{"title":"A Topic-wise Exploration of the Telegram Group-verse","authors":"Alessandro Perlo, Giordano Paoletti, Nikhil Jha, Luca Vassio, Jussara Almeida, Marco Mellia","doi":"arxiv-2409.02525","DOIUrl":null,"url":null,"abstract":"Although currently one of the most popular instant messaging apps worldwide,\nTelegram has been largely understudied in the past years. In this paper, we aim\nto address this gap by presenting an analysis of publicly accessible groups\ncovering discussions encompassing different topics, as diverse as Education,\nErotic, Politics, and Cryptocurrencies. We engineer and offer an open-source\ntool to automate the collection of messages from Telegram groups, a\nnon-straightforward problem. We use it to collect more than 50 million messages\nfrom 669 groups. Here, we present a first-of-its-kind, per-topic analysis,\ncontrasting the characteristics of the messages sent on the platform from\ndifferent angles -- the language, the presence of bots, the type and volume of\nshared media content. Our results confirm some anecdotal evidence, e.g., clues\nthat Telegram is used to share possibly illicit content, and unveil some\nunexpected findings, e.g., the different sharing patterns of video and stickers\nin groups of different topics. While preliminary, we hope that our work paves\nthe road for several avenues of future research on the understudied Telegram\nplatform.","PeriodicalId":501032,"journal":{"name":"arXiv - CS - Social and Information Networks","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Social and Information Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.02525","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Although currently one of the most popular instant messaging apps worldwide,
Telegram has been largely understudied in the past years. In this paper, we aim
to address this gap by presenting an analysis of publicly accessible groups
covering discussions encompassing different topics, as diverse as Education,
Erotic, Politics, and Cryptocurrencies. We engineer and offer an open-source
tool to automate the collection of messages from Telegram groups, a
non-straightforward problem. We use it to collect more than 50 million messages
from 669 groups. Here, we present a first-of-its-kind, per-topic analysis,
contrasting the characteristics of the messages sent on the platform from
different angles -- the language, the presence of bots, the type and volume of
shared media content. Our results confirm some anecdotal evidence, e.g., clues
that Telegram is used to share possibly illicit content, and unveil some
unexpected findings, e.g., the different sharing patterns of video and stickers
in groups of different topics. While preliminary, we hope that our work paves
the road for several avenues of future research on the understudied Telegram
platform.