  We present the results and the main findings of SemEval-2024 Task 8:
Multigenerator, Multidomain, and Multilingual Machine-Generated Text Detection.
The task featured three subtasks. Subtask A is a binary classification task
determining whether a text is written by a human or generated by a machine.
This subtask has two tracks: a monolingual track focused solely on English
texts and a multilingual track. Subtask B is to detect the exact source of a
text, discerning whether it is written by a human or generated by a specific
LLM. Subtask C aims to identify the changing point within a text, at which the
authorship transitions from human to machine. The task attracted a large number
of participants: subtask A monolingual (126), subtask A multilingual (59),
subtask B (70), and subtask C (30). In this paper, we present the task, analyze
the results, and discuss the system submissions and the methods they used. For
all subtasks, the best systems used LLMs.
