky, YouTube, and Telegram for nine politically salient topics: LGBTQ rights, the Ukrainian war, EU elections, Climate change, Migration, Public health (COVID-19), Social inequality, Corruption and Security. Posts are coded for narrative claims and illiberal framing codes.
Multi-platform. Narrative-coded. Networked.
AgendaZ SPINE aggregates ~2.4 million posts from Facebook, Instagram, Twitter/X, TikTok, Bluesky, YouTube, and Telegram. Each post is classified for its primary topic frame across nine domains — LGBTQ rights, the Ukrainian war, EU elections, Climate change, Migration, Public health (COVID-19), Social inequality, Corruption and Security — using multilabel classifiers (fine-tuned transformer-/generative-based or semi-supervised models) trained at poltextLAB.
A separate illiberal-framing layer assigns narrative labels (Embedding_label) and related illframes codes, enabling researchers to trace how politically charged frames spread across platforms and actor networks.
Data explorer, network graphs, communities, and statistics.
The Data Explorer lets you filter by platform, narrative label, or keyword and browse the full post-level dataset with pagination — all 32 variables are accessible in the detail panel.
The Network Visualisations show how accounts co-share content within each topic domain, rendered as interactive force-directed graphs coloured by community cluster.
The Communities page breaks down the top 10 largest coordinated clusters per domain — listing the accounts in each cluster, the timeline of co-sharing events, and the posts behind each connection.
The Statistics page provides temporal activity charts, peak-period label breakdowns, platform distributions, and a cross-domain comparison for all nine topic domains.