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arxiv: 2301.05119 · v2 · pith:ICR64PAVnew · submitted 2023-01-12 · 💻 cs.SI

ITA-ELECTION-2022: A multi-platform dataset of social media conversations around the 2022 Italian general election

classification 💻 cs.SI
keywords mediapoliticalsocialdatasetpublicconversationselectiongeneral
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Online social media play a major role in shaping public discourse and opinion, especially during political events. We present the first public multi-platform dataset of Italian-language political conversations, focused on the 2022 Italian general election taking place on September 25th. Leveraging public APIs and a keyword-based search, we collected millions of posts published by users, pages and groups on Facebook, Instagram and Twitter, along with metadata of TikTok and YouTube videos shared on these platforms, over a period of four months. We augmented the dataset with a collection of political ads sponsored on Meta platforms, and a list of social media handles associated with political representatives. Our data resource will allow researchers and academics to further our understanding of the role of social media in the democratic process.

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Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Simulating Online Social Media Conversations on Controversial Topics Using AI Agents Calibrated on Real-World Data

    cs.SI 2025-09 conditional novelty 5.0

    LLM agents calibrated on Italian election data produce coherent posts and realistic network structure but show less tone and toxicity variation than real users, with opinion changes resembling traditional mathematical models.