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This study investigates how YouTube content creators utilize scientific evidence in videos. Log-linear regression examines the influence of alternative communication channels on video creators in Biotechnology, using data from 81,302 papers…

Digital Libraries · Computer Science 2026-01-22 Pablo Dorta-González , María Isabel Dorta-González

From politicians to podcast hosts, online platforms have systematically banned (``deplatformed'') influential users for breaking platform guidelines. Previous inquiries on the effectiveness of this intervention are inconclusive because 1)…

Social and Information Networks · Computer Science 2024-01-03 Manoel Horta Ribeiro , Shagun Jhaver , Jordi Cluet i Martinell , Marie Reignier-Tayar , Robert West

This paper proposes a three-year average of social attention as a more reliable measure of social impact for journals, since the social attention of research can vary widely among scientific articles, even within the same journal. The…

Digital Libraries · Computer Science 2023-03-24 Pablo Dorta-González

Social media is nearly ubiquitous in modern life, raising concerns about its societal impacts -- from mental health and polarization to violence and democratic disruption. Yet research on its causal effects is still inconclusive: Various…

Social and Information Networks · Computer Science 2026-04-24 Joseph B. Bak-Coleman , Stephan Lewandowsky , Philipp Lorenz-Spreen , Arvind Narayanan , Amy Orben , Lisa Oswald

Research into influence campaigns on Twitter has mostly relied on identifying malicious activities from tweets obtained via public APIs. These APIs provide access to public tweets that have not been deleted. However, bad actors can delete…

Social and Information Networks · Computer Science 2022-03-30 Christopher Torres-Lugo , Manita Pote , Alexander Nwala , Filippo Menczer

Social networks play a fundamental role in the diffusion of information. However, there are two different ways of how information reaches a person in a network. Information reaches us through connections in our social networks, as well as…

Social and Information Networks · Computer Science 2012-06-08 Seth A. Myers , Chenguang Zhu , Jure Leskovec

During the COVID-19 pandemic, scientific knowledge evolved rapidly, accompanied by a surge of misinformation, labelled an infodemic by the WHO. In this context, we study the interaction between science and misinformation on Twitter (now X)…

Physics and Society · Physics 2025-10-21 Lucila G. Alvarez-Zuzek , Juan P. Bascur , Anna Bertani , Riccardo Gallotti , Vincent A. Traag

Platforms are increasingly relying on algorithms to curate the content within users' social media feeds. However, the growing prominence of proprietary, algorithmically curated feeds has concealed what factors influence the presentation of…

Human-Computer Interaction · Computer Science 2025-08-11 Jackie Chan , Fred Choi , Koustuv Saha , Eshwar Chandrasekharan

Distorted science communication harms individuals and society as it can lead to unhealthy behavior change and decrease trust in scientific institutions. Given the rapidly increasing volume of science communication in recent years, a…

Computation and Language · Computer Science 2024-02-21 Amelie Wührl , Dustin Wright , Roman Klinger , Isabelle Augenstein

How does the published scientific literature used by scientific community? Many previous studies make analysis on the static usage data. In this research, we propose the concept of dynamic usage data. Based on the platform of…

Digital Libraries · Computer Science 2014-06-24 Xianwen Wang , Zhi Wang , Wenli Mao , Chen Liu

Social media can be viewed as a social system where the currency is attention. People post content and interact with others to attract attention and gain new followers. In this paper, we examine the distribution of attention across a large…

Social and Information Networks · Computer Science 2016-01-28 Linhong Zhu , Kristina Lerman

As the number and the diversity of news outlets on the Web grow, so does the opportunity for "alternative" sources of information to emerge. Using large social networks like Twitter and Facebook, misleading, false, or agenda-driven…

In the age of social news, it is important to understand the types of reactions that are evoked from news sources with various levels of credibility. In the present work we seek to better understand how users react to trusted and deceptive…

Computation and Language · Computer Science 2018-05-31 Maria Glenski , Tim Weninger , Svitlana Volkova

We modify a canonical experimental design to identify the effectiveness of retractions. Comparing beliefs after retractions to beliefs (a) without the retracted information and (b) after equivalent new information, we find that retractions…

General Economics · Economics 2025-03-03 Duarte Gonçalves , Jonathan Libgober , Jack Willis

The spread of misinformation on social media is a pressing societal problem that platforms, policymakers, and researchers continue to grapple with. As a countermeasure, recent works have proposed to employ non-expert fact-checkers in the…

Social and Information Networks · Computer Science 2023-03-28 Chiara Drolsbach , Nicolas Pröllochs

This study examines the use of evidence in policymaking by analysing a range of journal and article attributes, as well as online engagement metrics. It employs a large-scale citation analysis of nearly 150,000 articles covering diverse…

Digital Libraries · Computer Science 2025-04-29 Pablo Dorta-González

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

Collective and individual action necessary to address climate change hinges on the public's understanding of the relevant scientific findings. In this study, we examine the use of scientific sources in the course of 14 years of public…

Computers and Society · Computer Science 2025-02-10 Paolo Cornale , Michele Tizzani , Fabio Ciulla , Kyriaki Kalimeri , Elisa Omodei , Daniela Paolotti , Yelena Mejova

We measure trends in the diffusion of misinformation on Facebook and Twitter between January 2015 and July 2018. We focus on stories from 570 sites that have been identified as producers of false stories. Interactions with these sites on…

Social and Information Networks · Computer Science 2018-09-18 Hunt Allcott , Matthew Gentzkow , Chuan Yu

Twitter is a common site of offensive language. Prior literature has shown that the emotional content of tweets can heavily impact their diffusion when discussing political topics. We extend prior work to look at offensive tweets that link…

Social and Information Networks · Computer Science 2024-02-28 Richard Zhang , Emőke-Ágnes Horvát
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