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相关论文: Quantifying the Effect of Sentiment on Information…

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Nowadays, people from all around the world use social media sites to share information. Twitter for example is a platform in which users send, read posts known as tweets and interact with different communities. Users share their daily…

计算与语言 · 计算机科学 2020-07-14 Antony Samuels , John Mcgonical

Opinion dynamics is an important and very active area of research that delves into the complex processes through which individuals form and modify their opinions within a social context. The ability to comprehend and unravel the mechanisms…

物理与社会 · 物理学 2025-03-19 Giacomo Albi , Elisa Calzola , Giacomo Dimarco

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…

社会与信息网络 · 计算机科学 2018-09-18 Hunt Allcott , Matthew Gentzkow , Chuan Yu

Trends in online social media always reflect the collective attention of a vast number of individuals across the network. For example, Internet slang words can be ubiquitous because of social memes and online contagions in an extremely…

社会与信息网络 · 计算机科学 2014-09-08 Leihan Zhang , Jichang Zhao , Ke Xu

Behavioral economics show us that emotions play an important role in individual behavior and decision-making. Does this also affect collective decision making in a community? Here we investigate whether the community sentiment energy of a…

社会与信息网络 · 计算机科学 2017-09-11 Xiang Wang , Chen Wang , Zhaoyun Ding , Min Zhu , Jiumin Huang

The rich and dynamic information environment of social media provides researchers, policy makers, and entrepreneurs with opportunities to learn about social phenomena in a timely manner. However, using this data to understand social…

社会与信息网络 · 计算机科学 2025-03-24 Siyi Guo , Zihao He , Ashwin Rao , Eugene Jang , Yuanfeixue Nan , Fred Morstatter , Jeffrey Brantingham , Kristina Lerman

In online social media systems users are not only posting, consuming, and resharing content, but also creating new and destroying existing connections in the underlying social network. While each of these two types of dynamics has…

社会与信息网络 · 计算机科学 2014-03-13 Seth A. Myers , Jure Leskovec

Emotions play an important role in interpersonal interactions and social conflict, yet their function in the development of controversy and disagreement in online conversations has not been explored. To address this gap, we study…

计算与语言 · 计算机科学 2022-12-02 Kai Chen , Zihao He , Rong-Ching Chang , Jonathan May , Kristina Lerman

Studying information propagation dynamics in social media can elucidate user behaviors and patterns. However, previous research often focuses on single platforms and fails to differentiate between the nuanced roles of source users and other…

社会与信息网络 · 计算机科学 2024-02-01 Dongpeng Hou , Shu Yin , Chao Gao , Xianghua Li , Zhen Wang

Measuring the impact and success of human performance is common in various disciplines, including art, science, and sports. Quantifying impact also plays a key role on social media, where impact is usually defined as the reach of a user's…

社会与信息网络 · 计算机科学 2019-04-09 Kiran Garimella , Robert West

It is commonly believed that information spreads between individuals like a pathogen, with each exposure by an informed friend potentially resulting in a naive individual becoming infected. However, empirical studies of social media suggest…

社会与信息网络 · 计算机科学 2014-03-24 Nathan O. Hodas , Kristina Lerman

Rumours in online social media pose significant risks to modern society, motivating the need for better understanding of how they develop. We focus specifically on the interface between emotion and rumours in threaded discourses, building…

人工智能 · 计算机科学 2025-05-15 Rui Xing , Boyang Sun , Kun Zhang , Preslav Nakov , Timothy Baldwin , Jey Han Lau

Recent studies suggest that human emotions diffuse in not only real-world communities but also online social media. More and more mechanisms beyond emotion contagion are revealed, including emotion correlations which indicate their…

社会与信息网络 · 计算机科学 2018-01-17 Rui Fan , Ke Xu , Jichang Zhao

The spread of information has become faster and wider than ever with the advent of social network platforms. The question raised in this study is whether information dissemination in social networks is random or follows a discernible…

社会与信息网络 · 计算机科学 2026-03-30 Rozhin Mohammadikian , Parsa Bigdeli , Behrouz Askari , G. Reza Jafari

The rich and dynamic information environment of social media provides researchers, policy makers, and entrepreneurs with opportunities to learn about social phenomena in a timely manner. However, using these data to understand social…

社会与信息网络 · 计算机科学 2024-01-15 Siyi Guo , Zihao He , Ashwin Rao , Fred Morstatter , Jeffrey Brantingham , Kristina Lerman

Social media generate data on human behaviour at large scales and over long periods of time, posing a complementary approach to traditional methods in the social sciences. Millions of texts from social media can be processed with…

社会与信息网络 · 计算机科学 2021-07-29 David Garcia , Max Pellert , Jana Lasser , Hannah Metzler

News media often shape the public mood not only by what they report but by how they frame it. The same event can appear calm in one outlet and alarming in another, reflecting subtle emotional bias in reporting. Negative or emotionally…

计算与语言 · 计算机科学 2025-10-21 Mohd Ruhul Ameen , Akif Islam , Abu Saleh Musa Miah , Ayesha Siddiqua , Jungpil Shin

Online social networks facilitate the diffusion of misinformation. Some theorists construe the problem of misinformation as a problem of knowledge, hence of ignorance. This assumption leads to solutions in which misinformation (false…

社会与信息网络 · 计算机科学 2022-08-16 Brett Bourbon , Renita Murimi

Large quantities of data flow on the internet. When a user decides to help the spread of a piece of information (by retweeting, liking, posting content), most research works assumes she does so according to information's content,…

社会与信息网络 · 计算机科学 2022-04-22 Gaël Poux-Médard , Julien Velcin , Sabine Loudcher

People regularly share items using online social media. However, people's decisions around sharing---who shares what to whom and why---are not well understood. We present a user study involving 87 pairs of Facebook users to understand how…

人机交互 · 计算机科学 2014-12-04 Amit Sharma , Dan Cosley