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相关论文: Predicting the Future with Social Media

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Data from Online Social Networks (OSNs) are providing analysts with an unprecedented access to public opinion on elections, news, movies etc. However, caution must be taken to determine whether and how much of the opinion extracted from OSN…

社会与信息网络 · 计算机科学 2015-03-20 Felix Ming Fai Wong , Soumya Sen , Mung Chiang

This paper presents a systematic online prediction method (Social-Forecast) that is capable to accurately forecast the popularity of videos promoted by social media. Social-Forecast explicitly considers the dynamically changing and evolving…

机器学习 · 计算机科学 2015-06-19 Jie Xu , Mihaela van der Schaar , Jiangchuan Liu , Haitao Li

A large number of studies on social media compare the behaviour of users from different political parties. As a basic step, they employ a predictive model for inferring their political affiliation. The accuracy of this model can change the…

Predicting the popularity of news article is a challenging task. Existing literature mostly focused on article contents and polarity to predict popularity. However, existing research has not considered the users' preference towards a…

社会与信息网络 · 计算机科学 2019-01-29 Roshni Chakraborty , Abhijeet Kharat , Apalak Khatua , Sourav Kumar Dandapat , Joydeep Chandra

One major sub-domain in the subject of polling public opinion with social media data is electoral prediction. Electoral prediction utilizing social media data potentially would significantly affect campaign strategies, complementing…

社会与信息网络 · 计算机科学 2021-07-21 Michael Caballero

Societal events shape the Internet's behavior. The death of a prominent public figure, a software launch, or a major sports match can trigger sudden demand surges that overwhelm peering points and content delivery networks. Although these…

网络与互联网体系结构 · 计算机科学 2025-09-25 Jonatan Langlet , Mariano Scazzariello , Flavio Luciani , Marta Burocchi , Dejan Kostić , Marco Chiesa

The increasing popularity of the social networking service, Twitter, has made it more involved in day-to-day communications, strengthening social relationships and information dissemination. Conversations on Twitter are now being explored…

社会与信息网络 · 计算机科学 2017-01-16 Oluwaseun Ajao , Jun Hong , Weiru Liu

Social Media have been extensively used for commercial and political communication, besides their initial scope of providing an easy-to-use outlet to produce and consume user-generated content. Besides being a popular medium, Social Media…

社会与信息网络 · 计算机科学 2022-10-17 Kostas Karpouzis , Stavros Kaperonis , Yannis Skarpelos

We predict the popularity of short messages called tweets created in the micro-blogging site known as Twitter. We measure the popularity of a tweet by the time-series path of its retweets, which is when people forward the tweet to others.…

社会与信息网络 · 计算机科学 2014-11-25 Tauhid Zaman , Emily B. Fox , Eric T. Bradlow

The study of how social media affects the formation of public opinion and its influence on political results has been a popular field of inquiry. However, current approaches frequently offer a limited comprehension of the complex political…

社会与信息网络 · 计算机科学 2024-05-14 Pratik Gujral , Kshitij Awaldhi , Navya Jain , Bhavuk Bhandula , Abhijnan Chakraborty

Predicting X from Twitter is a popular fad within the Twitter research subculture. It seems both appealing and relatively easy. Among such kind of studies, electoral prediction is maybe the most attractive, and at this moment there is a…

计算机与社会 · 计算机科学 2015-03-20 Daniel Gayo-Avello

User sentiment on social media reveals the underlying social trends, crises, and needs. Researchers have analyzed users' past messages to trace the evolution of sentiments and reconstruct sentiment dynamics. However, predicting the imminent…

计算与语言 · 计算机科学 2025-12-25 Fanhang Man , Huandong Wang , Jianjie Fang , Zhaoyi Deng , Baining Zhao , Xinlei Chen , Yong Li

Social media users share their ideas, thoughts, and emotions with other users. However, it is not clear how online users would respond to new research outcomes. This study aims to predict the nature of the emotions expressed by Twitter…

信息检索 · 计算机科学 2022-09-16 Murtuza Shahzad , Hamed Alhoori

Online social media such as Twitter, Facebook, Wikis and Linkedin have made a great impact on the way we consume information in our day to day life. Now it has become increasingly important that we come across appropriate content from the…

社会与信息网络 · 计算机科学 2015-08-17 Anusha A. , Sanjay Singh

Popularity of content in social media is unequally distributed, with some items receiving a disproportionate share of attention from users. Predicting which newly-submitted items will become popular is critically important for both…

计算机与社会 · 计算机科学 2010-04-30 Kristina Lerman , Tad Hogg

Sentiment Analysis of microblog feeds has attracted considerable interest in recent times. Most of the current work focuses on tweet sentiment classification. But not much work has been done to explore how reliable the opinions of the mass…

机器学习 · 计算机科学 2019-12-12 Rahul Radhakrishnan Iyer , Ronghuo Zheng , Yuezhang Li , Katia Sycara

News articles are extremely time sensitive by nature. There is also intense competition among news items to propagate as widely as possible. Hence, the task of predicting the popularity of news items on the social web is both interesting…

计算机与社会 · 计算机科学 2012-02-07 Roja Bandari , Sitaram Asur , Bernardo A. Huberman

Solicited public opinion surveys reach a limited subpopulation of willing participants and are expensive to conduct, leading to poor time resolution and a restricted pool of expert-chosen survey topics. In this study, we demonstrate that…

物理与社会 · 物理学 2016-08-09 Emily M. Cody , Andrew J. Reagan , Peter Sheridan Dodds , Christopher M. Danforth

Among the vast information available on the web, social media streams capture what people currently pay attention to and how they feel about certain topics. Awareness of such trending topics plays a crucial role in multimedia systems such…

社会与信息网络 · 计算机科学 2014-06-17 Tim Althoff , Damian Borth , Jörn Hees , Andreas Dengel

Popularity of content in social media is unequally distributed, with some items receiving a disproportionate share of attention from users. Predicting which newly-submitted items will become popular is critically important for both hosts of…

计算机与社会 · 计算机科学 2010-10-04 Kristina Lerman , Tad Hogg