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A very large number of people use Online Social Networks daily. Such platforms thus become attractive targets for agents that seek to gain access to the attention of large audiences, and influence perceptions or opinions. Botnets,…

Social media platforms often assume that users can self-correct against misinformation. However, social media users are not equally susceptible to all misinformation as their biases influence what types of misinformation might thrive and…

Understanding the impact of digital platforms on user behavior presents foundational challenges, including issues related to polarization, misinformation dynamics, and variation in news consumption. Comparative analyses across platforms and…

The rapid growth of social media as a news platform has raised significant concerns about the influence and societal impact of biased and unreliable news on these platforms. While much research has explored user engagement with news on…

社会与信息网络 · 计算机科学 2025-06-03 Alireza Mohammadinodooshan , Niklas Carlsson

The boom in social media with regard to producing and consuming information simultaneously implies the crucial role of online user influence in determining content popularity. In particular, understanding behavior variations between the…

社会与信息网络 · 计算机科学 2020-04-14 Bowen Shi , Ke Xu , Jichang Zhao

Social media allow for an unprecedented amount of interaction between people online. A fundamental aspect of human social behavior, however, is the tendency of people to associate themselves with like-minded individuals, forming homogeneous…

社会与信息网络 · 计算机科学 2014-04-01 Desislava Hristova , Mirco Musolesi , Cecilia Mascolo

A main characteristic of social media is that its diverse content, copiously generated by both standard outlets and general users, constantly competes for the scarce attention of large audiences. Out of this flood of information some topics…

物理与社会 · 物理学 2011-12-21 Chunyan Wang , Bernardo A. Huberman

The content of today's social media is becoming more and more rich, increasingly mixing text, images, videos, and audio. It is an intriguing research question to model the interplay between these different modes in attracting user attention…

社会与信息网络 · 计算机科学 2017-03-07 Jack Hessel , Lillian Lee , David Mimno

Facebook pages offer an easy way to reach out to a very large audience as they can easily be promoted using Facebook's advertising platform. Recently, the number of likes of a Facebook page has become a measure of its popularity and…

社会与信息网络 · 计算机科学 2014-10-07 Emiliano De Cristofaro , Arik Friedman , Guillaume Jourjon , Mohamed Ali Kaafar , M. Zubair Shafiq

The growing prevalence of fruitless disagreement threatens social cohesion and constructive public discourse. While polarised discussions often reflect distrust in the news, the link between disagreement and misinformation remains unclear.…

Unlike traditional media, social media typically provides quantified metrics of how many users have engaged with each piece of content. Some have argued that the presence of these cues promotes the spread of misinformation. Here we…

社会与信息网络 · 计算机科学 2022-07-18 Ziv Epstein , Hause Lin , Gordon Pennycook , David Rand

In order to keep up with the demand of curating the deluge of crowd-sourced content, social media platforms leverage user interaction feedback to make decisions about which content to display, highlight, and hide. User interactions such as…

社会与信息网络 · 计算机科学 2017-07-04 Maria Glenski , Tim Weninger

Consuming news from social media is becoming increasingly popular. Social media appeals to users due to its fast dissemination of information, low cost, and easy access. However, social media also enables the widespread of fake news.…

社会与信息网络 · 计算机科学 2019-05-01 Kai Shu , Xinyi Zhou , Suhang Wang , Reza Zafarani , Huan Liu

It has recently become possible to study the dynamics of information diffusion in techno-social systems at scale, due to the emergence of online platforms, such as Twitter, with millions of users. One question that systematically recurs is…

物理与社会 · 物理学 2017-11-01 Bjarke Mønsted , Piotr Sapieżyński , Emilio Ferrara , Sune Lehmann

With a growing number of social apps, people have become increasingly willing to share their everyday photos and events on social media platforms, such as Facebook, Instagram, and WeChat. In social media data mining, post popularity…

社会与信息网络 · 计算机科学 2019-01-23 Zhongping Zhang , Tianlang Chen , Zheng Zhou , Jiaxin Li , Jiebo Luo

Censuses around the world are key sources of data to guide government investments and public policies. However, these sources are very expensive to obtain and are collected relatively infrequently. Over the last decade, there has been…

社会与信息网络 · 计算机科学 2020-05-19 Filipe N. Ribeiro , Fabrício Benevenuto , Emilio Zagheni

Predicting the future popularity of online content is highly important in many applications. Preferential attachment phenomena is encountered in scale free networks.Under it's influece popular items get more popular thereby resulting in…

信息检索 · 计算机科学 2016-04-06 Khushnood Abbas , Shang Mingsheng , Luo Xin

It is common practice nowadays to use multiple social networks for different social roles. Although this, these networks assume differences in content type, communications and style of speech. If we intend to understand human behaviour as a…

计算机视觉与模式识别 · 计算机科学 2020-05-07 Timur Sokhin , Nikolay Butakov , Denis Nasonov

Social networks have emerged as a critical factor in information dissemination, search, marketing, expertise and influence discovery, and potentially an important tool for mobilizing people. Social media has made social networks ubiquitous,…

计算机与社会 · 计算机科学 2010-03-16 Kristina Lerman , Rumi Ghosh

Predicting the popularity of content is important for both the host and users of social media sites. The challenge of this problem comes from the inequality of the popularity of con- tent. Existing methods for popularity prediction are…

社会与信息网络 · 计算机科学 2013-04-17 Peng Bao , Hua-Wei Shen , Junming Huang , Xueqi Cheng