mlsanityData to 14 Oct 2026

ACTI at EVALITA 2023: Overview of the Conspiracy Theory Identification Task

arXiv 2307.06954 ↗First posted 12 Jul 2023cs.CL cs.AIcited by 2

Not on the map. Why?

Abstract (arXiv)

Conspiracy Theory Identication task is a new shared task proposed for the first time at the Evalita 2023. The ACTI challenge, based exclusively on comments published on conspiratorial channels of telegram, is divided into two subtasks: (i) Conspiratorial Content Classification: identifying conspiratorial content and (ii) Conspiratorial Category Classification about specific conspiracy theory classification. A total of fifteen teams participated in the task for a total of 81 submissions. We illustrate the best performing approaches were based on the utilization of large language models. We finally draw conclusions about the utilization of these models for counteracting the spreading of misinformation in online platforms.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 4 of its 23 references that are in the map. First posted on arXiv 12 Jul 2023.

Builds on

4 of 23 references.

References · 4

  1. 2022Spillover of Antisocial Behavior from Fringe Platforms: The Unintended Consequences of Community Banningcited by 14
  2. 2021"I Won the Election!": An Empirical Analysis of Soft Moderation Interventions on Twittercited by 10
  3. 2022Understanding Online Migration Decisions Following the Banning of Radical Communitiescited by 6
  4. 2022Rethinking the Event Coding Pipeline with Prompt Entailmentcited by 5

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 1; 2024: 0; 2025: 0; 2026: 1.

2 papers.