  Telegram has grown into a significant platform for news and information
sharing, favored for its anonymity and minimal moderation. This openness,
however, makes it vulnerable to misinformation and conspiracy theories. In this
study, we explore the dynamics of conspiratorial narrative dissemination within
Telegram, focusing on Italian and English landscapes. In particular, we
leverage the mechanism of message forwarding within Telegram and collect two
extensive datasets through snowball strategy. We adopt a network-based approach
and build the Italian and English Telegram networks to reveal their respective
communities. By employing topic modeling, we uncover distinct narratives and
dynamics of misinformation spread. Results highlight differences between
Italian and English conspiracy landscapes, with Italian discourse involving
assorted conspiracy theories and alternative news sources intertwined with
legitimate news sources, whereas English discourse is characterized by a more
focused approach on specific narratives such as QAnon and political
conspiracies. Finally, we show that our methodology exhibits robustness across
initial seed selections, suggesting broader applicability. This study
contributes to understanding information and misinformation spread on Italian
and English Telegram ecosystems through the mechanism of message forwarding
