English
Related papers

Related papers: User Archetypes and Information Dynamics on Telegr…

200 papers

We analyse a Singapore-based COVID-19 Telegram group with more than 10,000 participants. First, we study the group's opinion over time, focusing on four dimensions: participation, sentiment, topics, and psychological features. We find that…

Social and Information Networks · Computer Science 2020-10-21 Lynnette Hui Xian Ng , Loke Jia Yuan

Conspiracy theories have long drawn public attention, but their explosive growth on platforms like Telegram during the COVID-19 pandemic raises pressing questions about their impact on societal trust, democracy, and public health. We…

Social and Information Networks · Computer Science 2025-07-21 Elisabeth Höldrich , Mathias Angermaier , Jana Lasser , Joao Pinheiro-Neto

Toxic and antisocial user behavior on social media platforms has received considerable scholarly attention due to its detrimental effects on society. This study takes a holistic perspective on the phenomenon of online toxicity by…

Social and Information Networks · Computer Science 2025-11-24 Lorenzo Alvisi , Victoria Popa , Guglielmo Cola , Serena Tardelli , Maurizio Tesconi

Although Telegram is currently one of the most popular instant messaging apps in the world, previous studies have mainly focused on analysing discussions on specific angles and topics. In this paper, we present a broad analysis of publicly…

Social and Information Networks · Computer Science 2025-03-18 Alessandro Perlo , Giordano Paoletti , Nikhil Jha , Luca Vassio , Jussara Almeida , Marco Mellia

The COVID-19 pandemic of 2021 led to a worldwide health crisis that was accompanied by an infodemic. A group of 12 social media personalities, dubbed the ``Disinformation Dozen", were identified as key in spreading disinformation regarding…

Computers and Society · Computer Science 2024-02-23 Lynnette Hui Xian Ng , Ian Kloo , Kathleen M. Carley

COVID-19 has become one of the most widely talked about topics on social media. This research characterizes risk communication patterns by analyzing the public discourse on the novel coronavirus from four Asian countries: South Korea, Iran,…

Social and Information Networks · Computer Science 2020-08-17 Sungkyu Park , Sungwon Han , Jeongwook Kim , Mir Majid Molaie , Hoang Dieu Vu , Karandeep Singh , Jiyoung Han , Wonjae Lee , Meeyoung Cha

Messaging platforms, especially those with a mobile focus, have become increasingly ubiquitous in society. These mobile messaging platforms can have deceivingly large user bases, and in addition to being a way for people to stay in touch,…

Social and Information Networks · Computer Science 2020-01-24 Jason Baumgartner , Savvas Zannettou , Megan Squire , Jeremy Blackburn

Though significant efforts such as removing false claims and promoting reliable sources have been increased to combat COVID-19 "misinfodemic", it remains an unsolved societal challenge if lacking a proper understanding of susceptible online…

Social and Information Networks · Computer Science 2021-09-21 Xian Teng , Yu-Ru Lin , Wen-Ting Chung , Ang Li , Adriana Kovashka

Unraveling the role of opinion leaders in the digital realm, this study investigates the influence of key actors on Telegram, a hybrid platform that combines messaging app features with social network dynamics, where channel administrators…

Social and Information Networks · Computer Science 2023-12-29 Giulia Tucci

The coronavirus (COVID-19) pandemic has significantly altered our lifestyles as we resort to minimize the spread through preventive measures such as social distancing and quarantine. An increasingly worrying aspect is the gap between the…

Social and Information Networks · Computer Science 2020-05-22 Muhammad Saad , Muhammad Hassan , Fareed Zaffar

Telegram is one of the most popular instant messaging apps in today's digital age. In addition to providing a private messaging service, Telegram, with its channels, represents a valid medium for rapidly broadcasting content to a large…

Computers and Society · Computer Science 2025-03-04 Massimo La Morgia , Alessandro Mei , Alberto Maria Mongardini

COVID-19 represents the most severe global crisis to date whose public conversation can be studied in real time. To do so, we use a data set of over 350 million tweets and retweets posted by over 26 million English speaking Twitter users…

Social and Information Networks · Computer Science 2021-09-14 Francesco Durazzi , Martin Müller , Marcel Salathé , Daniel Remondini

During the outbreak of the COVID-19 pandemic, social networks become the preeminent medium for communication, social discussion, and entertainment. Social network users are regularly expressing their opinions about the impacts of the…

Social and Information Networks · Computer Science 2021-03-25 Eldor Abdukhamidov , Firuz Juraev , Mohammed Abuhamad , Tamer AbuHmed

The COVID-19 pandemic has produced a flurry of online activity on social media sites. As such, analysis of social media data during the COVID-19 pandemic can produce unique insights into discussion topics and how those topics evolve over…

Social and Information Networks · Computer Science 2020-08-05 Iain J. Cruickshank , Kathleen M. Carley

Telegram is increasingly used for political communication and news dissemination, yet evidence of coordinated content sharing remains limited. We test whether mainstream global news channels coordinate when reporting on Venezuela during…

Social and Information Networks · Computer Science 2026-02-17 Despoina Antonakaki , Sotiris Ioannidis

Conspiracy theories related to climate change denial and anti-science have found fertile ground on Telegram, particularly among Brazilian communities that distrust scientific institutions and oppose global environmental policies. This study…

Computers and Society · Computer Science 2024-09-04 Ergon Cugler de Moraes Silva

Online attention is an increasingly valuable resource in the digital age, with extraordinary events such as the COVID-19 pandemic fuelling fierce competition around it. As misinformation pervades online platforms, users seek credible…

Social and Information Networks · Computer Science 2026-04-07 Yueting Han , Paolo Turrini , Marya Bazzi , Giulia Andrighetto , Eugenia Polizzi , Manlio De Domenico

The emergence of the COVID-19 pandemic resulted in a significant rise in the spread of misinformation on online platforms such as Twitter. Oftentimes this growth is blamed on the idea of the "echo chamber." However, the behavior said to…

Social and Information Networks · Computer Science 2024-12-13 Caleb Stam , Emily Saldanha , Mahantesh Halappanavar , Anurag Acharya

The outbreak of the novel Coronavirus Disease (COVID-19) has greatly influenced people's daily lives across the globe. Emergent measures and policies (e.g., lockdown, social distancing) have been taken by governments to combat this highly…

Information Retrieval · Computer Science 2020-07-07 Hui Yin , Shuiqiao Yang , Jianxin Li

In this work we looked into a dataset of 114 thousands of suspicious messages collected from the most popular closed messaging platform in Taiwan between January and July, 2020. We proposed an hybrid algorithm that could efficiently cluster…

Computers and Society · Computer Science 2021-04-29 Andrea W Wang , Jo-Yu Lan , Chihhao Yu , Ming-Hung Wang
‹ Prev 1 2 3 10 Next ›